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11institutetext: Laboratoire de Physique Théorique (UMR 5152 du CNRS), Université Paul Sabatier, 118 route de Narbonne 31062 Toulouse, France
11email: chavanis@irsamc.ups-tlse.fr

Dynamical stability of infinite homogeneous self-gravitating systems: application of the Nyquist method

Pierre-Henri Chavanis
(September 4, 2025)

We complete classical investigations concerning the dynamical stability of an infinite homogeneous gaseous medium described by the Euler-Poisson system or an infinite homogeneous stellar system described by the Vlasov-Poisson system (Jeans problem). To determine the stability of an infinite homogeneous stellar system with respect to a perturbation of wavenumber kk, we apply the Nyquist method. We first consider the case of single-humped distributions and show that, for infinite homogeneous systems, the onset of instability is the same in a stellar system and in the corresponding barotropic gas, contrary to the case of inhomogeneous systems. We show that this result is true for any symmetric single-humped velocity distribution, not only for the Maxwellian. If we specialize on isothermal and polytropic distributions, analytical expressions for the growth rate, damping rate and pulsation period of the perturbation can be given. Then, we consider the Vlasov stability of symmetric and asymmetric double-humped distributions (two-stream stellar systems) and determine the stability diagrams depending on the degree of asymmetry. We compare these results with the Euler stability of two self-gravitating gaseous streams. Finally, we determine the corresponding stability diagrams in the case of plasmas and compare the results with self-gravitating systems.

Key Words.:
Stellar dynamics-hydrodynamics, instabilities

1 Introduction

The dynamical stability of self-gravitating systems is an important problem in astrophysics. This problem was first considered by Jeans (1902,1929) who studied the linear dynamical stability of an infinite homogeneous collision-dominated gas described by the Euler equations. He found that this system becomes unstable if the wavelength of the perturbation exceeds a critical value λc=(πGρ)1/2cs\lambda_{c}=(\frac{\pi}{G\rho})^{1/2}c_{s} (where csc_{s} is the velocity of sound) nowadays called the Jeans length. In that case, the perturbation grows exponentially rapidly without oscillating. By contrast, for small wavelengths λ<λc\lambda<\lambda_{c}, the perturbation oscillates without attenuation and behaves like a gravity-modified sound wave. As is well-known, the Jeans approach suffers from a mathematical inconsistency at the start. Indeed, an infinite homogeneous gravitating system cannot be in static equilibrium since there are no pressure gradients to balance the gravitational force. Jeans removed this inconsistency by assuming that the Poisson equation describes only the relationship between the perturbed gravitational potential and the perturbed density. However, this assumption is ad hoc and is known as the Jeans swindle (Binney & Tremaine 1987). A Jeans-type analysis can however be justified in certain situations: (i) In cosmology, when we work in the comoving frame, the expansion of the universe introduces a sort of “neutralizing background” in the Poisson equation (like in the Jellium model of plasma physics). In that case, an infinite homogeneous self-gravitating medium can be in static equilibrium (Peebles 1980). Therefore, the Jeans instability mechanism is relevant to understand the formation of galaxies from the homogeneous early universe. (ii) If we consider a uniformly rotating system, the gravitational attraction can be balanced by the centrifugal force. Therefore, a homogeneous system can be in static equilibrium in the rotating frame provided that the angular velocity and the density satisfy a well-defined relation (Chandrasekhar 1961). (iii) The Jeans procedure is approximately correct if we only consider perturbations with small wavelengths, much smaller than the Jeans length (Binney & Tremaine 1987).

The dynamical stability of an infinite homogeneous encounterless stellar system described by the Vlasov equation was considered much later by Lynden-Bell (1962)111See also Simon (1961) and Liboff (1963). who used methods similar to those introduced by Landau (1946) in plasma physics. There exists indeed many analogies between self-gravitating systems and plasmas since the Coulombian and Newtonian interactions both correspond to an inverse square law. However, there exists also crucial differences. First of all, gravity is attractive whereas electricity is repulsive. On the other hand, as already indicated, the self-gravity of a uniform gravitating system is usually not neutralized, contrary to a plasma where the presence of electrons and ions provide electrical neutrality. In order to circumvent the Jeans swindle, Lynden-Bell considered the case of a rotating system and noted that the angular velocity plays a role similar to the magnetic field in plasma physics (Bernstein 1958). He found that the system becomes unstable above a critical wavelength. For a Maxwellian distribution, this critical wavelength λc=(πGρ)1/2σ\lambda_{c}=(\frac{\pi}{G\rho})^{1/2}\sigma is equivalent to the Jeans length if we identify the r.m.s. velocity of the stars σ\sigma in one direction with the velocity of sound csc_{s} in an isothermal gas. In that case, the perturbation grows exponentially rapidly without oscillating. By contrast, for small wavelengths λ<λc\lambda<\lambda_{c}, the perturbation is damped exponentially. This is similar to the Landau damping in plasma physics that is derived in the complete absence of collisions.

Sweet (1963) considered the gravitational instability of a system of gas and stars in relative motion and provided a detailed analysis of the dispersion relation in different cases. He considered in particular the situation where the gas is at rest (U=0U=0) and the star system is made of two identical interpenetrating streams with Maxwellian distribution moving in opposite direction with equal velocity ±va\pm v_{a}. This corresponds to the Kapteyn-Eddington two-stream representation in the solar neighborhood. He mentioned that the two humps could be asymmetric but he did not study the consequence of this asymmetry in detail. One important conclusion of his work is that the critical Jeans wavelength is reduced by the relative motion of the gas and stars and that it vanishes when the relative velocity vav_{a} exceeds a limit of the order of the effective velocity of sound csc_{s} in the gas. In particular, the star streaming in the solar neighborhood can cause the gas to be unstable at all wavelengths. A similar conclusion was reached by Talwar & Kalra (1966) who considered the contrastreaming instability of two self-gravitating gaseous streams with velocity ±U\pm U described by fluid equations. In the subsonic regime U<csU<c_{s}, they found that the critical Jeans wavelength is reduced and tends to zero as the streaming velocity UU approaches the velocity of sound csc_{s} (by contrast, in the supersonic regime U>csU>c_{s}, the critical wavelength is larger than the Jeans length without streaming). The works of Sweet (1963) and Talwar & Kalra (1966) were further developed by Ikeuchi et al. (1974) who presented various stability diagrams for two-stream stellar systems, gaseous-stellar systems, two gaseous systems and plasmas. For a purely two-stream stellar systems (without gas), they found that the critical Jeans length becomes larger due to the stabilization effect of relative velocity, contrary to the case where a gas component is present. The two-stream instability was also discussed by Araki (1987) for infinite homogeneous and uniformly rotating stellar systems.

The seminal works of Jeans (for gaseous systems) and Lynden-Bell (for stellar systems) have been continued in several directions. For example, the Jeans instability of a self-gravitating gas in the presence of a magnetic field or an overall rotation has been studied in detail by Chandrasekhar (1961). On the other hand, the gravitational stability of a disk of stars is treated in the classical paper of Toomre (1964). Other interesting contributions are reviewed by Binney & Tremaine (1987). However, this problem is largely academic because real stellar systems (like stars and galaxies) are not spatially homogeneous and are limited in space. Now, when spatial inhomogeneity is properly taken into account, the picture becomes very different. The dynamical stability of stars has been considered by various authors such as Eddington (1918), Ledoux (1945) and Chandrasekhar (1964) and different stability criteria for the Euler-Poisson system have been obtained. For example, it can be shown that polytropic stars are Euler stable if their index n3n\leq 3 while they are unstable if 3<n53<n\leq 5 (polytropic stars with n>5n>5, including isothermal stars n+n\rightarrow+\infty, have infinite mass). On the other hand, the Vlasov stability of stellar systems has been studied by Antonov (1960a), Doremus et al. (1971), Kandrup & Sygnet (1985) and others. They have shown that all stellar systems with a distribution function f=f(ϵ)f=f(\epsilon) which is a monotonically decreasing function of the energy are linearly dynamically stable with respect to the Vlasov-Poisson system. In particular, all polytropic galaxies with index in the range 3/2n53/2\leq n\leq 5 (such that the total mass is finite) are stable222The difference between the dynamical stability of gaseous stars and stellar systems, which is related to the Antonov (1960b) first law, can also be related to a notion of “ensemble inequivalence” like in thermodynamics (see Chavanis 2006a).. Very recently, it was proven rigorously by Lemou et al. (2009) that these systems are also nonlinearly dynamically stable with respect to the Vlasov-Poisson system. These results show that, when the spatial inhomogeneity of the system is properly accounted for, the Jeans instability is suppressed333A form of Jeans instability is recovered for spatially inhomogeneous isothermal (n=n=\infty) and polytropic (n>5n>5) systems confined within a box (Padmanabhan 1990, Semelin et al. 2001, Chavanis 2002a,2002b, Taruya & Sakagami 2003a)..

Recently, there was a renewed interest for this classical problem due to analogies with other physical systems. For example, the community of statistical mechanics involved in the dynamics and thermodynamics of systems with long-range interactions (Dauxois et al. 2002) has studied a toy model called the Hamiltonian Mean Field (HMF) model which presents many features similar to self-gravitating systems444In fact, this model is directly inspired by astrophysics. It was introduced by Pichon (1994) as a simplified model to describe the formation of bars in disk galaxies (see a detailed historic in Chavanis et al. (2005)).. In particular, this model presents an instability below a critical temperature that is similar to the Jeans instability in astrophysics. Interestingly, a spatially homogeneous phase exists for this model at any temperature (it is stable for T>TcT>T_{c} and unstable for T<TcT<T_{c}). Therefore, there is no mathematical inconsistency (i.e. no “Jeans swindle”) when we perform the stability analysis of the homogeneous phase of this system (Inagaki & Konishi 1993, Choi & Choi 2003, Yamaguchi et al. 2004, Chavanis & Delfini 2009). On the other hand, in biology, several researchers in physics and applied mathematics have studied the phenomenon of chemotaxis using the Keller-Segel (1970) model in order to explain the self-organization of bacterial colonies, cells or even social insects. Recently, it was shown that the chemotactic instability in biology bears some deep analogies with the Jeans instability in astrophysics (Chavanis 2006b)555Curiously, Keller & Segel (1970) did not point out this analogy and interpreted instead the chemotactic instability in relation to Bénard convection.. Interestingly, in the biological problem, there is no “Jeans swindle” because the Poisson equation is replaced by a more complex reaction-diffusion equation that allows for the existence of infinite and homogeneous distributions.

These analogies were a source of motivation to study anew the classical Jeans problem in astrophysics (for the Euler-Poisson and Vlasov-Poisson systems). In fact, we discovered that the study of this classical problem was still incomplete. For example, the case of (spatially homogeneous) polytropic distribution functions has not been investigated in detail and the case of a symmetric double-humped distribution considered by Ikeuchi et al. (1974) needs further discussion. On the other hand, the stability of an asymmetric double-humped distribution has never been considered in the astrophysical literature (although the interest of such distributions was mentioned early by Sweet (1963)) and could form an interesting theoretical problem. The stability criteria for homogeneous stellar systems can be established very easily with the powerful Nyquist method (Nyquist 1932) used in plasma physics. This method can be readily applied to homogeneous self-gravitating systems. However, since the gravitational interaction is attractive while the electric interaction is repulsive, a crucial sign changes in the dispersion relation and the problem must be reconsidered. In particular, this change of sign is the reason for the Jeans instability in astrophysics and the Nyquist method gives a nice graphical illustration of this instability. This method does not seem to be well-known by astrophysicists and is not exposed in classical monographs666As mentioned by the referee, an early application of the Nyquist method was made by Lynden-Bell (1967) in a not very easily accessible paper. Nyquist’s method has also been used by Weinberg (1991) to study the stability of spherical stellar systems. We are not aware of other references.. Although it essentially has an academic interest since real stellar systems are not spatially homogeneous777In fact, the Nyquist method can be generalized to apply to spatially inhomogeneous self-gravitating systems (see Weinberg 1991)., we think that it deserves a detailed pedagogical exposition. We thus propose an exhaustive study of the linear dynamical stability of infinite and homogeneous gaseous (Euler) and stellar (Vlasov) systems that uses the Nyquist method and completes previous works on that problem.

The paper is organized as follows. In Sec. 2, we consider a self-gravitating barotropic gas described by the Euler-Poisson system. We recall the classical Jeans instability criterion and, for future comparison, consider explicitly the case of isothermal and polytropic equations of state. In Sec. 3, we consider a collisionless stellar system described by the Vlasov-Poisson system. Using the Nyquist method, we derive the Jeans instability criterion for an infinite and homogeneous distribution. We show that, for any single humped distribution function of the form f=f(v2)f=f(v^{2}) with f(v2)<0f^{\prime}(v^{2})<0, the Jeans instability criterion for a stellar system is equivalent to the Jeans instability criterion for the corresponding barotropic gas with the same equation of state. Of course, the dispersion relation and the evolution of the perturbation is different in the two systems (gas and stellar system) but the threshold of the instability is the same. This generalizes the result obtained by Lynden-Bell (1962) for the Maxwellian distribution. In Secs. 4 and 5, we specifically consider the case of isothermal and polytropic distribution functions and derive analytical expressions for the growth rate and damping rate of the perturbation by adapting methods of plasma physics to the gravitational context. In Sec. 6, we consider a symmetric double-humped distribution made of two counter-streaming Maxwellians with velocities ±va\pm v_{a} and establish the stability diagram. In Sec. 7, we generalize our results to the case of an asymmetric double-humped distribution. We find that: (i) The system is stable for λ<(λc)\lambda<(\lambda_{c})_{*} and unstable for λ>(λc)\lambda>(\lambda_{c})_{*} where the critical wavelength (λc)(\lambda_{c})_{*} is a non-trivial function of the relative velocity vav_{a} and asymmetry parameter Δ\Delta. (ii) The critical wavelength (λc)(\lambda_{c})_{*} is always larger than the critical wavelength in the absence of streaming (va=0v_{a}=0) so that the instability is delayed. (iii) The phase velocity of the unstable mode corresponds to the global maximum of the distribution function. In Sec. 8, we consider the case of plasmas. We recall the well-known fact that single-humped distributions are always stable. Then, we consider the case of symmetric and asymmetric double-humped distributions. For an asymmetry parameter Δ<Δ=3.3105\Delta<\Delta_{*}=3.3105: (i) the system is stable for va2<yc(Δ)Tv_{a}^{2}<y_{c}(\Delta)T where yc(Δ)y_{c}(\Delta) depends on the asymmetry (yc=1.708y_{c}=1.708 for a symmetric distribution); (ii) for va2>yc(Δ)Tv_{a}^{2}>y_{c}(\Delta)T, the system is stable for λ<(λc)\lambda<(\lambda_{c})_{*} and unstable for λ>(λc)\lambda>(\lambda_{c})_{*} where (λc)(\lambda_{c})_{*} depends on the relative velocity vav_{a} and on the asymmetry parameter Δ\Delta. For an asymmetry parameter Δ>Δ=3.3105\Delta>\Delta_{*}=3.3105: (i) the system is stable for va2<y(Δ)Tv_{a}^{2}<y_{*}(\Delta)T where y(Δ)y_{*}(\Delta) depends on the asymmetry; (ii) for y(Δ)T<va2<yc(Δ)Ty_{*}(\Delta)T<v_{a}^{2}<y_{c}(\Delta)T, the system is stable for λ<(λc)1\lambda<(\lambda_{c})_{1}, unstable for (λc)1<λ<(λc)2(\lambda_{c})_{1}<\lambda<(\lambda_{c})_{2} and stable for λ>(λc)2\lambda>(\lambda_{c})_{2} where (λc)1(\lambda_{c})_{1} and (λc)2(\lambda_{c})_{2} depend on the relative velocity vav_{a} and on the asymmetry parameter Δ\Delta; (iii) for va2>yc(Δ)Tv_{a}^{2}>y_{c}(\Delta)T, the system is stable for λ<(λc)1\lambda<(\lambda_{c})_{1} and unstable for λ<(λc)1\lambda<(\lambda_{c})_{1}. Throughout the paper, we also compare our results obtained for stellar systems (Vlasov) to those obtained for gaseous systems (Euler).

2 Self-gravitating barotropic gas

2.1 The Euler-Poisson system

We consider a self-gravitating gas described by the Euler-Poisson system

ρt+(ρ𝐮)=0,{\partial\rho\over\partial t}+\nabla\cdot(\rho{\bf u})=0, (1)
𝐮t+(𝐮)𝐮=1ρpΦ,{\partial{\bf u}\over\partial t}+({\bf u}\cdot\nabla){\bf u}=-{1\over\rho}\nabla p-\nabla\Phi, (2)
ΔΦ=4πGρ.\Delta\Phi=4\pi G\rho. (3)

These are the usual equations used to study the dynamical stability of a gaseous medium like a molecular cloud or a star. We assume that the gas is a perfect gas in local thermodynamic equilibrium (L.T.E). Therefore, at each point, the distribution function of the particles (atoms or molecules) is of the form

f(𝐫,𝐯,t)=[12πT(𝐫,t)]3/2ρ(𝐫,t)e[𝐯𝐮(𝐫,t)]22T(𝐫,t).f({\bf r},{\bf v},t)=\biggl{[}{1\over 2\pi T({\bf r},t)}\biggr{]}^{3/2}\rho({\bf r},t)e^{-{[{\bf v}-{\bf u}({\bf r},t)]^{2}\over 2T({\bf r},t)}}. (4)

Note that the kinetic temperature T(𝐫,t)=13w2T({\bf r},t)=\frac{1}{3}\langle w^{2}\rangle where 𝐰=𝐯𝐮(𝐫,t){\bf w}={\bf v}-{\bf u}({\bf r},t) is the relative velocity888Throughout this paper, by an abuse of language, we shall define the kinetic temperature by T(𝐫,t)1d(𝐯𝐮(𝐫,t))2T({\bf r},t)\equiv\frac{1}{d}\langle({\bf v}-{\bf u}({\bf r},t))^{2}\rangle where dd is the dimension of space. Therefore, the kinetic temperature is a measure of the local velocity dispersion of the particles in one dimension. It is related to the real kinetic temperature by T(𝐫,t)=kBTreal(𝐫,t)/mT({\bf r},t)=k_{B}T_{real}({\bf r},t)/m. We do that in order to extend this definition to the case of collisionless stellar systems described by the Vlasov equation where the individual mass of the stars does not appear.. Introducing the pressure p=13fw2𝑑𝐯p={1\over 3}\int fw^{2}d{\bf v}, we find that the local equation of state is

p(𝐫,t)=ρ(𝐫,t)T(𝐫,t).p({\bf r},t)=\rho({\bf r},t)T({\bf r},t). (5)

The system of equations (1)-(3) is not closed since it must be supplemented by an equation for the energy or, equivalently, for the temperature T(𝐫,t)T({\bf r},t). Here, we shall restrict ourselves to the case of a barotropic gas for which the pressure depends only on the density

p(𝐫,t)=p[ρ(𝐫,t)].p({\bf r},t)=p[\rho({\bf r},t)]. (6)

The local velocity of sound is

cs2(𝐫,t)=p(ρ(𝐫,t)).c_{s}^{2}({\bf r},t)=p^{\prime}(\rho({\bf r},t)). (7)

A steady state of the Euler-Poisson system satisfies 𝐮=𝟎{\bf u}={\bf 0} and the condition of hydrostatic equilibrium

p+ρΦ=𝟎.\nabla p+\rho\nabla\Phi={\bf 0}. (8)

Combining the condition of hydrostatic equilibrium (8) and the equation of state p=p(ρ)p=p(\rho), we find that the density is a function ρ=ρ(Φ)\rho=\rho(\Phi) of the gravitational potential given by

ρp(ρ)ρ𝑑ρ=Φ.\displaystyle\int^{\rho}{p^{\prime}(\rho^{\prime})\over\rho^{\prime}}d\rho^{\prime}=-\Phi. (9)

We note that p(ρ)=ρ/ρ(Φ)p^{\prime}(\rho)=-\rho/\rho^{\prime}(\Phi). Since p(ρ)=cs20p^{\prime}(\rho)=c_{s}^{2}\geq 0, we find that ρ(Φ)0\rho^{\prime}(\Phi)\leq 0. The density is a monotonically decreasing function of the gravitational potential. The total energy of the star is

𝒲[ρ,𝐮]=ρ0ρp(ρ)ρ2𝑑ρ𝑑𝐫+12ρΦ𝑑𝐫+ρ𝐮22𝑑𝐫,\displaystyle{\cal W}[\rho,{\bf u}]=\int\rho\int_{0}^{\rho}{p(\rho^{\prime})\over\rho^{{}^{\prime}2}}d\rho^{\prime}d{\bf r}+{1\over 2}\int\rho\Phi d{\bf r}+\int\rho{{\bf u}^{2}\over 2}d{\bf r},
(10)

including the internal energy, the potential energy and the kinetic energy of the mean motion. The mass M[ρ]M[\rho] and the energy 𝒲[ρ,𝐮]{\cal W}[\rho,{\bf u}] are conserved by the barotropic Euler-Poisson system: M˙=𝒲˙=0\dot{M}=\dot{\cal W}=0. Therefore, a minimum of the energy functional at fixed mass determines a steady state of the barotropic Euler-Poisson system that is nonlinearly dynamically stable. Here, we have stability in the sense of Lyapunov. This means that the size of the perturbation is bounded by the size of the initial perturbation for all times. We are led therefore to considering the minimization problem

minρ,𝐮{𝒲[ρ]|M[ρ]=M}.\min_{\rho,{\bf u}}\ \left\{{\cal W}[\rho]\quad|\quad M[\rho]=M\right\}. (11)

The critical points of energy at fixed mass are determined by the Euler-Lagrange equation δ𝒲μδM=0\delta{\cal W}-\mu\delta M=0 where μ\mu is a Lagrange multiplier. This yields the condition of hydrostatic equilibrium (8). Then, a critical point of energy at fixed mass is a (local) energy minimum iff

δ2𝒲=p(ρ)2ρ(δρ)2𝑑𝐫+12δρδΦ𝑑𝐫0\delta^{2}{\cal W}=\int\frac{p^{\prime}(\rho)}{2\rho}(\delta\rho)^{2}\,d{\bf r}+\frac{1}{2}\int\delta\rho\delta\Phi\,d{\bf r}\geq 0 (12)

for all perturbations δρ\delta\rho that conserve mass: δM=0\delta M=0.

2.2 The Jeans instability criterion

We consider the linear dynamical stability of an infinite homogeneous gaseous medium described by the hydrodynamic equations (1), (2), (3) and (6). This is the classical Jeans (1902,1929) problem. Linearizing Eqs. (1)-(3) around a solution ρ=Φ=const.\rho=\Phi={\rm const.} and 𝐮=𝟎{\bf u}={\bf 0}, making the Jeans swindle and decomposing the perturbations in normal modes of the form ei(𝐤𝐫ωt)e^{i({\bf k}\cdot{\bf r}-\omega t)}, we obtain the classical dispersion relation (Binney & Tremaine 1987):

ω2=cs2k24πGρ,\displaystyle\omega^{2}=c_{s}^{2}k^{2}-4\pi G\rho, (13)

where cs2=dp/dρc_{s}^{2}=dp/d\rho is the velocity of sound. Since ω2\omega^{2} is real, the complex pulsation ω\omega is either real or purely imaginary. The condition ω=0\omega=0 determines a critical wavenumber

kc2=4πGρcs2,\displaystyle k_{c}^{2}=\frac{4\pi G\rho}{c_{s}^{2}}, (14)

called the Jeans wavenumber for a barotropic gas. The dispersion relation can be rewritten

ω24πGρ=k2kc21.\displaystyle\frac{\omega^{2}}{4\pi G\rho}=\frac{k^{2}}{k_{c}^{2}}-1. (15)

For k>kck>k_{c}, we have ω=ωr=±ω2\omega=\omega_{r}=\pm\sqrt{\omega^{2}} so that the perturbation oscillates like eiωrte^{-i\omega_{r}t} with a pulsation

ωr=±cs2k24πGρ,\displaystyle\omega_{r}=\pm\sqrt{c_{s}^{2}k^{2}-4\pi G\rho}, (16)

without attenuation. This corresponds to gravity-modified sound waves. In that case the system is stable. For k<kck<k_{c}, we have ω=ωi=±iω2\omega=\omega_{i}=\pm i\sqrt{-\omega^{2}} so that the perturbation grows like eωite^{\omega_{i}t} with a growth rate

ωi=4πGρcs2k2,\displaystyle\omega_{i}=\sqrt{4\pi G\rho-c_{s}^{2}k^{2}}, (17)

without oscillation (the second mode is attenuated exponentially rapidly so that the growing mode dominates). In that case, the system is unstable. This is the so-called Jeans instability. The growth rate is maximum for k=0k=0 and its value is ωi(k=0)=4πGρ\omega_{i}(k=0)=\sqrt{4\pi G\rho}.

In conclusion, a perturbation with wavenumber kk is stable if

k>kc=4πGρcs,\displaystyle k>k_{c}=\frac{\sqrt{4\pi G\rho}}{c_{s}}, (18)

and unstable otherwise. These results are valid for an arbitrary barotropic equation of state p=p(ρ)p=p(\rho). We now specialize on particular cases, namely isothermal and polytropic equations of state.

2.3 Isothermal equation of state

We first consider an isothermal equation of state

p(𝐫,t)=ρ(𝐫,t)T,p({\bf r},t)=\rho({\bf r},t)T, (19)

where the temperature T(𝐫,t)=TT({\bf r},t)=T is a uniform. At hydrostatic equilibrium, according to Eq. (9), the relation between the density and the gravitational potential is given by the Boltzmann law

ρ=AeΦT,\rho=A^{\prime}e^{-{\Phi\over T}}, (20)

where AA^{\prime} is a constant. The energy functional (10) reads

𝒲[ρ,𝐮]=kBTρlnρd𝐫+12ρΦ𝑑𝐫+ρ𝐮22𝑑𝐫,\displaystyle{\cal W}[\rho,{\bf u}]=k_{B}T\int{\rho}\ln{\rho}d{\bf r}+{1\over 2}\int\rho\Phi d{\bf r}+\int\rho{{\bf u}^{2}\over 2}d{\bf r},
(21)

and it can be viewed as a Boltzmann free energy F=ETSF=E-TS where EE is the macroscopic energy and SS the Boltzmann entropy. The velocity of sound (7) is uniform:

cs2=T.c_{s}^{2}=T. (22)

Finally, for an infinite homogeneous isothermal gas, the Jeans instability criterion takes the classical form

k2<kc2=4πGρT.\displaystyle k^{2}<k^{2}_{c}=\frac{4\pi G\rho}{T}. (23)

2.4 Polytropic equation of state

The equation of state of a polytropic gas999The polytropic equation of state corresponds to an adiabatic transformation for which the specific entropy s(𝐫,t)=ss({\bf r},t)=s is uniform. In that case, γ=cp/cv\gamma=c_{p}/c_{v} is the ratio of specific heats at constant pressure and constant volume. For a monoatomic gas γ=5/3\gamma=5/3. This law describes convective regions of stellar interior. An approximate polytropic equation of state with index γ3.25\gamma\simeq 3.25 also holds in the radiative region of a star. Finally, classical white dwarf stars are described by a polytropic equation of state with index γ=5/3\gamma=5/3 (n=3/2n=3/2). This equation of state is valid for a completely degenerate gas of electrons described by the Fermi-Dirac statistics at T=0T=0 (Chandrasekhar 1942). is

p(𝐫,t)=Kρ(𝐫,t)γ,p({\bf r},t)=K\rho({\bf r},t)^{\gamma}, (24)

where KK is a constant. The polytropic index nn is defined by γ=1+1/n\gamma=1+1/n. For n+n\rightarrow+\infty, we recover the isothermal case with γ=1\gamma=1. At hydrostatic equilibrium, according to Eq. (9), the relation between the density and the gravitational potential can be written

ρ=[λγ1KγΦ]1γ1,\displaystyle\rho=\biggl{[}\lambda-{\gamma-1\over K\gamma}\Phi\biggr{]}^{1\over\gamma-1}, (25)

where λ\lambda is a constant. The energy functional (10) can be put in the form

𝒲[ρ,𝐮]=Kγ1(ργρ)𝑑𝐫+12ρΦ𝑑𝐫+ρ𝐮22𝑑𝐫.\displaystyle{\cal W}[\rho,{\bf u}]={K\over\gamma-1}\int(\rho^{\gamma}-\rho)d{\bf r}+{1\over 2}\int\rho\Phi d{\bf r}+\int\rho{{\bf u}^{2}\over 2}d{\bf r}.
(26)

In the limit γ1\gamma\rightarrow 1, we recover the results (20) and (21) obtained for isothermal distributions. For a polytropic gas, the local temperature T(𝐫,t)T({\bf r},t) given by Eq. (5) reads

T(𝐫,t)=Kρ(𝐫,t)γ1.T({\bf r},t)=K\rho({\bf r},t)^{\gamma-1}. (27)

We note that the temperature is position dependent (while the specific entropy ss is uniform) and related to the density by a power law (this is the local version of the usual isentropic law TVγ1=const.TV^{\gamma-1}={\rm const.} in thermodynamics). The polytropic index nn is related to the gradients of temperature and density according to

lnT=1nlnρ.{\nabla\ln T}={1\over n}\nabla\ln\rho. (28)

Combining Eqs. (25) and (27), we note that, for a polytropic gas at equilibrium, the relation between the kinetic temperature and the gravitational potential is linear so that

T=γ1γΦ.\nabla T=-\frac{\gamma-1}{\gamma}\nabla\Phi. (29)

The coefficient of proportionality is related to the adiabatic index γ\gamma. The velocity of sound (7) can be expressed as

cs(𝐫,t)2=γT(𝐫,t),c_{s}({\bf r},t)^{2}=\gamma T({\bf r},t), (30)

and it is usually position dependent. However, when we consider an infinite and homogeneous distribution (making the Jeans swindle), the velocity of sound and the temperature are uniform. In that case, we can speak of “the temperature TT of the polytropic gas” and write the Jeans instability criterion as

k2<kc2=4πGργT.\displaystyle k^{2}<k^{2}_{c}=\frac{4\pi G\rho}{\gamma T}. (31)

We thus find that the critical Jeans wavenumber kc(poly)k_{c}^{(poly)} of a polytropic gas is related to the critical Jeans wavenumber kc(iso)k_{c}^{(iso)} of an isothermal gas with the same temperature TT by

kc(poly)=1γkc(iso),\displaystyle k_{c}^{(poly)}=\frac{1}{\sqrt{\gamma}}k_{c}^{(iso)}, (32)

where the proportionality factor is the polytropic index γ\gamma. The positivity of cs2=dp/dρc_{s}^{2}=dp/d\rho implies that γ0\gamma\geq 0, i.e. n0n\geq 0 or n1n\leq-1 (for 1<n<0-1<n<0, the gas is always unstable, even in the absence of gravity, since ω2<0\omega^{2}<0). For γ=0\gamma=0 (n=1n=-1), the gas is unstable to all wavelengths since kc(poly)=+k_{c}^{(poly)}=+\infty. For 0<γ<10<\gamma<1 (n<1n<-1), kc(poly)>kc(iso)k_{c}^{(poly)}>k_{c}^{(iso)}. For γ=1\gamma=1 (n=n=\infty), kc(poly)=kc(iso)k_{c}^{(poly)}=k_{c}^{(iso)} (isothermal case). For γ>1\gamma>1 (n>0n>0), kc(poly)<kc(iso)k_{c}^{(poly)}<k_{c}^{(iso)}. For γ=+\gamma=+\infty (n=0n=0), the gas is stable to all wavelengths since kc(poly)=0k_{c}^{(poly)}=0 (solid medium). For an isentropic gas for which γ=cp/cv\gamma=c_{p}/c_{v}, the Mayer relation cpcv=kBc_{p}-c_{v}=k_{B} implies that γ>1\gamma>1 (n>0n>0). Therefore, for an isentropic gas, the gravitational instability is always delayed (i.e., it occurs for larger wavelengths) with respect to an isothermal gas with the same temperature.

3 Collisionless stellar systems

3.1 The Vlasov-Poisson system

We consider a self-gravitating system described by the Vlasov-Poisson system

ft+𝐯f𝐫+𝐅f𝐯=0,{\partial f\over\partial t}+{\bf v}\cdot{\partial f\over\partial{\bf r}}+{\bf F}\cdot{\partial f\over\partial{\bf v}}=0, (33)
ΔΦ=4πGf𝑑𝐯,\Delta\Phi=4\pi G\int fd{\bf v}, (34)

where 𝐅=Φ{\bf F}=-\nabla\Phi is the self-consistent gravitational field produced by the particles. The Vlasov description assumes that the evolution of the system is encounterless. This is a very good approximation for most astrophysical systems like galaxies and dark matter because the relaxation time due to close encounters is in general larger than the age of the universe by several orders of magnitude (Binney & Tremaine 1987). The Vlasov equation admits an infinite number of stationary solutions given by the Jeans theorem (Jeans 1915). For example, distribution functions of the form f=f(ϵ)f=f(\epsilon) which depend only on the individual energy ϵ=v2/2+Φ(𝐫)\epsilon={v^{2}}/{2}+\Phi({\bf r}) of the stars are particular steady states of the Vlasov equation. They describe spherical stellar systems.

