Gravitational instability in protoplanetary disk with cooling: 2D global analysis
Abstract
Self-gravity is important in protoplanetary disks for planet formation through gravitational instability (GI). We study the cooling effect on GI in a thin two-dimensional protoplanetary disk. By solving the linear perturbation equations in global geometry, we obtain all the normal modes. Faster cooling leads to faster growth rate of GI with lower azimuthal wavenumber . According to the spatial structure of normal modes at different mass-averaged Toomre number and dimensionless cooling timescale , we identify three modes: local, transitional and global. The transitional modes are located in the outer disk while the other two modes in the inner disk. At (the resonance of dynamical timescale and thermal timescale) the growth rate changes sharply and the transitional modes dominate. The disk due to GI is much higher in the transitional modes than in the other two. Our result implies that the transitional modes at and can plausibly interpret the substructures and planet/brown dwarf formation in the outer disk.
1 Introduction
Gravitational instabilities (GI) play a significant role in both the evolution of protoplanetary disks (PPDs) and the planet formation process. (e.g., Cameron, 1978; Boss, 1997; Durisen et al., 2007; Boley & Durisen, 2010; Paardekooper, 2012; Xu & Kunz, 2021). They likely manifest during the early stages of protostellar disk evolution when the disk mass occupies more than 10% protostellar mass (Adams & Lin, 1993; Armitage, 2020). Disk mass estimates suggest that of Class 0 and of Class I disks exhibit GI instability (Kratter & Lodato, 2016).
The observational evidence suggests that GI may play a substantial role in PPDs. Recent advancements in observational facilities and instruments, such as ALMA, VLT/SPHERE, VLT/CRIRES, and GPI, have enabled spatially resolved observations of PPDs. Spiral structures have been detected in the sub-millimeter thermal emission reflected by the mm-sized dusts around the disk midplane (e.g., Pérez et al., 2016; Huang et al., 2018; Kurtovic et al., 2018). These observations are biased tracers of gas density profiles due to finite aerodynamic coupling between gas and dust. Moreover, optical and near-infrared (NIR) high contrast scattered-light images, arising from starlight scattered by m-sized dusts suspended in the disk surface, have also revealed spiral structures (e.g., Garufi et al., 2013; Wagner et al., 2015; Avenhaus et al., 2017; Benisty et al., 2017; Uyama et al., 2018). The origin of these spirals remains a debate, with GI offering a plausible explanation (Pérez et al., 2016; Meru et al., 2017; Tomida et al., 2017; Hall et al., 2018; Huang et al., 2018; Speedie et al., 2024). Additionally, the presence of substellar companions at large radii (with semimajor axes AU) implies the importance of GI (e.g. Kratter et al., 2010; Forgan & Rice, 2013; Forgan et al., 2015).
The study of GI has a long history dated back to James Jeans. Regarding disk GI, in recent years, Goodman & Narayan (1988) explored the fundamental modes in self-gravitating incompressible tori, demonstrating the existence of I mode (with corotation outside the tori) and J mode (with corotation at the density maximum). Adams et al. (1989) showed that one-armed density wave can be unstable when the disk mass is sufficiently high (). Noh et al. (1991) found nonaxisymmetric instability of high ’s when the disk is not so massive (). Hadley et al. (2014) studied the global nonaxisymmetric instabilities in a thick disk to produce a large parameter space of star-disk system. Lodato & Rice (2005) revealed that sufficiently massive disks can exhibit short-lived arms. The series of studies (Laughlin & Rozyczka, 1996; Dong et al., 2015; Hall et al., 2019; Chen et al., 2021) demonstrated that GI-induced spirals can have more than two arms. In addition to classical GI, drag-mediated two-fluid GI (Coradini et al., 1981; Longarini et al., 2023) and secular GI (Ward, 2000; Youdin, 2005; Shariff & Cuzzi, 2011; Michikoshi et al., 2012; Takeuchi & Ida, 2012; Tominaga et al., 2020; Pierens, 2021) have been proposed for less massive disks.
The dynamical consequences of GI are strongly influenced by disk thermodynamics. When a disk becomes gravitationally unstable, GI-induced spirals spread across the disk, forming shocks that heat the disk to increase thermal pressure against GI. However, radiative cooling can help remove heat from the disk, making it more unstable. The final state is determined by the balance between heating and cooling. When the cooling timescale is shorter than the dynamical timescale, fragmentation may occur, leading to the formation of gravitationally bound objects (e.g., Boss, 2001; Gammie, 2001; Johnson & Gammie, 2003; Rice et al., 2005; Baehr et al., 2017). When the cooling timescale is larger than the dynamical timescale, the disk may settle into a quasi-steady, marginally unstable state (e.g., Goldreich & Lynden-Bell, 1965; Lin & Pringle, 1987; Gammie, 2001; Lodato & Rice, 2004; Boley et al., 2006; Michael et al., 2012; Steiman-Cameron et al., 2013), potentially sustaining long-lived substructures in the disk.
