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Interacting Brownian motions and the Gross-Pitaevskii formula

Stefan Adams and Wolfgang König
Abstract

We review probabilistic approaches to the Gross-Pitaevskii theory describing interacting dilute systems of particles. The main achievement are large deviations principles for the mean occupation measure of a large system of interacting Brownian motions in a trapping potential. The corresponding rate functions are given as variational problems whose solution provide effective descriptions of the infinite system.

1 Introduction

The phenomenon known as Bose-Einstein condensation (hereafter abbreviated BEC) was predicted by Einstein (1925) on the basis of ideas of the Indian physicist Bose (1924) concerning statistical description of the quanta of light: In a system of particles obeying Bose statistics and whose total number is conserved, there should be a temperature below which a finite fraction of all the particles “condense” into the same one-particle state. Einstein’s original prediction was for a non-interacting gas of particles. The predicted phase transition is associated with the condensation of atoms in the state of lowest energy and is the consequence of quantum statistical effects.

For a long time these predictions were considered as a curiosity of non-interacting gases and had no practical impact. After the observation of superfluidity in liquid 4He below the λ\lambda temperature (2.17 K) was made, London (1938) suggested that, despite the strong interatomic interactions, BEC indeed occurs in this system and is responsible for the superfluidity properties. This suggestion has stood the test of time and is the basis of our modern understanding of the properties of the superfluid phase.

The first self-consistent theory of super-fluids was developed by Landau (1941) in terms of the spectrum of elementary excitations of the fluid. In 1947 Bogoliubov developed the first microscopic theory of interacting Bose gases, based on the concept of Bose-Einstein condensation. This initiated several theoretical studies; a recent account on the state of the art can be found in Adams, S. and Bru, J.-B. (2004a, b) and on its contribution to superfluidity theory in Adams, S. and Bru, J.-B. (2004c). After Landau, L.D. and Lifshitz, E.M. (1951) had appeared, Penrose (1951) and Onsager, L. and Penrose, O. (1956) introduced the concept of the non-diagonal long-range order and discussed its relationship with BEC. An important development in the field took place with the prediction of quantised vortices by Onsager (1949) and Feynman (1955). The experimental studies on dilute atomic gases were developed much later, starting from the 1970s, benefiting from the new techniques developed in atomic physics based on magnetic and optical trapping, and advanced cooling mechanisms.

In 1995, the first experimental realisations of BEC were achieved in a system that is as different as possible from 4He, namely, in dilute atomic alkali gases trapped by magnetic fields. These realisations are due to Anderson, M.H. et al. (1995), Bradley, C.C. et al. (1995), Davis, K.B. et al. (1995), after appropriate cooling methods had been developed. For this remarkable achievement, the Nobel prize in physics 2001 was awarded to E.A. Cornell, W. Ketterle and C.E. Wieman. Over the last few years these systems have been the subject of an explosion of research, both experimental and theoretical. A comprehensive account on Bose-Einstein condensation is the recent monograph Pitaevskii, L. and Stringari, S. (2003).

Perhaps the most fascinating aspect of BEC is best illustrated by the cover of Science magazine of December 22, 1995, in which the Bose condensate is declared as the “molecule of the year”. The Bose condensate is pictured as a platoon of soldiers marching in lookstep: every atom in the condensate must behave in exactly the same way. One of the most striking consequences is that effects, which are so small that they are practically invisible at the level of a single atom, are spectacularly amplified.

Motivated by the experimental success, in a series of papers Lieb, E.H. et al. (2000a), Lieb, E.H. et al. (2000b), Lieb, E.H. et al. (2001), Lieb, E.H. and Seiringer, R. (2002) obtained a mathematical foundation of Bose-Einstein condensation at zero temperature. The mathematical formulation of the NN-particle Boson system is in terms of an NN-particle Hamilton operator, N{\mathcal{H}}_{N}, whose ground states describe the Bosons under the influence of a trap potential and a pair potential, see Section 2. Lieb et al. rigorously proved that the ground state energy per particle of N{\mathcal{H}}_{N} (after proper rescaling of the pair potential) converges towards the energy of the well-known Gross-Pitaevskii functional. The ground state is approximated by the NN-fold product of the Gross-Pitaevskii minimiser mulitplied by a correlated term involving the solution of the associated scattering equation. Moreover, they also showed the convergence of the reduced density matrix, which implies the Bose-Einstein condensation. As had been generally predicted, the scattering length of the pair interaction potential plays a key role in this description.

These rigorous results are only for zero temperature, whereas the experiments show BEC at very low, but positive temperature. The mathematical understanding of BEC at positive temperature is rather incomplete yet. Its analysis represents an important challenging and ambitious research area in the field of many-particle systems. Thermodynamic equilibrium states are described by traces of eβN{\rm e}^{-\beta{\mathcal{H}}_{N}}, where β(0,)\beta\in(0,\infty) is the inverse temperature and N{\mathcal{H}}_{N} is the NN-particle Hamilton operator. Via the Feynman-Kac formula (see e.g. Feynman (1953) and Ginibre (1970)), these traces are expressed as exponential expectations of NN interacting Brownian motions with time horizon [0,β][0,\beta]. This opens up the possibility to use probabilistic approaches for the study of these traces, in particular stochastic analysis and the theory of large deviations.

In this review we present our probabilistic approaches to dilute systems of interacting many-particle systems at positive temperature using the Gross-Pitaevskii approximation. Using the the theory of large deviations, we characterise the large-NN and the large-β\beta behaviour of various exponential expectations of NN interacting Brownian motions with time horizon [0,β][0,\beta] in terms of variants of the Gross-Pitaevskii variational formula. In particular we introduce and analyse a new model, which we call the Hartree model, whose ground states are the ground product states of the Hamilton operator N{\mathcal{H}}_{N}. Their large-NN behaviour is characterised in terms of the Gross-Pitaevskii formula, with the scattering length replaced by the integral of the pair interaction potential. This nice assertion is complemented by an analogous result for positive temperature. Our programme started with Adams, S. et al. (2006a, b), which we summarise here. Further aspects are considered in Adams, S. and Dorlas, T. (2007a), Adams, S. and König, W. (2007), Adams, S. and Dorlas, T. (2007b) and Adams (2007a). Under current development are Adams (2007c), Adams (2007d), Adams, S. et al. (2007) and Adams, S. et al. (2007) in which non-dilute systems are studied.

We give a brief introduction to the physics of dilute quantum gases and their mathematical treatment at zero temperature in Section 2. In particular we introduce the Gross-Pitaevskii formula and the scattering length and describe the results by Lieb et al. and our results of the ground product state. Our probabilistic models are introduced in Section 3. Section 4 is devoted to our large deviations results and the variational analysis.

2 Dilute Quantum Gases

We introduce the modelling of the Gross-Pitaevskii theory which will be the starting point for our probabilistic models in Section 3. Let us comment briefly on some issues of the 1995 experiments as these are the motivation for the renewed interest in the Gross-Pitaevskii theory and its analytical proof by Lieb et al.