The Vlasov equation conserves the mass M[f]=f𝑑𝐫𝑑𝐯M[f]=\int f\,d{\bf r}d{\bf v}, the energy E[f]=12fv2𝑑𝐫𝑑𝐯+12ρΦ𝑑𝐫E[f]=\frac{1}{2}\int fv^{2}\,d{\bf r}d{\bf v}+\frac{1}{2}\int\rho\Phi\,d{\bf r} and the Casimirs Ih=h(f)𝑑𝐫𝑑𝐯I_{h}=\int h(f)\,d{\bf r}d{\bf v} for any continuous function hh. Let us introduce the functionals

S=C(f)𝑑𝐫𝑑𝐯,S=-\int C(f)\,d{\bf r}d{\bf v}, (35)

where CC is a convex function (C′′>0C^{\prime\prime}>0). These particular Casimirs will be called “pseudo entropies”101010The functionals H=C(f¯)𝑑𝐫𝑑𝐯H=-\int C(\bar{f})\,d{\bf r}d{\bf v} defined in terms of the coarse-grained distribution f¯\bar{f} are called generalized HH-functions (Tremaine et al. 1986)..

The two constraints problem: since the Vlasov equation conserves MM, EE and SS, the maximization problem

maxf{S[f]|E[f]=E,M[f]=M},\max_{f}\ \left\{S[f]\quad|\quad E[f]=E,\quad M[f]=M\right\}, (36)

determines a steady state of the Vlasov-Poisson system that is nonlinearly dynamically stable. The critical points of pseudo entropy at fixed mass and energy are determined by the variational principle δSβδEαδM=0\delta S-\beta\delta E-\alpha\delta M=0, where β\beta (pseudo inverse temperature) and α\alpha (pseudo chemical potential) are Lagrange multipliers. This yields C(f)=βϵαC^{\prime}(f)=-\beta\epsilon-\alpha. Since CC is convex, this relation can be reversed to give f=F(βϵ+α)f=F(\beta\epsilon+\alpha) where F=(C)1(x)F=(C^{\prime})^{-1}(-x). We have f(ϵ)=β/C′′(f)f^{\prime}(\epsilon)=-\beta/C^{\prime\prime}(f). Therefore, if β>0\beta>0, the critical points of pseudo entropy at fixed mass and energy determine distributions of the form f=f(ϵ)f=f(\epsilon) with f(ϵ)<0f^{\prime}(\epsilon)<0: the distribution function is a monotonically decreasing function of the energy111111More generally, the solutions of (36) are of the form f=f(ϵ)f=f(\epsilon) where ff is monotonic, decreasing at positive temperatures and increasing at negative temperatures. For realistic stellar systems, the DF should decrease close to the escape energy ϵ=0\epsilon=0. Therefore, for the class of distributions considered, ff must decrease everywhere implying β>0\beta>0.. Then, a critical point of pseudo entropy at fixed mass and energy is a (local) maximum iff

δ2S=12C′′(f)(δf)2𝑑𝐫𝑑𝐯12βδρδΦ𝑑𝐫<0,\delta^{2}{S}=-\frac{1}{2}\int C^{\prime\prime}(f)(\delta f)^{2}\,d{\bf r}d{\bf v}-\frac{1}{2}\beta\int\delta\rho\delta\Phi\,d{\bf r}<0, (37)

for all perturbations δf\delta f that conserve mass and energy at first order: δM=δE=0\delta M=\delta E=0.

The one constraint problem: the minimization problem

minf{F[f]=E[f]TS[f]|M[f]=M},\min_{f}\ \left\{F[f]=E[f]-TS[f]\quad|\quad M[f]=M\right\}, (38)

where T=1/β>0T=1/\beta>0 is prescribed, determines a steady state of the Vlasov-Poisson system that is nonlinearly dynamically stable. The functional F[f]F[f] is a pseudo free energy. The critical points of pseudo free energy at fixed mass are determined by the variational principle δF+αTδM=0\delta F+\alpha T\delta M=0, where α\alpha (pseudo chemical potential) is a Lagrange multiplier. This yields C(f)=βϵαC^{\prime}(f)=-\beta\epsilon-\alpha. Then, a critical point of pseudo free energy at fixed mass is a (local) minimum iff

δ2F=12TC′′(f)(δf)2𝑑𝐫𝑑𝐯+12δρδΦ𝑑𝐫>0,\delta^{2}{F}=\frac{1}{2}T\int C^{\prime\prime}(f)(\delta f)^{2}\,d{\bf r}d{\bf v}+\frac{1}{2}\int\delta\rho\delta\Phi\,d{\bf r}>0, (39)

for all perturbations δf\delta f that conserve mass: δM=0\delta M=0.

The no constraint problem: the maximization problem

maxf{G[f]=S[f]βE[f]αM[f]},\max_{f}\ \left\{G[f]=S[f]-\beta E[f]-\alpha M[f]\right\}, (40)

where β\beta and α\alpha are prescribed, determines a steady state of the Vlasov-Poisson system that is nonlinearly dynamically stable. The functional G[f]G[f] is a pseudo grand potential. The critical points of pseudo grand potential GG, satisfying δG=0\delta G=0, are given by C(f)=βϵαC^{\prime}(f)=-\beta\epsilon-\alpha. Then, a critical point of pseudo grand potential is a (local) maximum iff

δ2G=12C′′(f)(δf)2𝑑𝐫𝑑𝐯12βδρδΦ𝑑𝐫<0,\delta^{2}{G}=-\frac{1}{2}\int C^{\prime\prime}(f)(\delta f)^{2}\,d{\bf r}d{\bf v}-\frac{1}{2}\beta\int\delta\rho\delta\Phi\,d{\bf r}<0, (41)

for all perturbations δf\delta f.

The optimization problems (36), (38) and (40) have the same critical points (canceling the first order variations). Furthermore, a solution of (40) is always a solution of the more constrained dual problem (38). Indeed, if inequality (41) is true for all perturbations, it is true a fortiori for all perturbations that conserve mass. Similarly, a solution of (38) is always a solution of the more constrained dual problem (36). Indeed, if inequality (39) is true for all perturbations that conserve mass, it is true a fortiori for all perturbations that conserve mass and energy. However, the reciprocal is wrong. A solution of (38) is not necessarily a solution of (40), and a solution of (36) is not necessarily a solution of (38). This is similar to the notion of ensemble inequivalence in thermodynamics (Ellis et al. 2000, Bouchet & Barré 2005, Chavanis 2006a). Indeed, the two constraints problem (36) is similar to a condition of microcanonical stability, the one constraint problem (38) is similar to a condition of canonical stability, and the no constraint problem (40) is similar to a condition of grand canonical stability. The implication (40)(38)(36)(\ref{erica1})\Rightarrow(\ref{vh4})\Rightarrow(\ref{vh3}) is similar to the fact that grand canonical stability implies canonical stability which itself implies microcanonical stability (but not the converse) in thermodynamics. Therefore, (40) provides just a sufficient condition of nonlinear dynamical stability that is less refined than (38), and (38) provides just a sufficient condition of nonlinear dynamical stability that is less refined than (36).

The most refined problem: the minimization problem

minf{E[f]|alltheCasimirsIh},\min_{f}\ \left\{E[f]\quad|{\rm\ all\ the\ Casimirs\ }I_{h}\right\}, (42)

determines a steady state of the Vlasov-Poisson system that is nonlinearly dynamically stable. A distribution function is a critical point of energy for symplectic perturbations (i.e. perturbations that conserve all the Casimirs) iff f(𝐫,𝐯)f({\bf r},{\bf v}) is a steady state of the Vlasov equation (Bartholomew 1971, Kandrup 1991). Furthermore, if we consider spherical stellar systems for which f=f(ϵ)f=f(\epsilon), it can be shown (Bartholomew 1971, Kandrup 1991) that a critical point of energy for symplectic perturbations is a (local) minimum iff

δ2E=12(δf)2f(ϵ)𝑑𝐫𝑑𝐯+12δρδΦ𝑑𝐫>0,\delta^{2}{E}=-\frac{1}{2}\int\frac{(\delta f)^{2}}{f^{\prime}(\epsilon)}\,d{\bf r}d{\bf v}+\frac{1}{2}\int\delta\rho\delta\Phi\,d{\bf r}>0, (43)

for all perturbations δf\delta f that conserve energy and all the Casimirs at first order: δE=δIh=0\delta E=\delta I_{h}=0. Such symplectic (physically accessible) perturbations are of the form δf=Dδg\delta f=D\delta g where D=𝐯𝐫Φ𝐯D={\bf v}\cdot\nabla_{\bf r}-\nabla\Phi\cdot\nabla_{\bf v} is the advective operator in phase space and δg(𝐫,𝐯)\delta g({\bf r},{\bf v}) is any perturbation. Inequality (43) corresponds to the Antonov (1960) criterion of dynamical stability that was obtained by investigating the linear dynamical stability of a steady state of the Vlasov equation. Since this is the most constrained criterion, this is the most refined one. We note that inequality (43) is equivalent to inequalities (37), (39) and (41) if we use the identity f(ϵ)=β/C′′(f)f^{\prime}(\epsilon)=-\beta/C^{\prime\prime}(f) derived above. However, the classes of perturbations to consider are different: in (41), we must consider all perturbations, in (39) we must consider perturbations that conserve mass, in (37) we must consider perturbations that conserve mass and energy, and in (43) we must consider perturbations that conserve energy and all the Casimirs. Therefore, we have the implications (40)(38)(36)(42)(\ref{erica1})\Rightarrow(\ref{vh4})\Rightarrow(\ref{vh3})\Rightarrow(\ref{erica3}). The connection between (42) and the preceding optimization problems can be understood as follows. The minimization problem (42), conserving all the Casimirs, is clearly more refined than the minimization problem

minf{E[f]|M[f]=M,S[f]=S},\min_{f}\ \left\{E[f]\quad|\quad M[f]=M,\quad S[f]=S\right\}, (44)

where only the mass and one Casimir of the form (35) is conserved. Now, it is easy to show that the minimization problem (44) is equivalent to the maximization problem (36). Hence, we have the chain of relations

(40)(38)(36)(44)(42).(\ref{erica1})\Rightarrow(\ref{vh4})\Rightarrow(\ref{vh3})\Leftrightarrow(\ref{erica5})\Rightarrow(\ref{erica3}). (45)

To summarize, the minimization problem (42) is the most refined stability criterion because it tells that, in order to settle the dynamical stability of a stellar system, we just need considering symplectic (i.e. dynamically accessible) perturbations. Of course, if inequality (43) is satisfied by a larger class of perturbations, as implied by problems (40), (38), (36) and (44), the system will be stable a fortiori. Therefore, we have the implications (45). Problems (40), (38), (36) and (44) provide sufficient (but not necessary) conditions of dynamical stability. A steady state can be stable according to (38) while it does not satisfy (40), or it can be stable according to (36) and (44) while it does not satisfy (38), or it can be stable according to (42) while it does not satisfy (36) and (44). Therefore, the criterion (42) is more refined than (44) or (36), which is itself more refined than (38), which is itself more refined than (40). Let us give an astrophysical illustration of all that (Chavanis 2006a). Using (38), we can show that stellar polytropes with 3/2n33/2\leq n\leq 3 are dynamically stable because they are minima of FF at fixed mass MM. By contrast, stellar polytropes with 3<n<53<n<5 are not minima of FF at fixed mass. However, using (36), we can show that stellar polytropes with 3/2<n<53/2<n<5 are dynamically stable because they are maxima of SS at fixed mass and energy. However, not all stellar systems of the form f=f(ϵ)f=f(\epsilon) are maxima of SS at fixed mass and energy. But, using (42), we can show that all spherical galaxies f=f(ϵ)f=f(\epsilon) with f(ϵ)<0f^{\prime}(\epsilon)<0 are dynamically stable. This last statement has been shown for linear stability by Kandrup (1991). A rigorous mathematical proof has been given recently by Lemou et al. (2009) for nonlinear stability.

Remark: similar results are obtained in 2D fluid mechanics based on the Euler-Poisson system (see Chavanis 2009). Criterion (42) is equivalent to the so-called Kelvin-Arnol’d energy principle, criterion (40) is equivalent to the standard Casimir-energy method (see Holm et al. 1985) introduced by Arnol’d (1966) and criterion (36) is equivalent to the refined stability criterion given by Ellis et al. (2002).

3.2 The corresponding barotropic star

To any stellar system with f=f(ϵ)f=f(\epsilon) and f(ϵ)<0f^{\prime}(\epsilon)<0, we can associate a corresponding barotropic star with the same equilibrium density distribution (Lynden-Bell & Sanitt 1969). Indeed, defining the density and the pressure by ρ=f𝑑𝐯\rho=\int fd{\bf v} and p=13fv2𝑑𝐯p={1\over 3}\int fv^{2}d{\bf v}, we get ρ=ρ(Φ)\rho=\rho(\Phi) and p=p(Φ)p=p(\Phi). Eliminating the potential Φ\Phi between these two expressions, we find that p=p(ρ)p=p(\rho). Furthermore, taking the gradient of the pressure and using the chain of identities

p=13f𝐫v2𝑑𝐯=13Φf(ϵ)v2𝑑𝐯\displaystyle\nabla p={1\over 3}\int{\partial f\over\partial{\bf r}}v^{2}d{\bf v}={1\over 3}\nabla\Phi\int f^{\prime}(\epsilon)v^{2}d{\bf v}
=13Φf𝐯𝐯𝑑𝐯=Φf𝑑𝐯=ρΦ,\displaystyle={1\over 3}\nabla\Phi\int{\partial f\over\partial{\bf v}}\cdot{\bf v}\,d{\bf v}=-\nabla\Phi\int f\,d{\bf v}=-\rho\nabla\Phi, (46)

we obtain the condition of hydrostatic equilibrium (8). Finally, we define the kinetic temperature of an isotropic stellar system by the relation

32T(𝐫)=12v2.\displaystyle\frac{3}{2}T({\bf r})=\frac{1}{2}\langle v^{2}\rangle. (47)

Therefore, the quantity

T(𝐫)=13v2=13fv2𝑑𝐯f𝑑𝐯=p(𝐫)ρ(𝐫).\displaystyle T({\bf r})=\frac{1}{3}\langle v^{2}\rangle={{1\over 3}\int fv^{2}d{\bf v}\over\int fd{\bf v}}={p({\bf r})\over\rho({\bf r})}. (48)

measures the velocity dispersion (in one direction) of an isotropic stellar system. In general, the kinetic temperature is position dependent.

Finally, we can show that the variational principles (38)(\ref{vh4}) and (11)(\ref{ep10}) are equivalent, i.e. a stellar system is a minimum of pseudo free energy at fixed mass iff the corresponding barotropic gas is a minimum of energy at fixed mass (see Appendix A). This leads to a nonlinear version of the Antonov (1960b) first law: “a stellar system with f=f(ϵ)f=f(\epsilon) and f(ϵ)<0f^{\prime}(\epsilon)<0 is nonlinearly dynamically stable with respect to the Vlasov-Poisson system if the corresponding barotropic gas is nonlinearly dynamically stable with respect to the Euler-Poisson system”. However, the reciprocal is wrong because, as we have already indicated, (38) provides just a sufficient condition of nonlinear dynamical stability with respect to the Vlasov equation. A galaxy can be dynamically stable according to criterion (36) [or even more generally (42)] while it fails to satisfy criterion (38). Therefore, the nonlinear Antonov first law is similar to a notion of ensembles inequivalence between microcanonical and canonical ensembles in thermodynamics (Chavanis 2006a).

3.3 The dispersion relation

We shall study the linear dynamical stability of a spatially homogeneous stationary solution of the Vlasov equation described by a distribution function f=f(𝐯)f=f({\bf v}). Like for an infinite homogeneous gas, we make the Jeans swindle. Linearizing the Vlasov equation around this steady state, taking the Laplace-Fourier transform of this equation and writing the perturbations in the form ei(𝐤𝐫ωt)e^{i({\bf k}\cdot{\bf r}-\omega t)}, we obtain the classical dispersion relation (Binney & Tremaine 1987):

ϵ(𝐤,ω)1+4πGk2𝐤f𝐯𝐤𝐯ω𝑑𝐯=0,\displaystyle\epsilon({\bf k},\omega)\equiv 1+{4\pi G\over k^{2}}\int{{\bf k}\cdot{\partial f\over\partial{\bf v}}\over{\bf k}\cdot{\bf v}-\omega}d{\bf v}=0, (49)

where ϵ(𝐤,ω)\epsilon({\bf k},\omega) is similar to the “dielectric function” of plasma physics (with the sign ++ instead of -). For a given distribution f(𝐯)f({\bf v}), this equation determines the complex pulsation(s) ω=ωr+iωi\omega=\omega_{r}+i\omega_{i} of a perturbation with wavevector 𝐤{\bf k}. Since the time dependence of the perturbation is δfeiωrteωit\delta f\sim e^{-i\omega_{r}t}e^{\omega_{i}t}, the system is linearly stable if ωi<0\omega_{i}<0 and linearly unstable if ωi>0\omega_{i}>0. The condition of marginal stability corresponds to ωi=0\omega_{i}=0.

If we take the wavevector 𝐤{\bf k} along the zz-axis121212If the distribution function is isotropic, there is no restriction in making this choice., the dispersion relation becomes

ϵ(k,ω)1+4πGk2Ckfvzkvzω𝑑vx𝑑vy𝑑vz=0,\displaystyle\epsilon({k},\omega)\equiv 1+{4\pi G\over k^{2}}\int_{C}{{k}{\partial f\over\partial{v_{z}}}\over{k}{v_{z}}-\omega}d{v}_{x}d{v}_{y}d{v}_{z}=0, (50)

where the integral must be performed along the Landau contour CC (Binney & Tremaine 1987). We define

g(vz)=f𝑑vx𝑑vy.\displaystyle g(v_{z})=\int fdv_{x}dv_{y}. (51)

In the following, we shall note vv instead of vzv_{z} and ff instead of gg. With these conventions, the dispersion relation (50) can be rewritten

ϵ(k,ω)1+4πGk2Cf(v)vωk𝑑v=0.\displaystyle\epsilon({k},\omega)\equiv 1+{4\pi G\over k^{2}}\int_{C}{f^{\prime}(v)\over{v}-\frac{\omega}{k}}d{v}=0. (52)

This is the fundamental equation of the problem. For future reference, let us recall that

Cf(v)vωk𝑑v=+f(v)vωk𝑑v,(ωi>0),\displaystyle\int_{C}{{f^{\prime}(v)}\over v-\frac{\omega}{k}}dv=\int_{-\infty}^{+\infty}{{f^{\prime}(v)}\over v-\frac{\omega}{k}}dv,\quad(\omega_{i}>0), (53)
Cf(v)vωk𝑑v=P+f(v)vωk𝑑v+iπf(ωk),(ωi=0),\displaystyle\int_{C}{{f^{\prime}(v)}\over v-\frac{\omega}{k}}dv=P\int_{-\infty}^{+\infty}{{f^{\prime}(v)}\over v-\frac{\omega}{k}}dv+i\pi f^{\prime}\left(\frac{\omega}{k}\right),\quad(\omega_{i}=0),
(54)
Cf(v)vωk𝑑v=+f(v)vωk𝑑v+2πif(ωk),(ωi<0),\displaystyle\int_{C}{{f^{\prime}(v)}\over v-\frac{\omega}{k}}dv=\int_{-\infty}^{+\infty}{{f^{\prime}(v)}\over v-\frac{\omega}{k}}dv+2\pi if^{\prime}\left(\frac{\omega}{k}\right),\quad(\omega_{i}<0),
(55)

where PP denotes the principal value.

In general, the dispersion relation (52) cannot be solved explicitly to obtain ω(k)\omega(k) except in some very simple cases 131313There exists less simple cases were explicit solutions can be obtained. We should mention in this respect the extensive set of closed-form solutions for generalized Lorentzian distributions due to Summers & Thorne (1991) and Thorne & Summers (1991). They correspond to Tsallis (polytropic) distributions of the form (158) with negative index n<1n<-1.. For example, for cold systems described by the distribution function f=ρδ(vv0)f=\rho\delta({v}-{v}_{0}), we obtain after an integration by parts

ω=v0k±i4πGρ.\displaystyle\omega=v_{0}k\pm i\sqrt{4\pi G\rho}. (56)

In particular, when v0=0v_{0}=0, we get

ω=±i4πGρ.\displaystyle\omega=\pm i\sqrt{4\pi G\rho}. (57)

The system is unstable to all wavenumbers and the perturbation grows with a growth rate ωi=4πGρ\omega_{i}=\sqrt{4\pi G\rho}. We also note that the dispersion relation (57) coincides with the dispersion relation (17) of a self-gravitating gas with cs=0c_{s}=0.

3.4 The condition of marginal stability

For ωi=0\omega_{i}=0, the real and imaginary parts of the dielectric function ϵ(k,ωr)=ϵr(k,ωr)+iϵi(k,ωr)\epsilon(k,\omega_{r})=\epsilon_{r}(k,\omega_{r})+i\epsilon_{i}(k,\omega_{r}) are given by

ϵr(k,ωr)=1+4πGk2P+f(v)vωr/k𝑑v,\displaystyle\epsilon_{r}({k},\omega_{r})=1+\frac{4\pi G}{k^{2}}P\int_{-\infty}^{+\infty}{f^{\prime}(v)\over{v}-{\omega_{r}}/{k}}d{v}, (58)
ϵi(k,ωr)=4π2Gk2f(ωr/k).\displaystyle\epsilon_{i}({k},\omega_{r})=\frac{4\pi^{2}G}{k^{2}}f^{\prime}\left({\omega_{r}}/{k}\right). (59)

The condition of marginal stability corresponds to ϵ(k,ω)=0\epsilon(k,\omega)=0 and ωi=0\omega_{i}=0, i.e. ϵr(k,ωr)=ϵi(k,ωr)=0\epsilon_{r}({k},\omega_{r})=\epsilon_{i}({k},\omega_{r})=0. We obtain therefore the equations

1+4πGk2P+f(v)vωr/k𝑑v=0,\displaystyle 1+\frac{4\pi G}{k^{2}}P\int_{-\infty}^{+\infty}{f^{\prime}(v)\over{v}-{\omega_{r}}/{k}}d{v}=0, (60)
f(ωr/k)=0.\displaystyle f^{\prime}\left({\omega_{r}}/{k}\right)=0. (61)

The second condition (61) imposes that the phase velocity ωr/k=vext\omega_{r}/k=v_{ext} is equal to a velocity where f(v)f(v) is extremum (f(vext)=0f^{\prime}(v_{ext})=0). The first condition (60) then determines the wavenumber(s) kck_{c} corresponding to marginal stability. It can be written

1+4πGkc2+f(v)vvext𝑑v=0,\displaystyle 1+\frac{4\pi G}{k_{c}^{2}}\int_{-\infty}^{+\infty}{f^{\prime}(v)\over{v}-v_{ext}}d{v}=0, (62)

where the principal value is not needed anymore. The wavenumber(s) corresponding to marginal stability are therefore given by

kc=(4πG+f(v)vvext𝑑v)1/2.\displaystyle k_{c}=\left(-4\pi G\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v-v_{ext}}\,dv\right)^{1/2}. (63)

Finally, the pulsation(s) corresponding to marginal stability are ωr=vextkc\omega_{r}=v_{ext}k_{c} and we have δfeiωrt\delta f\sim e^{-i\omega_{r}t}. Note that the distribution f(v)f(v) can be relatively arbitrary. There can be pure oscillations (ω=ωr0\omega=\omega_{r}\neq 0) only if f(v)f(v) has some extrema at v0v\neq 0. If f(v)f(v) has a single maximum at v=0v=0, then ωr=0\omega_{r}=0 (implying ω=0\omega=0) and the condition of marginal stability becomes

kc=(4πG+f(v)v𝑑v)1/2.\displaystyle k_{c}=\left(-4\pi G\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv\right)^{1/2}. (64)

3.5 The Nyquist method

To determine whether the distribution f=f(v)f=f(v) is stable or unstable for a perturbation with wavenumber kk, one possibility is to solve the dispersion relation (52) and determine the sign of the imaginary part of the complex pulsation. This can be done analytically in some simple cases (see Secs. 3.8, 4 and 5). We can also apply the Nyquist method introduced in plasma physics. This is a graphical method that does not require to solve the dispersion relation. The details of the method are explained by Nicholson (1992) and we just recall how it works in practice. In the ϵ\epsilon-plane, taking ωi=0\omega_{i}=0, we plot the Nyquist curve141414This curve is also called an hodograph. (ϵr(k,ωr),ϵi(k,ωr))(\epsilon_{r}(k,\omega_{r}),\epsilon_{i}(k,\omega_{r})) parameterized by ωr\omega_{r} going from -\infty to ++\infty (for a given wavenumber kk). This curve is closed and always rotates in the counterclockwise sense. If the Nyquist curve does not encircle the origin, the system is stable (for the corresponding wavenumber kk). If the Nyquist curve encircles the origin one or more times, the system is unstable. The number NN of tours around the origin gives the number of zeros of ϵ(k,ω)\epsilon(k,\omega) in the upper half ω\omega-plane, i.e. the number of unstable modes with ωi>0\omega_{i}>0. The Nyquist method by itself does not give the growth rate of the instability.

Let us consider the asymptotic behavior of (ϵr(k,ωr),ϵi(k,ωr))(\epsilon_{r}(k,\omega_{r}),\epsilon_{i}(k,\omega_{r})) defined by Eqs. (58) and (59) for ωr±\omega_{r}\rightarrow\pm\infty. Since f(v)f(v) is positive and tends to zero for v±v\rightarrow\pm\infty, we conclude that ϵi(k,ωr)0\epsilon_{i}(k,\omega_{r})\rightarrow 0 for ωr±\omega_{r}\rightarrow\pm\infty and that ϵi(k,ωr)>0\epsilon_{i}(k,\omega_{r})>0 for ωr\omega_{r}\rightarrow-\infty while ϵi(k,ωr)<0\epsilon_{i}(k,\omega_{r})<0 for ωr+\omega_{r}\rightarrow+\infty. On the other hand, integrating by parts in Eq. (58), we obtain

ϵr(k,ωr)=1+4πGk2P+f(v)(vωr/k)2𝑑v,\displaystyle\epsilon_{r}(k,\omega_{r})=1+\frac{4\pi G}{k^{2}}{P}\int_{-\infty}^{+\infty}{{f(v)}\over(v-\omega_{r}/k)^{2}}dv, (65)

provided that f(v)f(v) decreases sufficiently rapidly. Therefore, for ωr±\omega_{r}\rightarrow\pm\infty, we obtain at leading order

ϵr(k,ωr)1+4πGρωr2,(ωr±).\displaystyle\epsilon_{r}(k,\omega_{r})\simeq 1+\frac{4\pi G\rho}{\omega_{r}^{2}},\qquad(\omega_{r}\rightarrow\pm\infty). (66)

In particular, ϵr(k,ωr)1+\epsilon_{r}(k,\omega_{r})\rightarrow 1^{+} for ωr±\omega_{r}\rightarrow\pm\infty. From these results, we conclude that the behavior of the Nyquist curve close to the limit point (1,0)(1,0) is like the one represented in Fig. 3. In addition, according to Eq. (59), the Nyquist curve crosses the xx-axis at each value of ωr/k\omega_{r}/k corresponding to an extremum of f(v)f(v). For ωr/k=vext\omega_{r}/k=v_{ext}, where vextv_{ext} is a velocity at which the distribution is extremum (f(vext)=0)(f^{\prime}(v_{ext})=0), the imaginary part of the dielectric function ϵi(k,kvext)=0\epsilon_{i}(k,kv_{ext})=0 and the real part of the dielectric function

ϵr(k,kvext)=1+4πGk2f(v)vvext𝑑v.\epsilon_{r}(k,kv_{ext})=1+\frac{4\pi G}{k^{2}}\int_{-\infty}^{\infty}\frac{f^{\prime}(v)}{v-v_{ext}}\,dv. (67)

Subtracting the value f(vext)=0f^{\prime}(v_{ext})=0 in the numerator of the integrand, and integrating by parts, we obtain

ϵr(k,kvext)=14πGk2f(vext)f(v)(vvext)2𝑑v.\epsilon_{r}(k,kv_{ext})=1-\frac{4\pi G}{k^{2}}\int_{-\infty}^{\infty}\frac{f(v_{ext})-f(v)}{(v-v_{ext})^{2}}\,dv. (68)

If vMaxv_{Max} denotes the velocity corresponding to the global maximum of the distribution, we clearly have

ϵr(k,kvMax)=14πGk2f(vMax)f(v)(vvMax)2𝑑v<1.\displaystyle\epsilon_{r}(k,kv_{Max})=1-\frac{4\pi G}{k^{2}}\int_{-\infty}^{\infty}\frac{f(v_{Max})-f(v)}{(v-v_{Max})^{2}}\,dv<1.
(69)

Furthermore, ϵr(k,kvMax)<0\epsilon_{r}(k,kv_{Max})<0 for sufficiently small kk. Therefore, by tuning kk appropriately, we can always make the Nyquist curve encircle the origin. We conclude that a spatially homogeneous self-gravitating system is always unstable to some wavelengths.

3.6 Single-humped distributions

Let us assume that the distribution f(v)f(v) has a single maximum at v=v0v=v_{0} (so that f(v0)=0f^{\prime}(v_{0})=0) and tends to zero for v±v\rightarrow\pm\infty. Then, the Nyquist curve cuts the xx-axis (ϵi(k,ωr)\epsilon_{i}(k,\omega_{r}) vanishes) at the limit point (1,0)(1,0) where ωr±\omega_{r}\rightarrow\pm\infty and at the point (ϵr(k,kv0),0)(\epsilon_{r}(k,kv_{0}),0) where ωr/k=v0\omega_{r}/k=v_{0}. Due to its behavior close to the limit point (1,0)(1,0), the fact that it rotates in the counterclockwise sense, and the property that ϵr(k,kv0)<1\epsilon_{r}(k,kv_{0})<1 according to Eq. (69), the Nyquist curve must necessarily behave like in Fig. 3. Therefore, the Nyquist curve starts on the real axis at ϵr(k,ωr)=1\epsilon_{r}(k,\omega_{r})=1 for ωr\omega_{r}\rightarrow-\infty, then going in counterclockwise sense it crosses the real axis at the point ϵr(k,kv0)<1\epsilon_{r}(k,kv_{0})<1 and returns on the real axis at ϵr(k,ωr)=1\epsilon_{r}(k,\omega_{r})=1 for ωr+\omega_{r}\rightarrow+\infty. According to the Nyquist criterion exposed in Sec. 3.5, we conclude that a single-humped distribution is linearly stable with respect to a perturbation with wavenumber kk if

ϵr(k,kv0)=1+4πGk2+f(v)vv0𝑑v>0,\displaystyle\epsilon_{r}(k,kv_{0})=1+\frac{4\pi G}{k^{2}}\int_{-\infty}^{+\infty}{{f^{\prime}(v)}\over v-v_{0}}dv>0, (70)

and linearly unstable if ϵr(k,kv0)<0\epsilon_{r}(k,kv_{0})<0. The equality corresponds to the marginal stability condition (62). Therefore, the system is stable iff

k>kc=(4πG+f(v)vv0𝑑v)1/2,\displaystyle k>k_{c}=\left(-4\pi G\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v-v_{0}}\,dv\right)^{1/2}, (71)

where kck_{c} is the critical Jeans wavenumber for a stellar system. Note that an infinite homogeneous stellar system whose DF has a single hump is always unstable to sufficiently small wavenumbers. For the unstable wavenumbers k<kck<k_{c}, there is only one mode of instability ωi>0\omega_{i}>0 since the Nyquist curve rotates only one time around the origin. This stability criterion is valid for any single-humped distribution. In particular, a symmetric distribution f=f(v)f=f(v) with a single maximum at v0=0v_{0}=0 is linearly dynamically stable to a perturbation with wavenumber kk iff

k>kc=(4πG+f(v)v𝑑v)1/2.\displaystyle k>k_{c}=\left(-4\pi G\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv\right)^{1/2}. (72)

We shall make the connection between the stability of an infinite homogeneous stellar system and the stability of the corresponding barotropic gas in Sec. 3.9. In particular, using identity (96), we will show that Eq. (72) is equivalent to Eq. (18).

3.7 Double-humped distributions

Let us consider a double-humped distribution with a global maximum at vMaxv_{Max}, a minimum at vminv_{min} and a local maximum at vmaxv_{max}. We assume that vMax<vmin<vmaxv_{Max}<v_{min}<v_{max}. The Nyquist curve will cut the xx-axis at the limit point (1,0)(1,0) and at three other points (ϵr(k,kvMax),0)(\epsilon_{r}(k,kv_{Max}),0), (ϵr(k,kvmin),0)(\epsilon_{r}(k,kv_{min}),0) and (ϵr(k,kvmax),0)(\epsilon_{r}(k,kv_{max}),0). We also know that the Nyquist curve can only rotate in the counterclockwise sense and that ϵr(k,kvMax)<1\epsilon_{r}(k,kv_{Max})<1 according to Eq. (69). Then, we can convince ourselves, by making drawings, of the following results. If151515In the following, in order to simplify the notations, we note ϵr(vMax)\epsilon_{r}(v_{Max}) for ϵr(k,kvMax)\epsilon_{r}(k,kv_{Max}) etc.