Motivated by the relationship of disk thermodynamics and GI, we perform a linear stability analysis to study the effects of cooling time for disk GI. In Section 2 we derive the linear perturbation equations and give the numerical methods. In Section 3 we show some representative modes in different GI regimes. In Section 4 we focus on the relationship of dominant modes and disk cooling timescales. In Section 5 we discuss some implications and caveats, especially the disk . In Section 6 and we summarize our results.
2 Methods
2.1 Linear perturbation equations
We consider an inviscid two-dimensional gas disk with self-gravity in cylindrical coordinates . The equations of mass, momentum, internal energy and self-gravity are given
(1) |
(2) |
(3) |
(4) |
(5) |
where represent, respectively, surface density, pressure, internal energy, radial and azimuthal velocities. Here denotes self-gravity potential of the disk and is Dirac function. The thermodynamic effects are implemented on the right-hand side of Eq. (4) using the same strategy as in Miranda & Rafikov (2020), with relaxed to a prescribed unperturbed value (: adiabatic index, : adiabatic sound speed) on a cooling timescale
(6) |
Here, is modeled with the standard cooling approximation (Gammie, 2001)
(7) |
where is the Keplerian angular velocity.
We describe the physical quantities, including , in a general form , where the subscript denotes equilibrium and perturbation. In the following texts we drop the subscript ‘0’ of the unperturbed variables for simplicity. The perturbations are assumed to be Fourier harmonics
(8) |
Here represents the azimuthal wave number, and is the complex wave frequency that can be written as where is the oscillation rate (or pattern speed) and the growth rate. Substituting Eq. (8) into (1)-(5) while keeping only the first-order terms yields the linear perturbation equations
(9) |
(10) |
(11) |
(12) |
(13) |
Here is the Doppler-shifted frequency of the perturbation where is the angular velocity of the unperturbed state. is the length scale of entropy variation, defined as where is the gas entropy and the adiabatic index is given to be . The perturbed self-gravitational potential is rewritten in its integral form (Shu, 1992) and the range will be discussed in the next subsection. The angular velocity of unperturbed state can be derived from the radial equilibrium
(14) |
with the epicyclic frequency
(15) |
2.2 Disk profiles
As is known, self-gravity becomes crucial and GI can be triggered when exceeds 0.1 (Dong et al., 2015; Kratter & Lodato, 2016). To specifically investigate GI in the early stages of disks, we deliberately choose a relatively substantial disk-star mass ratio of . Usually the Toomre number is used as the criterion of GI, i.e., a disk is susceptible to gravitational instability when (Toomre, 1964). In our global analysis we employ the mass-averaged Toomre number rather than its local definition. We ensure to trigger the nonaxisymmetric GI (Chen et al., 2021).
The exact profile of PPDs in their early stages remains elusive, despite advancements in observational facilities like ALMA and VLT. We acknowledge the challenge in constraining these profiles and, for simplicity, adopt straightforward and interpretable profiles for both surface density () and temperature ().
We assume the surface density profile
(16) |
where the constant is determined with disk mass. To suppress the abrupt change of the self-gravitational potential at the inner and outer boundaries of the disk which will induce the edge modes, we apply tapering () and truncation () functions. The tapering function is a polynomial with its order higher than 10 defined to be at the origin and the inner boundary (Backus & Quinn, 2016). The truncation function is defined for
(17) |
where is the outer boundary and . Both the tapering and truncation functions are chosen to ensure that the surface density decreases rapidly when extends beyond the calculation domain . They also smoothly approach near (where is the outer boundary used to calculate the equilibrium profile), while maintaining and unchanged at . The power-law index for the surface density is set to . Figure 1 illustrates the density profile of our equilibrium state.
We assume a power-law temperature profile
(18) |
where the normalization factor is determined by . We choose , which is an intermediate value between given by the balance of disk cooling and stellar irradiation and given by the balance of disk cooling and accretion heating (Kratter & Lodato, 2016).