The experimental systems are collections of individual neutral alkali-gas atoms (e.g., 6Li, 04{}^{4}0K, 78{}^{8}7Rb, 32{}^{2}3Na, 7Li and 58{}^{8}5Rb, 87Rb,133Cs,174Yb, 85Rb2, and 6Li2)), with total number NN ranging from a few hundreds up to 1010\sim 10^{10}, confined by magnetic and/or optical means to a relatively small region of space. Their densities range from 1011cm1\sim 10^{11}\mbox{cm}^{-1} to 5×1015cm1\sim 5\times 10^{15}\mbox{cm}^{-1}, and their temperatures are typically in the range of a few tenths of nK up to 5μ\sim 5\muK.

In a typical system, we are faced with several length scales. One of them is the two-body interaction energy 2/mα2\hbar^{2}/m{\alpha}^{2}, where mm is the reduced mass of the two particles, \hbar is Heisenberg’s constant and α{\alpha} is the scattering length (see Section 2.1 below), expressing the strength of the interatomic interaction. A second one is the mean interparticle spacing rintr_{\rm int}, and a third one is the oscillator frequency aosca_{\rm osc} of the confining trap potential. Note that the first scale does not depend on the trap geometry, whereas the oscillator frequency aosca_{\rm osc}, the mean interparticle spacing, the transition temperature TcT_{\rm c} and the mean-field energy U0U_{0} (to be specified later) do depend on the shape of the confining potential. Introduce the “healing length” ξ=(2mnU0)1/2\xi=(2mnU_{0}\hbar)^{-1/2} and the de Broglie wavelength λDB\lambda_{\rm DB}. Note that aosca_{\rm osc} is the zero-point spread of the ground-state wave function of a free particle in the trap. The relations between these scales are as follows.

αrintλDBξaosc.{\alpha}\ll r_{\rm int}\sim\lambda_{\rm DB}\leq\xi\ll a_{\rm osc}.

Typical values are α50{\alpha}\sim 50 Å, rint2000r_{\rm int}\sim 2000 Å, ξ4000\xi\sim 4000 Å, aosc1μa_{\rm osc}\sim 1\mu. If one compares these numbers with those of liquid helium, one sees that the dilute gas condition αrint{\alpha}\ll r_{\rm int}, which is characteristic for the BEC of alkali gases, is very far from satisfied for liquid helium. As a consequence, liquid helium is a much more strongly interacting system than BEC gases, by many orders of magnitude.

We now turn to a mathematical modelling and introduce the potentials and the scattering length in Section 2.1 and the Gross-Pitaevskii theory in Section 2.2.

2.1 Potentials and Scattering Length

Our two fundamental ingredients are a trap potential, WW, and a pair-interaction potential, vv. We restrict ourselves to dimensions d{2,3}d\in\{2,3\}. Our assumptions on WW are the following.

W\displaystyle W :d[0,] is measurable and locally integrable on {W<} with\displaystyle\colon\mathbb{R}^{d}\to[0,\infty]\mbox{ is measurable and locally integrable on $\{W<\infty\}$ with } (1)
limRinf|x|>RW(x)=.\displaystyle\quad\quad\lim_{R\to\infty}\inf_{|x|>R}W(x)=\infty.

In order to avoid trivialities, we assume that {W<}\{W<\infty\} is either equal to d\mathbb{R}^{d} or is a bounded connected open set containing the origin.

Our assumptions on vv are the following. By Br(x)B_{r}(x) we denote the open ball with radius rr around xdx\in\mathbb{R}^{d}.

v\displaystyle v :[0,){+} is measurable and bounded from below,\displaystyle\colon[0,\infty)\to\mathbb{R}\cup\{+\infty\}\mbox{ is measurable and bounded from below, } (2)
a:=sup{r0:v(r)=}[0,),v|[η,) is bounded η>a.\displaystyle a=\sup\{r\geq 0\colon v(r)=\infty\}\in[0,\infty),\qquad v|_{[\eta,\infty)}\mbox{ is bounded }\forall\eta>a.

Note that we also admit v(a)=+v(a)=+\infty. We are mainly interested in the case where vv has a singularity, i.e., either a>0a>0, or a=0a=0 and limr0v(r)=\lim_{r\downarrow 0}v(r)=\infty. Examples include also super-stable potentials and potentials of Lennard-Jones type (Ruelle (1969)). According to integrability properties near the origin, we distinguish two different classes as follows. We call the interaction potential vv a soft-core potential if a=0a=0 and B1(0)v(|x|)dx<+\int_{B_{1}(0)}v(|x|)\,{\rm d}x<+\infty. Otherwise (i.e., if a>0a>0, or if a=0a=0 and B1(0)v(|x|)dx=+\int_{B_{1}(0)}v(|x|)\,{\rm d}x=+\infty), we call the interaction potential a hard-core potential.

We shall need the following dNdN-dimensional versions of the trap and the interaction potential:

𝔚(x)=i=1NW(xi)and𝔳(x)=1i<jNv(|xixj|),\mathfrak{W}(x)=\sum_{i=1}^{N}W(x_{i})\qquad\mbox{and}\qquad\mathfrak{v}(x)=\sum_{1\leq i<j\leq N}v(|x_{i}-x_{j}|),

where x=(x1,,xN)dNx=(x_{1},\dots,x_{N})\in\mathbb{R}^{dN}.

Let us introduce the scattering length of the pair potential, vv, and its most important properties. For a detailed overview, see Lieb, E.H. and Yngvason, J. (2001). First we turn to d3d\geq 3. Let u:[0,)[0,)u\colon[0,\infty)\to[0,\infty) be a solution of the scattering equation,

u′′=12uvon (0,),u(0)=0.u^{\prime\prime}=\frac{1}{2}uv\quad\mbox{on }(0,\infty),\qquad u(0)=0. (3)

Then the scattering length α(v)[0,]{\alpha}(v)\in[0,\infty], of vv is defined as

α(v)=limr[ru(r)u(r)].{\alpha}(v)=\lim_{r\to\infty}\Bigl{[}r-\frac{u(r)}{u^{\prime}(r)}\Bigr{]}. (4)

If v(0)>0v(0)>0, then α(v)>0{\alpha}(v)>0, and if a+1v(r)rd1dr<\int_{a+1}^{\infty}v(r)r^{d-1}\,{\rm d}r<\infty, then α(v)<{\alpha}(v)<\infty. In the pure hard-core case, i.e., v=1l[0,a)v=\infty{\mathchoice{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.5mu\mathrm{l}}{1\mskip-5.0mu\mathrm{l}}}_{[0,a)}, we have α(v)=a{\alpha}(v)=a. It is easily seen from the definition that the scattering length of the rescaled potential ξ2v(ξ1)\xi^{-2}v(\cdot\,\xi^{-1}) is equal to ξα(v)\xi{\alpha}(v), for any ξ>0\xi>0.