(+++)(+++): ϵr(vMax)>0\epsilon_{r}(v_{Max})>0, ϵr(vmin)>0\epsilon_{r}(v_{min})>0, ϵr(vmax)>0\epsilon_{r}(v_{max})>0,

(+)(+--): ϵr(vMax)>0\epsilon_{r}(v_{Max})>0, ϵr(vmin)<0\epsilon_{r}(v_{min})<0, ϵr(vmax)<0\epsilon_{r}(v_{max})<0,

(+)(--+): ϵr(vMax)<0\epsilon_{r}(v_{Max})<0, ϵr(vmin)<0\epsilon_{r}(v_{min})<0, ϵr(vmax)>0\epsilon_{r}(v_{max})>0,

(++)(+-+) : ϵr(vMax)>0\epsilon_{r}(v_{Max})>0, ϵr(vmin)<0\epsilon_{r}(v_{min})<0, ϵr(vmax)>0\epsilon_{r}(v_{max})>0,

the Nyquist curve does not encircle the origin so the system is stable. If

()(---): ϵr(vMax)<0\epsilon_{r}(v_{Max})<0, ϵr(vmin)<0\epsilon_{r}(v_{min})<0, ϵr(vmax)<0\epsilon_{r}(v_{max})<0,

(++)(-++): ϵr(vMax)<0\epsilon_{r}(v_{Max})<0, ϵr(vmin)>0\epsilon_{r}(v_{min})>0, ϵr(vmax)>0\epsilon_{r}(v_{max})>0,

(++)(++-): ϵr(vMax)>0\epsilon_{r}(v_{Max})>0, ϵr(vmin)>0\epsilon_{r}(v_{min})>0, ϵr(vmax)<0\epsilon_{r}(v_{max})<0,

the Nyquist curve rotates one time around the origin so that there is one mode of instability. Finally, if

(+)(-+-): ϵr(vMax)<0\epsilon_{r}(v_{Max})<0, ϵr(vmin)>0\epsilon_{r}(v_{min})>0, ϵr(vmax)<0\epsilon_{r}(v_{max})<0,

the Nyquist curve rotates two times around the origin so that there are two modes of instability. Cases (+++)(+++), ()(---), (++)(-++) and (+)(-+-) are observed in Sec. 7 for an asymmetric double-humped distribution made of two Maxwellians. The other cases cannot be obtained from this distribution but they may be obtained from other distributions.

If the double-humped distribution is symmetric with respect to the origin with two maxima at ±v\pm v_{*} and a minimum at v=0v=0, only three cases can arise. If

(+++)(+++): ϵr(v)>0\epsilon_{r}(v_{*})>0, ϵr(0)>0\epsilon_{r}(0)>0,

(++)(+-+): ϵr(v)>0\epsilon_{r}(v_{*})>0, ϵr(0)<0\epsilon_{r}(0)<0,

the Nyquist curve does not encircle the origin so the system is stable. If

()(---): ϵr(v)<0\epsilon_{r}(v_{*})<0, ϵr(0)<0\epsilon_{r}(0)<0,

the Nyquist curve rotates one time around the origin so that there is one mode of instability. Finally, if

(+)(-+-): ϵr(v)<0\epsilon_{r}(v_{*})<0, ϵr(0)>0\epsilon_{r}(0)>0,

the Nyquist curve rotates two times around the origin so that there are two modes of instability. Cases (+++)(+++), ()(---) and (+)(-+-) are observed in Sec. 3.1 for a symmetric double-humped distribution made of two Maxwellians.

3.8 Particular solutions of ϵ(k,ω)=0\epsilon(k,\omega)=0

We can look for a solution of the dispersion relation ϵ(k,ω)=0\epsilon(k,\omega)=0 in the form ω=iωi\omega=i\omega_{i} corresponding to ωr=0\omega_{r}=0. In that case, the perturbation grows (ωi>0\omega_{i}>0) or decays (ωi<0\omega_{i}<0) without oscillating. For ωi>0\omega_{i}>0, the equation ϵ(k,ω)=0\epsilon(k,\omega)=0 becomes

1+4πGk2+f(v)viωik𝑑v=0.\displaystyle 1+{4\pi G\over k^{2}}\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v-i\frac{\omega_{i}}{k}}\,dv=0. (73)

Multiplying the numerator by v+iωi/kv+i\omega_{i}/k and separating real and imaginary parts, we obtain

1+4πGk2+vf(v)v2+ωi2k2𝑑v=0,\displaystyle 1+{4\pi G\over k^{2}}\int_{-\infty}^{+\infty}\frac{vf^{\prime}(v)}{v^{2}+\frac{\omega_{i}^{2}}{k^{2}}}\,dv=0, (74)
+f(v)v2+ωi2k2𝑑v=0.\displaystyle\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v^{2}+\frac{\omega_{i}^{2}}{k^{2}}}\,dv=0. (75)

If we consider distribution functions f(v)f(v) that are symmetric with respect to v=0v=0, Eq. (75) is always satisfied. Then, the growth rate ωi>0\omega_{i}>0 is given by Eq. (74).

For ωi<0\omega_{i}<0, the equation ϵ(k,ω)=0\epsilon(k,\omega)=0 becomes

1+4πGk2+f(v)viωik𝑑v+i8π2Gk2f(iωik)=0.\displaystyle 1+{4\pi G\over k^{2}}\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v-i\frac{\omega_{i}}{k}}\,dv+i\frac{8\pi^{2}G}{k^{2}}f^{\prime}\left(\frac{i\omega_{i}}{k}\right)=0. (76)

Multiplying the numerator by v+iωi/kv+i\omega_{i}/k and assuming that f(v)f(v) is even, we obtain

1+4πGk2+vf(v)v2+ωi2k2𝑑v+i8π2Gk2f(iωik)=0,\displaystyle 1+{4\pi G\over k^{2}}\int_{-\infty}^{+\infty}\frac{vf^{\prime}(v)}{v^{2}+\frac{\omega_{i}^{2}}{k^{2}}}\,dv+i\frac{8\pi^{2}G}{k^{2}}f^{\prime}\left(\frac{i\omega_{i}}{k}\right)=0, (77)

which determines the damping rate ωi<0\omega_{i}<0.

Let us introduce the function K(x)K(x) defined by

K(x)=1I+vf(v)v2+x2𝑑v(x0)\displaystyle K(x)=\frac{1}{I}\int_{-\infty}^{+\infty}\frac{vf^{\prime}(v)}{v^{2}+x^{2}}\,dv\ (x\geq 0) (78)
K(x)=1I{+vf(v)v2+x2𝑑v+2πif(ix)}(x0)\displaystyle K(x)=\frac{1}{I}\left\{\int_{-\infty}^{+\infty}\frac{vf^{\prime}(v)}{v^{2}+x^{2}}\,dv+2\pi if^{\prime}(ix)\right\}\ (x\leq 0) (79)

where

I=+f(v)v𝑑v.\displaystyle I=\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv. (80)

This function is normalized such that K(0)=1K(0)=1. The dispersion relations (74) and (77) can then be written

1kc2k2K(ωik)=0,\displaystyle 1-\frac{k_{c}^{2}}{k^{2}}K\left(\frac{\omega_{i}}{k}\right)=0, (81)

where kck_{c} is the maginal wavenumber corresponding to ω=0\omega=0 given by Eq. (64). The pulsation ωi(k)\omega_{i}(k) is given by

ωikc=kkcK1(k2kc2).\displaystyle\frac{\omega_{i}}{k_{c}}=\frac{k}{k_{c}}K^{-1}\left(\frac{k^{2}}{k_{c}^{2}}\right). (82)

Setting u=ωi/ku=\omega_{i}/k, it can also be written in parametric form as

ωikc=uK(u),kkc=K(u),\displaystyle\frac{\omega_{i}}{k_{c}}=u\sqrt{K(u)},\qquad\frac{k}{k_{c}}=\sqrt{K(u)}, (83)

where uu goes from -\infty to ++\infty.

Let us obtain some asymptotic expansions of these relations (valid for symmetric distributions):

(i) Let us first consider the case ωi>0\omega_{i}>0 and k0k\rightarrow 0 corresponding to instability. Integrating Eq. (74) by parts, we obtain

14πG+f(v)(ωi2k2v2)(k2v2+ωi2)2𝑑v=0.\displaystyle 1-4\pi G\int_{-\infty}^{+\infty}\frac{f(v)(\omega_{i}^{2}-k^{2}v^{2})}{(k^{2}v^{2}+\omega_{i}^{2})^{2}}\,dv=0. (84)

Expanding the integrand in powers of kv/ωi1kv/\omega_{i}\ll 1, we find that

ωi2=4πGρ3Tk2(k0),\displaystyle\omega_{i}^{2}=4\pi G\rho-3Tk^{2}-...\qquad(k\rightarrow 0), (85)

with T=v2T=\langle v^{2}\rangle (where we recall that v=vzv=v_{z} in the present case). This expression can be compared with the corresponding expression (306) valid for a gas. This identification yields cs2=3Tc_{s}^{2}=3T so that large wavelength perturbations in a collisionless stellar system correspond to one dimensional isentropic perturbations with index γ=3\gamma=3 in a gas (see Appendix B).

(ii) The case ωi<0\omega_{i}<0 and k+k\rightarrow+\infty corresponding to stability cannot be treated at a general level because the result depends on the behavior of the distribution function for large velocities. The case of a Maxwellian distribution is specifically considered in Sec. 4.

(iii) Let us finally consider the behavior of the dispersion relation (74) or (77) close to the point of marginal stability k=kck=k_{c}. For ωi=0\omega_{i}=0, we obtain the critical wavenumber kck_{c} given by Eq. (64). Let us consider ωi0+\omega_{i}\rightarrow 0^{+} and kkck\rightarrow k_{c}^{-} in Eq. (74). We introduce the function

F(x)=+vf(v)v2+x2𝑑v,\displaystyle F(x)=\int_{-\infty}^{+\infty}\frac{vf^{\prime}(v)}{v^{2}+x^{2}}\,dv, (86)

for any real xx. For x0x\rightarrow 0, we have the Taylor expansion F(x)=F(0)+F(0)x+F(x)=F(0)+F^{\prime}(0)x+... with

F(0)=+f(v)v𝑑v,\displaystyle F(0)=\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv, (87)
F(x)=+2xvf(v)(v2+x2)2𝑑v=+xf′′(v)v2+x2𝑑v,\displaystyle F^{\prime}(x)=-\int_{-\infty}^{+\infty}\frac{2xvf^{\prime}(v)}{(v^{2}+x^{2})^{2}}\,dv=-\int_{-\infty}^{+\infty}\frac{xf^{\prime\prime}(v)}{v^{2}+x^{2}}\,dv,
(88)

where we have used an integration by parts to get the last expression. Under this form, we cannot take the limit x0x\rightarrow 0 in the integral because the integral is not convergent for x=0x=0. However, if we write Eq. (88) in the equivalent form

F(x)=x+f′′(v)f′′(0)v2+x2𝑑v+xf′′(0)v2+x2𝑑v,\displaystyle F^{\prime}(x)=-x\int_{-\infty}^{+\infty}\frac{f^{\prime\prime}(v)-f^{\prime\prime}(0)}{v^{2}+x^{2}}\,dv-\int_{-\infty}^{+\infty}\frac{xf^{\prime\prime}(0)}{v^{2}+x^{2}}\,dv,
(89)

we obtain

F(0)=limx0xf′′(0)+dvv2+x2=πf′′(0)sign(x).\displaystyle F^{\prime}(0)=-\lim_{x\rightarrow 0}xf^{\prime\prime}(0)\int_{-\infty}^{+\infty}\frac{dv}{v^{2}+x^{2}}=-\pi f^{\prime\prime}(0){\rm sign}(x).
(90)

Regrouping the previous results, we find that the dispersion relation (74) becomes for ωi0+\omega_{i}\rightarrow 0^{+}:

1+4πGk2{+f(v)v𝑑vπf′′(0)ωik}=0.\displaystyle 1+\frac{4\pi G}{k^{2}}\left\{\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv-\pi f^{\prime\prime}(0)\frac{\omega_{i}}{k}\right\}=0. (91)

Similarly, the dispersion relation (77) becomes for ωi0\omega_{i}\rightarrow 0^{-}:

1+4πGk2{+f(v)v𝑑v+πf′′(0)ωik}\displaystyle 1+\frac{4\pi G}{k^{2}}\left\{\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv+\pi f^{\prime\prime}(0)\frac{\omega_{i}}{k}\right\}
8π2Gk2f′′(0)ωik=0,\displaystyle-\frac{8\pi^{2}G}{k^{2}}f^{\prime\prime}(0)\frac{\omega_{i}}{k}=0, (92)

which takes the same form as Eq. (91). Therefore, Eq. (91) is valid for ωi0\omega_{i}\rightarrow 0 whatever its sign. To leading order, we obtain161616In the derivation, we have assumed that f′′(0)0f^{\prime\prime}(0)\neq 0. If f′′(0)=0f^{\prime\prime}(0)=0, we need to develop the Taylor expansion to the next order.

ωi=kc34π2Gf′′(0)(1k2kc2),(kkc).\displaystyle\omega_{i}=\frac{-k_{c}^{3}}{4\pi^{2}Gf^{\prime\prime}(0)}\left(1-\frac{k^{2}}{k_{c}^{2}}\right),\qquad(k\rightarrow k_{c}). (93)

This formula leads to the following result. First of all, we recall that the mode of marginal stability that we consider corresponds to ωr/k=vext=0\omega_{r}/k=v_{ext}=0, i.e. to the extremum value of the distribution function f(v)f(v) at vext=0v_{ext}=0. If the distribution is maximum at v=0v=0, so that f′′(0)<0f^{\prime\prime}(0)<0, we find that the mode ω=iωi\omega=i\omega_{i} is stable for k>kck>k_{c} and unstable for k<kck<k_{c}. Alternatively, if the distribution is minimum at v=0v=0, so that f′′(0)>0f^{\prime\prime}(0)>0, we find that the mode ω=iωi\omega=i\omega_{i} is stable for k<kck<k_{c} and unstable for k>kck>k_{c}. This result will be illustrated in connection to Fig. 10 for the symmetric double humped distribution.

In this section, we have discussed particular solutions of the dispersion relation of the form ω=iωi\omega=i\omega_{i}. Of course, there may exist other solutions to the equation ϵ(k,ω)=0\epsilon(k,\omega)=0 with ωr0\omega_{r}\neq 0171717The modes ω=ωr+iωi\omega=\omega_{r}+i\omega_{i} with ωi>0\omega_{i}>0 and ωr0\omega_{r}\neq 0 are sometimes called overstable.. However, for single-humped distributions and unstable wavenumbers k<kck<k_{c}, the Nyquist curve encircles the origin only once (see Sec. 3.6) so that, when it exists, the solution ω=iωi\omega=i\omega_{i} with ωi>0\omega_{i}>0 is the only solution of ϵ(k,ω)=0\epsilon(k,\omega)=0 (for single-humped distributions and stable wavenumbers k>kck>k_{c}, there may exist other solutions of ϵ(k,ω)=0\epsilon(k,\omega)=0 with ωr0\omega_{r}\neq 0 and ωi<0\omega_{i}<0 as discussed in Sec. 4.4). Explicit solutions of the dispersion relation ϵ(k,ω)=0\epsilon(k,\omega)=0 with ω=iωi\omega=i\omega_{i} are given in Secs. 4 and 5 for isothermal and polytropic distributions.

3.9 Equivalence between the Jeans instability criterion for a stellar system and the Jeans instability criterion for the corresponding barotropic gas

Lynden-Bell (1962) first observed that the critical Jeans length for a stellar system described by a Maxwellian distribution function is equal to the critical Jeans length for an isothermal gas if we replace the velocity of sound by the velocity dispersion in one direction. In this section, we provide the appropriate generalization of this result for an arbitrary distribution of the form f=f(v2)f=f(v^{2}) with f<0f^{\prime}<0.

As indicated in Sec. 3.2, to any stellar system with a distribution function f=f(ϵ)f=f(\epsilon) and f(ϵ)<0f^{\prime}(\epsilon)<0, we can associate a corresponding barotropic gas with an equation of state p=p(ρ)p=p(\rho). According to Eq. (9), the condition of hydrostatic equilibrium can be written

p(ρ)=ρρ(Φ).\displaystyle p^{\prime}(\rho)=-\frac{\rho}{\rho^{\prime}(\Phi)}. (94)

Now, using Eq. (7) and the fact that ρ=f(ϵ)𝑑𝐯\rho=\int f(\epsilon)\,d{\bf v}, we get

cs2(𝐫)=ρ(𝐫)f(ϵ)𝑑𝐯=ρ(𝐫)fvzvz𝑑𝐯=ρ(𝐫)+gvzvz𝑑vz,\displaystyle c_{s}^{2}({\bf r})=-\frac{\rho({\bf r})}{\int f^{\prime}(\epsilon)\,d{\bf v}}=-\frac{\rho({\bf r})}{\int\frac{\frac{\partial f}{\partial v_{z}}}{v_{z}}d{\bf v}}=-\frac{\rho({\bf r})}{\int_{-\infty}^{+\infty}\frac{\frac{\partial g}{\partial v_{z}}}{v_{z}}d{v}_{z}},
(95)

where g(𝐫,vz)=f(ϵ)𝑑vx𝑑vyg({\bf r},v_{z})=\int f(\epsilon)\,dv_{x}dv_{y}. For a spatially homogeneous system, we obtain the identity

cs2=ρ+f(v)v𝑑v,\displaystyle c_{s}^{2}=-\frac{\rho}{\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,d{v}}, (96)

where we have noted vv for vzv_{z} and ff for gg like in Sec. 3.3. This identity is explicitly checked in Appendix C for the isothermal and polytropic distributions. Since f(v)f(v) is symmetric with respect to v=0v=0 and has a single maximum at v=0v=0, the Jeans instability criterion can be written (see Sec. 3.6):

k2<kc2=4πG+f(v)v𝑑v.\displaystyle k^{2}<k_{c}^{2}=-4\pi G\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv. (97)

Using identity (96), it can be rewritten

k2<kc2=4πGρcs2.\displaystyle k^{2}<k_{c}^{2}=\frac{4\pi G\rho}{c_{s}^{2}}. (98)

Therefore, the criterion of dynamical stability for a spatially homogeneous stellar system coincides with the criterion of dynamical stability for the corresponding barotropic gas (see Sec. 2.2). We insist on the fact that this equivalence is valid for an arbitrary distribution function of the form f=f(v2)f=f(v^{2}) with f<0f^{\prime}<0, not only for the Maxwellian. We conclude that: an infinite homogeneous stellar system with f=f(v2)f=f(v^{2}) and f<0f^{\prime}<0 is dynamically stable with respect to a perturbation with wavenumber kk if and only if the corresponding barotropic gas is dynamically stable with respect to this perturbation. This is the proper formulation of the Antonov first law for spatially homogeneous systems: in the present case, we have equivalence181818This “equivalence” for the dynamical stability of a homogeneous stellar system and the corresponding barotropic gas differs from the case of inhomogeneous systems where the limits of stability of stars and galaxies are generically different (see, e.g., Chavanis 2006a).. Of course, although the thresholds of stability/instability coincide, the evolution of the perturbation is different in a stellar system and in a fluid system (see Secs. 4 and 5). We should also emphasize that, in general, the velocity of sound csc_{s} in the corresponding barotropic gas is not equal to the velocity dispersion v21/2\langle v^{2}\rangle^{1/2} in the stellar system, except when f(v)f(v) is the Maxwellian distribution leading to Lynden-Bell’s result.

4 Isothermal stellar systems

4.1 The equation of state

We consider an isothermal stellar system described by the distribution function

f=Aeβϵ,\displaystyle f=Ae^{-\beta\epsilon}, (99)

where β=1/T\beta=1/T is a pseudo inverse temperature. We justify here this distribution as a particular steady state of the Vlasov equation191919The statistical equilibrium state of a self-gravitating system (resulting from a “collisional” relaxation) is also described by an isothermal distribution of the form (99). In that case, f=Aeβmϵf=Ae^{-\beta m\epsilon} is the Boltzmann distribution, β=1/(kBT)\beta=1/(k_{B}T) is the inverse thermodynamic temperature and SB[f]=kBfmlnfmd𝐫d𝐯S_{B}[f]=-k_{B}\int\frac{f}{m}\ln\frac{f}{m}d{\bf r}d{\bf v} is the Boltzmann entropy (Padmanabhan 1990).. The associated pseudo entropy is

S[f]=fln(f/f0)𝑑𝐫𝑑𝐯,\displaystyle S[f]=-\int f\ln(f/f_{0})d{\bf r}d{\bf v}, (100)

where f0f_{0} is a constant introduced to make the term in the logarithm dimensionless (it will play no role in the following since it appears in an additional constant term). The distribution (99) is obtained by extremizing the pseudo entropy (100) at fixed mass and energy, writing δSβδEαδM=0\delta S-\beta\delta E-\alpha\delta M=0. For an isothermal distribution, the kinetic temperature (velocity dispersion) defined by Eq. (48) is spatially uniform, and it coincides with the pseudo temperature: T(𝐫)=TT({\bf r})=T. The barotropic gas corresponding to the isothermal stellar system defined by Eq. (99) is the isothermal gas with an equation of state p(𝐫)=ρ(𝐫)Tp({\bf r})=\rho({\bf r})T. The velocity of sound is also spatially uniform and it coincides with the velocity dispersion in one direction: cs2(𝐫)=Tc_{s}^{2}({\bf r})=T. The density is related to the gravitational potential by Eq. (20). It can be obtained by integrating Eq. (99) on the velocities leading to Eq. (20) with A=A(2π/β)3/2A^{\prime}=A(2\pi/\beta)^{3/2}. It can also be obtained by using Eq. (9) with p(𝐫)=ρ(𝐫)Tp({\bf r})=\rho({\bf r})T, or by extremizing the functional (21) at fixed mass (Chavanis 2006a). Finally, combining Eqs (99) and (20), we can express the distribution function in terms of the density profile according to

f=(β2π)3/2ρ(𝐫)eβv22.\displaystyle f=\biggl{(}{\beta\over 2\pi}\biggr{)}^{3/2}\rho({\bf r})\ e^{-\beta{v^{2}\over 2}}. (101)

Remark: the stability of box-confined isothermal stellar systems has been studied by Antonov (1962), Lynden-Bell & Wood (1968), Padmanabhan (1990) and Chavanis (2006a).

4.2 The dispersion relation

Let us now consider an infinite homogeneous isothermal system described by the Maxwellian distribution function (101) with uniform density ρ(𝐫)=ρ\rho({\bf r})=\rho. The reduced distribution (51) is

f=(β2π)1/2ρeβv22.\displaystyle f=\biggl{(}{\beta\over 2\pi}\biggr{)}^{1/2}\rho\ e^{-\beta{v^{2}\over 2}}. (102)

The Maxwellian distribution has a single maximum at v=0v=0. Therefore, the condition of marginal stability (61) implies ωr=0\omega_{r}=0. From Eq. (60), we find that the Maxwellian distribution is marginally stable for k=kck=k_{c} where we have introduced the critical wavenumber

kc2=4πGρT.k_{c}^{2}=\frac{4\pi G\rho}{T}. (103)

According to the criterion (71), the Maxwell distribution is linearly dynamically stable if k>kck>k_{c} and linearly dynamically unstable if k<kck<k_{c}. The critical Jeans wavenumber (103) for an isothermal stellar system is the same as the critical Jeans wavenumber (23) for an isothermal gas. This is to be expected on account of the general result of Sec. 3.9.

The dielectric function (52) associated to the Maxwellian distribution is

ϵ(k,ω)=14πGk2(β2π)1/2ρCβvvωkeβv22𝑑v.\displaystyle\epsilon(k,\omega)=1-\frac{4\pi G}{k^{2}}\left(\frac{\beta}{2\pi}\right)^{1/2}\rho\int_{C}\frac{\beta v}{v-\frac{\omega}{k}}e^{-\beta{v^{2}\over 2}}\ dv. (104)

Introducing the critical Jeans wavenumber (103), it can be rewritten

ϵ(k,ω)=1kc2k2W(βωk),\displaystyle\epsilon({k},\omega)=1-{k_{c}^{2}\over k^{2}}W\biggl{(}{\sqrt{\beta}\omega\over k}\biggr{)}, (105)

where

W(z)=12πCxxzex22𝑑x,\displaystyle W(z)={1\over\sqrt{2\pi}}\int_{C}{x\over x-z}e^{-{x^{2}\over 2}}dx, (106)

is the WW-function of plasma physics (Ichimaru 1973). We note that W(0)=1W(0)=1. For any complex number zz, we have the analytical expression

W(z)=1zez220zex22𝑑x+iπ2zez22.\displaystyle W(z)=1-ze^{-{z^{2}\over 2}}\int_{0}^{z}e^{x^{2}\over 2}\,dx+i{\sqrt{\pi\over 2}}ze^{-{z^{2}\over 2}}. (107)

4.3 Growth rate and damping rate

We look for particular solutions of the dispersion relation ϵ(k,ω)=0\epsilon({k},\omega)=0 in the form ω=iωi\omega=i\omega_{i} where ωi\omega_{i} is real. Using Eq. (107), we note that

ϵ(k,iωi)=1kc2k2H(βωik),\displaystyle\epsilon({k},i\omega_{i})=1-{k_{c}^{2}\over k^{2}}H\biggl{(}\frac{\sqrt{\beta}\omega_{i}}{k}\biggr{)}, (108)

where we have introduced the function

H(x)W(ix)=1π2xex22erfc(x2).H(x)\equiv W(ix)=1-\sqrt{\frac{\pi}{2}}xe^{\frac{x^{2}}{2}}{\rm erfc}\left(\frac{x}{\sqrt{2}}\right). (109)

This function has the following asymptotic behaviors: (i) For x0x\rightarrow 0, H(x)=1π2x+H(x)=1-\sqrt{\frac{\pi}{2}}x+.... (ii) For x+x\rightarrow+\infty, H(x)=1x2(13x2+)H(x)=\frac{1}{x^{2}}(1-{3\over x^{2}}+...). (iii) For xx\rightarrow-\infty, H(x)2πxex22H(x)\sim-\sqrt{2\pi}xe^{\frac{x^{2}}{2}} (see Fig. 1). Using ϵ(k,iωi)=0\epsilon(k,i\omega_{i})=0, the relation between ωi\omega_{i} and kk (for fixed TT) can be written

1kc2k2H(βωik)=0,\displaystyle 1-{k_{c}^{2}\over k^{2}}H\biggl{(}{\sqrt{\beta}\omega_{i}\over k}\biggr{)}=0, (110)

or more explicitly202020This relation is established by Binney & Tremaine (1987) for ωi0\omega_{i}\geq 0. The present analysis shows that it is also valid for ωi<0\omega_{i}<0.

1kc2k2{1πβ2ωikeβωi22k2erfc(β2ωik)}=0.1-{k_{c}^{2}\over k^{2}}\biggl{\{}1-\sqrt{\pi\beta\over 2}{\omega_{i}\over k}e^{{\beta\omega_{i}^{2}\over 2k^{2}}}{\rm erfc}\biggl{(}\sqrt{\frac{\beta}{2}}{\omega_{i}\over k}\biggr{)}\biggr{\}}=0. (111)

This equation can also be obtained directly from Eqs. (53) and (55) (see Appendix D). If we set x=βωi/kx=\sqrt{\beta}\omega_{i}/k, we can rewrite Eq. (110) in the parametric form

ωi4πGρ=xH(x),k2kc2=H(x).\displaystyle\frac{\omega_{i}}{\sqrt{4\pi G\rho}}=x\sqrt{H(x)},\qquad\frac{k^{2}}{k_{c}^{2}}={H(x)}. (112)

By varying xx between -\infty and ++\infty, we obtain the full curve giving ωi\omega_{i} as a function of the wavenumber kk (see Fig. 2). Since the time dependence of the perturbation is δfeωit\delta f\sim e^{\omega_{i}t}, the case of neutral stability ωi=0\omega_{i}=0 corresponds to k=kck=k_{c}, the case of instability ωi>0\omega_{i}>0 corresponds to k<kck<k_{c} and the case of stability ωi<0\omega_{i}<0 corresponds to k>kck>k_{c}. We have the asymptotic behaviors

ωi4πGρ132k2kc2,(k/kc0),\displaystyle{\omega_{i}\over\sqrt{4\pi G\rho}}\sim 1-\frac{3}{2}{k^{2}\over k_{c}^{2}},\qquad(k/k_{c}\rightarrow 0), (113)
ωi4πGρ2π(1k2kc2),(k/kc1),\displaystyle{\omega_{i}\over\sqrt{4\pi G\rho}}\sim\sqrt{\frac{2}{\pi}}\biggl{(}1-{k^{2}\over k_{c}^{2}}\biggr{)},\qquad(k/k_{c}\rightarrow 1), (114)
ωi4πGρ2k2kc2ln(k2kc2),(k/kc+).\displaystyle{\omega_{i}\over\sqrt{4\pi G\rho}}\sim-\sqrt{{2k^{2}\over k_{c}^{2}}\ln\biggl{(}{k^{2}\over k_{c}^{2}}\biggr{)}},\qquad(k/k_{c}\rightarrow+\infty). (115)

Refer to caption

Figure 1: The function H(x)H(x).

Refer to caption

Figure 2: Pulsation ω\omega as a function of the wavenumber kk for an isothermal stellar system. For k<kJk<k_{J}, the system is unstable and ω=iωi\omega=i\omega_{i} with ωi>0\omega_{i}>0. For k>kJk>k_{J}, the system is stable. There exists many branches of solutions ω=ωr+iωi\omega=\omega_{r}+i\omega_{i} with ωi<0\omega_{i}<0 (see Sec. 4.4) but we have only represented the branch corresponding to ωr=0\omega_{r}=0. We have also compared these results with the case of an isothermal gas. For k<kJk<k_{J}, the system is unstable and ω=±iωi\omega=\pm i\omega_{i}. For k>kJk>k_{J}, the system is stable and ω=±ωr\omega=\pm\omega_{r}.

Equation (112) provides a particular solution of the dispersion relation ϵ(k,ω)=0\epsilon(k,\omega)=0 of the form ω=iωi\omega=i\omega_{i} with ωr=0\omega_{r}=0. The dispersion relation may have other solutions with ωr0\omega_{r}\neq 0. However, for single humped distributions, we know that there is only one unstable mode with ωi>0\omega_{i}>0 for given k<kck<k_{c} (see Sec. 3.6). Since the solutions ω=iωi\omega=i\omega_{i} given by Eq. (112) exist for any k<kck<k_{c}, we conclude that they are the only solutions in that range of wavenumbers. Therefore, for the unstable wavenumbers k<kck<k_{c}, the perturbation grows exponentially rapidly without oscillating. In other words, there are no overstable modes for the Maxwell distribution212121Binney & Tremaine (1987) show this result by a different method.. This is the same behavior as in a fluid system (see Sec. 2) except that the growth rate ωi>0\omega_{i}>0 in the stellar system [see Eq. (112)] and in the fluid system [see Eq. (17)] are different222222They only coincide for a cold system T=cs2=0T=c_{s}^{2}=0 (see Sec. 3.3) or for k=0k=0 (see Sec. 3.8).. For the stable wavenumbers k>kck>k_{c}, the perturbations in a stellar system are damped exponentially rapidly (ωi<0\omega_{i}<0). We have exhibited particular solutions (112) that are damped without oscillating ωr=0\omega_{r}=0 but these are not the only solutions of the dispersion relation. There also exists modes that are damped exponentially (ωi<0\omega_{i}<0) and oscillate ωr0\omega_{r}\neq 0 (see asymptotic results in Sec. 4.4). This form of damping for collisionless stellar systems is similar to the Landau damping for a plasma232323In plasma physics, for the Maxwellian distribution, there is no solution to the dispersion relation of the form ω=iωi\omega=i\omega_{i}. The pulsation ωr\omega_{r} is non zero (see Sec. 8.3).. The situation is very different in a fluid system. In that case, the stable modes with wavenumbers k>kck>k_{c} correspond to gravity-modified sound waves that propagate without attenuation (ωr0\omega_{r}\neq 0, ωi=0\omega_{i}=0).

The pulsation of the perturbations in an infinite homogeneous isothermal stellar system is plotted in Fig. 2 as a function of the wavenumber kk. For comparison, we have also indicated the pulsation of the perturbations in an infinite homogeneous isothermal gas.