2.3 Boundary conditions
The perturbation equations consist of two first-order differential equations so that we need two boundary conditions. For the inner boundary, we use the reflecting boundary condition, i.e., the perturbed radial velocity vanishes when approaching the inner boundary of disk
(19) |
For the outer boundary, we use the confining boundary condition, i.e., the Lagrangian perturbation of pressure vanishes at the outer boundary of disk
(20) |
We refer these boundary condition as ’RC’ boundary. We also test the other boundary conditions ‘RR’, ‘CC’ and ‘CR’, and find that the boundary conditions cannot substantically change eigenfrequencies and eigenfunctions in the disk interior.
2.4 Numerical method
We employ two different ranges in our analysis. The equilibrium is within to avoid self-gravitational divergence at the boundaries and obtain a consistent rotation profile, whereas the perturbation in , with . In other words, the disk range is , and the regions between and serve solely as ghost ranges to obtain the equilibrium profile. The system is normalized with . We set , , , and in our calculation.
We translate the integro-differential equations (9)-(13) to an eigenvalue problem, which has been widely used for searching normal modes in PPDs (Adams et al., 1989; Noh et al., 1991). We give a brief introduction here and the details can be found in Appendix A. The eigenvalue problem is
(21) |
where represents the eigenvector and the eigenvalue. and are, respectively, the coefficient matrix for (9)-(13) without self-gravity terms and the coefficient matrix with only terms. We focus on the low , as GI is favored by low azimuthal wavenumbers and the multiple-arm spirals () are not often observed (Bae et al., 2023). Only the modes with the highest growth rate are selected, as they dominate over the other modes in the linear regime.
We use the logarithm-spaced grids within and take the resolution 800. To test the numerical convergence we double the resolution and the relative error of eigenfrequency is less than 2%.
3 Three regimes



In this section we test with the mass-averaged Toomre numbers across the entire range of and show some representative results of GI modes. We focus on modes because the two-armed spirals are commonly observed in both millimeter continuum (Andrews et al., 2018; Huang et al., 2018; Kurtovic et al., 2018) and near-infrared scattered-light observations (Garufi et al., 2013; Benisty et al., 2015, 2017; Canovas et al., 2018; Uyama et al., 2018). To characterize the modes, we compare the morphology of eigenfunctions, the oscillation rate (or pattern speed) , the growth rate , and the maximum location of () under different and . Additionally, we provide the locations of the inner and outer Lindblad resonances within which the spiral density wave propagates.
3.1 Local regime
We study the low Toomre number regime with . The resulting eigenfunctions and eigenvalues are illustrated in Figs.2 and 5. In Figure 5, the left panels display the density perturbation as a function of radius, while the right panel shows the distribution of density perturbation on the disk plane. In the left panel, both real and imaginary parts of density perturbation are shown, and the phase angle between the two parts determines the spiral pattern depicted by the right panel.
–Oscillation Rate. In this regime, as shown in the left panel of Fig.2, all modes have a pattern speed , indicating that their corotation radius (CR: vertical red line) are very close to the location of where ().
–Growth Rate. A notable feature of the growth rate in this regime is that the dominant modes always own the smallest , regardless of cooling timescale, and they exhibit extremely large growth rates () compared to the other regimes discussed below. Another significant feature, as shown in the right panel of Fig.2, is that decreases as increases. This is because slow cooling (large ) leads to strong thermal pressure to oppose gravitational instability (Jeans, 1902). Our result is consistent with Gammie (2001) that fast cooling triggers disk fragmentation. More interestingly, the growth rate changes sharply near when orbital dynamical timescale is comparable to thermodynamic timescale, probably because of the resonance of orbital dynamics and thermodynamics.
–Mode Morphology. As shown in the left panels of Fig.5, the real and imaginary parts of density perturbation exhibit the similar distribution, and the peaks are located near the maximum of density perturbation (vertical yellow line) as well as the corotation radius (vertical red line), and not far away from the maximum of equilibrium density (vertical purple line). The right panels of Fig.5 clearly show the concentration behavior of these local modes. Moreover, the strongest density perturbation has the radial wave number given by the WKBJ dispersion relation (Binney & Tremaine, 2008)
(22) |
3.2 Transitional regime
is a threshold, below which the axisymmetric instability is triggered and slightly above which the nonaxisymmetric instability is triggered (Kratter & Lodato, 2016). We take to investigate the GI behavior near this threshold, and the results are shown in Figs.3 and 6.
–Oscillation Rate. When gradually increases, the modes transit from the local regime to the transitional regime. A noticeable change occurs at (see the left panel of Fig.3). The GI modes of all ’s enter the transitional regime when . The typical in the transitional regime is around 1.4, which corresponds to the corotation radius (CR) in the outer disk.