There is some ambiguity of the choice of uu in (3); positive multiples of uu are also solutions, but the factor drops out in (4). We like to normalise uu by requiring that limRu(R)=1\lim_{R\to\infty}u^{\prime}(R)=1. It is easily seen that (where ωd\omega_{d} denotes the area of the unit sphere in d\mathbb{R}^{d}),

dv(|x|)u(|x|)|x|d2dx\displaystyle\int_{\mathbb{R}^{d}}v(|x|)\frac{u(|x|)}{|x|^{d-2}}\,{\rm d}x =ωd0v(r)u(r)rdr=2ωd0u′′(r)rdr\displaystyle=\omega_{d}\int_{0}^{\infty}v(r)u(r)r\,{\rm d}r=2\omega_{d}\int_{0}^{\infty}u^{\prime\prime}(r)r\,{\rm d}r (5)
=2ωdlimR(u(r)r|0R0Ru(r)dr)\displaystyle=2\omega_{d}\lim_{R\to\infty}\Bigl{(}u^{\prime}(r)r\Big{|}_{0}^{R}-\int_{0}^{R}u^{\prime}(r)\,{\rm d}r\Bigr{)}
=2ωdlimR(u(R)Ru(R))=2ωdα(v).\displaystyle=2\omega_{d}\lim_{R\to\infty}\bigl{(}u^{\prime}(R)R-u(R)\bigr{)}=2\omega_{d}{\alpha}(v).

As a consequence, in dimension d=3d=3, we have α(v)<α~(v){\alpha}(v)<\widetilde{\alpha}(v). Indeed, uu is a nonnegative convex function whose slope is always below one because of limRu(R)=1\lim_{R\to\infty}u^{\prime}(R)=1. By u(0)=0u(0)=0, we have that u(r)<r=rd2u(r)<r=r^{d-2} for any r>0r>0. With the help of (5) we therefore get 8πα(v)=2ωdα(v)<dv(|x|)dx=8πα~(v)8\pi{\alpha}(v)=2\omega_{d}{\alpha}(v)<\int_{\mathbb{R}^{d}}v(|x|)\,{\rm d}x=8\pi\widetilde{\alpha}(v).

In d=2d=2, the definition of the scattering length is slightly different. We treat first the case that supp(v)[0,R]{\operatorname{supp}}(v)\subset[0,R_{*}] for some R>0R_{*}>0 and consider, for some R>RR>R_{*}, the solution u:[0,R][0,)u\colon[0,R]\to[0,\infty) of the scattering equation

u′′=12uvon [0,R],u(R)=1,u(0)=0.u^{\prime\prime}=\frac{1}{2}uv\qquad\mbox{on }[0,R],\qquad u(R)=1,u(0)=0.

Then u(r)=logrα(v)/logRα(v)u(r)=\log\frac{r}{{\alpha}(v)}/\log\frac{R}{{\alpha}(v)} for R<r<RR_{*}<r<R for some α(v)0{\alpha}(v)\geq 0, which is by definition the scattering length of vv in the case that supp(v)[0,R]{\operatorname{supp}}(v)\subset[0,R_{*}]. Note that α(v){\alpha}(v) does not depend on RR. Hence,

logα(v)=logru(r)logR1u(R),R<r<R.\log{\alpha}(v)=\frac{\log r-u(r)\log R}{1-u(R)},\qquad R_{*}<r<R.

For general vv (i.e., not necessarily having finite support), vv is approximated by compactly supported potentials, and the scattering length of vv is put equal to the limit of the scattering lengths of the approximations.

The dilute gas condition ensures that the scattering length is a satisfactory measure of the interaction strength. This approximation neglects any higher energy scattering processes. We finally discuss briefly the effects of the atom-atom scattering on the properties of the many-body alkali-gas system. The fundamental result is that under some conditions the true interaction potential vv of two atoms of reduced mass mm may be replaced by a delta function of strength 2π2α/m2\pi\hbar^{2}{\alpha}/m. The effective interaction is

veff(x)=4πα2mδ(x),xd.v_{\rm eff}(x)=\frac{4\pi{\alpha}\hbar^{2}}{m}\delta(x),\qquad x\in\mathbb{R}^{d}.

This motivates to scale the potential in such a way that it approximates the delta function in the large NN-limit. This will be done in the so-called Gross-Pitaevskii scaling in Subsection 2.2, which is a particular approximation of the delta function.

2.2 The Gross-Pitaevskii approximation

The simplest possible approximation for the wave function of a many-body system is a (correctly symmetrised) product of single-particle wave functions, i.e., the Hartree-Fock ansatz. In the case of a BEC system at temperature T=0T=0, this approximation usually leads to the Gross-Pitaevskii approximation. Basically the Gross-Pitaevskii approximation suggest to replace the evolution (time-dependent or stationary) of the many-body wave functions, governed by a system of Schrödinger equations, by a one-particle non-linear Schrödinger equation (see Gross (1961), Pitaevskii (1961)):

itΨ(x,t)=(2+W+4πα|Ψ(x,t)|2)Ψ(x,t),xd,t+.{\rm i}\partial_{t}\Psi(x,t)=\Big{(}-\nabla^{2}+W+4\pi{\alpha}|\Psi(x,t)|^{2}\Big{)}\Psi(x,t),\qquad x\in\mathbb{R}^{d},t\in\mathbb{R}_{+}.

In the stationary case the Gross-Pitaevskii theory gives an approximation for the quantum mechanical ground state for many particles (i.e., in the limit NN\to\infty) as a variational problem for a single particle in an effective potential. Hence we first summarise some ground state properties for finitely many particles.

The ground-state energy per particle of the NN-particle Hamilton operator

N=Δ+𝔚+𝔳on L2(d),{\mathcal{H}}_{N}=-\Delta+{\mathfrak{W}}+{\mathfrak{v}}\qquad\mbox{on }L^{2}(\mathbb{R}^{d}),

is given by

χN=1NinfhH1(d):h2=1{h22+𝔚,h2+𝔳,h2},\chi_{N}=\frac{1}{N}\inf_{h\in H^{1}(\mathbb{R}^{d})\colon\|h\|_{2}=1}\Big{\{}\|\nabla h\|_{2}^{2}+\langle\mathfrak{W},h^{2}\rangle+\langle\mathfrak{v},h^{2}\rangle\Big{\}}, (6)

Here H1(d)={fL2(d):fL2(d)}H^{1}(\mathbb{R}^{d})=\{f\in L^{2}(\mathbb{R}^{d})\colon\nabla f\in L^{2}(\mathbb{R}^{d})\} is the usual Sobolev space, and \nabla is the distributional gradient. It is standard to proof that there is a unique, continuously differentiable, minimiser hH1(d)h_{*}\in H^{1}(\mathbb{R}^{d}) on the right hand side of (6), and that it satisfies the variational equation

Δh=𝔚h+𝔳hNχNh.\Delta h_{*}={\mathfrak{W}}h_{*}+{\mathfrak{v}}h_{*}-N\chi_{N}h_{*}.

Now we turn to the above mentioned product ansatz. Introduce the ground product state energy of N{\mathcal{H}}_{N}, that is,

χN()=1Ninfh1,,hNH1(d):hi2=1ih1hN,Nh1hN.\chi_{N}^{{\scriptscriptstyle{({\otimes}})}}=\frac{1}{N}\inf_{h_{1},\dots,h_{N}\in H^{1}(\mathbb{R}^{d})\colon\|h_{i}\|_{2}=1\,\forall i}\big{\langle}h_{1}\otimes\cdots\otimes h_{N},{\mathcal{H}}_{N}h_{1}\otimes\cdots\otimes h_{N}\big{\rangle}. (7)

The replacement of the ground state energy, χN\chi_{N}, by the ground product state energy, χN()\chi_{N}^{{\scriptscriptstyle{({\otimes}})}}, is known as the Hartree-Fock approach (see Dickhoff, W.H. and Van Neck, D. (2005)). Sometimes, the formula in (7) is called the Hartree formula. Obviously,

χN()χN.\chi^{{\scriptscriptstyle{({\otimes}})}}_{N}\geq\chi_{N}.