4.4 Other branches for k+k\rightarrow+\infty

Let us solve the dispersion relation ϵ(k,ω)=0\epsilon(k,\omega)=0 for an isothermal distribution in the limit k+k\rightarrow+\infty242424We here adapt the method of plasma physics developed by Landau (1946), Jackson (1960) and Balescu (1963).. We look for a solution of the equation ϵ(k,ω)=0\epsilon(k,\omega)=0 of the form ω=ωr+iωi\omega=\omega_{r}+i\omega_{i} with ωi<0\omega_{i}<0 (damping) and ωiωr\omega_{i}\gg\omega_{r}. This corresponds to heavily damped perturbations. We shall check this approximation a posteriori. Using Eq. (55) for ωi<0\omega_{i}<0 , Eq. (52) can be written

1+4πGk2+f(v)vωk𝑑v+8π2Gk2if(ωk)=0.\displaystyle 1+\frac{4\pi G}{k^{2}}\int_{-\infty}^{+\infty}{{f^{\prime}(v)}\over v-\frac{\omega}{k}}\,dv+\frac{8\pi^{2}G}{k^{2}}if^{\prime}\left(\frac{\omega}{k}\right)=0. (116)

If f(v)f(v) decreases like eβv2/2e^{-\beta v^{2}/2} for real v±v\rightarrow\pm\infty, then for complex ω=ωr+iωi\omega=\omega_{r}+i\omega_{i} with ωiωr\omega_{i}\gg\omega_{r}, f(ω/k)f^{\prime}(\omega/k) will increase like eβωi2/2k2e^{\beta\omega_{i}^{2}/2k^{2}}. Therefore, to leading order, the foregoing equation reduces to

1+8π2Gk2if(ωk)=0.\displaystyle 1+\frac{8\pi^{2}G}{k^{2}}if^{\prime}\left(\frac{\omega}{k}\right)=0. (117)

Separating real and imaginary parts, we obtain two transcendant equations

Re[8π2Gk2if(ωr+iωik)]=1,\displaystyle{\rm Re}\left[\frac{8\pi^{2}G}{k^{2}}if^{\prime}\left(\frac{\omega_{r}+i\omega_{i}}{k}\right)\right]=-1, (118)
Im[if(ωr+iωik)]=0,\displaystyle{\rm Im}\left[if^{\prime}\left(\frac{\omega_{r}+i\omega_{i}}{k}\right)\right]=0, (119)

which crucially depend on the form of the distribution. For the Maxwellian (102), they can be rewritten to leading order in the limit ωi/ωr1\omega_{i}/\omega_{r}\gg 1 as

8π2Gk3(β2π)1/2ρβωieβωi22k2cos(βωrωik2)=1,\displaystyle\frac{8\pi^{2}G}{k^{3}}\left(\frac{\beta}{2\pi}\right)^{1/2}\rho\beta\omega_{i}e^{\frac{\beta\omega_{i}^{2}}{2k^{2}}}\cos\left(\frac{\beta\omega_{r}\omega_{i}}{k^{2}}\right)=-1, (120)
sin(βωrωik2)=0.\displaystyle\sin\left(\frac{\beta\omega_{r}\omega_{i}}{k^{2}}\right)=0. (121)

Equation (121) implies βωrωi/k2=mπ\beta\omega_{r}\omega_{i}/k^{2}=m\pi. Eq. (120) will have a solution provided that mm is even. Then, Eq. (120) gives

8π2Gk3(β2π)1/2ρβωieβωi22k2=1,\displaystyle\frac{8\pi^{2}G}{k^{3}}\left(\frac{\beta}{2\pi}\right)^{1/2}\rho\beta\omega_{i}e^{\frac{\beta\omega_{i}^{2}}{2k^{2}}}=-1, (122)

which determines ωi\omega_{i}. By a graphical construction, it is easy to see that |ωi||\omega_{i}| is an increasing function of kk. For k+k\rightarrow+\infty, we find the asymptotic behaviors

ωi=2βklnk,ωr=mπ21βklnk.\displaystyle\omega_{i}=-\frac{2}{\sqrt{\beta}}k\sqrt{\ln k},\qquad\omega_{r}=-m\frac{\pi}{2}\frac{1}{\sqrt{\beta}}\frac{k}{\sqrt{\ln k}}. (123)

Since ωi/ωrlnk+\omega_{i}/\omega_{r}\sim\ln k\rightarrow+\infty, our basic assumption is satisfied. Therefore, for k>kck>k_{c} we have several branches of solutions parameterized by the even integer mm. For m=0m=0, we recover the results of Sec. 4.3.

Remark: by analogy with plasma physics, we could also look for solutions of the dispersion relation (52) of the form ω=ωr+iωi\omega=\omega_{r}+i\omega_{i} with ωiωr\omega_{i}\ll\omega_{r}. This corresponds to weakly damped perturbations. In plasma physics, these solutions are valid for k0k\rightarrow 0 and lead to the usual Landau damping formula. However, a self-gravitating system is unstable for k<kck<k_{c}. Furthermore, it is easy to show that there is no solution of that form to Eq. (52) whatever the form of the distribution f(v)f(v) and the wavenumber kk. This implies that for attractive interactions (like gravity) the perturbations are unstable for k<kck<k_{c} and heavily damped for k>kck>k_{c} while for repulsive interaction (like plasmas) they are weakly damped for k<kDk<k_{D} and heavily damped for k>kDk>k_{D}.

4.5 Nyquist curve

It will be convenient in the following to work with dimensionless quantities. We introduce the dimensionless wavenumber and the dimensionless pulsation

η=4πGρTk2,Ω=ω4πGρ,\displaystyle\eta=\frac{4\pi G\rho}{Tk^{2}},\qquad\Omega=\frac{\omega}{\sqrt{4\pi G\rho}}, (124)

Noting that βω/k=ηΩ\sqrt{\beta}\omega/k=\sqrt{\eta}\Omega, the dielectric function (105) can be rewritten

ϵ(η,Ω)=1ηW(ηΩ).\displaystyle\epsilon({\eta},\Omega)=1-\eta W(\sqrt{\eta}\Omega). (125)

When Ωi=0\Omega_{i}=0, the real and imaginary parts of the dielectric function ϵ(η,Ωr)=ϵr(η,Ωr)+iϵi(η,Ωr)\epsilon(\eta,\Omega_{r})=\epsilon_{r}(\eta,\Omega_{r})+i\epsilon_{i}(\eta,\Omega_{r}) can be written

ϵr(η,Ωr)=1ηWr(ηΩr),\epsilon_{r}(\eta,\Omega_{r})=1-\eta W_{r}\left(\sqrt{\eta}\Omega_{r}\right), (126)
ϵi(η,Ωr)=ηWi(ηΩr),\epsilon_{i}(\eta,\Omega_{r})=-\eta W_{i}\left(\sqrt{\eta}\Omega_{r}\right), (127)

with

Wr(z)=1zez220zex22𝑑x,W_{r}(z)=1-ze^{-\frac{z^{2}}{2}}\int_{0}^{z}e^{\frac{x^{2}}{2}}\,dx, (128)
Wi(z)=π2zez22,W_{i}(z)=\sqrt{\frac{\pi}{2}}ze^{-\frac{z^{2}}{2}}, (129)

where zz is here a real number. The condition of marginal stability corresponds to ϵr(η,Ωr)=ϵi(η,Ωr)=0\epsilon_{r}(\eta,\Omega_{r})=\epsilon_{i}(\eta,\Omega_{r})=0. The condition ϵi(η,Ωr)=0\epsilon_{i}(\eta,\Omega_{r})=0, which is equivalent to f(ηΩr)=0f^{\prime}(\sqrt{\eta}\Omega_{r})=0, implies Ωr=0\Omega_{r}=0. Then, the condition ϵr(η,Ωr)=0\epsilon_{r}(\eta,\Omega_{r})=0 leads to η=ηc\eta=\eta_{c} with

ηc=1.\eta_{c}=1. (130)

Refer to caption

Figure 3: Nyquist curve for the Maxwellian distribution (102). The DF is stable for perturbations with η<ηc\eta<\eta_{c} (k>kck>k_{c}), marginally stable for perturbations with η=ηc\eta=\eta_{c} (k=kck=k_{c}) and unstable for perturbations with η>ηc\eta>\eta_{c} (k<kck<k_{c}). We have taken η=2,1,0.5\eta=2,1,0.5 from the outer to the inner curve.

To apply the Nyquist method, we need to plot the curve (ϵr(η,Ωr),ϵi(η,Ωr))(\epsilon_{r}(\eta,\Omega_{r}),\epsilon_{i}(\eta,\Omega_{r})) in the ϵ\epsilon-plane. For Ωr±\Omega_{r}\rightarrow\pm\infty, this curve tends to the point (1,0)(1,0) in the manner described in Sec. 3.6. On the other hand, for Ωr=0\Omega_{r}=0, it crosses the xx-axis at (ϵr(η,0)=1η,0)(\epsilon_{r}(\eta,0)=1-\eta,0). The Nyquist curve is represented in Fig. 3 for several values of the wavenumber η\eta. For η<1\eta<1 (i.e. k>kck>k_{c}), the Nyquist curve does not encircle the origin so that the Maxwellian distribution is stable. For η>1\eta>1 (i.e. k<kck<k_{c}) the Nyquist curve encircles the origin so that the Maxwellian distribution is unstable. For η=1\eta=1 (i.e. k=kck=k_{c}) the Nyquist curve passes through the origin so that the Maxwellian distribution is marginally stable. The Nyquist method provides a nice graphical illustration of the Jeans instability criterion for an infinite homogeneous stellar system.

5 Stellar polytropes

5.1 The equation of state

We consider a stellar polytrope (or polytropic galaxy) described by the distribution function

f=[μβ(q1)qϵ]+1q1,\displaystyle f=\biggl{[}\mu-{\beta(q-1)\over q}\epsilon\biggr{]}_{+}^{1\over q-1}, (131)

where β=1/T\beta=1/T is a pseudo inverse temperature and qq is a parameter related to the traditional polytropic index nn by

n=32+1q1.\displaystyle n={3\over 2}+{1\over q-1}. (132)

This relation is plotted in Fig. 4 and specific values considered in the sequel are highlighted. We justify here the polytropic distribution function (131) as a particular steady state of the Vlasov equation252525Some authors (Plastino & Plastino (1993), Lima et al. (2002), Silva & Alcaniz (2004), Lima & de Souza (2005), Taruya & Sakagami (2003a), Leubner (2005), Kronberger et al. (2006), Du Julin (2006)) have interpreted the polytropic distribution (131) and the functional (133) in terms of Tsallis (1988) generalized thermodynamics. Here, we use a more conventional approach (Ipser 1974, Ipser & Horwitz 1979, Binney & Tremaine 1987, Chavanis 2006a). We interpret the polytropic distribution (131) as a particular steady state of the Vlasov equation and the functional (133) as a pseudo entropy. Its maximization at fixed mass and energy provides a condition of nonlinear dynamical stability with respect to the Vlasov equation (see Sec. 3.1), not a condition of “generalized thermodynamical stability”. In particular, as argued by Chavanis & Sire (2005) and Campa et al. (2008), the instabilities reported by Taruya & Sakagami (2003b) correspond to Vlasov dynamical instabilities, not “generalized thermodynamical instabilities”. In the present context, the analogies with Tsallis thermodynamics are purely coincidental. They are the mark of a thermodynamical analogy (Chavanis 2006a). Tsallis generalized thermodynamics applies in different contexts (see Chavanis 2008a).. The associated pseudo-entropy is

S=1q1(fqf0q1f)𝑑𝐫𝑑𝐯,\displaystyle S=-{1\over q-1}\int(f^{q}-f_{0}^{q-1}f)d{\bf r}d{\bf v}, (133)

where f0f_{0} is a constant introduced for reasons of homogeneity (it will play no role in the following since it appears in a term proportional to the mass that is conserved). The DF (131) is obtained by extremizing the pseudo entropy (133) at fixed mass and energy, writing δSβδEαδM=0\delta S-\beta\delta E-\alpha\delta M=0. The condition that C(f)C(f) must be convex imposes q>0q>0. On the other hand, we shall assume that f(ϵ)f(\epsilon) is a decreasing function of the energy so that β>0\beta>0. It is important to note that 1/β1/\beta does not represent the kinetic temperature (or velocity dispersion) of the polytropic distribution (see Sec. 5.2).

Refer to caption

Figure 4: The relation between the polytropic index nn and the parameter qq. Some particular values (q,n)(q,n) are indicated for reference.

We need to distinguish two cases depending on the sign of q1q-1. For q>1q>1 (n>3/2n>3/2), the distribution function can be written

f=A(ϵmϵ)+1q1,\displaystyle f=A(\epsilon_{m}-\epsilon)_{+}^{1\over q-1}, (134)

where we have set A=[β(q1)/q]1q1A=[\beta(q-1)/q]^{1\over q-1} and ϵm=qμ/[β(q1)]\epsilon_{m}=q\mu/[\beta(q-1)]. Such distributions have a compact support since they vanish at ϵ=ϵm\epsilon=\epsilon_{m}. For ϵ>ϵm\epsilon>\epsilon_{m}, we set f=0f=0. Therefore, the notation [x]+=x[x]_{+}=x for x>0x>0 and [x]+=0[x]_{+}=0 for x<0x<0. At a given position, the distribution function vanishes for vvm(𝐫)=2(ϵmΦ(𝐫))v\geq v_{m}({\bf r})=\sqrt{2(\epsilon_{m}-\Phi({\bf r}))}. For q1q\rightarrow 1 (n+n\rightarrow+\infty), we recover the isothermal distribution (99) and for n=3/2n=3/2 the distribution function is a step function (see Sec. 5.5). This is the distribution function of a Fermi gas at zero temperature describing classical white dwarf stars (Chandrasekhar 1942). For 0<q<10<q<1, the distribution function can be written

f=A(ϵ0+ϵ)1q1,\displaystyle f=A(\epsilon_{0}+\epsilon)^{1\over q-1}, (135)

where we have set A=[β(1q)/q]1q1A=[\beta(1-q)/q]^{1\over q-1} and ϵ0=qμ/[β(1q)]\epsilon_{0}=q\mu/[\beta(1-q)]. Such distributions are defined for all velocities. At a given position, the distribution function behaves, for large velocities, as fv2/(q1)v2n3f\sim v^{2/(q-1)}\sim v^{2n-3}. We shall only consider distribution functions for which the density ρ=f𝑑𝐯\rho=\int f\,d{\bf v} and the pressure p=13fv2𝑑𝐯p=\frac{1}{3}\int fv^{2}\,d{\bf v} are finite. This implies 3/5<q<13/5<q<1 (n<1n<-1)262626If we allow β\beta to be negative, then it is possible to construct stellar polytropes with index 1/2<n<3/21/2<n<3/2 which are mathematically well-behaved (see Binney & Tremaine 1987). However, for those polytropes, the distribution function increases with the energy (and diverges at ϵ=ϵm\epsilon=\epsilon_{m}) so they may not be physical..

Let us now determine the equation of state of the barotropic gas corresponding to a stellar polytrope. For n>3/2n>3/2, the density and the pressure can be expressed as

ρ=4π2A(ϵmΦ)nΓ(3/2)Γ(n1/2)Γ(n+1),\displaystyle\rho=4\pi\sqrt{2}A(\epsilon_{m}-\Phi)^{n}{\Gamma(3/2)\Gamma(n-1/2)\over\Gamma(n+1)}, (136)
p=1n+14π2A(ϵmΦ)n+1Γ(3/2)Γ(n1/2)Γ(n+1),\displaystyle p={1\over n+1}4\pi\sqrt{2}A(\epsilon_{m}-\Phi)^{n+1}{\Gamma(3/2)\Gamma(n-1/2)\over\Gamma(n+1)}, (137)

where Γ(x)\Gamma(x) denotes the Gamma function. For n<1n<-1, the density and the pressure can be expressed as

ρ=4π2A(ϵ0+Φ)nΓ(n)Γ(3/2)Γ(3/2n),\displaystyle\rho=4\pi\sqrt{2}A(\epsilon_{0}+\Phi)^{n}{\Gamma(-n)\Gamma(3/2)\over\Gamma(3/2-n)}, (138)
p=1n+14π2A(ϵ0+Φ)n+1Γ(n)Γ(3/2)Γ(3/2n).\displaystyle p=-{1\over n+1}4\pi\sqrt{2}A(\epsilon_{0}+\Phi)^{n+1}{\Gamma(-n)\Gamma(3/2)\over\Gamma(3/2-n)}. (139)

Eliminating the gravitational potential between the expressions (136)-(137) and (138)-(139), one finds that

p=Kργ,γ=1+1n,\displaystyle p=K\rho^{\gamma},\qquad\gamma=1+{1\over n}, (140)

where

K=1n+1{4π2AΓ(3/2)Γ(n1/2)Γ(n+1)}1n(n>3/2)\displaystyle K={1\over n+1}\biggl{\{}4\pi\sqrt{2}A{\Gamma(3/2)\Gamma(n-1/2)\over\Gamma(n+1)}\biggr{\}}^{-{1\over n}}(n>3/2)\qquad (141)
K=1n+1{4π2AΓ(n)Γ(3/2)Γ(3/2n)}1n(n<1).\displaystyle K=-{1\over n+1}\biggl{\{}4\pi\sqrt{2}A{\Gamma(-n)\Gamma(3/2)\over\Gamma(3/2-n)}\biggr{\}}^{-{1\over n}}(n<-1). (142)

Therefore, a stellar polytrope has the same equation of state (140) as a polytropic star. However, they do not have the same distribution function (compare Eq. (131) to Eq. (4)) except for nn\rightarrow\infty corresponding to the isothermal case. The density is related to the gravitational potential by Eq. (25). It can be obtained by integrating Eq. (131) on the velocity leading to Eqs. (136) and (138) from which, using Eqs. (141) and (142), we deduce Eq. (25) with λ=ϵm/(K(n+1))\lambda=\epsilon_{m}/(K(n+1)) for n3/2n\geq 3/2 and λ=ϵ0/(K(n+1))\lambda=\epsilon_{0}/(-K(n+1)) for n<1n<-1. It can also be obtained by using Eq. (9) with Eq. (140) or by extremizing the functional (26) at fixed mass (Chavanis 2006a). Note that Eqs. (25) and (26) are similar to Eqs. (131) and (133) with γ\gamma playing the role of the parameter qq and KK playing the role of the pseudo temperature T=1/βT=1/\beta. Polytropic distributions (including the isothermal one) are apparently the only distributions for which f(ϵ)f(\epsilon) and ρ(Φ)\rho(\Phi) have a similar mathematical form.

Remark: isolated stellar polytropes have a finite mass iff 3/2n53/2\leq n\leq 5 and they are dynamically stable (Binney & Tremaine 1987). The stability of box-confined polytropes is studied by Taruya & Sakagami (2003a) in the context of generalized thermodynamics and by Chavanis (2006a) in the context of Vlasov dynamical stability.

5.2 Other expressions of the distribution function

We can write the distribution function of stellar polytropes (131) in different forms that all have their own interest. This will show that different notions of “temperature” exist for polytropic distributions272727We recall that, for collisionless stellar systems, the mass of the stars does not appear in the Vlasov equation and the different “temperatures” that we introduce have the dimension of a velocity squared..

(i) Pseudo temperature T=1/βT=1/\beta: as indicated previously, the form (131) of the polytropic distribution directly comes from the variational principle (36) when we write the pseudo entropy in the form (133). Therefore, β=1/T\beta=1/T is the Lagrange multiplier associated with the conservation of energy. It is called “pseudo inverse temperature”. Note, however, that T=1/βT=1/\beta does not have the dimension of a temperature (squared velocity).

(ii) Dimensional temperature θ=1/b\theta=1/b: we can define a quantity that has the dimension of a temperature (squared velocity) by setting b=β/qμb=\beta/q\mu. If we define furthermore f=μ1/(q1)f_{*}=\mu^{1/(q-1)}, the polytropic distribution (131) can be rewritten

f=f[1b(q1)ϵ]+1q1.\displaystyle f=f_{*}\biggl{[}1-{b(q-1)}\epsilon\biggr{]}_{+}^{1\over q-1}. (143)

Using Eqs. (136) and (138), the relation between the density and the gravitational potential can be written

ρ=ρ[1b(q1)Φ]n,\displaystyle\rho=\rho_{*}\biggl{[}1-{b(q-1)}\Phi\biggr{]}^{n}, (144)

with

ρ=2πf(2n3b)3/2Γ(3/2)Γ(n1/2)Γ(n+1)(n>3/2),\displaystyle\rho_{*}=2\pi f_{*}\left(\frac{2n-3}{b}\right)^{3/2}\frac{\Gamma(3/2)\Gamma(n-1/2)}{\Gamma(n+1)}\ (n>3/2),
(145)
ρ=2πf(32nb)3/2Γ(3/2)Γ(n)Γ(3/2n)(n<1).\displaystyle\rho_{*}=2\pi f_{*}\left(\frac{3-2n}{b}\right)^{3/2}\frac{\Gamma(3/2)\Gamma(-n)}{\Gamma(3/2-n)}\ (n<-1). (146)

(iii) Polytropic temperature KK: eliminating the gravitational potential between Eqs. (134) and (136), and between Eqs. (135) and (138), we can express the distribution function in terms of the density according to

f=1Z[ρ(𝐫)1/nv2/2(n+1)K]+n3/2,\displaystyle f={1\over Z}\biggl{[}\rho({\bf r})^{1/n}-{v^{2}/2\over(n+1)K}\biggr{]}_{+}^{n-3/2}, (147)
Z=4π2Γ(3/2)Γ(n1/2)Γ(n+1)[K(n+1)]3/2(n>3/2)\displaystyle Z=4\pi\sqrt{2}{\Gamma(3/2)\Gamma(n-1/2)\over\Gamma(n+1)}[K(n+1)]^{3/2}\ (n>3/2) (148)
Z=4π2Γ(n)Γ(3/2)Γ(3/2n)[K(n+1)]3/2(n<1).\displaystyle Z=4\pi\sqrt{2}{\Gamma(-n)\Gamma(3/2)\over\Gamma(3/2-n)}[-K(n+1)]^{3/2}\ (n<-1). (149)

This is the polytropic counterpart of expression (101) for the isothermal distribution. The constant KK plays a role similar to the temperature TT in an isothermal distribution. In particular, it is uniform in a polytropic distribution as is the temperature in an isothermal system. For that reason, it is sometimes called a polytropic temperature.

(iv) Kinetic temperature T(𝐫)T({\bf r}): for a polytropic distribution, the kinetic temperature (velocity dispersion) defined by Eq. (48) is given by

T(𝐫)=Kρ(𝐫)γ1.\displaystyle T({\bf r})=K\rho({\bf r})^{\gamma-1}. (150)

For an inhomogeneous stellar polytrope, the kinetic temperature T(𝐫)T({\bf r}) is position dependent and differs from the pseudo temperature T=1/βT=1/\beta. The velocity of sound is given by

cs2(𝐫)=Kγρ(𝐫)γ1=γT(𝐫).\displaystyle c_{s}^{2}({\bf r})=K\gamma\rho({\bf r})^{\gamma-1}=\gamma T({\bf r}). (151)

It is also position dependent and differs from the velocity dispersion (they differ by a factor γ\gamma). Using Eq. (150), the distribution function (147) can be written

f=Bnρ(𝐫)[2πT(𝐫)]3/2[1v2/2(n+1)T(𝐫)]+n3/2,\displaystyle f=B_{n}{\rho({\bf r})\over[2\pi T({\bf r})]^{3/2}}\biggl{[}1-{v^{2}/2\over(n+1)T({\bf r})}\biggr{]}_{+}^{n-3/2}, (152)
Bn=Γ(n+1)Γ(n1/2)(n+1)3/2,(n>3/2)\displaystyle B_{n}={\Gamma(n+1)\over\Gamma(n-1/2)(n+1)^{3/2}},\quad(n>3/2) (153)
Bn=Γ(3/2n)Γ(n)[(n+1)]3/2(n<1).\displaystyle B_{n}={\Gamma(3/2-n)\over\Gamma(-n)[-(n+1)]^{3/2}}\quad(n<-1). (154)

Note that for n>3/2n>3/2, the maximum velocity can be expressed in terms of the kinetic temperature by

vm(𝐫)=2(n+1)T(𝐫).\displaystyle v_{m}({\bf r})=\sqrt{2(n+1)T({\bf r})}. (155)

Using Γ(z+a)/Γ(z)za\Gamma(z+a)/\Gamma(z)\sim z^{a} for z+z\rightarrow+\infty, we recover the isothermal distribution (99) for n+n\rightarrow+\infty. On the other hand, from Eqs. (150) and (25), we immediately get T(𝐫)=K(λ(γ1)Φ(𝐫)/Kγ)T({\bf r})=K(\lambda-(\gamma-1)\Phi({\bf r})/K\gamma) so that

T=γ1γΦ.\displaystyle\nabla T=-{\gamma-1\over\gamma}\nabla\Phi. (156)

This shows that, for a stellar polytrope, the kinetic temperature (velocity dispersion) is a linear function of the gravitational potential282828For any spherical stellar system with f=f(ϵ)f=f(\epsilon), we have ρ=ρ(Φ)\rho=\rho(\Phi) and p=p(Φ)p=p(\Phi) so that the kinetic temperature (velocity dispersion) T=p/ρT=p/\rho is a function T=T(Φ)T=T(\Phi) of the gravitational potential. For a polytropic distribution function, this relation turns out to be linear.. The coefficient of proportionality is related to the polytropic index by (γ1)/γ=1/(n+1)=2(q1)/(5q3)(\gamma-1)/\gamma=1/(n+1)=2(q-1)/(5q-3). This relation can also be obtained directly from Eq. (134) [or Eq. (135)] noting that

f=A(ϵmΦ)n3/2[1v2/2ϵmΦ]+n3/2,\displaystyle f=A(\epsilon_{m}-\Phi)^{n-3/2}\left[1-\frac{v^{2}/2}{\epsilon_{m}-\Phi}\right]_{+}^{n-3/2}, (157)

and comparing with Eq. (152).

5.3 The dispersion relation

Let us now consider an infinite homogeneous polytropic stellar system described by the polytropic distribution function (152) with uniform density ρ(𝐫)=ρ\rho({\bf r})=\rho and uniform kinetic temperature T(𝐫)=TT({\bf r})=T. From now on, T=1/βT=1/\beta will denote the kinetic temperature (48), not the Lagrange multiplier appearing in Eq. (131). The kinetic temperature is uniform because we have assumed that the density is uniform. The reduced distribution function (51) is292929If we justify the distribution function (158) from the 3D distribution function (152) integrated on vxv_{x} and vyv_{y}, then it is valid for n>3/2n>3/2 and n<1n<-1. However, as far as mathematics is concerned, the distribution (158) is normalizable and has a finite variance in the range of indices n1/2n\geq 1/2 and n<1n<-1.

f(v)=Bnρ2πT[1v22(n+1)T]+n1/2,f(v)=B_{n}\frac{\rho}{\sqrt{2\pi T}}\left[1-\frac{v^{2}}{2(n+1)T}\right]_{+}^{n-1/2}, (158)

where ρ\rho is the density, T=1/β=v2T=1/\beta=\langle v^{2}\rangle is the velocity dispersion in one direction and BnB_{n} is a normalization constant given by

Bn\displaystyle B_{n} =\displaystyle= Γ(n+1)Γ(n+1/2)(n+1)1/2,n>12,\displaystyle\frac{\Gamma(n+1)}{\Gamma(n+1/2)(n+1)^{1/2}},\qquad n>{1\over 2}, (159)
Bn\displaystyle B_{n} =\displaystyle= Γ(1/2n)Γ(n)[(n+1)]1/2,n<1.\displaystyle\frac{\Gamma(1/2-n)}{\Gamma(-n)[-(n+1)]^{1/2}},\qquad n<{-1}. (160)

The polytropic distribution has a single maximum at v=0v=0. Therefore, the condition of marginal stability (61) implies ωr=0\omega_{r}=0. From Eq. (60), we find that the polytropic distribution is marginally stable for k=kck=k_{c} where we have introduced the critical wavenumber

kc2=4πGργT.k_{c}^{2}=\frac{4\pi G\rho}{\gamma T}. (161)

According to the criterion (71), the polytropic distribution is linearly dynamically stable if k>kck>k_{c} and linearly dynamically unstable if k<kck<k_{c}. The critical Jeans wavenumber (161) for a stellar polytrope is the same as the critical Jeans wavenumber (31) for a polytropic gas. This is to be expected on account of the general result of Sec. 3.9. It should be stressed that the quantity that appears in the critical wavenumber (161) is the velocity of sound cs2=γTc_{s}^{2}=\gamma T in the corresponding barotropic gas, not the velocity dispersion TT. They coincide for the Maxwellian distribution (γ=1\gamma=1), but this is not general.

The dielectric function (52) associated to the polytropic distribution is

ϵ(k,ω)=14πGk2ρ2πTBn(n12)1(n+1)T\displaystyle\epsilon(k,\omega)=1-\frac{4\pi G}{k^{2}}\frac{\rho}{\sqrt{2\pi T}}B_{n}\left(n-\frac{1}{2}\right)\frac{1}{(n+1)T}
×Cv[1v22(n+1)T]+n3/2vωkdv.\displaystyle\times\int_{C}\frac{v\left[1-\frac{v^{2}}{2(n+1)T}\right]_{+}^{n-3/2}}{v-\frac{\omega}{k}}\,dv. (162)

Introducing the critical wavenumber (161), we obtain

ϵ(k,ω)=1kc2k2Wn(ωkT),\displaystyle\epsilon({k},\omega)=1-{k_{c}^{2}\over k^{2}}W_{n}\biggl{(}{\omega\over k\sqrt{T}}\biggr{)}, (163)

where

Wn(z)=12πBnn(n12)Cx[1x22(n+1)]+n3/2xz𝑑x,\displaystyle W_{n}(z)=\frac{1}{\sqrt{2\pi}}\frac{B_{n}}{n}\left(n-\frac{1}{2}\right)\int_{C}\frac{x[1-\frac{x^{2}}{2(n+1)}]_{+}^{n-3/2}}{x-z}dx,

is a generalization of the WW-function of plasma physics. We note that Wn(0)=1W_{n}(0)=1. For n+n\rightarrow+\infty, we recover the WW-function (106). Equation (5.3) is therefore a generalization of this function to the case of polytropic distributions.

5.4 Growth rate and damping rate

We look for particular solutions of the dispersion relation ϵ(k,ω)=0\epsilon({k},\omega)=0 in the form ω=iωi\omega=i\omega_{i} where ωi\omega_{i} is real. First, we note that

ϵ(k,iωi)=1kc2k2Hn(ωikT),\displaystyle\epsilon({k},i\omega_{i})=1-{k_{c}^{2}\over k^{2}}H_{n}\biggl{(}\frac{\omega_{i}}{k\sqrt{T}}\biggr{)}, (165)

where we have introduced the function Hn(x)Wn(ix)H_{n}(x)\equiv W_{n}(ix). For x>0x>0, we have

Hn(x)=12πBnn(n12)+t2[1t22(n+1)]+n3/2t2+x2𝑑t,\displaystyle H_{n}(x)=\frac{1}{\sqrt{2\pi}}\frac{B_{n}}{n}\left(n-\frac{1}{2}\right)\int_{-\infty}^{+\infty}\frac{t^{2}[1-\frac{t^{2}}{2(n+1)}]_{+}^{n-3/2}}{t^{2}+x^{2}}dt,

and for x<0x<0, we have

Hn(x)=12πBnn(n12){+t2[1t22(n+1)]+n3/2t2+x2dt\displaystyle H_{n}(x)=\frac{1}{\sqrt{2\pi}}\frac{B_{n}}{n}\left(n-\frac{1}{2}\right)\biggl{\{}\int_{-\infty}^{+\infty}\frac{t^{2}[1-\frac{t^{2}}{2(n+1)}]_{+}^{n-3/2}}{t^{2}+x^{2}}dt
2πx[1+x22(n+1)]n3/2}.\displaystyle-2\pi x\left[1+\frac{x^{2}}{2(n+1)}\right]^{n-3/2}\biggr{\}}.\qquad\qquad\qquad (167)

Using ϵ(k,iωi)=0\epsilon(k,i\omega_{i})=0, the relation between ωi\omega_{i} and kk (for fixed TT) can be written

1kc2k2Hn(ωikT)=0.\displaystyle 1-{k_{c}^{2}\over k^{2}}H_{n}\biggl{(}{\omega_{i}\over k\sqrt{T}}\biggr{)}=0. (168)

For n+n\rightarrow+\infty, we recover Eq. (110). If we set x=βωi/kx=\sqrt{\beta}\omega_{i}/k, we can rewrite Eq. (168) in the parametric form

ωi4πGρ=xHn(x)γ,k2kc2=Hn(x).\displaystyle\frac{\omega_{i}}{\sqrt{4\pi G\rho}}=x\sqrt{\frac{H_{n}(x)}{\gamma}},\qquad\frac{k^{2}}{k_{c}^{2}}={H_{n}(x)}. (169)

By varying xx between -\infty and ++\infty, we obtain the full curve giving ωi\omega_{i} as a function of the wavenumber kk. Since the time dependence of the perturbation is δfeωit\delta f\sim e^{\omega_{i}t}, the case of neutral stability ωi=0\omega_{i}=0 corresponds to k=kck=k_{c}, the case of instability ωi>0\omega_{i}>0 corresponds to k<kck<k_{c} and the case of stability ωi<0\omega_{i}<0 corresponds to k>kck>k_{c}. The discussion of the different regimes is similar to the one given in Sec. 4.3. For kkck\rightarrow k_{c}, using the general approximate formula (93), the pulsation ωi\omega_{i} is given by

ωi4πGρ=2π(n1+n)1/2nBn1n12(1k2kc2).\displaystyle\frac{\omega_{i}}{\sqrt{4\pi G\rho}}=\sqrt{\frac{2}{\pi}}\left(\frac{n}{1+n}\right)^{1/2}\frac{n}{B_{n}}\frac{1}{n-\frac{1}{2}}\left(1-\frac{k^{2}}{k_{c}^{2}}\right). (170)

Refer to caption

Figure 5: Pulsation ω\omega as a function of the wavenumber kk for a stellar polytrope with n1/2n\geq 1/2 (we have represented n=0.5,1,1.5,2,3,5,10,100n=0.5,1,1.5,2,3,5,10,100). For k<kck<k_{c}, the system is unstable and ω=iωi\omega=i\omega_{i} with ωi>0\omega_{i}>0. For k>kck>k_{c}, the system is stable. There exists many branches of solutions ω=ωr+iωi\omega=\omega_{r}+i\omega_{i} with ωi<0\omega_{i}<0 but we have only represented the branch corresponding to ωr=0\omega_{r}=0. We have also compared these results to the case of a polytropic gas. For k<kck<k_{c}, the system is unstable and ω=±iωi\omega=\pm i\omega_{i}. For k>kck>k_{c}, the system is stable and ω=±ωr\omega=\pm\omega_{r}. The instability occurs for k<kc(poly)=kc(iso)/γk<k_{c}^{(poly)}=k_{c}^{(iso)}/\sqrt{\gamma} where γ=1+1/n\gamma=1+1/n. For n1/2n\geq 1/2, kc(poly)kc(iso)k_{c}^{(poly)}\leq k_{c}^{(iso)}.