–Growth Rate. Similar to the local modes, the transitional modes with faster cooling are more unstable, albeit the growth rates are one or two orders lower than the local modes because of higher . Unlike the local modes in which the lowest always dominates, in the transitional modes the higher dominates when . We also test even higher at , shown in Fig.8. The growth rate peaks at and then decreases as increases. This indicates that the modes are indeed caused by gravitational instability which prefers long wave.
–Mode Morphology. Compared to the local modes, the maximum density perturbations are also located near and the CR in the outer disk but far away from as shown in the left panels of Fig.6, which is different from the local modes, and the density perturbation is much more extended in the radial direction as shown in the right panels of Fig.6, which is also different from the high concentration of the local modes.
3.3 Global regime
We study the high Toomre number regime which reaches the boundary of GI. Only the modes are calculated and the mode is stable. The results are shown in Figs.4 and 7.
–Oscillation Rate. The odd ’s lead to corresponding to CR 0.76 in the outer disk. While the even ’s lead to when but when corresponding to CR 0.48 in the inner disk.
–Growth Rate. Similar to local and transitional modes, the growth rate of global modes changes at but it is lower than 1 because of high . The dominant modes nearly follow , consistent with the numerical simulations Dong et al. (2015).
–Mode Morphology. As shown in Fig.7, a notable feature in this regime is the global pattern, i.e., the perturbations are distributed across the entire disk. This results in fewer peaks compared to the other two regimes (see left panel), and the spirals now have significantly larger pitch angles (wider phase difference between real and imaginary parts, see left panel), making them more loosely winded (see right panel). Another significant difference from the other two regimes is that the location of maximum of density perturbation departs away from the CR location (red and yellow lines, see left panel), whereas in the other two regimes the two locations are close (see left panels of Figs.5 and 6).




4 Parameter scan
We have known that the growth rate and the mode transition depend not only on but also on , and therefore, we scan the parameter space () for from to and from to with fixed disk-star mass ratio . We focus on the modes since mode may be stable and higher modes () may not be GI but shear instability (recall that GI prefers long wave).
We choose to distinguish the transitional regime () from the local and global regimes (). Fig.9 shows the contour of as a function of and . The bold characters “” denote respectively the local, transitional and global regimes. For , the dominant modes in the disk are local regardless of disk thermodynamics . As increases, at GI enters the transitional regime, and moreover, slower cooling () requires lower to enter the transitional regime than faster cooling (). When continues to increase, GI with both large and small will eventually leave the transitional regime to enter the global regime. However, GI with tends to retain in the transitional regime, and higher mode owns a wider transitional regime. Similar to growth rate, this behavior at may also result from the resonance of orbital dynamics and thermodynamics.

5 Implication for observations
Gravitational instability significantly influences the evolution of PPDs and the planet formation. Firstly, ALMA has detected various substructures, e.g., spirals, rings, and gaps (Andrews et al., 2018), and GI is a potential mechanism for these large-scale substructures (Lin & Shu, 1964; Binney & Tremaine, 2008; Bae et al., 2023; Meru et al., 2017; Speedie et al., 2024). Secondly, although core accretion is considered to be the classical model to understand the giant planet formation even at large distance 10 AU (e.g., Nielsen et al., 2019; Vigan et al., 2021; Currie et al., 2023), GI is an alternative for the high-mass and long-period planet formation, especially to understand the metallicity non-correlation of brown dwarfs, debris disks, and their host stars (e.g., Nayakshin, 2017). Thirdly, besides turbulent viscosity, GI can be responsible for the angular momentum transport (Rice & Nayakshin, 2017).
The disk turbulent viscosity is related to accretion rate and angular momentum transport. Usually it is described by the disk (Shakura & Sunyaev, 1973)
(23) |
where is the turbulent viscosity, is a dimensionless coefficient, is the disk scale height and is the local sound speed. The disk is essentially the ratio of turbulent velocity of largest eddies to sound speed. The typical accretion rate to in protoplanetary disks (e.g., Armitage, 2020) corresponds to to . Turbulent viscosity arises from Reynolds stress which is given by
(24) |
In addition to Reynolds stress, GI can also play a role in transporting angular momentum. Gravitational stress is given by (e.g., Gammie, 2001; Lodato & Rice, 2004; Boley et al., 2006; Michael et al., 2012; Steiman-Cameron et al., 2023)
(25) |
where is disk surface area. By Reynolds and gravitational stresses we can calculate the effective
(26) |
where the stress can be either or . By the thermal balance between viscous heating and radiative cooling, we can derive (Armitage, 2020) such that at and . This argument is for a nonlinear self-sustained disk but our analysis is about linear stability (i.e., perturbation grows but not at the equilibrium balance) so that the disk in our linear study is roughly proportional to disk mass (see Eq. (26)).