We can also write

χN()=1Ninfh1,,hNH1(d):hi2=1i{i=1N{hi22+W,hi2}+1i<jNhi2,Vhj2},\chi_{N}^{{\scriptscriptstyle{({\otimes}})}}=\frac{1}{N}\inf_{\genfrac{}{}{0.0pt}{}{h_{1},\dots,h_{N}\in H^{1}(\mathbb{R}^{d})\colon}{\|h_{i}\|_{2}=1\,\forall i}}\Big{\{}\sum_{i=1}^{N}\Big{\{}\|\nabla h_{i}\|_{2}^{2}+\langle W,h_{i}^{2}\rangle\Big{\}}+\sum_{1\leq i<j\leq N}\langle h_{i}^{2},Vh_{j}^{2}\rangle\Big{\}},

where VV denotes the integral operator with kernel v||v\circ|\cdot|, either defined for functions by Vf(x)=dv(|xy|)f(y)dyVf(x)=\int_{\mathbb{R}^{d}}v(|x-y|)f(y)\,{\rm d}y or for measures by Vμ(x)=dμ(dy)v(|xy|)V\mu(x)=\int_{\mathbb{R}^{d}}\mu({\rm d}y)\,v(|x-y|). The main assertions on the formula in (7) and its minimisers are summarised as follows (see Adams, S. et al. (2006a)).

Lemma 2.1 (Ground product states of N\boldsymbol{{\mathcal{H}}_{N}})

Fix NN\in\mathbb{N}.

  1. (i)

    There exists at least one minimiser (h1,,hN)(h_{1},\dots,h_{N}) of the right hand side in the formula for χN()\chi_{N}^{{\scriptscriptstyle{({\otimes}})}}. The set of minimisers is compact and invariant under permutation of the functions h1,,hNh_{1},\dots,h_{N}.

  2. (ii)

    Any minimiser (h1,,hN)(h_{1},\dots,h_{N}) satisfies the system of differential equations

    Δhi=λihi+Whi+hijiVhj2,i=1,,N,\Delta h_{i}=-\lambda_{i}h_{i}+Wh_{i}+h_{i}\sum_{j\not=i}Vh_{j}^{2},\qquad i=1,\dots,N,

    with λi=hi22+W,hi2+jihi2,Vhj2\lambda_{i}=\|\nabla h_{i}\|_{2}^{2}+\langle W,h_{i}^{2}\rangle+\sum_{j\not=i}\langle h_{i}^{2},Vh_{j}^{2}\rangle. Furthermore, hiCd(λi(N1)infv)d/4\|h_{i}\|_{\infty}\leq C_{d}(\lambda_{i}-(N-1)\inf v)^{d/4} for any i{1,,N}i\in\{1,\dots,N\}, where Cd>0C_{d}>0 depends on the dimension dd only.

  3. (iii)

    Let vv be soft-core, assume that d{2,3}d\in\{2,3\}, and let (h1,,hN)(h_{1},\dots,h_{N}) be any minimiser. Assume that v|(0,η)0v|_{(0,\eta)}\geq 0 for some η>0\eta>0. In d=3d=3, furthermore assume that

    B1(0)|v(|y|)|1+δdy<,for some δ>0.\int_{B_{1}(0)}\big{|}v(|y|)\big{|}^{1+\delta}{\rm d}y<\infty,\qquad\mbox{for some }\delta>0.

    Then every hih_{i} is positive everywhere in d\mathbb{R}^{d} and continuously differentiable, and all first partial derivatives are α\alpha-Hölder continuous for any α<1\alpha<1.

  4. (iv)

    Let vv be hard-core, assume that d{2,3}d\in\{2,3\}, and let (h1,,hN)(h_{1},\dots,h_{N}) be any minimiser. Then every hih_{i} is continuously differentiable in the interior of its support, and all first partial derivatives are α\alpha-Hölder continuous for any α<1\alpha<1.

Remark 2.2
  1. (i)

    Unlike for the ground states of N{\mathcal{H}}_{N} in (6), there is no convexity argument available for the formula in (7). This is due to the fact that a convex combination of tensor-products of functions is not tensor-product in general, and hence the domain of the infimum in (7) is not a convex subset of H1(dN)H^{1}(\mathbb{R}^{dN}). However, for h2,,hNh_{2},\dots,h_{N} fixed, the minimisation over h1h_{1} enjoys the analogous convexity properties on H1(d)H^{1}(\mathbb{R}^{d}) as the minimisation in (6).

  2. (ii)

    If vv is hard-core, it is easy to see that the distances between the supports of h1,,hNh_{1},\dots,h_{N} have to be no smaller than aa (see (2)) in order to make the value of h1hN,Nh1hN\langle h_{1}\otimes\dots\otimes h_{N},{\mathcal{H}}_{N}h_{1}\otimes\dots\otimes h_{N}\rangle finite. The potential jiVhj2\sum_{j\not=i}Vh_{j}^{2} is equal to \infty in the aa-neighbourhood of the union of the supports of hjh_{j} with jij\not=i, and hih_{i} is equal to zero there (we regard 00\cdot\infty as 0). In particular, minimisers of (7) are not of the form (h,,h)(h,\dots,h). In the soft-core case, this statement is not obvious at all. A partial result on this question in d=3d=3 will be a by-product of Section 2.2 below.

\Diamond

We study now our main variational formulas, χN\chi_{N} and χN()\chi_{N}^{{\scriptscriptstyle{({\otimes}})}}, and their minimisers in the limit for diverging number NN of particles. In particular, we point out some significant differences between χN\chi_{N} and its product state version χN()\chi_{N}^{{\scriptscriptstyle{({\otimes}})}} in the soft-core and the hard-core case, respectively.

First we report on recent results by Lieb, Seiringer and Yngvason on the large-NN behaviour of χN\chi_{N}. Let the pair functional vv be as in (2) and assume additionally that v0v\geq 0 and v(0)>0v(0)>0.

We shall replace vv by the rescaling vN()=ξN2v(ξN1)v_{N}(\cdot)=\xi_{N}^{-2}v(\,\cdot\,\xi_{N}^{-1}), for some appropriate ξN\xi_{N} tending to zero sufficiently fast. This will provide the dilute gas condition needed. Hence, the reach of the repulsion is of order ξN\xi_{N}, and its strength of order ξN2\xi_{N}^{-2}. Furthermore, the scattering length of vv, α(v){\alpha}(v), is rescaled such that α(vN)=α(v)βN{\alpha}(v_{N})={\alpha}(v)\beta_{N}. If βN0\beta_{N}\downarrow 0 sufficiently fast, this rescaling makes the system dilute, in the sense that α(vN)N1/d{\alpha}(v_{N})\ll N^{-1/d}. This means that the interparticle distance is much bigger than the range of the interaction potential strength. More precisely, the decay of βN\beta_{N} will be chosen in such a way that the pair-interaction has the same order as the kinetic term.