Refer to caption

Figure 6: Pulsation ω\omega as a function of the wavenumber kk for a stellar polytrope and a polytropic gas with n1n\leq-1 (we have represented n=1.5,2,3,5,10,100n=-1.5,-2,-3,-5,-10,-100). The instability occurs for k<kc(poly)=kc(iso)/γk<k_{c}^{(poly)}=k_{c}^{(iso)}/\sqrt{\gamma} where γ=1+1/n\gamma=1+1/n. For n1n\leq-1, kc(poly)kc(iso)k_{c}^{(poly)}\geq k_{c}^{(iso)}.

The pulsation of the perturbation in an infinite homogeneous stellar polytrope is plotted in Figs. 5 and 6 as a function of the wavenumber kk. For comparison, we have also indicated the pulsation of the perturbation in an infinite homogeneous polytropic gas. For n=n=\infty, we recover the isothermal case shown in Fig. 2.

5.5 Particular cases

The case n=3/2n=3/2 deserves a particular attention. In that case, the distribution function f(𝐫,𝐯)f({\bf r},{\bf v}) is a step function so that f=η0f=\eta_{0} for vvm(𝐫)2(ϵmΦ(𝐫))v\leq v_{m}({\bf r})\equiv\sqrt{2(\epsilon_{m}-\Phi({\bf r}))} and f=0f=0 otherwise. This corresponds to the distribution function of the self-gravitating Fermi gas at T=0T=0 which describes classical white dwarf stars (Chandrasekhar 1942). The density is ρ=4π3η0vm3\rho={4\pi\over 3}\eta_{0}v_{m}^{3} and the pressure p=4π15η0vm5p={4\pi\over 15}\eta_{0}v_{m}^{5}. Eliminating vmv_{m} from these two relations, we get a polytropic equation of state p=Kρ5/3p=K\rho^{5/3} with n=3/2n=3/2, γ=5/3\gamma=5/3 and K=15(34πη0)2/3K={1\over 5}({3\over 4\pi\eta_{0}})^{2/3}. The kinetic temperature is T=15vm2T=\frac{1}{5}v_{m}^{2} and the velocity of sound is cs2=13vm2c_{s}^{2}={1\over 3}v_{m}^{2}. For an infinite and homogeneous medium, the reduced distribution function (158) corresponding to n=3/2n=3/2 is a parabola

f(v)=3ρ45T(1v25T).\displaystyle f(v)=\frac{3\rho}{4\sqrt{5T}}\left(1-\frac{v^{2}}{5T}\right). (171)

The critical Jeans wavenumber (72) is kc2=12πGρ/5T=12πGρ/vm2k_{c}^{2}=12\pi G\rho/5T=12\pi G\rho/v_{m}^{2} which is fully consistent with the expression (161) with γ=1+1/n=5/3\gamma=1+1/n=5/3. For n=3/2n=3/2, we can obtain an explicit expression of the function (5.4)-(5.4). For x>0x>0, we have

H3/2(x)=1x5arctan(5x),\displaystyle H_{3/2}(x)=1-\frac{x}{\sqrt{5}}\arctan\left(\frac{\sqrt{5}}{x}\right), (172)

and for x<0x<0, we have

H3/2(x)=1x5[arctan(5x)+π].\displaystyle H_{3/2}(x)=1-\frac{x}{\sqrt{5}}\left[\arctan\left(\frac{\sqrt{5}}{x}\right)+\pi\right]. (173)

The index n=1/2n=1/2 is also special and corresponds to the water-bag model. In that case, the reduced distribution f(v)f(v) is a step function so that f=η0f=\eta_{0} for |v|vm|v|\leq v_{m} and f=0f=0 otherwise. The amplitude η0\eta_{0} is determined by the density according to the relation ρ=2η0vm\rho=2\eta_{0}v_{m}. The kinetic temperature is T=v2=13vm2T=\langle v^{2}\rangle=\frac{1}{3}v_{m}^{2}. The derivative of the distribution function is f(v)=η0[δ(v+vm)δ(vvm)]f^{\prime}(v)=\eta_{0}[\delta(v+v_{m})-\delta(v-v_{m})]. The critical Jeans wavenumber (72) is kc2=4πGρ/v02=4πGρ/3Tk_{c}^{2}=4\pi G\rho/v_{0}^{2}=4\pi G\rho/3T which is fully consistent with the expression (161) with γ=1+1/n=3\gamma=1+1/n=3. For n=1/2n=1/2, we can obtain an explicit expression of the dielectric function (5.3). We get

ϵ(k,ω)=1kc2k2W1/2(ωkT),\displaystyle\epsilon(k,\omega)=1-\frac{k_{c}^{2}}{k^{2}}W_{1/2}\left(\frac{\omega}{k\sqrt{T}}\right), (174)

with

W1/2=1113z2.\displaystyle W_{1/2}=\frac{1}{1-\frac{1}{3}z^{2}}. (175)

The condition ϵ(k,ω)=0\epsilon(k,\omega)=0 determines the pulsation. For k>kck>k_{c}, the system is stable and the perturbation presents pure oscillations with pulsation

ω=±3T(k2kc2)1/2.\displaystyle\omega=\pm\sqrt{3T}(k^{2}-k_{c}^{2})^{1/2}. (176)

For k<kck<k_{c}, the system is unstable and the perturbation has a growth rate (and a decay rate) given by

ω=±i3T(kc2k2)1/2.\displaystyle\omega=\pm i\sqrt{3T}(k_{c}^{2}-k^{2})^{1/2}. (177)

We note that, for the water-bag distribution, the general asymptotic behavior (85) becomes exact for all kkck\leq k_{c}. We also note that for the specific index n=1/2n=1/2 (γ=3\gamma=3), the dispersion relation in a stellar system takes the same form as in a gas (see Sec. 2).

5.6 The Nyquist curve

Introducing the dimensionless wavenumber and dimensionless pulsation (124), the dielectric function (163) can be rewritten

ϵ(η,Ω)=11γηWn(ηΩ).\displaystyle\epsilon({\eta},\Omega)=1-\frac{1}{\gamma}\eta W_{n}(\sqrt{\eta}\Omega). (178)

When Ωi=0\Omega_{i}=0, the real and imaginary parts of the dielectric function ϵ(η,Ωr)=ϵr(η,Ωr)+iϵi(η,Ωr)\epsilon(\eta,\Omega_{r})=\epsilon_{r}(\eta,\Omega_{r})+i\epsilon_{i}(\eta,\Omega_{r}) are given by

ϵr(η,Ωr)=11γηWr(n)(ηΩr),\epsilon_{r}(\eta,\Omega_{r})=1-\frac{1}{\gamma}\eta W_{r}^{(n)}\left(\sqrt{\eta}\Omega_{r}\right), (179)
ϵi(η,Ωr)=1γηWi(n)(ηΩr),\epsilon_{i}(\eta,\Omega_{r})=-\frac{1}{\gamma}\eta W_{i}^{(n)}\left(\sqrt{\eta}\Omega_{r}\right), (180)

with

Wr(n)(z)=12πBnn(n12)\displaystyle W_{r}^{(n)}(z)=\frac{1}{\sqrt{2\pi}}\frac{B_{n}}{n}\left(n-\frac{1}{2}\right)
×P+x[1x22(n+1)]+n3/2xz𝑑x,\displaystyle\times P\int_{-\infty}^{+\infty}\frac{x[1-\frac{x^{2}}{2(n+1)}]_{+}^{n-3/2}}{x-z}dx, (181)
Wi(n)(z)=π2Bnn(n12)z[1z22(n+1)]+n3/2,\displaystyle W_{i}^{(n)}(z)=\sqrt{\frac{\pi}{2}}\frac{B_{n}}{n}\left(n-\frac{1}{2}\right)z\left[1-\frac{z^{2}}{2(n+1)}\right]_{+}^{n-3/2},

where zz is here a real number. The condition of marginal stability corresponds to ϵr(η,Ωr)=ϵi(η,Ωr)=0\epsilon_{r}(\eta,\Omega_{r})=\epsilon_{i}(\eta,\Omega_{r})=0. The condition ϵi(η,Ωr)=0\epsilon_{i}(\eta,\Omega_{r})=0, which is equivalent to f(ηΩr)=0f^{\prime}(\sqrt{\eta}\Omega_{r})=0, implies Ωr=0\Omega_{r}=0. Then, the relation ϵr(η,Ωr)=0\epsilon_{r}(\eta,\Omega_{r})=0 leads to η=ηc\eta=\eta_{c} with

ηc=γ.\eta_{c}={\gamma}. (183)

To apply the Nyquist method, we need to plot the curve (ϵr(η,Ωr),ϵi(η,Ωr))(\epsilon_{r}(\eta,\Omega_{r}),\epsilon_{i}(\eta,\Omega_{r})) in the ϵ\epsilon-plane. We have to distinguish different cases according to the value of the index nn. A general discussion has been given by Chavanis & Delfini (2009) in the context of the HMF model. This discussion can be immediately transposed to the present context.

6 The symmetric double-humped distribution

6.1 Determination of the extrema

We consider a reduced distribution function (51) of the form

f(v)=β2πρ2[eβ2(vva)2+eβ2(v+va)2].f(v)=\sqrt{\frac{\beta}{2\pi}}\frac{\rho}{2}\left[e^{-\frac{\beta}{2}(v-v_{a})^{2}}+e^{-\frac{\beta}{2}(v+v_{a})^{2}}\right]. (184)

This is a symmetric double-humped distribution corresponding to the superposition of two Maxwellian distributions with temperature T=1/βT=1/\beta centered in vav_{a} and va-v_{a} respectively (see Fig. 7). This distribution models two streams of particles in opposite direction. The average velocity is v=0\langle v\rangle=0 and the kinetic temperature Tkinv2=T+va2T_{kin}\equiv\langle v^{2}\rangle=T+v_{a}^{2}. The velocitie(s) v0v_{0} at which the distribution function f(v)f(v) is extremum satisfy f(v0)=0f^{\prime}(v_{0})=0. They are determined by the equation

e2βvav0=vav0va+v0.e^{-2\beta v_{a}v_{0}}=\frac{v_{a}-v_{0}}{v_{a}+v_{0}}. (185)

We note that v0[va,+va]v_{0}\in[-v_{a},+v_{a}]. Introducing the dimensionless velocity and the dimensionless separation

V=βv,Va=βva,V=\sqrt{\beta}v,\qquad V_{a}=\sqrt{\beta}v_{a}, (186)

Eq. (185) can be rewritten

1=12VaV0ln(Va+V0VaV0).1=\frac{1}{2V_{a}V_{0}}\ln\left(\frac{V_{a}+V_{0}}{V_{a}-V_{0}}\right). (187)

It is convenient to introduce the variables

x=V0Va,y=Va2.x=\frac{V_{0}}{V_{a}},\qquad y=V_{a}^{2}. (188)

For a fixed temperature TT, xx plays the role of the velocity v0v_{0} at which the distribution is extremum and yy plays the role of separation vav_{a}. Then, we have to study the function

y(x)=12xln(1+x1x),y(x)=\frac{1}{2x}\ln\left(\frac{1+x}{1-x}\right), (189)

for x]1,+1[x\in]-1,+1[. This function is plotted in Fig. 8. It has the following properties:

y(x)=y(x),y(-x)=y(x), (190)
y(x)12ln(1x),(x1),y(x)\sim-\frac{1}{2}\ln(1-x),\qquad(x\rightarrow 1^{-}), (191)
y(0)=1.y(0)=1. (192)

The extrema of the distribution function (184) can be deduced from the study of this function. First, considering Eq. (187), we note that f(v)f(v) always has an extremum at v0=0v_{0}=0, for any value of β\beta and vav_{a}. This is a “degenerate” solution of Eq. (189) corresponding to the vertical line x=0x=0 in Fig. 8. On the other hand, if y>1y>1, i.e βva2>1\beta v_{a}^{2}>1, there exists two other extrema v0=±vv_{0}=\pm v_{*} where v=vaxv_{*}=v_{a}x_{*} with x=y1(βva2)x_{*}=y^{-1}(\beta v_{a}^{2}).

In conclusion, for a given temperature TT:

\bullet if y>1y>1 (va2>Tv_{a}^{2}>T), the distribution function f(v)f(v) has two maxima at v0=±vv_{0}=\pm v_{*} and one minimum at v0=0v_{0}=0.

\bullet if y1y\leq 1 (va2Tv_{a}^{2}\leq T), the distribution function f(v)f(v) has only one maximum at v0=0v_{0}=0 (the limit case βva2=1\beta v_{a}^{2}=1 corresponds to f′′(0)=0f^{\prime\prime}(0)=0).

Refer to caption
Figure 7: Symmetric double-humped distribution made of two Maxwellians with separation yy (for a given temperature TT). If y>1y>1, the distribution has two maxima at ±V\pm V_{*} and one minimum at V0=0V_{0}=0 while for y<1y<1, it has only one maximum at V0=0V_{0}=0.
Refer to caption
Figure 8: The function y(x)y(x) for the symmetric double-humped distribution.

6.2 The condition of marginal stability

Introducing the dimensionless variables (124) and (188), the dielectric function associated to the symmetric double-humped distribution (184) is

ϵ(η,Ω)=1η2[W(ηΩy))+W(ηΩ+y))],\displaystyle\epsilon(\eta,\Omega)=1-\frac{\eta}{2}\left[W(\sqrt{\eta}\Omega-\sqrt{y}))+W(\sqrt{\eta}\Omega+\sqrt{y}))\right],

where W(z)W(z) is defined in Eq. (106). For a fixed temperature, η\eta plays the role of the wavenumber kk, Ω\Omega plays the role of the pulsation ω\omega and yy plays the role of the separation vav_{a}. When Ωi=0\Omega_{i}=0, the real and imaginary parts of the dielectric function ϵ(η,Ωr)=ϵr(η,Ωr)+iϵi(η,Ωr)\epsilon(\eta,\Omega_{r})=\epsilon_{r}(\eta,\Omega_{r})+i\epsilon_{i}(\eta,\Omega_{r}) can be written

ϵr(η,Ωr)=1η2[Wr(ηΩry))+Wr(ηΩr+y))],\displaystyle\epsilon_{r}(\eta,\Omega_{r})=1-\frac{\eta}{2}\left[W_{r}(\sqrt{\eta}\Omega_{r}-\sqrt{y}))+W_{r}(\sqrt{\eta}\Omega_{r}+\sqrt{y}))\right],
ϵi(η,Ωr)=η2[Wi(ηΩry))+Wi(ηΩr+y))],\displaystyle\epsilon_{i}(\eta,\Omega_{r})=-\frac{\eta}{2}\left[W_{i}(\sqrt{\eta}\Omega_{r}-\sqrt{y}))+W_{i}(\sqrt{\eta}\Omega_{r}+\sqrt{y}))\right],

where Wr(z)W_{r}(z) and Wi(z)W_{i}(z) are defined in Eqs. (128)-(129) where zz is here a real number. The condition of marginal stability corresponds to ϵr(η,Ωr)=ϵi(η,Ωr)=0\epsilon_{r}(\eta,\Omega_{r})=\epsilon_{i}(\eta,\Omega_{r})=0. The condition ϵi(η,Ωr)=0\epsilon_{i}(\eta,\Omega_{r})=0 is equivalent to

f(ηΩr)=0.f^{\prime}(\sqrt{\eta}\Omega_{r})=0. (196)

The condition ϵr(η,Ωr)=0\epsilon_{r}(\eta,\Omega_{r})=0 leads to

1η2[Wr(ηΩry))+Wr(ηΩr+y))]=0.1-\frac{\eta}{2}\left[W_{r}(\sqrt{\eta}\Omega_{r}-\sqrt{y}))+W_{r}(\sqrt{\eta}\Omega_{r}+\sqrt{y}))\right]=0.\\

Therefore, according to Eq. (196), the phase velocity ηΩr\sqrt{\eta}\Omega_{r} is equal to a velocity V0V_{0} at which the distribution (184) is extremum. The second equation (6.2) determines the value(s) ηc(y)\eta_{c}(y) of the wavenumber at which the distribution is marginally stable.

6.2.1 The case ωr=0\omega_{r}=0

Let us first consider the value Ωr=0\Omega_{r}=0 that is solution of Eq. (196) for any vav_{a} and β\beta. In that case, Eq. (6.2) becomes

ηc(0)(y)=1Wr(y),\eta_{c}^{(0)}(y)=\frac{1}{W_{r}(\sqrt{y})}, (197)

where we have used Wr(x)=Wr(x)W_{r}(-x)=W_{r}(x). For given separation yy, this equation determines the wavenumber ηc(0)(y)\eta_{c}^{(0)}(y) corresponding to a mode of marginal stability with Ωr=0\Omega_{r}=0. The function defined by Eq. (197) is plotted in Fig. 9. It diverges at y=ymax=zc2y=y_{max}=z_{c}^{2} where zc=1.307z_{c}=1.307 is the zero of Wr(z)W_{r}(z) (see Appendix A of Chavanis & Delfini 2009). Then, using Wr(zc)=1/zcW_{r}^{\prime}(z_{c})=-1/z_{c}, we find from Eq. (197) that

ηc(0)(y)2ymaxymaxy,(yymax).\eta_{c}^{(0)}(y)\sim\frac{2y_{max}}{y_{max}-y},\qquad(y\rightarrow y_{max}). (198)

For y>ymax=1.708y>y_{max}=1.708, Wr(y)W_{r}(\sqrt{y}) is negative so the branch ηc(0)(y)\eta_{c}^{(0)}(y) exists only for y[0,ymax]y\in[0,y_{max}]. For y0y\rightarrow 0, we have

ηc(0)(0)=1.\eta_{c}^{(0)}(0)=1. (199)

This result is to be expected since, for va=0v_{a}=0, the distribution (184) reduces to the Maxwellian. We thus recover the critical wavenumber (130).

In conclusion:

\bullet if y<ymaxy<y_{max}, there exists a critical wavenumber ηc(0)(y)\eta_{c}^{(0)}(y) determined by Eq. (197) corresponding to a marginal mode (Ωr=0,Ωi=0)(\Omega_{r}=0,\Omega_{i}=0).

\bullet if y>ymaxy>y_{max}, there is no marginal mode (Ωr=0,Ωi=0)(\Omega_{r}=0,\Omega_{i}=0).

The curve ηc(0)(y)\eta_{c}^{(0)}(y) corresponding to the marginal mode with zero pulsation Ωr=0\Omega_{r}=0 is plotted in Fig. 10.

Refer to caption
Figure 9: η=1/Wr(y)\eta=1/W_{r}(\sqrt{y}) as a function of yy.

6.2.2 The case ωr0\omega_{r}\neq 0

We now consider the cases where ηΩr=±V\sqrt{\eta}\Omega_{r}=\pm V_{*} is solution of Eq. (196) for y>1y>1. To determine the wavenumber(s) at which the distribution (184) is marginally stable, we have to solve

1η2[Wr(Vy))+Wr(V+y))]=0,1-\frac{\eta}{2}\left[W_{r}(V_{*}-\sqrt{y}))+W_{r}(V_{*}+\sqrt{y}))\right]=0,\\

where VV_{*} is given by

1=12Vyln(y+VyV).1=\frac{1}{2V_{*}\sqrt{y}}\ln\left(\frac{\sqrt{y}+V_{*}}{\sqrt{y}-V_{*}}\right). (200)

Eliminating VV_{*} between these two expressions, we obtain the critical wavenumber(s) ηc(±)(y)\eta_{c}^{(\pm)}(y) as a function of yy. However, it is easier to proceed differently. Setting x=V/Va=V/yx=V_{*}/V_{a}=V_{*}/\sqrt{y}, we obtain the equations

y=12xln(1+x1x),y=\frac{1}{2x}\ln\left(\frac{1+x}{1-x}\right), (201)
η=2[Wr(y(x1))+Wr(y(x+1))].\eta=\frac{2}{\left[W_{r}(\sqrt{y}(x-1))+W_{r}(\sqrt{y}(x+1))\right]}. (202)

For given xx, we can obtain yy from Eq. (201) [see also Fig. 8] and η\eta from Eq. (202). Varying xx in the interval ]1,1[]-1,1[ yields the full curve ηc(±)(y)\eta_{c}^{(\pm)}(y). By symmetry, we can restrict ourselves to the interval x[0,1[x\in[0,1[.

For x=0x=0, we have y=1y=1 and

ηc(±)(1)=η=1Wr(1)=3.633.\eta_{c}^{(\pm)}(1)=\eta_{*}=\frac{1}{W_{r}(1)}=3.633. (203)

The branch ηc(±)(y)\eta_{c}^{(\pm)}(y) starts at the point (1,η)(1,\eta_{*}), corresponding to ηΩr=±V=0\sqrt{\eta}\Omega_{r}=\pm V_{*}=0 (i.e. x=0x=0). This point is at the intersection between the branch ηc(0)(y)\eta_{c}^{(0)}(y) along which Ωr=0\Omega_{r}=0 and the line y=1y=1 separating the regions where the distribution has one or two maxima.

For x1x\rightarrow 1, we have y12ln(1x)+y\sim-\frac{1}{2}\ln(1-x)\rightarrow+\infty and

ηc(±)(y)=2+12y+(y+).\eta_{c}^{(\pm)}(y)=2+\frac{1}{2y}+...\qquad(y\rightarrow+\infty). (204)

This result can be understood simply. For y+y\rightarrow+\infty, the two humps are far away from each other so that the critical wavenumber ηc(±)\eta_{c}^{(\pm)} coincides with the critical wavenumber of a single Maxwellian since they do not “see” each other. Noting that the mass of a single hump is M/2M/2, the corresponding critical wavenumber is kc=4πG(ρ/2)/Tk_{c}=4\pi G(\rho/2)/T leading to ηc(±)=2\eta_{c}^{(\pm)}=2.

In conclusion:

\bullet if y>1y>1, there exists a single critical wavenumber ηc(±)(y)\eta_{c}^{(\pm)}(y) determined by Eqs. (201)-(202) corresponding to a marginal mode (Ωr=±V/ηc,Ωi=0)(\Omega_{r}=\pm V_{*}/\sqrt{\eta_{c}},\Omega_{i}=0). Note that the modes Ωr=+V/ηc\Omega_{r}=+V_{*}/\sqrt{\eta_{c}} and Ωr=V/ηc\Omega_{r}=-V_{*}/\sqrt{\eta_{c}} are degenerate. This degeneracy can be raised by a small asymmetry (symmetry breaking) in the distribution (see Sec. 7).

The curve ηc(±)(y)\eta_{c}^{(\pm)}(y) corresponding to the marginal mode with pulsation Ωr=±V/ηc\Omega_{r}=\pm V_{*}/\sqrt{\eta_{c}} is plotted in Fig. 10.

6.3 The stability diagram

The critical wavenumbers ηc(y)\eta_{c}(y) corresponding to marginal stability determined previously are represented as a function of the separation yy in Fig. 10. We have also plotted the line y=1y=1. On the left of this line, the distribution has a single maximum at V0=0V_{0}=0 and on the right of this line, the distribution has two maxima at V0=±VV_{0}=\pm V_{*} and a minimum at V0=0V_{0}=0. In order to investigate the stability of the solutions in the different regions, we have used the Nyquist method.

Refer to caption

Figure 10: Stability diagram of the symmetric double-humped distribution (184). The solid line (ηc)(\eta_{c})_{*} corresponds to the critical line: below this line the DF is stable and above this line the DF is unstable. On the left panel (delimited by the dotted line), there is one mode of instability and on the right panel there are two modes of instability. The dashed line corresponds to y=1y=1: on the left of this line the DF has one maximum and on the right of this line the DF has two maxima and one minimum. The symbols in parenthesis like (x=0)(x=0) give the values of xx or yy that parametrize the marginal curves. The notations like (+)(-+-) give the positions of the ϵr(vext)\epsilon_{r}(v_{ext})’s in the Nyquist curves as defined in Sec. 3.7.

For y<1y<1, there exists one wavenumber ηc(0)(y)\eta_{c}^{(0)}(y) at which the DF is marginally stable. For η=ηc(0)(y)\eta=\eta_{c}^{(0)}(y), the DF has one maximum at V0=0V_{0}=0. The marginal perturbation does not propagate (Ωr=0\Omega_{r}=0). By considering the Nyquist curves in this region (see Figs. 11-12), we find that the DF is stable for η<ηc(0)(y)\eta<\eta_{c}^{(0)}(y) and unstable for η>ηc(0)(y)\eta>\eta_{c}^{(0)}(y).

Refer to caption

Figure 11: Nyquist curve for y<1y<1 and η<ηc(0)\eta<\eta_{c}^{(0)} (specifically y=0.5y=0.5 and η=0.5\eta=0.5). The DF has only one maximum at V0=0V_{0}=0. It is stable (with respect to this perturbation) because the Nyquist curve does not encircle the origin. Case (+).

Refer to caption

Figure 12: Nyquist curve for y<1y<1 and η>ηc(0)\eta>\eta_{c}^{(0)} (specifically y=0.5y=0.5 and η=6\eta=6). The DF has only one maximum at V0=0V_{0}=0. It is unstable (with respect to this perturbation) because the Nyquist curve encircles the origin. Case (-).

For y>ymaxy>y_{max}, there exists one wavenumber ηc(±)(y)\eta_{c}^{(\pm)}(y) at which the DF is marginally stable. For η=ηc(±)(y)\eta=\eta_{c}^{(\pm)}(y), the DF has two maxima at V0=±VV_{0}=\pm V_{*} and one minimum at V0=0V_{0}=0. The marginal perturbation evolves with a pulsation Ωr=±V/ηc\Omega_{r}=\pm V_{*}/\sqrt{\eta_{c}}. By considering the Nyquist curves in this region (see Figs. 13-14), we find that the DF is stable for η<ηc(±)(y)\eta<\eta_{c}^{(\pm)}(y) and unstable for η>ηc(±)(y)\eta>\eta_{c}^{(\pm)}(y).

Refer to caption

Figure 13: Nyquist curve for y>ymaxy>y_{max} and η<ηc(±)\eta<\eta_{c}^{(\pm)} (specifically y=2y=2 and η=1\eta=1). The DF has two maxima at V0=±VV_{0}=\pm V_{*} and one minimum at V0=0V_{0}=0. The DF is stable (with respect to this perturbation) because the Nyquist curve does not encircle the origin. Case (+ + +).

Refer to caption

Figure 14: Nyquist curve for y>ymaxy>y_{max} and η>ηc(±)\eta>\eta_{c}^{(\pm)} (specifically y=2y=2 and η=6\eta=6). The DF has two maxima at V0=±VV_{0}=\pm V_{*} and one minimum at V0=0V_{0}=0. The DF is unstable (with respect to this perturbation) because the Nyquist curve encircles the origin. Since it rotates twice around the origin, this implies that there are N=2N=2 unstable modes (ωr,ωi)(\omega_{r},\omega_{i}) with ωi>0\omega_{i}>0. Case (- + -).

For 1<y<ymax1<y<y_{max}, there exists two wavenumbers ηc(0)(y)\eta_{c}^{(0)}(y) and ηc(±)(y)\eta_{c}^{(\pm)}(y) at which the DF is marginally stable. The DF has two maxima at V0=±VV_{0}=\pm V_{*} and one minimum at V0=0V_{0}=0. For η=ηc(0)(y)\eta=\eta_{c}^{(0)}(y), the marginal perturbation does not propagate (Ωr=0\Omega_{r}=0). For η=ηc(±)(y)\eta=\eta_{c}^{(\pm)}(y), the marginal perturbation has a pulsation Ωr=±V/ηc\Omega_{r}=\pm V_{*}/\sqrt{\eta_{c}}. By considering the Nyquist curves in this region (see Fig. 15), we find that the DF is stable for η<ηc(±)(y)\eta<\eta_{c}^{(\pm)}(y) and unstable for η>ηc(±)(y)\eta>\eta_{c}^{(\pm)}(y).

Refer to caption

Figure 15: Nyquist curve for 1<y<ymax1<y<y_{max} and η>ηc(0)\eta>\eta_{c}^{(0)} (specifically y=1.2y=1.2 and η=6\eta=6). The DF has two maxima at V0=±VV_{0}=\pm V_{*} and one minimum at V0=0V_{0}=0. The DF is unstable (with respect to this perturbation) because the Nyquist curve encircles the origin. Since it rotates only once around the origin, this implies that there is N=1N=1 unstable mode (ωr,ωi)(\omega_{r},\omega_{i}) with ωi>0\omega_{i}>0. Case (- - -).

A few comments are in order:

1. In Fig. 10, we explicitly see that the system is always unstable with respect to perturbations with sufficiently small kk (the case of cold systems T=0T=0 is treated in Appendix E). This corroborates the general result given at the end of Sec. 3.5. More precisely, we see that the system is stable for perturbations with k>(kc)k>(k_{c})_{*} (corresponding to the solid line) and unstable for perturbations with k<(kc)k<(k_{c})_{*}. Furthermore, we note that this critical wavenumber (kc)(k_{c})_{*} corresponds to a marginal perturbation where the phase velocity ω/k\omega/k coincides with the maximum of the velocity distribution: for va2<Tv_{a}^{2}<T, this is v0=0v_{0}=0 and for va2>Tv_{a}^{2}>T, this is v0=±vv_{0}=\pm v_{*}.

2. For 1<y<ymax1<y<y_{max} and ηc(±)<η<ηc(0)\eta_{c}^{(\pm)}<\eta<\eta_{c}^{(0)}, there are two unstable modes since the Nyquist curve encircles the origin twice. One of these two modes is ω=iωi\omega=i\omega_{i} and the other is ω=ωr+iωi\omega=\omega_{r}+i\omega_{i} with ωr0\omega_{r}\neq 0 (overstable). When we increase η\eta and cross the marginal line η=ηc(0)\eta=\eta_{c}^{(0)}, the mode ω=iωi\omega=i\omega_{i} becomes stable according to the general result (93). Indeed, for y>1y>1, the DF is minimum at v=0v=0. This is why there is only one unstable mode for η>ηc(0)\eta>\eta_{c}^{(0)}: the mode ω=ωr+iωi\omega=\omega_{r}+i\omega_{i} with ωr0\omega_{r}\neq 0 (overstable). On the other hand, for y<1y<1, the mode ω=iωi\omega=i\omega_{i} is stable for η<ηc(0)\eta<\eta_{c}^{(0)}. When we increase η\eta and cross the marginal line η=ηc(0)\eta=\eta_{c}^{(0)}, it becomes unstable according to the general result (93). Indeed, for y>1y>1, the DF is maximum at v=0v=0.

3. In Fig. 10, we see that the critical Jeans length (λc)(\lambda_{c})_{*} associated to a double-humped DF (va0v_{a}\neq 0) is always larger than the critical Jeans length associated to the single-humped Maxwellian (va=0v_{a}=0). This means that the presence of streaming in a purely stellar system has a stabilizing role. This is different if there exists a gas component in the system since the critical Jeans length is reduced by the relative motion of the gas and stars (Sweet 1963).

4. For a double-humped stellar system with va<Tv_{a}<\sqrt{T}, the critical Jeans length increases with vav_{a} due to the stabilization effect of the relative velocity. Alternatively, in a contra-streaming self-gravitating gas with va<csv_{a}<c_{s}, the critical Jeans length decreases with vav_{a} and tends to zero as vacsv_{a}\rightarrow c_{s} (Talwar & Kalra 1966, Ikeuchi et al. 1974). On the other hand, for a double-humped stellar system with va>Tv_{a}>\sqrt{T} or for a contrastreaming self-gravitating gas with va>csv_{a}>c_{s}, the critical Jeans length decreases with vav_{a} (but remains larger than the classical Jeans wavelength corresponding to va=0v_{a}=0) and overstable modes appear.