Fig.10 shows the distribution of and at different and in the three regimes. The deep valleys are caused by the sign reversals of torque. In our 2D study, and are comparable in most regions of disk, but it is reported that is less significant than in 3D studies (e.g., Michael et al., 2012; Steiman-Cameron et al., 2013; Bae et al., 2016; Béthune & Latter, 2022). In the local and global regimes at reaches , but in the transitional regime it reaches . Although density perturbation becomes highest at ( in the local regime, 20-40% in the transitional regime and 15% in the global regime), because of the other quantities in Eq.(26) (e.g., , , etc.), at in the transitional regime is much stronger than in the other two regimes.



Our linear studies in both local and global regimes show strong similarities with 3D simulations of disks governed by GI (e.g., Boss, 2017). The rapid growth of instability in the local regime with low tends to create fragmentations and gravitationally bound objects in the inner disk, such as high-mass planets and brown dwarfs, regardless of cooling timescales. However, since GI saturates in the subsequent nonlinear phase and cooling is inefficient in the inner disk (e.g., AU), fragmentation can be suppressed. For disks in the global regime, the lower growth rate leads to long-lived non-axisymmetric spirals. Notably, even for high () and high (), the effective can still reach , consistent with results from marginally gravitationally unstable disk studies (Boss, 2012), which suggest that GI could be the driving mechanism for generic accretion disk evolution.
The transitional regime is particularly intriguing, as robust instability develops in the outer disk, where is typically satisfied (Lin & Youdin, 2015; Pfeil & Klahr, 2019). With the efficient cooling, substructures, fragmentations and substellar companions can be created by GI. Since the transitional regime dominates at (see Fig.9), we expect that spirals with pitch angles ranging from a few degrees to over 10 degrees can be observed in the outer disk. Moreover, the large effective in the transitional regime implies that GI is responsible for the angular momentum transport in the outer disk rather than viscosity.
6 Summary and discussion
In this paper we explore the characteristics of GI in a protoplanetary disk at various and , and our key results are summarized as follows. Firstly, faster/slower cooling timescale (smaller/larger ) leads to faster/slower growth rate, which is consistent with numerical results. Moreover, growth rate changes sharply at . Secondly, different corresponds to different modes: low to local modes, intermediate to transitional modes, and high to global modes. Density perturbation maximum of the local and global modes is located in the inner disk and close to equilibrium density maximum , but of the transitional modes in the outer disk and far away from . Moreover, the transitional modes lead to much stronger than the other two modes, suggesting much more efficient transport of angular momentum. Thirdly, the parameter scan reveals that the transitional modes dominate at . In summary, we infer that GI works in the outer disk at and to trigger the transitional modes for efficient transport of angular momentum, disk substructures (e.g., spirals and fragmentations), and planet/brown dwarf formation.
We assume a 2D thin disk. Although our calculations involve a relatively large aspect ratio, it should be noted that an early-age disk can be fairly thick even with an envelope, which will induce the additional mechanisms (Kratter & Lodato, 2016). Moreover, our linear analysis cannot capture the nonlinear effects such as shocks, wave amplitude saturation, etc. In addition, some other factors such as accretion and magnetic fields can be taken into account.
We thank Hongping Deng and Cong Yu for the help on equilibrium, Qiang Hou for his initial assistance, Haiyang Wang for self-gravity, Yuru Xu for boundary conditions, and Cathie Clarke for disk .
Appendix A Eigenvalue problem
(A2) |
(A3) |
(A4) |
Furthermore, we write them as
(A5) |
(A6) |
We divide the disk into grids and the matrix will be a coefficient matrix. The matrix is sparse, containing coefficients for and their first-order derivatives. For the first-order differential operators, we employ a central finite difference scheme on logarithmically spaced radial grid points
(A7) |
where represents the first-order differentiation matrices (e.g., Adams et al. (1989)). The matrix implements and terms. We calculate with the method used in Laughlin & Rozyczka (1996) and Lee et al. (2019) to avoid the singularity of self-gravity potential integration. Boundary conditions (19) and (20) are imposed on some rows of . It is noteworthy that we obtain eigenvalues and eigenfunctions. However, we focus on the most unstable mode, which owns the largest growth rate.
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