The mathematical description of the large-NN behaviour of χN\chi_{N} in this scaling, and hence the theoretical foundation of the above mentioned physical experiments, has been successfully accomplished in a recent series of papers Lieb, E.H. et al. (2000a), Lieb, E.H. and Yngvason, J. (2001), Lieb, E.H. et al. (2001), Lieb, E.H. and Seiringer, R. (2002). It turned out that the well-known Gross-Pitaevskii formula adequately describes the limit of the ground states and its energy. This variational formula was first introduced in Gross (1961) and Gross (1963) and independently in Pitaevskii (1961) for the study of superfluid Helium. After its importance for the description of Bose-Einstein condensation of dilute gases in magnetic traps was realised in 1995, the interest in this formula considerably increased; see Dalfovo, F. et al. (1999) for a summary and the monograph Pitaevskii, L. and Stringari, S. (2003) for a comprehensive account on Bose-Einstein condensation.

The Gross-Pitaevskii formula has a parameter α>0{\alpha}>0 and is defined as follows:

χα(GP)=infϕH1(d):ϕ2=1{ϕ22+W,ϕ2+4παϕ44}.\chi_{\alpha}^{{\scriptscriptstyle{({\rm GP}})}}=\inf_{\phi\in H^{1}(\mathbb{R}^{d})\colon\|\phi\|_{2}=1}\big{\{}\|\nabla\phi\|_{2}^{2}+\langle W,\phi^{2}\rangle+4\pi{\alpha}\|\phi\|_{4}^{4}\big{\}}.

It is known Lieb, E.H. et al. (2000a) that χα(GP)\chi_{\alpha}^{{\scriptscriptstyle{({\rm GP}})}} possesses a unique minimiser ϕα(GP)\phi^{{\scriptscriptstyle{({\rm GP}})}}_{{\alpha}}, which is positive and continuously differentiable with Hölder continuous derivatives of order one.

Since v(0)>0v(0)>0, its scattering length α(v){\alpha}(v) is positive. The condition

a+1v(r)rd1dr<\int_{a+1}^{\infty}v(r)r^{d-1}\,{\rm d}r<\infty

implies that α(v)<{\alpha}(v)<\infty. Furthermore, note that the rescaled potential ξ2v(ξ1)\xi^{-2}v(\,\cdot\,\xi^{-1}) has scattering length ξα(v)\xi{\alpha}(v) for any ξ>0\xi>0.

Theorem 2.3 (Large-N\boldsymbol{N} asymptotic of χN\boldsymbol{\chi_{N}} in d{𝟐,𝟑}\boldsymbol{d\in\{2,3\}})

[Lieb, E.H. et al. (2000a), Lieb, E.H. and Yngvason, J. (2001), Lieb, E.H. et al. (2001)]. Assume that d{2,3}d\in\{2,3\}, that v0v\geq 0 with v(0)>0v(0)>0, and a+1v(r)rd1dr<\int_{a+1}^{\infty}v(r)r^{d-1}\,{\rm d}r<\infty. Replace vv by vN()=ξN2v(ξN1)v_{N}(\cdot)=\xi_{N}^{-2}v(\,\cdot\,\xi_{N}^{-1}) with ξN=1/N\xi_{N}=1/N in d=3d=3 and ξN2=α(v)2eN/α(v)Nϕα(v)(GP)44\xi_{N}^{2}={\alpha}(v)^{-2}e^{-N/{\alpha}(v)}N\|\phi^{{\scriptscriptstyle{({{\rm GP}}})}}_{{\alpha}(v)}\|_{4}^{-4} in d=2d=2. Let hNH1(dN)h_{N}\in H^{1}(\mathbb{R}^{dN}) be the unique minimiser on the right hand side of (6), and define ϕN2H1(d)\phi^{2}_{N}\in H^{1}(\mathbb{R}^{d}) as the normalised first marginal of hN2h_{N}^{2}, i.e.,

ϕN2(x)=d(N1)hN2(x,x2,,xN)dx2dxN,xd.\phi_{N}^{2}(x)=\int_{\mathbb{R}^{d(N-1)}}h_{N}^{2}(x,x_{2},\dots,x_{N})\,{\rm d}x_{2}\cdots{\rm d}x_{N},\qquad x\in\mathbb{R}^{d}.

Then we have

limNχN=χα(v)(GP)andϕN2(ϕα(v)(GP))2 in weak L1(d)-sense.\lim_{N\to\infty}\chi_{N}=\chi^{{\scriptscriptstyle{({\rm GP}})}}_{{\alpha}(v)}\qquad\mbox{and}\qquad\phi_{N}^{2}\to\big{(}\phi^{{\scriptscriptstyle{({{\rm GP}}})}}_{{\alpha}(v)})^{2}\quad\mbox{ in weak $L^{1}(\mathbb{R}^{d})$-sense.}

In particular, the proofs show that the ground state, hNh_{N}, approaches, for large NN, the function

(x1,,xN)i=1N(ϕα(v)(GP)(xi)ϕα(v)(GP)f(min{|xixj|:j<i})),(x_{1},\ldots,x_{N})\mapsto\prod_{i=1}^{N}\Big{(}\frac{\phi^{{\scriptscriptstyle{({\rm GP}})}}_{{\alpha}(v)}(x_{i})}{\|\phi^{{\scriptscriptstyle{({\rm GP}})}}_{{\alpha}(v)}\|_{\infty}}f\big{(}\min\{|x_{i}-x_{j}|\colon j<i\}\big{)}\Big{)},

where f(r)=u(r)/rf(r)=u(r)/r and uu is the solution of the scattering equation (3). In order to obtain the Gross-Pitaevskii formula as the limit of χN\chi_{N} also in d=2d=2, the rescaling of vv in Theorem 2.3 has to be chosen in such a way that the repulsion strength is the inverse square of the repulsion reach and such that this reach decays exponentially, which is rather unphysical.

There is an analogue of Theorem 2.3 for the Hartree model in the soft-core case, see Adams, S. et al. (2006a). It turns out that the ground product state energy χN()\chi_{N}^{{\scriptscriptstyle{({\otimes}})}} also converges towards the Gross-Pitaevskii formula. However, in d=2d=2, it turns out that the potential vv has to be rescaled differently. Furthermore, in d{2,3}d\in\{2,3\}, the scattering length α(v){\alpha}(v) is replaced by the number

α~(v):=18πdv(|y|)dy.\widetilde{\alpha}(v):=\frac{1}{8\pi}\int_{\mathbb{R}^{d}}v(|y|)\,{\rm d}y.
Theorem 2.4 (Large-N\boldsymbol{N} asymptotic of χN()\boldsymbol{\chi^{{\scriptscriptstyle{({\otimes}})}}_{N}}, soft-core case)