7 The asymmetric double-humped distribution

7.1 Determination of the extrema

We now assume that the reduced distribution (51) is an asymmetric double-humped distribution of the form

f(v)=β2πρ1+Δ[eβ2(vva)2+Δeβ2(v+va)2],f(v)=\sqrt{\frac{\beta}{2\pi}}\frac{\rho}{1+\Delta}\left[e^{-\frac{\beta}{2}(v-v_{a})^{2}}+\Delta e^{-\frac{\beta}{2}(v+v_{a})^{2}}\right], (205)

where T=1/βT=1/\beta is the temperature of the Maxwellians and Δ\Delta is the asymmetry parameter (we assume here that Δ>1\Delta>1). This distribution is plotted in Fig. 16. The symmetric case is recovered for Δ=1\Delta=1. The average velocity is v=[(Δ1)/(Δ+1)]va\langle v\rangle=-[(\Delta-1)/(\Delta+1)]v_{a} and the kinetic temperature Tkin(vv)2=T+[4Δ/(Δ+1)2]va2T_{kin}\equiv\langle(v-\langle v\rangle)^{2}\rangle=T+[4\Delta/(\Delta+1)^{2}]v_{a}^{2}. The velocities v0v_{0} at which the distribution function f(v)f(v) is extremum satisfy f(v0)=0f^{\prime}(v_{0})=0. They are determined by the equation

e2βvav0=1Δvav0va+v0.e^{-2\beta v_{a}v_{0}}=\frac{1}{\Delta}\frac{v_{a}-v_{0}}{v_{a}+v_{0}}. (206)

We note that v0]va,+va[v_{0}\in]-v_{a},+v_{a}[. Introducing the dimensionless velocity and the dimensionless separation (186), Eq. (206) can be rewritten

1=12VaV0ln(Va+V0VaV0)+ln(Δ)2VaV0.1=\frac{1}{2V_{a}V_{0}}\ln\left(\frac{V_{a}+V_{0}}{V_{a}-V_{0}}\right)+\frac{\ln(\Delta)}{2V_{a}V_{0}}. (207)

It is convenient to introduce the variables

x=V0Va,y=Va2.x=\frac{V_{0}}{V_{a}},\qquad y=V_{a}^{2}. (208)

Then, we have to study the function

y(x)=12xln(1+x1x)+ln(Δ)2x,y(x)=\frac{1}{2x}\ln\left(\frac{1+x}{1-x}\right)+\frac{\ln(\Delta)}{2x}, (209)

for x]1,+1[x\in]-1,+1[. This function is plotted in Fig. 17. It has the following properties

y(x)12ln(1x),(x1),y(x)\sim-\frac{1}{2}\ln(1-x),\qquad(x\rightarrow 1^{-}), (210)
y(x)12ln(1+x),(x1+),y(x)\sim-\frac{1}{2}\ln(1+x),\qquad(x\rightarrow-1^{+}), (211)
y(x)ln(Δ)2x,(x0).y(x)\sim\frac{\ln(\Delta)}{2x},\qquad(x\rightarrow 0). (212)

Considering the negative velocities x<0x<0, we note that y0y\geq 0 iff xx0x\leq x_{0} with

x0=1Δ1+Δ.x_{0}=\frac{1-\Delta}{1+\Delta}. (213)

Considering the positive velocities x>0x>0, we note that the curve y(x)y(x) is minimum at x=xx=x_{*} where xx_{*} is solution of

2x1x2ln(1+x1x)=ln(Δ).\frac{2x_{*}}{1-x_{*}^{2}}-\ln\left(\frac{1+x_{*}}{1-x_{*}}\right)=\ln(\Delta). (214)

This function is represented in Fig. 18. We note that Eq. (214) has a unique solution xx_{*} for each value of Δ>1\Delta>1. Therefore, the function y(x)y(x) has a single minimum at x=xx=x_{*}. The value of this minimum is

y=11x2>1.y_{*}=\frac{1}{1-x_{*}^{2}}>1. (215)

The extrema of the distribution f(V)f(V) can be determined from the study of the function (209). If y<yy<y_{*}, the distribution f(V)f(V) has a single maximum at V0=V<0V_{0}=V_{-}<0. If y>yy>y_{*}, the distribution f(V)f(V) has two maxima at V0=V<0V_{0}=V_{-}<0 and V0=V+>0V_{0}=V_{+}>0 and one minimum at V0=Vp>0V_{0}=V_{p}>0. These different values are given by V0=Vay1(Va2)V_{0}=V_{a}y^{-1}(V_{a}^{2}).

Refer to caption
Figure 16: Asymmetric double-humped distribution made of two Mawellians with separation yy and asymmetry Δ>1\Delta>1. If y>yy>y_{*}, the DF has one global maximum at V0=V<0V_{0}=V_{-}<0, a minimum at V0=Vp>0V_{0}=V_{p}>0 and a local maximum at V0=V+>0V_{0}=V_{+}>0. If y<yy<y_{*}, the DF has only one maximum at V0=V<0V_{0}=V_{-}<0.
Refer to caption
Figure 17: The function y(x)y(x) for the asymmetric double-humped distribution.
Refer to caption
Figure 18: Evolution of xx_{*}, yy_{*}, xcx_{c} and ycy_{c} as a function of Δ\Delta. The curves intersect each other at Δ=3.3105\Delta_{*}=3.3105.

In conclusion, for a given asymmetry Δ>1\Delta>1 and temperature TT:

\bullet if y>yy>y_{*}, the distribution function f(V)f(V) has a global maximum at V0=V<0V_{0}=V_{-}<0, a local maximum at V0=V+>0V_{0}=V_{+}>0 and one minimum at V0=Vp>0V_{0}=V_{p}>0.

\bullet if y<yy<y_{*}, the distribution function f(V)f(V) has only one maximum at V0=V<0V_{0}=V_{-}<0.

7.2 The condition of marginal stability

The dielectric function associated to the asymmetric double-humped distribution is

ϵ(Ω)=1η1+Δ[W(ηΩy))+ΔW(ηΩ+y))],\displaystyle\epsilon(\Omega)=1-\frac{\eta}{1+\Delta}\left[W(\sqrt{\eta}\Omega-\sqrt{y}))+\Delta W(\sqrt{\eta}\Omega+\sqrt{y}))\right],

where W(z)W(z) is defined in Eq. (106). When Ωi=0\Omega_{i}=0, the real and imaginary parts of the dielectric function ϵ(η,Ωr)=ϵr(η,Ωr)+iϵi(η,Ωr)\epsilon(\eta,\Omega_{r})=\epsilon_{r}(\eta,\Omega_{r})+i\epsilon_{i}(\eta,\Omega_{r}) can be written

ϵr(η,Ωr)=1η1+Δ[Wr(ηΩry))\displaystyle\epsilon_{r}(\eta,\Omega_{r})=1-\frac{\eta}{1+\Delta}[W_{r}(\sqrt{\eta}\Omega_{r}-\sqrt{y}))
+ΔWr(ηΩr+y))],\displaystyle+\Delta W_{r}(\sqrt{\eta}\Omega_{r}+\sqrt{y}))], (217)
ϵi(η,Ωr)=η1+Δ[Wi(ηΩry))\displaystyle\epsilon_{i}(\eta,\Omega_{r})=-\frac{\eta}{1+\Delta}[W_{i}(\sqrt{\eta}\Omega_{r}-\sqrt{y}))
+ΔWi(ηΩr+y))],\displaystyle+\Delta W_{i}(\sqrt{\eta}\Omega_{r}+\sqrt{y}))], (218)

where Wr(z)W_{r}(z) and Wi(z)W_{i}(z) are defined in Eqs. (128)-(129) where zz is here a real number. The condition of marginal stability corresponds to ϵr(η,Ωr)=ϵi(η,Ωr)=0\epsilon_{r}(\eta,\Omega_{r})=\epsilon_{i}(\eta,\Omega_{r})=0. The condition ϵi(η,Ωr)=0\epsilon_{i}(\eta,\Omega_{r})=0 is equivalent to

f(ηΩr)=0.f^{\prime}(\sqrt{\eta}\Omega_{r})=0. (219)

The condition ϵr(η,Ωr)=0\epsilon_{r}(\eta,\Omega_{r})=0 leads to

1η1+Δ[Wr(ηΩry))+ΔWr(ηΩr+y))]=0.\displaystyle 1-\frac{\eta}{1+\Delta}\left[W_{r}(\sqrt{\eta}\Omega_{r}-\sqrt{y}))+\Delta W_{r}(\sqrt{\eta}\Omega_{r}+\sqrt{y}))\right]=0.

According to Eq. (219), the phase velocity ηΩr\sqrt{\eta}\Omega_{r} is equal to a velocity V0V_{0} at which the distribution (205) is extremum. The second equation (7.2) determines the value(s) ηc(y)\eta_{c}(y) of the wavenumber at which the distribution is marginally stable. Therefore, we have to solve

1η1+Δ[Wr(V0y))+ΔWr(V0+y))]=0,\displaystyle 1-\frac{\eta}{1+\Delta}\left[W_{r}(V_{0}-\sqrt{y}))+\Delta W_{r}(V_{0}+\sqrt{y}))\right]=0,

where V0V_{0} is given by

1=12yV0ln(y+V0yV0)+ln(Δ)2yV0.1=\frac{1}{2\sqrt{y}V_{0}}\ln\left(\frac{\sqrt{y}+V_{0}}{\sqrt{y}-V_{0}}\right)+\frac{\ln(\Delta)}{2\sqrt{y}V_{0}}. (222)

Eliminating V0V_{0} between these two expressions yields the critical wavenumber(s) ηc(y)\eta_{c}(y) as a function of yy. However, it is easier to proceed differently. Setting x=V0/yx=V_{0}/\sqrt{y}, we obtain the equations

y=12xln(1+x1x)+ln(Δ)2x,y=\frac{1}{2x}\ln\left(\frac{1+x}{1-x}\right)+\frac{\ln(\Delta)}{2x}, (223)
η=1+Δ[Wr(y(x1))+ΔWr(y(x+1))].\eta=\frac{1+\Delta}{\left[W_{r}(\sqrt{y}(x-1))+\Delta W_{r}(\sqrt{y}(x+1))\right]}. (224)

For given xx, we can obtain yy from Eq. (223) [see also Fig. 17] and η\eta from Eq. (224). Varying xx in the interval ]1,1[]-1,1[ yields the full curve ηc(y)\eta_{c}(y). We have three types of solutions. For x]1,x0]x\in]-1,x_{0}], we obtain a branch ηc()(y)\eta_{c}^{(-)}(y) where the pulsation of the marginal mode is negative: Ωr=V/ηc<0\Omega_{r}=V_{-}/\sqrt{\eta_{c}}<0 corresponding to the global maximum of f(v)f(v). For x]0,x]x\in]0,x_{*}], we obtain a branch ηc(p)(y)\eta_{c}^{(p)}(y) where the pulsation of the marginal mode is positive: Ωr=Vp/ηc>0\Omega_{r}=V_{p}/\sqrt{\eta_{c}}>0 corresponding to the minimum of f(v)f(v). For x[x,1[x\in[x_{*},1[, we obtain a branch ηc(+)(y)\eta_{c}^{(+)}(y) where the pulsation of the marginal mode is positive: Ωr=V+/ηc>0\Omega_{r}=V_{+}/\sqrt{\eta_{c}}>0 corresponding to the local maximum of f(v)f(v). This leads to the curves reported in Figs. 19 and 20 for two values of the asymmetry factor Δ\Delta.

For x1x\rightarrow-1, y+y\rightarrow+\infty and

ηc()(y)=1+ΔΔ+1+Δ4Δ2y+(y+).\eta_{c}^{(-)}(y)=\frac{1+\Delta}{\Delta}+\frac{1+\Delta}{4\Delta^{2}y}+...\qquad(y\rightarrow+\infty). (225)

For xx0x\rightarrow x_{0}, y0y\rightarrow 0 and

ηc()(y)1(y0).\eta_{c}^{(-)}(y)\rightarrow 1\qquad(y\rightarrow 0). (226)

This returns the critical wavenumber (130) associated with the Maxwellian distribution (102) corresponding to y=0y=0. For x1x\rightarrow 1, y+y\rightarrow+\infty and

ηc(+)(y)1+Δ+Δ(1+Δ)4y+(y+).\eta_{c}^{(+)}(y)\sim 1+\Delta+\frac{\Delta(1+\Delta)}{4y}+...\qquad(y\rightarrow+\infty). (227)

Let xcx_{c} and ycy_{c} be determined by the equations

yc=12xcln(1+xc1xc)+ln(Δ)2xc,y_{c}=\frac{1}{2x_{c}}\ln\left(\frac{1+x_{c}}{1-x_{c}}\right)+\frac{\ln(\Delta)}{2x_{c}}, (228)
Wr(yc(xc1))+ΔWr(yc(xc+1))=0.W_{r}(\sqrt{y_{c}}(x_{c}-1))+\Delta W_{r}(\sqrt{y_{c}}(x_{c}+1))=0. (229)

For xxcx\rightarrow x_{c}, yycy\rightarrow y_{c} and

ηc(s)(y)1yyc+(yyc),\eta_{c}^{(s)}(y)\propto\frac{1}{y-y_{c}}\rightarrow+\infty\qquad(y\rightarrow y_{c}), (230)

where s=ps=p if Δ<Δ\Delta<\Delta_{*} and s=+s=+ if Δ>Δ\Delta>\Delta_{*} as will become clear below. Note that there is no physical solution to Eqs. (223)-(224) when 0<x<xc0<x<x_{c} (η\eta would be negative) so that the branch ηc(s)(y)\eta_{c}^{(s)}(y) starts at (yc,+)(y_{c},+\infty) corresponding to x=xcx=x_{c}. The evolution of xcx_{c} and ycy_{c} with Δ\Delta is studied in Fig. 18 and is compared to the evolution of xx_{*} and yy_{*}. The curves intersect each other at Δ=3.3105\Delta_{*}=3.3105. For Δ<Δ\Delta<\Delta_{*}, xc<xx_{c}<x_{*} so that the stability diagram displays three marginal branches ηc()(y)\eta_{c}^{(-)}(y), ηc(p)(y)\eta_{c}^{(p)}(y) and ηc(+)(y)\eta_{c}^{(+)}(y) (see Fig. 19). The branches ηc(p)(y)\eta_{c}^{(p)}(y) and ηc(+)(y)\eta_{c}^{(+)}(y) connect each other at (y,η)(y_{*},\eta_{*}) corresponding to x=xx=x_{*}. At that point they touch the line y=yy=y_{*} separating distributions with one or two maxima. For Δ=Δ\Delta=\Delta_{*}, xc=xx_{c}=x_{*} so that the branch ηc(p)(y)\eta_{c}^{(p)}(y) is rejected to infinity and only the branches ηc()(y)\eta_{c}^{(-)}(y) and ηc(+)(y)\eta_{c}^{(+)}(y) remain. For Δ>Δ\Delta>\Delta_{*}, xc>xx_{c}>x_{*} so that the phase diagram displays only two marginal branches ηc()(y)\eta_{c}^{(-)}(y) and ηc(+)(y)\eta_{c}^{(+)}(y) (see Fig. 20).

7.3 The stability diagram

The critical wavenumbers ηc(y)\eta_{c}(y) corresponding to marginal stability determined previously are represented as a function of the separation yy in Figs. 19 and 20 for two values of the asymmetry factor Δ\Delta. We recall that ηc()(y)\eta_{c}^{(-)}(y) corresponds to the wavenumber associated with a marginal mode with pulsation Ωr=V/ηc<0\Omega_{r}=V_{-}/\sqrt{\eta_{c}}<0 (global maximum of ff), ηc(p)(y)\eta_{c}^{(p)}(y) corresponds to the wavenumber associated with a marginal mode with pulsation Ωr=Vp/ηc>0\Omega_{r}=V_{p}/\sqrt{\eta_{c}}>0 (minimum of ff) and ηc(+)(y)\eta_{c}^{(+)}(y) corresponds to the wavenumber associated with a marginal mode with pulsation Ωr=V+/ηc>0\Omega_{r}=V_{+}/\sqrt{\eta_{c}}>0 (local maximum of ff). We have also plotted the line y=yy=y_{*}. On the left of this line, the DF has a single maximum at V<0V_{-}<0 and on the right of this line, the DF has two maxima at V<0V_{-}<0 and V+>0V_{+}>0 and a minimum at Vp>0V_{p}>0. In order to investigate the stability of the solutions in the different regions of the parameter space, we have used the Nyquist criterion. The description of the stability diagram is similar to the one given in Sec. 6.3 and the different possible cases can be understood directly from the reading of Figs. 19 and 20. The best way is to fix yy and progressively increase the value of η\eta. For y<yy<y_{*}, the distribution has only one maximum at V0=VV_{0}=V_{-} so the Nyquist curve has one intersection with the xx-axis (in addition to the limit point (1,0)(1,0)). For η0\eta\rightarrow 0, we find that ϵr(V)>0\epsilon_{r}(V_{-})>0 so the system is stable. As we increase η\eta and pass above the solid line, we find that ϵr(V)<0\epsilon_{r}(V_{-})<0 so the system is unstable. For y>yy>y_{*}, the distribution has two maxima at V0=VV_{0}=V_{-} and V0=V+V_{0}=V_{+} and one minimum at V0=VpV_{0}=V_{p}. At each intersection with a marginal line, one of the values ϵr(V)\epsilon_{r}(V_{-}), ϵr(Vp)\epsilon_{r}(V_{p}) or ϵr(V+)\epsilon_{r}(V_{+}) changes sign. We have indicated by symbols like (++)(-++) the respective signs of ϵr(V)\epsilon_{r}(V_{-}), ϵr(Vp)\epsilon_{r}(V_{p}) and ϵr(V+)\epsilon_{r}(V_{+}). We can then easily draw by hands the corresponding Nyquist curve. Therefore, it is not necessary to show all the possibilities and we have only indicated a few representative cases in Figs. 21-24 for illustration.

Refer to caption

Figure 19: Stability diagram of the asymmetric double-humped distribution for Δ<Δ\Delta<\Delta_{*} (specifically Δ=1.02\Delta=1.02). There exists three marginal branches ηc()(y)\eta_{c}^{(-)}(y), ηc(p)(y)\eta_{c}^{(p)}(y) and ηc(+)(y)\eta_{c}^{(+)}(y). The symbols have been defined in the text.

Refer to caption

Figure 20: Stability diagram of the asymmetric double-humped distribution for Δ>Δ\Delta>\Delta_{*} (specifically Δ=10\Delta=10). There exists two marginal branches ηc()(y)\eta_{c}^{(-)}(y) and ηc(+)(y)\eta_{c}^{(+)}(y).

Refer to caption

Figure 21: Δ<Δ\Delta<\Delta_{*}: Nyquist curve for y<y<ycy_{*}<y<y_{c} and η<ηc()\eta<\eta_{c}^{(-)} (specifically Δ=1.02\Delta=1.02, y=1.1y=1.1 and η=1\eta=1). The DF has a global maximum at VV_{-}, a minimum at VpV_{p} and a local maximum at V+V_{+}. The DF is stable (with respect to this perturbation) because the Nyquist curve does not encircle the origin. Case (+ + +).

Refer to caption

Figure 22: Δ<Δ\Delta<\Delta_{*}: Nyquist curve for y<y<ycy_{*}<y<y_{c} and ηc()<η<ηc(+)\eta_{c}^{(-)}<\eta<\eta_{c}^{(+)} (specifically Δ=1.02\Delta=1.02, y=1.1y=1.1 and η=3.436\eta=3.436). The DF has a global maximum at VV_{-}, a minimum at VpV_{p} and a local maximum at V+V_{+}. The DF is unstable (with respect to this perturbation) because the Nyquist curve encircles the origin once. There is N=1N=1 unstable mode. Case (- + +).

Refer to caption

Figure 23: Δ<Δ\Delta<\Delta_{*}: Nyquist curve for y<y<ycy_{*}<y<y_{c} and ηc(+)<η<ηc(p)\eta_{c}^{(+)}<\eta<\eta_{c}^{(p)} (specifically Δ=1.02\Delta=1.02, y=1.1y=1.1 and η=4\eta=4). The DF has a global maximum at VV_{-}, a minimum at VpV_{p} and a local maximum at V+V_{+}. The DF is unstable (with respect to this perturbation) because the Nyquist curve encircles the origin twice. There are N=2N=2 unstable modes. Case (- + -).

Refer to caption

Figure 24: Δ<Δ\Delta<\Delta_{*}: Nyquist curve for y<y<ycy_{*}<y<y_{c} and η>ηc(p)\eta>\eta_{c}^{(p)} (specifically Δ=1.02\Delta=1.02, y=1.1y=1.1 and η=6\eta=6). The DF has a global maximum at VV_{-}, a minimum at VpV_{p} and a local maximum at V+V_{+}. The DF is unstable (with respect to this perturbation) because the Nyquist curve encircles the origin once. There is N=1N=1 unstable mode. Case (- - -).

Remark: In Figs. 19 and 20, we see that the system is stable for perturbations with k>(kc)k>(k_{c})_{*} (corresponding to the solid line) and unstable for perturbations with k<(kc)k<(k_{c})_{*}. This critical wavenumber (kc)(k_{c})_{*} corresponds to a marginal perturbation where the phase velocity ω/k\omega/k coincides with the global maximum v0=vv_{0}=v_{-} of the velocity distribution.

8 The case of plasmas

We shall now compare the previous results obtained for self-gravitating systems to the case of plasmas.

8.1 A brief historic

The name plasma was introduced by Tonks & Langmuir (1929) to describe an ionised gas made of electrons and ions. They found that cold plasmas oscillate with a natural pulsation ωp=(4πρe2/m2)1/2\omega_{p}=(4\pi\rho e^{2}/m^{2})^{1/2}. In order to take into account thermal effects, plasmas were initially described in terms of hydrodynamic equations. A dispersion relation was derived by Thomson & Thomson (1933) for isothermal perturbations and by Gross (1951) for three dimensional adiabatic perturbations. However, fluid equations do not provide a good description of plasmas and rely on arbitrary assumptions concerning the perturbations (see van Kampen 1957). Indeed, plasmas are essentially collisionless so that a hydrodynamic description is not clearly justified. Vlasov (1938,1945) was the first to attempt to derive the dispersion relation directly from the collisionless Boltzmann equation (nowdays called the Vlasov equation). He obtained the expression of the pulsation ω(k)\omega(k) in the high wavelength limit303030The same result was derived in a different manner by Bohm & Gross (1949) and Jackson (1960).. However, Landau (1946) criticized his mathematical treatment showing that there are serious divergences in the integrals considered by Vlasov. Landau performed a rigorous mathematical study using an appropriate contour of integration in the complex plane and showed that the plasma undergoes damped oscillations. The pulsation is in agreement with the expression given by Vlasov but, in addition, the plasma undergoes collisionless damping (nowdays called Landau damping). Following Landau’s seminal work, several authors studied the stability of a plasma. They showed that single-humped distributions are always stable (Berz 1956, Appendix by W. Newcomb in Bernstein 1958, Auer 1958, Penrose 1960, Noerdlinger 1960, Jackson 1960). Then, they considered double humped distributions modeling two contrastreaming beams (Haeff 1949, Nergaard 1948, Pierce & Hebenstreit 1949) and determined particular conditions under which such distributions are unstable (Twiss 1952, Buneman 1958, Auer 1958, Kahn 1959, Buneman 1959, Penrose 1960, Noerdlinger 1960, Jackson 1960). They found qualitatively that the plasma becomes unstable when the stream velocity becomes sensibly larger than the thermal velocity.

After briefly recalling some classical results, we will provide a detailed study of the stability/instability of a double-humped distribution made of two Maxwellians. We shall complete the study of a symmetric double-humped distribution (by explicitly computing the range of unstable wavelengths) and consider for the first time the case of asymmetric double-humped distributions. We will show that the nature of the problem changes above a critical asymmetry Δ=3.3105\Delta_{*}=3.3105.

8.2 The Euler-Poisson system

We consider a plasma made of electrons with mass mm and charge e-e and ions with mass mim_{i} and charge +e+e. We assume the ions to be infinitely massive so that they do not contribute to the motion and only provide a neutralizing background. The fluid equations describing the motion of the electrons can be written

ρt+(ρ𝐮)=0,{\partial\rho\over\partial t}+\nabla\cdot(\rho{\bf u})=0, (231)
𝐮t+(𝐮)𝐮=1ρpΦ,{\partial{\bf u}\over\partial t}+({\bf u}\cdot\nabla){\bf u}=-{1\over\rho}\nabla p-\nabla\Phi, (232)
ΔΦ=4πe2m2(ρρi).\Delta\Phi=-\frac{4\pi e^{2}}{m^{2}}(\rho-\rho_{i}). (233)

These equations differ from the Euler-Poisson system (1)-(3) describing a self-gravitating barotropic gas only in the sign of the interaction and in the presence of a neutralizing background. This neutralizing background avoids the Jeans swindle since an infinite homogeneous distribution of electrons (ρ=cst\rho={\rm cst}, 𝐮=𝟎{\bf u}={\bf 0}, Φ=0\Phi=0) is a steady state of the fluid equations (231)-(233) provided that the condition of electroneutrality ρ=ρi\rho=\rho_{i} is satisfied.

Linearizing the Euler-Poisson system around an infinite homogeneous distribution of electrons and decomposing the perturbations in normal modes of the form ei(𝐤𝐫ωt)e^{i({\bf k}\cdot{\bf r}-\omega t)}, we obtain the dispersion relation (Nicholson 1992):

ω2=cs2k2+ωp2,\displaystyle\omega^{2}=c_{s}^{2}k^{2}+\omega_{p}^{2}, (234)

where cs2=p(ρ)c_{s}^{2}=p^{\prime}(\rho) is the velocity of sound and

ωp24πρe2m2,\displaystyle\omega_{p}^{2}\equiv\frac{4\pi\rho e^{2}}{m^{2}}, (235)

is the plasma pulsation. For an isothermal equation of state p=ρTp=\rho T, we get

ω2=Tk2+ωp2,\displaystyle\omega^{2}=Tk^{2}+\omega_{p}^{2}, (236)

and for a polytropic equation of state p=Kργp=K\rho^{\gamma}, we obtain

ω2=γTk2+ωp2.\displaystyle\omega^{2}=\gamma Tk^{2}+\omega_{p}^{2}. (237)

The dispersion relation (234) shows that a plasma described by fluid equations is always stable. For k=0k=0, the pulsation tends to a constant

ω=±ωp.\displaystyle\omega=\pm\omega_{p}. (238)

Therefore, in this limit of small wavenumbers, plasma oscillations do not propagate in space: ρ(𝐫,t)=ρ(𝐫,0)eiωpt\rho({\bf r},t)=\rho({\bf r},0)e^{-i\omega_{p}t}. This behavior is in marked contrast with all usual types of oscillating phenomena such as acoustic waves for which ω=ck\omega=ck. For large wavenumbers, the dispersion relation approaches that of sound waves: ω=±csk\omega=\pm c_{s}k.

Remark: Since δρδΦ𝑑𝐫=m24πe2(ΔδΦ)2𝑑𝐫>0\int\delta\rho\delta\Phi\,d{\bf r}=\frac{m^{2}}{4\pi e^{2}}\int(\Delta\delta\Phi)^{2}\,d{\bf r}>0 for a plasma, the second variations (12) of the energy functional (10) are always positive: δ2𝒲>0\delta^{2}{\cal W}>0. Therefore, the energy functional has a unique (global) minimum and the plasma is nonlinearly dynamically stable with respect to the barotropic Euler-Poisson system.

8.3 The Vlasov-Poisson system

The fluid equations are not very appropriate to describe a plasma because most plasmas are in a regime where the collisions between charges are negligible. Therefore, from now on, we shall describe Coulombian plasmas by the Vlasov-Poisson system

ft+𝐯f𝐫Φf𝐯=0,{\partial f\over\partial t}+{\bf v}\cdot{\partial f\over\partial{\bf r}}-\nabla\Phi\cdot{\partial f\over\partial{\bf v}}=0, (239)
ΔΦ=4πe2m2(ρρi),\Delta\Phi=-\frac{4\pi e^{2}}{m^{2}}(\rho-\rho_{i}), (240)

which ignores collisions between charges. These equations are similar to the Vlasov-Poisson system (33)-(34) describing collisionless stellar systems except that the sign of the interaction is reversed and that there is a neutralizing background. We shall investigate the linear dynamical stability of an infinite homogeneous medium. Therefore, we consider stationary solutions of the Vlasov equation of the form f=f(𝐯)f=f({\bf v}). The dispersion relation can be written (Nicholson 1992):

ϵ(k,ω)14πe2m2k2Cf(v)vωk𝑑v=0.\displaystyle\epsilon(k,\omega)\equiv 1-{4\pi e^{2}\over m^{2}k^{2}}\int_{C}{{f^{\prime}(v)}\over v-\frac{\omega}{k}}dv=0. (241)

As in Sec. 3.3, we have taken 𝐤{\bf k} along the zz-axis and noted vv for vzv_{z} and f(v)f(v) for f(𝐯)𝑑vx𝑑vy\int f({\bf v})\,dv_{x}dv_{y}.

In general, the dispersion relation (241) cannot be solved explicitly to obtain ω(k)\omega(k) except in some very simple cases. For example, for cold systems described by the distribution function f=ρδ(vv0)f=\rho\delta({v}-{v}_{0}), we obtain after an integration by parts

ω=v0k±ωp.\displaystyle\omega=v_{0}k\pm\omega_{p}. (242)

In particular, when v0=0v_{0}=0, we get

ω=±ωp.\displaystyle\omega=\pm\omega_{p}. (243)

The system is stable to all wavenumbers. We also note that the dispersion relation (243) coincides with the dispersion relation (234) obtained with fluid equations with cs=0c_{s}=0.

Let us briefly recall important properties of the dispersion relation (241) obtained in plasma physics (Balescu 1963, Nicholson 1992). We consider a symmetric distribution and write the complex pulsation in the form ω=ωr+iωi\omega=\omega_{r}+i\omega_{i}. When ωiωr\omega_{i}\ll\omega_{r} (weakly damped perturbations), the complex pulsation is given by313131A more accurate expression (Jackson 1960, Nicholson 1992) is obtained by replacing f(ωp/k)f^{\prime}(\omega_{p}/k) by f(ωr/k)f^{\prime}(\omega_{r}/k). This introduces a factor e3/2e^{3/2} in the Landau formula (245).

ωr2=ωp2+3Tk2,ωi=πωp32ρk2f(ωpk),\displaystyle\omega_{r}^{2}=\omega_{p}^{2}+3Tk^{2},\qquad\omega_{i}=\frac{\pi\omega_{p}^{3}}{2\rho k^{2}}f^{\prime}\left(\frac{\omega_{p}}{k}\right), (244)

with T=v2T=\langle v^{2}\rangle (where we recall that v=vzv=v_{z} in the present case). These relations are valid for k/kD1k/k_{D}\ll 1. The real part of the pulsation satisfies a dispersion relation of the form (307) with cs2=3Tc_{s}^{2}=3T. Therefore, large wavelengths perturbations in a collisionless plasma correspond to one dimensional isentropic perturbations with index γ=3\gamma=3 in a gas (see Appendix B). This relation dispersion is called the Langmuir wave dispersion relation (Nicholson 1992). On the other hand, when f(ωp/k)<0f^{\prime}(\omega_{p}/k)<0, the expression of the imaginary part of the pulsation corresponds to Landau damping. If f(v)0f^{\prime}(v)\leq 0 for all v0v\geq 0, as for the Maxwellian, the plasma is stable. For the Maxwell distribution, we get the Landau formula

ωi=π8ωp(kDk)3ekD22k2,\displaystyle\omega_{i}=-\sqrt{\frac{\pi}{8}}\omega_{p}\left(\frac{k_{D}}{k}\right)^{3}e^{-\frac{k_{D}^{2}}{2k^{2}}}, (245)

for the damping rate, where we have introduced the Debye wavenumber

kD24πe2βρm2=βωp2,\displaystyle k_{D}^{2}\equiv\frac{4\pi e^{2}\beta\rho}{m^{2}}=\beta\omega_{p}^{2}, (246)

where β=1/T\beta=1/T is the inverse temperature. Alternatively, if there exists wavenumbers kk such that f(ωp/k)>0f^{\prime}(\omega_{p}/k)>0, the perturbation grows and the plasma is unstable. Since the expression (244) is valid for small kk, this implies that f(v)f^{\prime}(v) must be positive for large velocities. This corresponds for example to the “bump-on-tail” situation analyzed in plasma physics (Nicholson 1992). The dispersion relation (244)-a was first obtained by Vlasov (1938,1945). However, the derivation given by Vlasov was not rigorous since he evaluated the integral (241) on the real axis on which there is a singularity. Landau (1946) performed a rigorous mathematical study and showed that, in addition to the oscillations, the waves must be damped exponentially leading to equation (244)-b for the damping rate. It is interesting to note that the Langmuir wave dispersion relation (244)-a is rather independent on the precise form of the distribution function (it depends only on the variance T=v2T=\langle v^{2}\rangle) while the Landau damping (244)-b is very sensitive to the distribution function. For example, the expression of Landau damping for polytropic distributions is given by (see Appendix E of Chavanis & Delfini 2009):

ωi=π8Bnωp(kDk)3(n12)1n+1\displaystyle\omega_{i}=-\sqrt{\frac{\pi}{8}}B_{n}\omega_{p}\left(\frac{k_{D}}{k}\right)^{3}\left(n-\frac{1}{2}\right)\frac{1}{n+1}
×[1kD22(n+1)k2]+n3/2.\displaystyle\times\left[1-\frac{k_{D}^{2}}{2(n+1)k^{2}}\right]_{+}^{n-3/2}. (247)

When ωrωi\omega_{r}\ll\omega_{i} (heavily damped perturbations), the pulsation is given for the Maxwellian distribution by

ωr=±mπωp2kDklnk,ωi=2ωpkDklnk.\displaystyle\omega_{r}=\pm m\frac{\pi\omega_{p}}{2k_{D}}\frac{k}{\sqrt{\ln k}},\qquad\omega_{i}=-\frac{2\omega_{p}}{k_{D}}k\sqrt{\ln k}. (248)

These expressions are valid for k/kD+k/k_{D}\rightarrow+\infty. There exists several branches of solutions parameterized by the odd integer mm (but the branch m=1m=1 is the most relevant). Expression (248) of the complex pulsation was first obtained by Landau (1946). The evolution of ωr(k)\omega_{r}(k) and ωi(k)\omega_{i}(k) with kk for a Maxwellian distribution are represented in Fig. 3 of Jackson (1960) and it can be compared with Fig. 2 for stellar systems. For small kk, the damping is weak but it increases rapidly for increasing wavenumbers so that the waves are never observed at sufficiently large wavenumbers.