Let d{2,3}d\in\{2,3\}. Assume that vv is a soft-core pair potential with v0v\geq 0 and v(0)>0v(0)>0 and α~(v)<\widetilde{\alpha}(v)<\infty. In dimension d=3d=3, additionally assume that (iii) of Lemma 2.1 holds. Replace vv by vN()=Nd1v(N)v_{N}(\cdot)=N^{d-1}v(\,\cdot\,N) and let (h1(N),,hN(N))(h_{1}^{{\scriptscriptstyle{({N}})}},\dots,h_{N}^{{\scriptscriptstyle{({N}})}}) be any minimiser for the ground product state energy. Define ϕN2=1Ni=1N(hi(N))2\phi_{N}^{2}=\frac{1}{N}\sum_{i=1}^{N}(h_{i}^{{\scriptscriptstyle{({N}})}})^{2}. Then we have

limNχN()=χα~(v)(GP)andϕN2(ϕα~(v)(GP))2,\lim_{N\to\infty}\chi^{{\scriptscriptstyle{({\otimes}})}}_{N}=\chi^{{\scriptscriptstyle{({\rm GP}})}}_{\widetilde{\alpha}(v)}\qquad\mbox{and}\qquad\phi_{N}^{2}\to\big{(}\phi^{{\scriptscriptstyle{({{\rm GP}}})}}_{\widetilde{\alpha}(v)}\big{)}^{2},

where the convergence of ϕN2\phi_{N}^{2} is in the weak L1(d)L^{1}(\mathbb{R}^{d})-sense and weakly for the probability measures ϕn2(x)dx\phi_{n}^{2}(x)\,{\rm d}x towards the measure (ϕα~(v)(GP))2(x)dx(\phi^{{\scriptscriptstyle{({{\rm GP}}})}}_{\widetilde{\alpha}(v)})^{2}(x)\,{\rm d}x.

Note that, in d=3d=3, the interaction potential is rescaled in the same way in Theorems 2.3 and 2.4. However, the two relevant parameters depend on different properties of the potential (the scattering length, respectively the integral) and have different values, since α(v)<α~(v){\alpha}(v)<\widetilde{\alpha}(v) (see Section 2.1). In particular, for NN large enough, the ground state of χN\chi_{N} is not a product state. This implies the strictness of the inequality for the two ground state energies, for vv replaced by vN()=N2v(N)v_{N}(\cdot)=N^{2}v(\,\cdot\,N). The phenomenon that (unrestricted) ground states are linked with the scattering length has been theoretically predicted for more general NN-body problems (see Fetter, A.L. and Walecka, J.D. (1971, Ch. 14), Popov (1983)). Indeed, Landau combined a diagrammatic method (a Born approximation of the scattering length) with Bogoliubov’s approximations to almost reconstruct the scattering length from the L1L^{1}-norm of v||v\circ|\cdot| in the (non-dilute) ground state. However, the relation between the L1L^{1}-norm and the product ground states was not rigorously known before.

In d=2d=2, a more substantial difference between the large-NN behaviours of χN\chi_{N} and χN()\chi_{N}^{{\scriptscriptstyle{({\otimes}})}} is apparent. Not only the asymptotic relation between the reach and the strength of the repulsion is different, but also the order of this rescaling in dependence on NN. We can offer no intuitive explanation for this.

Interestingly, in the hard-core case, χN()\chi^{{\scriptscriptstyle{({\otimes}})}}_{N} shows a rather different large-NN behaviour, which we want to roughly indicate in a special case. Assume that WW and vv are purely hard-core potentials, for definiteness we take W=1lB1(0)cW=\infty{\mathchoice{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.5mu\mathrm{l}}{1\mskip-5.0mu\mathrm{l}}}_{B_{1}(0)^{\rm c}} and v=1l[0,a]v=\infty{\mathchoice{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.5mu\mathrm{l}}{1\mskip-5.0mu\mathrm{l}}}_{[0,a]}. We replace vv by vN()=v(/ξN)v_{N}(\cdot)=v(\,\cdot\,/\xi_{N}) for some ξN0\xi_{N}\downarrow 0 (a pre-factor plays no role). Then χN()\chi^{{\scriptscriptstyle{({\otimes}})}}_{N} is equal to 1N\frac{1}{N} times the minimum over the sum of the principal Dirichlet eigenvalues of Δ-\Delta in NN subsets of the unit ball having distance aβN\geq a\beta_{N} to each other, where the minimum is taken over the NN sets. It is clear that the volumes of these NN sets should be of order 1N\frac{1}{N}, independently of the choice of ξN\xi_{N}. Then their eigenvalues are at least of order N2/dN^{2/d}. Hence, one arrives at the statement lim infNN2/dχN()>0\liminf_{N\to\infty}N^{-2/d}\chi^{{\scriptscriptstyle{({\otimes}})}}_{N}>0, i.e., χN()\chi^{{\scriptscriptstyle{({\otimes}})}}_{N} tends to \infty at least like N2/dN^{2/d}.

3 The probabilistic models

Much thermodynamic information about the Boson system is contained in the traces of the Boltzmann factor eβN{\rm e}^{-\beta{\mathcal{H}}_{N}} for β>0\beta>0, like the free energy, or the pressure. Since the 1960ies, interacting Brownian motions are generally used for probabilistic representations for these traces. The parameter β\beta, which is interpreted as the inverse temperature of the system, is then the length of the time interval of the Brownian motions.

However, the traces do not contain much information about the ground state. Since the pioneering work of Donsker and Varadhan in the early 1970ies it is basically known that the ground states are intimately linked with the Brownian occupation measures. This link is rigorously established via the theory of large deviations for diverging time, which corresponds to vanishing temperature.

We introduce two different models of interacting Brownian motions. These models are given in terms of transformed measures for paths of length β\beta in terms of certain Hamiltonians. Let a family of NN independent Brownian motions, (Bt(1))t0,,(Bt(N))t0,(B_{t}^{{\scriptscriptstyle{({1}})}})_{t\geq 0},\dots,(B_{t}^{{\scriptscriptstyle{({N}})}})_{t\geq 0}, in d\mathbb{R}^{d} with generator Δ-\Delta be given. The Hamiltonians of both models possess a trap part and a pair-interaction part. The trap part is for both models the same, namely

HN,β=i=1N0βW(Bs(i))ds.H_{N,\beta}=\sum_{i=1}^{N}\int_{0}^{\beta}W(B_{s}^{{\scriptscriptstyle{({i}})}})\,{\rm d}s. (8)

The Hamiltonian of our first model consists of two parts: the trap part given in (8), and a pair-interaction part,

GN,β=1i<jN0βv(|Bs(i)Bs(j)|)ds.G_{N,\beta}=\sum_{1\leq i<j\leq N}\int_{0}^{\beta}v\bigl{(}|B_{s}^{{\scriptscriptstyle{({i}})}}-B_{s}^{{\scriptscriptstyle{({j}})}}|\bigr{)}\,{\rm d}s.

We look at the distribution of the NN Brownian motions under the transformed path measure

d^N,β=1ZN,βexp(HN,βGN,β)d,where ZN,β=𝔼(exp(HN,βGN,β)).{\rm d}\widehat{}\mathbb{P}_{N,\beta}=\frac{1}{Z_{N,\beta}}\,\exp(-H_{N,\beta}-G_{N,\beta})\,{\rm d}\mathbb{P},\quad\mbox{where }Z_{N,\beta}=\mathbb{E}\bigl{(}\exp(-H_{N,\beta}-G_{N,\beta})\bigl{)}.

Here 𝔼\mathbb{E} denotes the Brownian expectation for deterministic start at the origin and time horizon [0,β][0,\beta]. We call ^N,β\widehat{}\mathbb{P}_{N,\beta} the canonical ensemble model, since it is derived, via a Feynman-Kac formula, from the trace-class operator of the canonical ensemble, eβN{\rm e}^{-\beta{\mathcal{H}}_{N}}. That is, the trace is given as

Tr(eβN)=ddx1ddxNi=1N𝔼xi,xiβ(eHN,βGN,β).{\operatorname{Tr}\,}({\rm e}^{-\beta{\mathcal{H}}_{N}})=\int_{\mathbb{R}^{d}}{\rm d}x_{1}\cdots\int_{\mathbb{R}^{d}}{\rm d}x_{N}\bigotimes_{i=1}^{N}\mathbb{E}_{x_{i},x_{i}}^{\beta}\Big{(}{\rm e}^{-H_{N,\beta}-G_{N,\beta}}\Big{)}.

Here 𝔼xi,xiβ\mathbb{E}_{x_{i},x_{i}}^{\beta} denotes the expectation with respect to a Brownian bridge starting in xix_{i} and terminating in xix_{i} after time β\beta.

However, a system of NN Bosons is described by a trace of the projection to symmetric wave functions, i.e., wave functions that are invariant under permutations of the single particle indices. Hence the trace for a system of Bosons is given as

Tr+(eβN)=1N!σ𝔖Nddx1ddxNi=1N𝔼xi,xσ(i)β(eHN,βGN,β),{\operatorname{Tr}\,}_{+}({\rm e}^{-\beta{\mathcal{H}}_{N}})=\frac{1}{N!}\sum_{\sigma\in\mathfrak{S}_{N}}\int_{\mathbb{R}^{d}}{\rm d}x_{1}\cdots\int_{\mathbb{R}^{d}}{\rm d}x_{N}\bigotimes_{i=1}^{N}\mathbb{E}_{x_{i},x_{\sigma(i)}}^{\beta}\Big{(}{\rm e}^{-H_{N,\beta}-G_{N,\beta}}\Big{)},

where 𝔖N\mathfrak{S}_{N} is the group of permutation of NN elements. These symmetrised systems are the subject of the review Adams (2007b) in these proceedings. Recent results can be found in Adams, S. and Dorlas, T. (2007a), Adams, S. and König, W. (2007) and Adams (2007c), Adams (2007d).

The path measure N,β\mathbb{P}_{N,\beta} is a model for NN Brownian motions in a trap WW with the presence of a repellent pair interaction. We can conceive the NN-tuple of the motions, Bt=(Bt(1),,Bt(N)),B_{t}=(B_{t}^{{\scriptscriptstyle{({1}})}},\dots,B_{t}^{{\scriptscriptstyle{({N}})}}), as one Brownian motion in dN\mathbb{R}^{dN}. Introduce the normalised occupation measure of the dNdN-dimensional motion,

μβ(dx)=1β0βδBs(dx)ds,\mu_{\beta}({\rm d}x)=\frac{1}{\beta}\int_{0}^{\beta}\delta_{B_{s}}({\rm d}x)\,{\rm d}s,

which is a random element of the set 1(dN){\mathcal{M}}_{1}(\mathbb{R}^{dN}) of probability measures on dN\mathbb{R}^{dN}. It measures the time spent by the tuple of NN Brownian motions in a given region. Note that there is only one time scale involved for all the motions, i.e., the Brownian particles interact with each other at common time units. We can write the Hamiltonians in terms of the occupation measure as

HN,β=β𝔚,μβandGN,β=β𝔳,μβ.H_{N,\beta}=\beta\langle\mathfrak{W},\mu_{\beta}\rangle\qquad\mbox{and}\qquad G_{N,\beta}=\beta\langle\mathfrak{v},\mu_{\beta}\rangle.

Note that the energy functional h,Nh\langle h,{\mathcal{H}}_{N}h\rangle may be rewritten h,Nh=IN(μ)+𝔚,μ+𝔳,μ\langle h,{\mathcal{H}}_{N}h\rangle=I_{N}(\mu)+\langle\mathfrak{W},\mu\rangle+\langle\mathfrak{v},\mu\rangle for the probability measure μ(dx)=h2(x)dx\mu({\rm d}x)=h^{2}(x)\,{\rm d}x.

Our second Brownian model is defined in terms of another Hamiltonian. We keep the trap Hamiltonian HN,βH_{N,\beta} as in (8), but the interaction Hamiltonian is now

KN,β=1i<jN1β0β0βv(|Bs(i)Bt(j)|)dsdt.K_{N,\beta}=\sum_{1\leq i<j\leq N}\frac{1}{\beta}\int_{0}^{\beta}\int_{0}^{\beta}v\bigl{(}|B_{s}^{{\scriptscriptstyle{({i}})}}-B_{t}^{{\scriptscriptstyle{({j}})}}|\bigr{)}\,{\rm d}s{\rm d}t. (9)

Note that the ii-th Brownian motion interacts with the mean of the whole path of the jj-th motion, taken over all times before β\beta. Hence, the interaction is not a particle interaction, but a path interaction. The interaction (9) is related to Polaron type models Donsker, M.D. and Varadhan, S.R.S. (1983), Bolthausen, E. et al. (1993), where instead of several paths a single path is considered. We consider the corresponding transformed path measure,

d^N,β()=1ZN,β()exp(HN,βKN,β)d,where ZN,β()=𝔼(exp(HN,βKN,β)).{\rm d}\widehat{}\mathbb{P}_{N,\beta}^{{\scriptscriptstyle{({\otimes}})}}=\frac{1}{Z_{N,\beta}^{{\scriptscriptstyle{({\otimes}})}}}\,\exp(-H_{N,\beta}-K_{N,\beta})\,{\rm d}\mathbb{P},\quad\mbox{where }Z_{N,\beta}^{{\scriptscriptstyle{({\otimes}})}}=\mathbb{E}\bigl{(}\exp(-H_{N,\beta}-K_{N,\beta})\bigl{)}.

In Theorem 4.3 below it turns out that the large-β\beta behaviour of ZN,β()Z_{N,\beta}^{{\scriptscriptstyle{({\otimes}})}} is intimately related to the Hartree formula in (7). Therefore, we call this model the Hartree model. At the end of this section we comment on its physical relevance.

We introduce the normalised occupation measure of the ii-th motion,

μβ(i)(dx)=1β0βδBs(i)(dx)ds1(d).\mu_{\beta}^{{\scriptscriptstyle{({i}})}}({\rm d}x)=\frac{1}{\beta}\int_{0}^{\beta}\delta_{B_{s}^{{\scriptscriptstyle{({i}})}}}({\rm d}x)\,{\rm d}s\in{\mathcal{M}}_{1}(\mathbb{R}^{d}).