Remark: Let us consider a plasma with a DF of the form f=f(v2)f=f(v^{2}) with f<0f^{\prime}<0. Since δρδΦ𝑑𝐫>0\int\delta\rho\delta\Phi\,d{\bf r}>0 for a plasma, the second variations (37) of the constrained pseudo entropy (35) are always negative: δ2S0\delta^{2}{S}\leq 0. Therefore, the pseudo entropy has a unique (global) maximum at fixed mass and energy and the plasma is nonlinearly dynamically stable. These variational technics were introduced in the plasma literature by W. Newcomb in Bernstein (1958) and Gardner (1963); see also the review of Holm et al. (1985).

8.4 The condition of marginal stability

When ωi=0\omega_{i}=0, the real and imaginary parts of the dielectric function ϵ(k,ωr)=ϵr(k,ωr)+iϵi(k,ωr)\epsilon(k,\omega_{r})=\epsilon_{r}(k,\omega_{r})+i\epsilon_{i}(k,\omega_{r}) are

ϵr(k,ωr)=14πe2m2k2P+f(v)vωrk𝑑v,\displaystyle\epsilon_{r}(k,\omega_{r})=1-{4\pi e^{2}\over m^{2}k^{2}}{P}\int_{-\infty}^{+\infty}{{f^{\prime}(v)}\over v-\frac{\omega_{r}}{k}}dv, (249)
ϵi(k,ωr)=4π2e2m2k2f(ωr/k).\displaystyle\epsilon_{i}(k,\omega_{r})=-{4\pi^{2}e^{2}\over m^{2}k^{2}}f^{\prime}(\omega_{r}/k). (250)

The condition of marginal stability corresponds to ϵ(k,ω)=0\epsilon(k,\omega)=0 and ωi=0\omega_{i}=0, i.e. ϵr(k,ωr)=ϵi(k,ωr)=0\epsilon_{r}({k},\omega_{r})=\epsilon_{i}({k},\omega_{r})=0. We obtain therefore the equations

14πe2m2k2P+f(v)vωr/k𝑑v=0,\displaystyle 1-\frac{4\pi e^{2}}{m^{2}k^{2}}P\int_{-\infty}^{+\infty}{f^{\prime}(v)\over{v}-{\omega_{r}}/{k}}d{v}=0, (251)
f(ωr/k)=0.\displaystyle f^{\prime}\left({\omega_{r}}/{k}\right)=0. (252)

The second condition (252) imposes that the phase velocity ωr/k=vext\omega_{r}/k=v_{ext} is equal to a velocity where f(v)f(v) is extremum (f(vext)=0f^{\prime}(v_{ext})=0). The first condition (251) then determines the wavenumber(s) corresponding to marginal stability. It can be written

kc=(4πe2m2+f(v)vvext𝑑v)1/2.\displaystyle k_{c}=\left(\frac{4\pi e^{2}}{m^{2}}\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v-v_{ext}}\,dv\right)^{1/2}. (253)

Finally, the pulsation(s) corresponding to marginal stability are ωr=vextkc\omega_{r}=v_{ext}k_{c} and the perturbation behaves like δfeiωrt\delta f\sim e^{-i\omega_{r}t}.

8.5 Particular solutions of ϵ(k,ω)=0\epsilon(k,\omega)=0

We can look for a solution of the dispersion relation ϵ(k,ω)=0\epsilon(k,\omega)=0 in the form ω=iωi\omega=i\omega_{i} corresponding to ωr=0\omega_{r}=0. In that case, the perturbation grows (ωi>0\omega_{i}>0) or decays (ωi<0\omega_{i}<0) without oscillating. Like in Sec. 3.8, we shall assume that f(v)f(v) is an even function. For ωi>0\omega_{i}>0, the growth rate is given by

14πe2m2k2+vf(v)v2+ωi2k2𝑑v=0.\displaystyle 1-{4\pi e^{2}\over m^{2}k^{2}}\int_{-\infty}^{+\infty}\frac{vf^{\prime}(v)}{v^{2}+\frac{\omega_{i}^{2}}{k^{2}}}\,dv=0. (254)

For ωi<0\omega_{i}<0, the decay rate is given by

14πe2m2k2+vf(v)v2+ωi2k2𝑑vi8π2e2m2k2f(iωik)=0.\displaystyle 1-{4\pi e^{2}\over m^{2}k^{2}}\int_{-\infty}^{+\infty}\frac{vf^{\prime}(v)}{v^{2}+\frac{\omega_{i}^{2}}{k^{2}}}\,dv-i\frac{8\pi^{2}e^{2}}{m^{2}k^{2}}f^{\prime}\left(\frac{i\omega_{i}}{k}\right)=0. (255)

Let us assume that the distribution satisfies

+f(v)v𝑑v>0.\displaystyle\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv>0. (256)

This is not the generic case. For example, the Maxwell distribution does not satisfy this inequality. If inequality (256) is satisfied, then the marginal mode ω=0\omega=0 corresponds to the critical wavenumber

kc=(4πe2m2+f(v)v𝑑v)1/2.\displaystyle k_{c}=\left({4\pi e^{2}\over m^{2}}\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv\right)^{1/2}. (257)

Furthermore, repeating the steps of Sec. 3.8, we obtain for kkck\rightarrow k_{c} that323232In the derivation, we have assumed that f′′(0)0f^{\prime\prime}(0)\neq 0. If f′′(0)=0f^{\prime\prime}(0)=0, we need to develop the Taylor expansion to the next order.

ωi=kc3m24π2e2f′′(0)(1k2kc2),(kkc).\displaystyle\omega_{i}=\frac{k_{c}^{3}m^{2}}{4\pi^{2}e^{2}f^{\prime\prime}(0)}\left(1-\frac{k^{2}}{k_{c}^{2}}\right),\qquad(k\rightarrow k_{c}). (258)

This formula leads to the following result. If the distribution is maximum at v=0v=0, so that f′′(0)<0f^{\prime\prime}(0)<0, we find that the mode ω=iωi\omega=i\omega_{i} is stable for k<kck<k_{c} and unstable for k>kck>k_{c}. Alternatively, if the distribution is minimum at v=0v=0, so that f′′(0)>0f^{\prime\prime}(0)>0, we find that the mode ω=iωi\omega=i\omega_{i} is stable for k>kck>k_{c} and unstable for k<kck<k_{c}. This result will be illustrated in connection to Fig. 26 for the symmetric double humped distribution. Note that this result implies that a symmetric distribution satisfying inequality (256) is always unstable (to some wavenumbers).

8.6 The Nyquist method

To apply the Nyquist method333333Nyquist (1932) introduced his graphical method in relation to servomechanism theory. His method was first applied to plasma physics by Harris (1959), Penrose (1960) and Jackson (1960)., we have to plot the curve (ϵr(k,ωr),ϵi(k,ωr))(\epsilon_{r}(k,\omega_{r}),\epsilon_{i}(k,\omega_{r})) parameterized by ωr\omega_{r} going from -\infty to ++\infty (for a fixed wavenumber kk). Let us consider the asymptotic behavior for ωr±\omega_{r}\rightarrow\pm\infty. Since f(v)f(v) is positive and tends to zero for v±v\rightarrow\pm\infty, we conclude that ϵi(k,ωr)0\epsilon_{i}(k,\omega_{r})\rightarrow 0 for ωr±\omega_{r}\rightarrow\pm\infty and that ϵi(k,ωr)<0\epsilon_{i}(k,\omega_{r})<0 for ωr\omega_{r}\rightarrow-\infty while ϵi(k,ωr)>0\epsilon_{i}(k,\omega_{r})>0 for ωr+\omega_{r}\rightarrow+\infty. On the other hand, for ωr±\omega_{r}\rightarrow\pm\infty, we obtain at leading order

ϵr(k,ωr)14π2e2ρm2ωr2,(ωr±).\displaystyle\epsilon_{r}(k,\omega_{r})\simeq 1-{4\pi^{2}e^{2}\rho\over m^{2}\omega_{r}^{2}},\qquad(\omega_{r}\rightarrow\pm\infty). (259)

From these results, we conclude that the behavior of the curve close to the point (1,0)(1,0) is like the one represented in Fig. 25. For ωr/k=vext\omega_{r}/k=v_{ext}, where vextv_{ext} is a velocity at which the distribution is extremum (f(vext)=0)(f^{\prime}(v_{ext})=0), the imaginary part of the dielectric function ϵi(k,kvext)=0\epsilon_{i}(k,kv_{ext})=0 and the real part of the dielectric function

ϵr(k,kvext)=14π2e2m2k2f(v)vvext𝑑v.\epsilon_{r}(k,kv_{ext})=1-{4\pi^{2}e^{2}\over m^{2}k^{2}}\int_{-\infty}^{\infty}\frac{f^{\prime}(v)}{v-v_{ext}}\,dv. (260)

Subtracting the value f(vext)=0f^{\prime}(v_{ext})=0 in the numerator of the integrand, and integrating by parts, we obtain

ϵr(k,kvext)=1+4π2e2m2k2+f(vext)f(v)(vvext)2𝑑v.\displaystyle\epsilon_{r}(k,kv_{ext})=1+{4\pi^{2}e^{2}\over m^{2}k^{2}}\int_{-\infty}^{+\infty}\frac{f(v_{ext})-f(v)}{(v-v_{ext})^{2}}\,dv. (261)

If vMaxv_{Max} denotes the velocity corresponding to the global maximum of the distribution, we clearly have

ϵr(k,kvMax)>1.\displaystyle\epsilon_{r}(k,kv_{Max})>1. (262)

8.6.1 Single-humped distributions

Let us assume that the distribution f(v)f(v) has a single maximum at v=v0v=v_{0} (so that f(v0)=0f^{\prime}(v_{0})=0) and tends to zero for v±v\rightarrow\pm\infty. Then, the Nyquist curve cuts the xx-axis (ϵi(k,ωr)\epsilon_{i}(k,\omega_{r}) vanishes) at the limit point (1,0)(1,0) when ωr±\omega_{r}\rightarrow\pm\infty and at the point (ϵr(k,kv0),0)(\epsilon_{r}(k,kv_{0}),0) when ωr/k=v0\omega_{r}/k=v_{0}. Due to its behavior close to the limit point (1,0)(1,0), the fact that it rotates in the counterclockwise sense, and the property that ϵr(k,kv0)>1\epsilon_{r}(k,kv_{0})>1 according to Eq. (262), the Nyquist curve must necessarily behave like in Fig. 25. Therefore, the Nyquist curve starts on the real axis at ϵr(k,ωr)=1\epsilon_{r}(k,\omega_{r})=1 for ωr\omega_{r}\rightarrow-\infty, then going in counterclockwise sense it crosses the real axis at the point ϵr(k,kv0)>1\epsilon_{r}(k,kv_{0})>1 and returns on the real axis at ϵr(k,ωr)=1\epsilon_{r}(k,\omega_{r})=1 for ωr+\omega_{r}\rightarrow+\infty. Therefore, it cannot encircle the origin. According to the Nyquist criterion exposed in Sec. 3.5, we conclude that a single-humped distribution is always linearly dynamically stable343434The fact that a single-humped distribution is always stable is known as Gardner (1963)’s theorem; see also Jackson (1960)..

Refer to caption

Figure 25: Nyquist curve for the Maxwell distribution. The DF is always stable.

Let us specifically consider the Maxwell distribution (102) for illustration. The dielectric function (241) associated to the Maxwell distribution is

ϵ(k,ω)=1+4πe2m2k2(β2π)1/2ρCβvvωkeβv22𝑑v.\displaystyle\epsilon(k,\omega)=1+\frac{4\pi e^{2}}{m^{2}k^{2}}\left(\frac{\beta}{2\pi}\right)^{1/2}\rho\int_{C}\frac{\beta v}{v-\frac{\omega}{k}}e^{-\beta{v^{2}\over 2}}\ dv. (263)

Introducing the Debye wavenumber (246), it can be rewritten

ϵ(k,ω)=1+kD2k2W(βωk).\displaystyle\epsilon({k},\omega)=1+{k_{D}^{2}\over k^{2}}W\biggl{(}{\sqrt{\beta}\omega\over k}\biggr{)}. (264)

It will be convenient in the following to work with dimensionless quantities. We introduce the dimensionless wavenumber and the dimensionless pulsation

η=kD2k2,Ω=ωωp.\displaystyle\eta=\frac{k_{D}^{2}}{k^{2}},\qquad\Omega=\frac{\omega}{\omega_{p}}. (265)

Noting that βω/k=ηΩ\sqrt{\beta}\omega/k=\sqrt{\eta}\Omega, the dielectric function (264) can be rewritten

ϵ(η,Ω)=1+ηW(ηΩ).\displaystyle\epsilon({\eta},\Omega)=1+\eta W(\sqrt{\eta}\Omega). (266)

When Ωi=0\Omega_{i}=0, the real and imaginary parts of the dielectric function ϵ(η,Ωr)=ϵr(η,Ωr)+iϵi(η,Ωr)\epsilon(\eta,\Omega_{r})=\epsilon_{r}(\eta,\Omega_{r})+i\epsilon_{i}(\eta,\Omega_{r}) are given by

ϵr(η,Ωr)=1+ηWr(ηΩr),\epsilon_{r}(\eta,\Omega_{r})=1+\eta W_{r}\left(\sqrt{\eta}\Omega_{r}\right), (267)
ϵi(η,Ωr)=ηWi(ηΩr).\epsilon_{i}(\eta,\Omega_{r})=\eta W_{i}\left(\sqrt{\eta}\Omega_{r}\right). (268)

The Nyquist curve for the Maxwell distribution is represented in Fig. 25.

On the other hand, if we consider a polytrope of index n=1/2n=1/2 (waterbag distribution) as in Sec. 5.5, we find that the dielectric function is given by

ϵ(k,ω)=1+kD23k2W1/2(ωkT),\displaystyle\epsilon(k,\omega)=1+\frac{k_{D}^{2}}{3k^{2}}W_{1/2}\left(\frac{\omega}{k\sqrt{T}}\right), (269)

where W1/2(x)W_{1/2}(x) is given by Eq. (175). The condition ϵ(k,ω)=0\epsilon(k,\omega)=0 determines the dispersion relation. We get

ω2=ωp2+3Tk2.\displaystyle\omega^{2}=\omega_{p}^{2}+3Tk^{2}. (270)

We note that, for the water-bag distribution, the general asymptotic behavior (244) becomes exact. We also note that for the specific index n=1/2n=1/2 (γ=3\gamma=3), the dispersion relation in a collisionless stellar system takes the same form as in a gas (see Sec. 8.2).

8.6.2 Double-humped distributions

Let us consider a double-humped distribution with a global maximum at vMaxv_{Max}, a minimum at vminv_{min} and a local maximum at vmaxv_{max}. We assume vMax<vmin<vmaxv_{Max}<v_{min}<v_{max}. The Nyquist curves starts at (1,0)(1,0), progresses in the counterclockwise sense and crosses the xx-axis at ϵr(vMax)>1\epsilon_{r}(v_{Max})>1, then at ϵr(vmin)\epsilon_{r}(v_{min}) and ϵr(vmax)\epsilon_{r}(v_{max}). We can convince ourselves by making drawings of the following results. If

(+++)(+++): ϵr(vMax)>0\epsilon_{r}(v_{Max})>0, ϵr(vmin)>0\epsilon_{r}(v_{min})>0, ϵr(vmax)>0\epsilon_{r}(v_{max})>0,

(+)(+--): ϵr(vMax)>0\epsilon_{r}(v_{Max})>0, ϵr(vmin)<0\epsilon_{r}(v_{min})<0, ϵr(vmax)<0\epsilon_{r}(v_{max})<0,

(++)(++-): ϵr(vMax)>0\epsilon_{r}(v_{Max})>0, ϵr(vmin)>0\epsilon_{r}(v_{min})>0, ϵr(vmax)<0\epsilon_{r}(v_{max})<0,

the Nyquist curve does not encircle the origin so the system is stable. If

(++)(+-+): ϵr(vMax)>0\epsilon_{r}(v_{Max})>0, ϵr(vmin)<0\epsilon_{r}(v_{min})<0, ϵr(vmax)>0\epsilon_{r}(v_{max})>0,

the Nyquist curve rotates one time around the origin so that there is one mode of instability. Since ϵr(vMax)>0\epsilon_{r}(v_{Max})>0 there is no mode of marginal stability with ωr/k=vMax\omega_{r}/k=v_{Max}. Cases (+++)(+++), (++)(+-+) and (+)(+--) are observed in Sec. 8.8 for an asymmetric double-humped distribution made of two Maxwellians.

If the double-humped distribution is symmetric with respect to the origin with two maxima at ±v\pm v_{*} and a minimum at v=0v=0, we get the same results as above with the additional properties ϵr(vMax)=ϵr(vmax)=ϵr(v)>1\epsilon_{r}(v_{Max})=\epsilon_{r}(v_{max})=\epsilon_{r}(v_{*})>1 and ϵr(vmin)=ϵr(0)\epsilon_{r}(v_{min})=\epsilon_{r}(0). We have only two cases (+++)(+++) and (++)(+-+). They are observed in Sec. 8.7 for a symmetric double-humped distribution made of two Maxwellians. Since ϵr(v)>0\epsilon_{r}(v_{*})>0, there is no mode of marginal stability with ωr/k=±v\omega_{r}/k=\pm v_{*}.

It can be shown that a plasma is unstable (to some wavelengths) iff f(v)f(v) has a minimum at a value v=vminv=v_{min} such that

+f(v)vvmin𝑑v=+f(v)f(vmin)(vvmin)2𝑑v>0.\displaystyle\int_{-\infty}^{+\infty}{{f^{\prime}(v)}\over v-v_{min}}dv=\int_{-\infty}^{+\infty}\frac{f(v)-f(v_{min})}{(v-v_{min})^{2}}\,dv>0. (271)

This result was proven by Penrose (1960) and it is sometimes called the Penrose criterion353535In fact, we found that an equivalent criterion was obtained at the same period by Noerdlinger (1960).. This criterion can be deduced from the Nyquist method as follows. A double-humped distribution f(v)f(v) is unstable if there exists a range of kk such that we are in the situation (++)(+-+), i.e. ϵr(vmin)<0\epsilon_{r}(v_{min})<0 and ϵr(vmax)>0\epsilon_{r}(v_{max})>0. The first condition can be satisfied (for sufficiently small kk) iff condition (271) is realized, which is the Penrose criterion. Then, the range of unstable wavenumbers is

4πe2m2+f(v)vvmax𝑑v<k2<4πe2m2+f(v)vvmin𝑑v.\displaystyle\frac{4\pi e^{2}}{m^{2}}\int_{-\infty}^{+\infty}{{f^{\prime}(v)}\over v-v_{max}}dv<k^{2}<\frac{4\pi e^{2}}{m^{2}}\int_{-\infty}^{+\infty}{{f^{\prime}(v)}\over v-v_{min}}dv.
(272)

If the first integral is negative, the range of unstable wavenumbers is k<kc(min)k<k_{c}^{(min)}. This corresponds to Fig. 31 and to the region y>ycy>y_{c} in Fig. 32. If the first integral is positive, the range of unstable wavenumbers is kc(max)<k<kc(min)k_{c}^{(max)}<k<k_{c}^{(min)}. This corresponds to the region y<y<ycy_{*}<y<y_{c} in Fig. 32 (indeed, ycy_{c} corresponds precisely to the case where the first integral becomes equal to zero).

8.7 The symmetric double-humped distribution

Let us now consider the symmetric double-humped distribution (184). In the plasma case, the dielectric function can be written

ϵ(η,Ω)=1+η2[W(ηΩy))+W(ηΩ+y))],\displaystyle\epsilon(\eta,\Omega)=1+\frac{\eta}{2}\left[W(\sqrt{\eta}\Omega-\sqrt{y}))+W(\sqrt{\eta}\Omega+\sqrt{y}))\right],

where η\eta (wavelength) and Ω\Omega (pulsation) are defined by Eq. (265) and yy (separation) is defined by Eq. (188). The condition of marginal stability corresponds to ϵ(k,ω)=0\epsilon(k,\omega)=0 and ωi=0\omega_{i}=0. The condition ϵi(k,ωr)=0\epsilon_{i}(k,\omega_{r})=0 is equivalent to f(ωr/k)=0f^{\prime}(\omega_{r}/k)=0 so that the phase velocity ωr/k=v0\omega_{r}/k=v_{0} corresponds to the velocities where the distribution is extremum. Then, the wavenumbers at which the distribution is marginally stable are obtained by solving ϵr(k,ωr=kv0)=0\epsilon_{r}(k,\omega_{r}=kv_{0})=0. Proceeding as in Sec. 6 and introducing the parameter x=V0/Vax=V_{0}/V_{a}, we find that the equations determining the critical wavenumbers ηc(y)\eta_{c}(y) are given by

y=12xln(1+x1x),y=\frac{1}{2x}\ln\left(\frac{1+x}{1-x}\right), (274)
η=2[Wr(y(x1))+Wr(y(x+1))].\eta=\frac{-2}{\left[W_{r}(\sqrt{y}(x-1))+W_{r}(\sqrt{y}(x+1))\right]}. (275)

We note that only the sign in Eq. (275) changes with respect to the study of the gravitational case, so we can readily adapt the results of Sec. 6 to the present situation by simply reverting the sign. For ηΩr=±V\sqrt{\eta}\Omega_{r}=\pm V_{*}, corresponding to x0x\neq 0, there is no physical solution to Eqs. (274)-(275) with positive η>0\eta>0. Therefore, in the plasma case, there is no marginal mode with non zero pulsation for the symmetric double-humped distribution (in agreement with the general discussion of Sec. 8.6.2). We now consider the marginal mode with Ωr=0\Omega_{r}=0. This corresponds to the “degenerate” solution x=0x=0 (for any yy) for which Eqs. (274)-(275) reduce to

ηc(0)(y)=1Wr(y).\eta_{c}^{(0)}(y)=\frac{-1}{W_{r}(\sqrt{y})}. (276)

According to Fig. 9, physical solutions exist only for yymax=zc2=1.708y\geq y_{max}=z_{c}^{2}=1.708. We note that the range of parameters that was forbidden in the gravitational case is now allowed in the plasma case and vice versa. For y<ymaxy<y_{max}, the system is stable. This result is to be expected since, for y=0y=0, the distribution (184) reduces to the Maxwellian that is stable for a repulsive interaction. We now consider the range y[ymax,+[y\in[y_{max},+\infty[. For yymaxy\rightarrow y_{max}, we have

ηc(0)(y)2ymaxyymax,(yymax).\eta_{c}^{(0)}(y)\sim\frac{2y_{max}}{y-y_{max}},\qquad(y\rightarrow y_{max}). (277)

On the other hand, the curve ηc(0)(y)\eta_{c}^{(0)}(y) has a minimum at (4.511,3.512)(4.511,3.512) (see Appendix A of Chavanis & Delfini 2009). Finally, for y+y\rightarrow+\infty, we have

ηc(0)(y)y+,(y+).\eta_{c}^{(0)}(y)\sim y\rightarrow+\infty,\qquad(y\rightarrow+\infty). (278)

Again this result is expected because, for y+y\rightarrow+\infty, the two humps do not “see” each other and behave as two independent single-humps distributions that are stable in the repulsive case.

The critical wavenumber ηc(0)(y)\eta_{c}^{(0)}(y) corresponding to marginal stability determined previously is represented as a function of the separation yy in Fig. 26. We have also plotted the line y=1y=1. On the left of this line, the distribution has a single maximum at V0=0V_{0}=0 and on the right, the distribution has two maxima at V0=±VV_{0}=\pm V_{*} and a minimum at V0=0V_{0}=0. In order to investigate the stability of the solutions in the different regions, we have used the Nyquist criterion.

Refer to caption

Figure 26: Stability diagram of the symmetric double-humped distribution (184) in the case of plasmas.

For y<1y<1, the DF has only one maximum at V0=0V_{0}=0. There is no marginal mode and the distribution is always stable (see Fig. 27).

Refer to caption

Figure 27: Nyquist curve for y<1y<1 (specifically y=0.5y=0.5 and η=6\eta=6). The DF is stable for any perturbation. Case (+).

For 1<y<ymax1<y<y_{max}, the DF has a minimum at V0=0V_{0}=0 and two maxima at ±V\pm V_{*}. There is no marginal mode and the distribution is always stable (see Figs. 28).

Refer to caption

Figure 28: Nyquist curve for 1<y<ymax1<y<y_{max} (specifically y=1.2y=1.2 and η=6\eta=6). The DF is stable for any perturbation. Case (+ + +).

For y>ymaxy>y_{max}, the distribution has a minimum at V0=0V_{0}=0 and two maxima at ±V\pm V_{*}. There exists one wavenumber ηc(0)\eta_{c}^{(0)} at which the distribution is marginally stable. For η=ηc(0)\eta=\eta_{c}^{(0)}, the marginal perturbation does not propagate (Ωr=0\Omega_{r}=0). By considering the Nyquist curves in this region (see Figs. 29-30), we find that the DF is stable for η<ηc(0)\eta<\eta_{c}^{(0)} and unstable for η>ηc(0)\eta>\eta_{c}^{(0)}.

Refer to caption

Figure 29: Nyquist curve for y>ymaxy>y_{max} and η<ηc(0)\eta<\eta_{c}^{(0)} (specifically y=5y=5 and η=2\eta=2). The DF is stable for this range of wavenumbers. Case (+ + +).

Refer to caption

Figure 30: Nyquist curve for y>ymaxy>y_{max} and η>ηc(0)\eta>\eta_{c}^{(0)} (specifically y=5y=5 and η=6\eta=6). There is one mode of instability in this range of wavenumbers. Case (- + -).

Let us make some remarks:

1. If we consider all possible perturbations, Fig. 26 shows that a symmetric double-humped distribution is stable if y<ymaxy<y_{max} (i.e. va<1.307T1/2v_{a}<1.307\,T^{1/2}) and unstable if y>ymaxy>y_{max} (i.e. va>1.307T1/2v_{a}>1.307\,T^{1/2}). Therefore, instability occurs when the drift velocity vav_{a} is sensibly larger than the thermal speed T\sqrt{T} so that the two humps are well separated. In particular, at T=0T=0, a double-humped distribution is always unstable to some wavelengths (see Appendix E). More precisely, a symmetric double-humped distribution with y>ymaxy>y_{max} is stable for perturbations with wavenumbers k>(kc)k>(k_{c})_{*} (corresponding to the solid line) and unstable for perturbations with wavenumbers k<(kc)k<(k_{c})_{*}. The critical wavenumber (kc)(k_{c})_{*} corresponds to the marginal perturbation for which the phase velocity ω/k\omega/k coincides with the minimum of the velocity distribution: v0=0v_{0}=0.

2. For y>ymaxy>y_{max}, the mode ω=iωi\omega=i\omega_{i} is stable for η<ηc(0)\eta<\eta_{c}^{(0)} and it becomes unstable when we increase η\eta above the marginal line η=ηc(0)\eta=\eta_{c}^{(0)}. This is consistent with the general result (258) since, for y>1y>1, the DF is minimum at v0=0v_{0}=0.

3. For a double-humped distribution, the critical wavelength is infinite for vaymaxTv_{a}\leq\sqrt{y_{max}T} (stable), then decreases, reaches a minimum and increases again. By contrast, if the plasma is modeled as a contrastreaming gas, the critical wavelength is infinite for va<csv_{a}<c_{s} (stable), then jumps discontinuously to zero at va=csv_{a}=c_{s} and increases for va>csv_{a}>c_{s} (Ikeuchi et al. 1974).

8.8 The asymmetric double-humped distribution

The dielectric function associated to the asymmetric double-humped distribution (205) in the plasma case is

ϵ(η,Ω)=1+η1+Δ[W(ηΩy))\displaystyle\epsilon(\eta,\Omega)=1+\frac{\eta}{1+\Delta}\biggl{[}W(\sqrt{\eta}\Omega-\sqrt{y}))
+ΔW(ηΩ+y))].\displaystyle+\Delta W(\sqrt{\eta}\Omega+\sqrt{y}))\biggr{]}. (279)

Proceeding as in Sec. 7 and introducing the parameters x=V0/Vax=V_{0}/V_{a} and y=Va2y=V_{a}^{2}, we find that the equations determining the critical wavenumbers ηc(y)\eta_{c}(y) are given by

y=12xln(1+x1x)+ln(Δ)2x,y=\frac{1}{2x}\ln\left(\frac{1+x}{1-x}\right)+\frac{\ln(\Delta)}{2x}, (280)
η=1+Δ[Wr(y(x1))+ΔWr(y(x+1))].\eta=-\frac{1+\Delta}{\left[W_{r}(\sqrt{y}(x-1))+\Delta W_{r}(\sqrt{y}(x+1))\right]}. (281)

Equation (280) determines the extrema of the distribution f(v)f(v) and Eq. (281) determines the wavenumbers corresponding to the modes of marginal stability. As in Sec. 7, the curve ηc(y)\eta_{c}(y) can be obtained by varying xx between 1-1 and +1+1. In the plasma case, there exists physical solutions with positive η\eta only for 0<xxc0<x\leq x_{c}. For x0+x\rightarrow 0^{+}, using Eq. (280), we find that y+y\rightarrow+\infty. Then, we get

ηc(p)(y)y+,(y+).\eta_{c}^{(p)}(y)\sim y\rightarrow+\infty,\qquad(y\rightarrow+\infty). (282)

For xxcx\rightarrow x_{c}, we find that yycy\rightarrow y_{c} and

ηc(s)(y)1yyc+,(yyc),\eta_{c}^{(s)}(y)\propto\frac{1}{y-y_{c}}\rightarrow+\infty,\qquad(y\rightarrow y_{c}), (283)

where s=ps=p if Δ<Δ\Delta<\Delta_{*} and s=+s=+ if Δ>Δ\Delta>\Delta_{*}. For Δ<Δ\Delta<\Delta_{*}, we get only one marginal branch ηc(p)(y)\eta_{c}^{(p)}(y) corresponding to the mode Ωr=Vp/ηc>0\Omega_{r}=V_{p}/\sqrt{\eta_{c}}>0 (see Fig. 31). For Δ>Δ\Delta>\Delta_{*}, we get two marginal branches ηc(p)(y)\eta_{c}^{(p)}(y) and ηc(+)(y)\eta_{c}^{(+)}(y) corresponding to the modes Ωr=Vp/ηc>0\Omega_{r}=V_{p}/\sqrt{\eta_{c}}>0 and Ωr=V+/ηc>0\Omega_{r}=V_{+}/\sqrt{\eta_{c}}>0 (see Fig. 32). They connect each other at (y,η)(y_{*},\eta_{*}) corresponding to x=xx=x_{*}. At that point they touch the line y=yy=y_{*} separating distributions with one or two maxima.

Refer to caption

Figure 31: Stability diagram of the asymmetric double-humped distribution for Δ<Δ\Delta<\Delta_{*} (specifically Δ=1.02\Delta=1.02). There exists one marginal branch ηc(p)(y)\eta_{c}^{(p)}(y).

Refer to caption

Figure 32: Stability diagram of the asymmetric double-humped distribution for Δ>Δ\Delta>\Delta_{*} (specifically Δ=50\Delta=50). There exists two marginal branches ηc(p)(y)\eta_{c}^{(p)}(y) and ηc(+)(y)\eta_{c}^{(+)}(y).

The stability diagrams corresponding to the asymmetric double-humped distribution with Δ<Δ\Delta<\Delta_{*} and Δ>Δ\Delta>\Delta_{*} are represented in Figs. 31 and 32. To investigate the stability of the solutions in the different regions of the parameter space, we have used the Nyquist criterion. If Δ<Δ\Delta<\Delta_{*}, the description of the stability diagram can be made in continuity with the case of a symmetric double-humped distribution: for y<ycy<y_{c} (i.e. va2<yc(Δ)Tv_{a}^{2}<y_{c}(\Delta)T), the plasma is stable to all perturbations; for y>ycy>y_{c} (i.e. va2>yc(Δ)Tv_{a}^{2}>y_{c}(\Delta)T), the plasma is stable for k>kc(p)(va)k>k_{c}^{(p)}(v_{a}) and unstable for k<kc(p)(va)k<k_{c}^{(p)}(v_{a}). If Δ>Δ\Delta>\Delta_{*}, the stability diagram changes: for y<yy<y_{*} (i.e. va2<y(Δ)Tv_{a}^{2}<y_{*}(\Delta)T), the plasma is stable to all perturbations; for y<y<ycy_{*}<y<y_{c} (i.e. y(Δ)T<va2<yc(Δ)Ty_{*}(\Delta)T<v_{a}^{2}<y_{c}(\Delta)T), the plasma is stable for k>kc(p)(va)k>k_{c}^{(p)}(v_{a}), unstable for kc(+)(va)<k<kc(p)(va)k_{c}^{(+)}(v_{a})<k<k_{c}^{(p)}(v_{a}) and stable for k<kc(+)(va)k<k_{c}^{(+)}(v_{a}): this is similar to a re-entrant phase; for y>ycy>y_{c} (i.e. va2>yc(Δ)Tv_{a}^{2}>y_{c}(\Delta)T), the plasma is stable for k>kc(p)(va)k>k_{c}^{(p)}(v_{a}) and unstable for k<kc(p)(va)k<k_{c}^{(p)}(v_{a}). In conclusion, instability occurs when the drift velocity is sensibly larger than the thermal speed so that the two humps are well separated. However, the precise threshold changes whether the asymmetry is smaller or larger than Δ\Delta_{*}. For Δ<Δ\Delta<\Delta_{*}, the plasma is stable iff va2<yc(Δ)Tv_{a}^{2}<y_{c}(\Delta)T and for Δ>Δ\Delta>\Delta_{*}, the plasma is stable iff va2<y(Δ)Tv_{a}^{2}<y_{*}(\Delta)T.

Refer to caption

Figure 33: Δ>Δ\Delta>\Delta_{*}: Nyquist curve for y<y<ycy_{*}<y<y_{c} and η<ηc(p)\eta<\eta_{c}^{(p)} (specifically Δ=50\Delta=50, y=5y=5 and η=5\eta=5). The DF has a global maximum at VV_{-}, a minimum at VpV_{p} and a local maximum at V+V_{+}. The DF is stable (with respect to this perturbation) because the Nyquist curve does not encircle the origin. Case (+ + +).

Refer to caption

Figure 34: Δ>Δ\Delta>\Delta_{*}: Nyquist curve for y<y<ycy_{*}<y<y_{c} and ηc(p)<η<ηc(+)\eta_{c}^{(p)}<\eta<\eta_{c}^{(+)} (specifically Δ=50\Delta=50, y=5y=5 and η=15\eta=15). The DF has a global maximum at VV_{-}, a minimum at VpV_{p} and a local maximum at V+V_{+}. The DF is unstable (with respect to this perturbation) because the Nyquist curve encircles the origin once. There is N=1N=1 unstable mode. Case (+ - +).

Refer to caption

Figure 35: Δ>Δ\Delta>\Delta_{*}: Nyquist curve for y<y<ycy_{*}<y<y_{c} and η>ηc(+)\eta>\eta_{c}^{(+)} (specifically Δ=50\Delta=50, y=5y=5 and η=30\eta=30). The DF has a global maximum at VV_{-}, a minimum at VpV_{p} and a local maximum at V+V_{+}. The DF is stable (with respect to this perturbation) because the Nyquist curve does not encircle the origin. Case (+ - -).

9 Conclusion

We have carried out an exhaustive study of the linear dynamical stability/instability of an infinite and homogeneous self-gravitating medium with respect to perturbations with wavenumber kk. This is the classical Jeans problem that describes the growth of perturbations and the emergence of structures (like stars and galaxies) in astrophysics and cosmology. We have considered the case of a collision-dominated gas described by the Euler equation or the case of a collisionless stellar system described by the Vlasov equation. In the latter case, we have studied single-humped distributions as well as symmetric and asymmetric double-humped distributions. We have used the Nyquist theorem to settle the stability of the system. Detailed stability diagrams in the (va,k)(v_{a},k) plane for different values of the asymmetry parameter Δ\Delta have been obtained. We have also derived general analytical results concerning the dispersion relation. Finally, we have studied the case of Coulombian plasmas in parallel. The general methods developed here to study the stability of a homogeneous self-gravitating medium can have applications in other domains, not necessarily astrophysics, where the system is described by the Euler or the Vlasov equations coupled to a mean field equation for the potential. One example is the HMF model (Chavanis & Delfini 2009). Although the structure of the problem is the same, the results and the stability diagrams differ because the potential of interaction is different. Many generalizations of our work are possible, changing the potential of interaction or the class of distribution functions, but the present paper provides many methods and analytical results that can be useful to investigate more general situations.

Appendix A Equivalence between the variational problems (38)(\ref{vh4}) and (11)(\ref{ep10})

The equivalence between the variational problems (38)(\ref{vh4}) and (11)(\ref{ep10}) has been discussed in previous works (Chavanis 2006a,2008b). We shall here provide a new derivation of this result. To that purpose, we shall show the equivalence between the stability conditions (12) and (39).

First of all, using the identities f(ϵ)=β/C′′(f)f^{\prime}(\epsilon)=-\beta/C^{\prime\prime}(f) (see Sec. 3.1) and p(ρ)=ρ/ρ(Φ)p^{\prime}(\rho)=-\rho/\rho^{\prime}(\Phi) (see Sec. 2.1), we can rewrite the second variations (39) and (12) in the form

δ2F=12(δf)2f(ϵ)𝑑𝐫𝑑𝐯+12δρδΦ𝑑𝐫,\displaystyle\delta^{2}F=-\frac{1}{2}\int\frac{(\delta f)^{2}}{f^{\prime}(\epsilon)}\,d{\bf r}d{\bf v}+\frac{1}{2}\int\delta\rho\delta\Phi\,d{\bf r}, (284)
δ2𝒲=12(δρ)2ρ(Φ)𝑑𝐫+12δρδΦ𝑑𝐫.\displaystyle\delta^{2}{\cal W}=-\frac{1}{2}\int\frac{(\delta\rho)^{2}}{\rho^{\prime}(\Phi)}\,d{\bf r}+\frac{1}{2}\int\delta\rho\delta\Phi\,d{\bf r}. (285)

We shall determine the perturbation δf(𝐫,𝐯)\delta f_{*}({\bf r},{\bf v}) that minimizes δ2F[δf]\delta^{2}F[\delta f] given by Eq. (284) with the constraint δρ=δf𝑑𝐯\delta\rho=\int\delta f\,d{\bf v}. Since the specification of δρ\delta\rho determines δΦ\delta\Phi, hence the second integral in Eq. (284), we can write the variational problem in the form

δ(12(δf)2f(ϵ)𝑑𝐫𝑑𝐯)λ(𝐫)δ(δf𝑑𝐯)𝑑𝐫=0,\displaystyle\delta\left(-\frac{1}{2}\int\frac{(\delta f)^{2}}{f^{\prime}(\epsilon)}\,d{\bf r}d{\bf v}\right)-\int\lambda({\bf r})\delta\left(\int\delta f\,d{\bf v}\right)\,d{\bf r}=0,

where λ(𝐫)\lambda({\bf r}) is a Lagrange multiplier. This gives

δf=λ(𝐫)f(ϵ),\displaystyle\delta f_{*}=-\lambda({\bf r})f^{\prime}(\epsilon), (287)

and it is a global minimum of δ2F[δf]\delta^{2}F[\delta f] with the previous constraint since δ2(δ2F)=12δ(δf)2f(ϵ)𝑑𝐫𝑑𝐯0\delta^{2}(\delta^{2}F)=-\frac{1}{2}\int\frac{\delta(\delta f)^{2}}{f^{\prime}(\epsilon)}\,d{\bf r}d{\bf v}\geq 0 (the constraint is linear in δf\delta f so its second variations vanish). The Lagrange multiplier is determined from the constraint δρ=δf𝑑𝐯\delta\rho=\int\delta f\,d{\bf v} yielding δρ=λf(ϵ)𝑑𝐯\delta\rho=-\lambda\int f^{\prime}(\epsilon)\,d{\bf v}. Therefore, the optimal perturbation (287) can be finally written

δf=δρf(ϵ)𝑑𝐯f(ϵ).\displaystyle\delta f_{*}=\frac{\delta\rho}{\int f^{\prime}(\epsilon)\,d{\bf v}}f^{\prime}(\epsilon). (288)

Therefore, δ2F[δf]δ2F[δf]\delta^{2}F[\delta f]\geq\delta^{2}F[\delta f_{*}]. Explicating δ2F[δf]\delta^{2}F[\delta f_{*}] using Eqs. (284) and (288), we obtain

δ2F[δf]12(δρ)2f(ϵ)𝑑𝐯𝑑𝐫+12δρδΦ𝑑𝐫.\displaystyle\delta^{2}F[\delta f]\geq-\frac{1}{2}\int\frac{(\delta\rho)^{2}}{\int f^{\prime}(\epsilon)\,d{\bf v}}\,d{\bf r}+\frac{1}{2}\int\delta\rho\delta\Phi\,d{\bf r}. (289)

Finally, using ρ(Φ)=f(ϵ)𝑑𝐯\rho^{\prime}(\Phi)=\int f^{\prime}(\epsilon)\,d{\bf v}, the foregoing inequality can be rewritten

δ2F[δf]12(δρ)2ρ(Φ)𝑑𝐫+12δρδΦ𝑑𝐫δ2𝒲[δρ],\displaystyle\delta^{2}F[\delta f]\geq-\frac{1}{2}\int\frac{(\delta\rho)^{2}}{\rho^{\prime}(\Phi)}\,d{\bf r}+\frac{1}{2}\int\delta\rho\delta\Phi\,d{\bf r}\equiv\delta^{2}{\cal W}[\delta\rho],

where the r.h.s. is precisely the functional (285). Furthermore, there is equality in Eq. (A) iff δf=δf\delta f=\delta f_{*}. This proves that the stability criteria (12) and (39) are equivalent. Indeed: (i) if inequality (12) is fulfilled for all perturbations δρ\delta\rho that conserve mass, then according to Eq. (A), we know that inequality (39) is fulfilled for all perturbations δf\delta f that conserve mass. (ii) if there exists a perturbation δρ\delta\rho_{*} that makes δ2𝒲[δρ]<0\delta^{2}{\cal W}[\delta\rho]<0, then the perturbation δf\delta f_{*} given by Eq. (288) with δρ=δρ\delta\rho=\delta\rho_{*} makes δ2F[δf]=δ2𝒲[δρ]<0\delta^{2}F[\delta f]=\delta^{2}{\cal W}[\delta\rho]<0. In conclusion, the stability criteria (12) and (39) are equivalent.

Appendix B Fluid equations

In a collisional gas, the evolution of the distribution function f(𝐫,𝐯,t)f({\bf r},{\bf v},t) is governed by Boltzmann’s transport equation

ft+𝐯f𝐫Φf𝐯=(ft)coll,{\partial f\over\partial t}+{\bf v}\cdot{\partial f\over\partial{\bf r}}-\nabla\Phi\cdot{\partial f\over\partial{\bf v}}=\left({\partial f\over\partial t}\right)_{coll}, (291)

where (f/t)coll(\partial f/\partial t)_{coll} is the collision operator. This operator locally conserves the mass, the impulse and the kinetic energy. The Boltzmann equation relaxes towards the Maxwellian distribution for t+t\rightarrow+\infty due to collisions. From Eq. (291), we can easily derive a hierarchy of hydrodynamic equations satisfied by the local moments of the velocity distribution. Defining the density ρ=f𝑑𝐯\rho=\int f\,d{\bf v}, the local velocity 𝐮=f𝐯𝑑𝐯{\bf u}=\int f{\bf v}\,d{\bf v} and the kinetic temperature d2ρT=12fw2𝑑𝐯\frac{d}{2}\rho T=\frac{1}{2}\int fw^{2}\,d{\bf v} (where 𝐰=𝐯𝐮{\bf w}={\bf v}-{\bf u} is the relative velocity and dd the dimension of space), the first three equations of this hierarchy are

ρt+(ρ𝐮)=0,{\partial\rho\over\partial t}+\nabla\cdot(\rho{\bf u})=0, (292)
uit+ujuixj=1ρPijxjΦxi,{\partial{u_{i}}\over\partial t}+u_{j}\frac{\partial{u}_{i}}{\partial x_{j}}=-{1\over\rho}\frac{\partial P_{ij}}{\partial x_{j}}-\frac{\partial\Phi}{\partial x_{i}}, (293)
d2ρ(Tt+𝐮T)=𝐪Pijujxi,\frac{d}{2}\rho\left(\frac{\partial T}{\partial t}+{\bf u}\cdot\nabla T\right)=-\nabla{\bf q}-P_{ij}\frac{\partial u_{j}}{\partial x_{i}}, (294)

where Pij=fwiwj𝑑𝐯P_{ij}=\int fw_{i}w_{j}\,d{\bf v} is the pressure tensor and 𝐪=12fw2𝐰𝑑𝐯{\bf q}=\frac{1}{2}\int fw^{2}{\bf w}\,d{\bf v} is the current of heat. These equations are known as the Maxwell equations of transfer (van Kampen 1957) or as the Jeans equations (Binney & Tremaine 1987). For a collision-dominated gas, we can close this hierarchy of hydrodynamic equations by using a Chapman-Enskog expansion which is valid when the mean free path in the gas is short. The zeroth-order approximation amounts to making the local thermodynamic equilibrium (L.T.E.) assumption

fL.T.E.(𝐫,𝐯,t)=(12πT(𝐫,t))d/2ρ(𝐫,t)e(𝐯𝐮(𝐫,t))22T(𝐫,t).\displaystyle f_{L.T.E.}({\bf r},{\bf v},t)=\left(\frac{1}{2\pi T({\bf r},t)}\right)^{d/2}\rho({\bf r},t)e^{-\frac{({\bf v}-{\bf u}({\bf r},t))^{2}}{2T({\bf r},t)}}.

This yields 𝐪=𝟎{\bf q}={\bf 0} and Pij=pδijP_{ij}=p\delta_{ij} where p=1dfw2𝑑𝐯=ρTp=\frac{1}{d}\int fw^{2}\,d{\bf v}=\rho T is the pressure. In that case, we obtain the Euler equations (Huang 1966)

ρt+(ρ𝐮)=0,{\partial\rho\over\partial t}+\nabla\cdot(\rho{\bf u})=0, (296)
𝐮t+𝐮𝐮=1ρpΦ,{\partial{\bf u}\over\partial t}+{\bf u}\cdot\nabla{\bf u}=-{1\over\rho}\nabla p-\nabla\Phi, (297)
d2(Tt+𝐮T)+T𝐮=0.\frac{d}{2}\left(\frac{\partial T}{\partial t}+{\bf u}\cdot\nabla T\right)+T\nabla\cdot{\bf u}=0. (298)
p=ρT.p=\rho T. (299)

Equation (298) can be rewritten in the form

ddt(ρTd/2)=0,\frac{d}{dt}\left(\frac{\rho}{T^{d/2}}\right)=0, (300)

where d/dt=/t+𝐮d/dt=\partial/\partial t+{\bf u}\cdot\nabla is the material derivative. This equation expresses the conservation of the entropy by the Euler equation (dissipative effects appear at the next order in the Chapman-Enskog expansion leading to the Navier-Stokes equations). We have therefore a closed system of hydrodynamic equations. The steady states correspond to 𝐮=𝟎{\bf u}={\bf 0} and to the condition of hydrostatic equilibrium (8). However, at the level of the Euler equations, nothing determines T(𝐫)T({\bf r}) at equilibrium, i.e. there exists steady states of Eqs. (296)-(299) with any temperature profile T(𝐫)T({\bf r}). Two cases are particularly relevant. If we consider that the collisions had time to establish a statistical equilibrium state, then T(𝐫)=TT({\bf r})=T is uniform at equilibrium yielding an isothermal equation of state p(𝐫)=ρ(𝐫)Tp({\bf r})=\rho({\bf r})T. By contrast, if collisions had not time to establish a statistical equilibrium state, we can consider a steady state where the specific entropy is uniform in the whole system: s(𝐫)=ss({\bf r})=s. This is equivalent to having ρ(𝐫)/T(𝐫)d/2\rho({\bf r})/T({\bf r})^{d/2}, p(𝐫)/T(𝐫)(d+2)/2p({\bf r})/T({\bf r})^{(d+2)/2} or p(𝐫)/ρ(𝐫)(d+2)/dp({\bf r})/\rho({\bf r})^{(d+2)/d} spatially uniform at equilibrium. We then obtain a polytropic equation of state p(𝐫)=Kρ(𝐫)γp({\bf r})=K\rho({\bf r})^{\gamma} with

γ=cpcv=d+2d.\gamma=\frac{c_{p}}{c_{v}}=\frac{d+2}{d}. (301)

In that case, the temperature behaves like T(𝐫)=Kρ(𝐫)γ1T({\bf r})=K\rho({\bf r})^{\gamma-1}. The isothermal distribution is justified by taking into account dissipative effects (e.g. using the Navier-Stokes equations) and the polytropic distribution is justified by completely ignoring dissipative effects. However, even if an isothermal distribution has been established under the effect of collisions, when we investigate the dynamical stability of such a distribution, we can usually ignore dissipative effects and use the Euler equations (296)-(299). This is because the dynamical time is in general much shorter than the collisional relaxation time.

If we consider the stability of an infinite homogeneous self-gravitating system or plasma described by the hydrodynamic equations (296)-(299), we find that the dispersion relation is of the form (13) or (234) with

cs2=δpδρ.c_{s}^{2}=\frac{\delta p}{\delta\rho}. (302)

In the present case, δp/δρp(ρ)\delta p/\delta\rho\neq p^{\prime}(\rho) since the gas is not barotropic. Linearizing Eq. (300) around the steady state, it reduces to

tδ(ρTd/2)=0,\frac{\partial}{\partial t}\delta\left(\frac{\rho}{T^{d/2}}\right)=0, (303)

so that ρ/Td/2\rho/T^{d/2}, p/T(d+2)/2p/T^{(d+2)/2} or p/ρ(d+2)/dp/\rho^{(d+2)/d} are independent on time in the linear regime. Therefore, the perturbations are adiabatic and we have

δpp=d+2dδρρ,\frac{\delta p}{p}=\frac{d+2}{d}\frac{\delta\rho}{\rho}, (304)

yielding δp=γTδρ\delta p=\gamma T\delta\rho hence

cs2=γT.c_{s}^{2}=\gamma T. (305)

Regrouping all these results, the dispersion relation for a self-gravitating system or a plasma described by the (non barotropic) Euler equations (296)-(299) are

ω2=γTk24πGρ,\displaystyle\omega^{2}=\gamma Tk^{2}-4\pi G\rho, (306)
ω2=γTk2+ωp2.\displaystyle\omega^{2}=\gamma Tk^{2}+\omega_{p}^{2}. (307)

The are valid for any equilibrium distribution, e.g. isothermal or polytropic.

Let us now consider the case of a collisionless system described by the Vlasov equation obtained from Eq. (291) by neglecting the collision term. The hydrodynamic equations (292)-(294) remain valid but, in the present case, the L.T.E assumption is not justified anymore so that the hierarchy of equations cannot be closed. However, for k0k\rightarrow 0, the dispersion relation based on the Vlasov equation is given for a self-gravitating system by (see Sec. 3.8):

ωi2=4πGρ3Tk2\displaystyle\omega_{i}^{2}=4\pi G\rho-3Tk^{2}-... (308)

This dispersion relation is consistent with Eq. (306) with γ=3\gamma=3 (corresponding to d=1d=1). Therefore, for large wavelengths, a collisionless stellar system can be treated by fluid equations experiencing a one dimensional adiabatic perturbation. For k0k\rightarrow 0, the dispersion relation based on the Vlasov equation are given for a plasma by (see Sec. 8.3):

ωr2=ωp2+3Tk2+,ωi=πωp32ρk2f(ωrk).\displaystyle\omega_{r}^{2}=\omega_{p}^{2}+3Tk^{2}+...,\qquad\omega_{i}=\frac{\pi\omega_{p}^{3}}{2\rho k^{2}}f^{\prime}\left(\frac{\omega_{r}}{k}\right). (309)

The Landau damping is due to collective effects and cannot be obtained in a hydrodynamic approximation. However, the dispersion relation for the pulsation ωr\omega_{r} is consistent with Eq. (307) with γ=3\gamma=3 (corresponding to d=1d=1). Therefore, for large wavelengths, the oscillations of a collisionless plasma can be treated by fluid equations experiencing a one dimensional adiabatic compression363636As noted by van Kampen (1957), this differs from the results of Thomson & Thomson (1933) whose considered isothermal perturbations and from the results of Gross (1951) who considered three dimensional adiabatic perturbations..

Appendix C Calculation of II for isothermal and polytropic distributions

Let us define

I=+f(v)v𝑑v.\displaystyle I=\int_{-\infty}^{+\infty}\frac{f^{\prime}(v)}{v}\,dv. (310)

For the isothermal distribution (102), the integration is straightforward and yields

Iiso=βρ.\displaystyle I_{iso}=-\beta\rho. (311)

For the polytropic distribution (158), the integrals can be expressed in terms of Gamma functions. After simplification, using Γ(x+1)=xΓ(x)\Gamma(x+1)=x\Gamma(x), we obtain

Ipoly=βργ,\displaystyle I_{poly}=-\frac{\beta\rho}{\gamma}, (312)

which includes the isothermal distribution (311) as a special case corresponding to γ=1\gamma=1.

Appendix D Direct calculation of W(ix)W(ix)

Let us compute W(z)W(z) defined by Eq. (106) when z=ixz=ix. When x>0x>0, using Eq. (53), we have

W(ix)=12π+ttixet2/2𝑑t.\displaystyle W(ix)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{+\infty}\frac{t}{t-ix}e^{-t^{2}/2}\,dt. (313)

Multiplying the numerator by t+ixt+ix and noting that the imaginary part vanishes by symmetry, we obtain

W(ix)=12π+t2t2+x2et2/2𝑑t.\displaystyle W(ix)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{+\infty}\frac{t^{2}}{t^{2}+x^{2}}e^{-t^{2}/2}\,dt. (314)

For any real xx, we have the identity

12π+t2t2+x2et2/2𝑑t=\displaystyle\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{+\infty}\frac{t^{2}}{t^{2}+x^{2}}e^{-t^{2}/2}\,dt=
1π2|x|ex2/2[1erf(|x|2)].\displaystyle 1-\sqrt{\frac{\pi}{2}}|x|e^{x^{2}/2}\left[1-{\rm erf}\left(\frac{|x|}{\sqrt{2}}\right)\right]. (315)

Therefore, for x>0x>0, we obtain

W(ix)=1π2xex2/2erfc(x2).\displaystyle W(ix)=1-\sqrt{\frac{\pi}{2}}xe^{x^{2}/2}{\rm erfc}\left(\frac{x}{\sqrt{2}}\right). (316)

When x<0x<0, using Eq. (55), we have

W(ix)=12π+ttixet2/2𝑑t2πxex2/2,\displaystyle W(ix)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{+\infty}\frac{t}{t-ix}e^{-t^{2}/2}\,dt-\sqrt{2\pi}xe^{x^{2}/2}, (317)

which is the same as

W(ix)=12π+t2t2+x2et2/2𝑑t2πxex2/2.\displaystyle W(ix)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{+\infty}\frac{t^{2}}{t^{2}+x^{2}}e^{-t^{2}/2}\,dt-\sqrt{2\pi}xe^{x^{2}/2}. (318)

Using identity (315) and the fact that erf(x)=erf(x){\rm erf}(-x)=-{\rm erf}(x), we finally obtain for x<0x<0:

W(ix)=1π2xex2/2erfc(x2).\displaystyle W(ix)=1-\sqrt{\frac{\pi}{2}}xe^{x^{2}/2}{\rm erfc}\left(\frac{x}{\sqrt{2}}\right). (319)

Comparing Eqs. (316) and (319), and noting that W(0)=1W(0)=1, we see that such expressions are valid for any real xx.

Appendix E The case of two cold streams

We consider a distribution function of the form

f(v)=ρ2(δ(v+va)+δ(vva)),f(v)=\frac{\rho}{2}\left(\delta(v+v_{a})+\delta(v-v_{a})\right), (320)

corresponding to two symmetric cold streams (T=0T=0) moving in opposite direction with velocity ±va\pm v_{a}. We shall consider the stability of this distribution with respect to the Vlasov equation for self-gravitating systems, plasmas and for the HMF model.

Self-gravitating systems: integrating by parts, the dispersion relation (52) can be rewritten

1+4πGk2f(v)(vωk)2𝑑v=0.1+\frac{4\pi G}{k^{2}}\int\frac{f(v)}{\left(v-\frac{\omega}{k}\right)^{2}}\,dv=0. (321)

For the distribution (320), we obtain373737The same dispersion relation is obtained if we consider two gaseous cold streams described by the Euler equations (cf Talwar & Kalra 1966).

k2=2πGρ[1(va+ωk)2+1(vaωk)2].k^{2}=-2\pi G\rho\left[\frac{1}{\left(v_{a}+\frac{\omega}{k}\right)^{2}}+\frac{1}{\left(v_{a}-\frac{\omega}{k}\right)^{2}}\right]. (322)

This is a 44th degree equation for ω\omega with real coefficients. Therefore, it admits 44 complex solutions that occur in pairs which are complex conjugate of one another, i.e. ω1,2=ωr±iωi\omega_{1,2}=\omega_{r}\pm i\omega_{i} and ω3,4=ωr±iωi\omega_{3,4}=\omega^{\prime}_{r}\pm i\omega^{\prime}_{i}. Accordingly, the system is stable for a perturbation of wavenumber kk iff the four roots are real (ωi=ωi=0\omega_{i}=\omega^{\prime}_{i}=0). However, it is clear that Eq. (322) has no solution with real ω\omega so that the distribution (320) is always unstable (to any wavenumber). In fact, the roots of this equation can be obtained analytically. They are given by

ω2=va2k22πGρ(1±12k2va2πGρ).\omega^{2}=v_{a}^{2}k^{2}-2\pi G\rho\left(1\pm\sqrt{1-\frac{2k^{2}v_{a}^{2}}{\pi G\rho}}\right). (323)

Let us introduce the wavenumber

k0=(πGρ2)1/21va.k_{0}=\left(\frac{\pi G\rho}{2}\right)^{1/2}\frac{1}{v_{a}}. (324)

If k<k0k<k_{0}, then ω2\omega^{2} is real negative so that ω\omega is purely imaginary. In that case, the perturbation grows without oscillating (ωr=0\omega_{r}=0, ωi>0\omega_{i}>0). On the other hand, if k>k0k>k_{0}, then ω2\omega^{2} and ω\omega are complex. In that case, the perturbation grows and oscillates (ωr0\omega_{r}\neq 0, ωi>0\omega_{i}>0). This is called overstability. Therefore, two cold streams are unstable for k<k0k<k_{0} and overstable for k>k0k>k_{0}. If we consider an asymmetric distribution, we find that the system is always overstable.

Plasmas: in the case of plasmas, performing the transformation Ge2/m2G\rightarrow-e^{2}/m^{2}, the dispersion relation becomes383838The same dispersion relation is obtained if we consider two gaseous cold streams described by the Euler equations (cf Kahn 1958).

k2=2πe2ρm2[1(va+ωk)2+1(vaωk)2].k^{2}=\frac{2\pi e^{2}\rho}{m^{2}}\left[\frac{1}{\left(v_{a}+\frac{\omega}{k}\right)^{2}}+\frac{1}{\left(v_{a}-\frac{\omega}{k}\right)^{2}}\right]. (325)

From the graph of the function k2=F(ω/k)k^{2}=F(\omega/k), we find that Eq. (325) has 44 real roots if k>kck>k_{c} where

kc=(4πe2ρm2)1/21va.k_{c}=\left(\frac{4\pi e^{2}\rho}{m^{2}}\right)^{1/2}\frac{1}{v_{a}}. (326)

Therefore, the distribution (320) is stable for k>kck>k_{c} and unstable for k<kck<k_{c}. The roots of Eq. (325) are given by

ω2=va2k2+2πe2ρm2(1±1+2k2va2m2πe2ρ).\omega^{2}=v_{a}^{2}k^{2}+\frac{2\pi e^{2}\rho}{m^{2}}\left(1\pm\sqrt{1+\frac{2k^{2}v_{a}^{2}m^{2}}{\pi e^{2}\rho}}\right). (327)

The solutions with the sign ++ correspond to ω2\omega^{2} real positive (pure oscillations). The solutions with the sign - correspond to ω2\omega^{2} real positive if k>kck>k_{c} (pure oscillations) and to ω2\omega^{2} real negative if k<kck<k_{c}. In that case, ω\omega is purely imaginary so that the perturbation grows without oscillating (ωr=0\omega_{r}=0, ωi>0\omega_{i}>0). There is no overstable mode. If we consider an asymmetric distribution with asymmetry Δ\Delta, we find that kc2=4πe2ρ/m2va2k_{c}^{2}=4\pi e^{2}\rho/m^{2}v_{a}^{2} as for the symmetric case. For k<kck<k_{c}, the system is overstable.

HMF model: for the attractive HMF model, performing the transformation k1k\rightarrow 1 and 4πGk/24\pi G\rightarrow k/2, the dispersion relation becomes

1=kρ4[1(va+ω)2+1(vaω)2],1=-\frac{k\rho}{4}\left[\frac{1}{\left(v_{a}+\omega\right)^{2}}+\frac{1}{\left(v_{a}-\omega\right)^{2}}\right], (328)

where kk is the coupling constant. The distribution (320) is always unstable. The roots of Eq. (328) are given by

ω2=va2kρ4(1±116va2kρ).\omega^{2}=v_{a}^{2}-\frac{k\rho}{4}\left(1\pm\sqrt{1-\frac{16v_{a}^{2}}{k\rho}}\right). (329)

Let us introduce the velocity

v0=(kρ16)1/2.v_{0}=\left(\frac{k\rho}{16}\right)^{1/2}. (330)

If va<v0v_{a}<v_{0}, then ω2\omega^{2} is real negative so that ω\omega is purely imaginary. In that case, the perturbation increases without oscillating (ωr=0\omega_{r}=0, ωi>0\omega_{i}>0). On the other hand, if va>v0v_{a}>v_{0}, then ω2\omega^{2} and ω\omega are complex. In that case, the perturbation increases and oscillates (ωr0\omega_{r}\neq 0, ωi>0\omega_{i}>0). Therefore, two cold streams are unstable for va<v0v_{a}<v_{0} and overstable for va>v0v_{a}>v_{0}. If we consider an asymmetric distribution, we find that the system is always overstable.

For the repulsive HMF model, performing the transformation kkk\rightarrow-k, the dispersion relation becomes

1=kρ4[1(va+ω)2+1(vaω)2].1=\frac{k\rho}{4}\left[\frac{1}{\left(v_{a}+\omega\right)^{2}}+\frac{1}{\left(v_{a}-\omega\right)^{2}}\right]. (331)

From the graph of the curve F(ω)=1F(\omega)=1, we find that Eq. (331) has 44 real roots if va>vcv_{a}>v_{c} where

vc=(kρ2)1/2.v_{c}=\left(\frac{k\rho}{2}\right)^{1/2}. (332)

Therefore, the distribution (320) is stable for va>vcv_{a}>v_{c} and unstable for va<vcv_{a}<v_{c}. The roots of Eq. (331) are given by

ω2=va2+kρ4(1±1+16va2kρ).\omega^{2}=v_{a}^{2}+\frac{k\rho}{4}\left(1\pm\sqrt{1+\frac{16v_{a}^{2}}{k\rho}}\right). (333)

The solutions with the sign ++ correspond to ω2\omega^{2} real positive (pure oscillations). The solutions with the sign - correspond to ω2\omega^{2} real positive if va>vcv_{a}>v_{c} (pure oscillations) and to ω2\omega^{2} real negative if va<vcv_{a}<v_{c}. In that case, ω\omega is purely imaginary so that the perturbation increases without oscillating (ωr=0\omega_{r}=0, ωi>0\omega_{i}>0). There is no overstable mode. If we consider an asymmetric distribution with asymmetry Δ\Delta, we find that vc2=(Δ+1)kρ/4v_{c}^{2}=(\Delta+1)k\rho/4. For v<vcv<v_{c}, the system is overstable.

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