The tuple of the NN occupation measures, (μβ(1),,μβ(N))(\mu_{\beta}^{{\scriptscriptstyle{({1}})}},\dots,\mu_{\beta}^{{\scriptscriptstyle{({N}})}}), plays a particular role in this model. We can write the Hamiltonians as

HN,β=β𝔚,μβandKN,β=β1i<jNμβ(i),Vμβ(j)=β𝔳,μβ,H_{N,\beta}=\beta\langle\mathfrak{W},\mu_{\beta}^{\otimes}\rangle\qquad\mbox{and}\quad K_{N,\beta}=\beta\sum_{1\leq i<j\leq N}\langle\mu_{\beta}^{{\scriptscriptstyle{({i}})}},V\mu_{\beta}^{{\scriptscriptstyle{({j}})}}\rangle=\beta\langle\mathfrak{v},\mu_{\beta}^{\otimes}\rangle,

where we recall the operator VV with kernel v||v\circ|\cdot|, and μβ=μβ(1)μβ(N)\mu_{\beta}^{\otimes}=\mu_{\beta}^{{\scriptscriptstyle{({1}})}}\otimes\dots\otimes\mu_{\beta}^{{\scriptscriptstyle{({N}})}} is the product measure.

4 Large deviations results

We present our main large deviations results for both the canonical ensemble and the Hartree model. In Section 4.1 the zero temperature (i.e., large-β\beta) limit is considered, and in Section 4.2 the large-NN limit, both at zero temperature and positive temperature.

4.1 Vanishing Temperature

It turns out that the large-β\beta behaviour of the canonical ensemble model is described by the ground state of the Hamilton operator N{\mathcal{H}}_{N} via a large deviations principle. The rate function INI_{N} appearing in Theorem 4.1 is the well-known Donsker-Varadhan rate function on dN\mathbb{R}^{dN} defined by

IN(μ)={dμdx22if dμdxH1(dN) exists ,otherwise.I_{N}(\mu)=\begin{cases}\bigl{\|}\nabla\sqrt{\frac{{\rm d}\mu}{{\rm d}x}}\bigr{\|}_{2}^{2}&\mbox{if }\sqrt{\frac{{\rm d}\mu}{{\rm d}x}}\in H^{1}(\mathbb{R}^{dN})\mbox{ exists },\\ \infty&\mbox{otherwise.}\end{cases} (10)

Simplifying, the large deviations principle says that, as β\beta\to\infty,

(μβμ)eNIN(μ),μ1(dN).\mathbb{P}(\mu_{\beta}\approx\mu)\approx{\rm e}^{-NI_{N}(\mu)},\qquad\mu\in{\mathcal{M}}_{1}(\mathbb{R}^{dN}).
Theorem 4.1 (Canonical ensemble model at late times)

Fix NN\in\mathbb{N}.

  1. (i)
    limβ1Nβlog𝔼(exp(HN,βGN,β))=χN,\lim_{\beta\to\infty}\frac{1}{N\beta}\log\mathbb{E}\bigl{(}\exp(-H_{N,\beta}-G_{N,\beta})\bigl{)}=-\chi_{N},

    where χN\chi_{N} is the ground-state energy per particle of the NN-particle operator N{\mathcal{H}}_{N} given in (6).

  2. (ii)

    As β\beta\to\infty, the distribution of μβ\mu_{\beta} on 1(dN){\mathcal{M}}_{1}(\mathbb{R}^{dN}) under ^N,β\widehat{}\mathbb{P}_{N,\beta} satisfies a principle of large deviation with speed β\beta and rate function INI_{N} given by

    IN(μ)=IN(μ)+𝔚,μ+𝔳,μNχNforμ1(dN).I_{N}(\mu)=I_{N}(\mu)+\langle\mathfrak{W},\mu\rangle+\langle\mathfrak{v},\mu\rangle-N\chi_{N}\;\mbox{for}\;\mu\in{\mathcal{M}}_{1}(\mathbb{R}^{dN}).
  3. (iii)

    The distribution of μβ\mu_{\beta} under ^N,β\widehat{}\mathbb{P}_{N,\beta} converges weakly towards the measure h(x)2dxh_{*}(x)^{2}\,{\rm d}x, where hh_{*} is the unique minimiser in (6).

Remark 4.2

It is well-known Ginibre (1970) that the bottom of the spectrum of N{\mathcal{H}}_{N} is related to the large-β\beta behaviour of the trace of eβN{\rm e}^{-\beta{\mathcal{H}}_{N}}, more precisely,

χN=limβ1NβlogTr(eβN).\chi_{N}=-\lim_{\beta\to\infty}\frac{1}{N\beta}\log{\operatorname{Tr}\,}\big{(}{\rm e}^{-\beta{\mathcal{H}}_{N}}\big{)}.

\Diamond

Theorem 4.3 (Hartree model at late times)

Assume that WW and vv are continuous in {W<}\{W<\infty\} resp. in {v<}\{v<\infty\}. Furthermore, assume in the soft-core case that there exists an ε>0\varepsilon>0 and a decreasing function v~:(0,ε)\widetilde{v}\colon(0,\varepsilon)\to\mathbb{R} with vv~v\leq\widetilde{v} on (0,ε)(0,\varepsilon), which satisfies Bε(0)G(0,y)v~(|y|)dy<\int_{B_{\varepsilon}(0)}G(0,y)\widetilde{v}(|y|)\,{\rm d}y<\infty, where GG denotes the Green’s function of the free Brownian motion on d\mathbb{R}^{d}. Fix NN\in\mathbb{N}.

  1. (i)
    limβ1Nβlog𝔼(exp(HN,βKN,β))=χN().\lim_{\beta\to\infty}\frac{1}{N\beta}\log\mathbb{E}\bigl{(}\exp(-H_{N,\beta}-K_{N,\beta})\bigl{)}=-\chi^{{\scriptscriptstyle{({\otimes}})}}_{N}.
  2. (ii)

    As β\beta\to\infty, the distribution of the tuple (μβ(1),,μβ(N))(\mu_{\beta}^{{\scriptscriptstyle{({1}})}},\dots,\mu_{\beta}^{{\scriptscriptstyle{({N}})}}) of Brownian occupation measures on 1(d)N{\mathcal{M}}_{1}(\mathbb{R}^{d})^{N} under ^N,β()\widehat{}\mathbb{P}_{N,\beta}^{{\scriptscriptstyle{({\otimes}})}} satisfies a large deviation principle with speed β\beta and rate function

    IN()(μ1,,μN)=i=1NI1(μi)+𝔚,μ+𝔳,μNχN(),I^{{\scriptscriptstyle{({\otimes}})}}_{N}(\mu_{1},\dots,\mu_{N})=\sum_{i=1}^{N}I_{1}(\mu_{i})+\langle\mathfrak{W},\mu^{\otimes}\rangle+\langle\mathfrak{v},\mu^{\otimes}\rangle-N\chi^{{\scriptscriptstyle{({\otimes}})}}_{N},

    with μ1,,μN1(d)\mu_{1},\dots,\mu_{N}\in{\mathcal{M}}_{1}(\mathbb{R}^{d}) where I1I_{1} is defined in (10), and μ=μ1μN\mu^{\otimes}=\mu_{1}\otimes\dots\otimes\mu_{N} is the product measure.

  3. (iii)

    The distribution of (μβ(1),,μβ(N))(\mu_{\beta}^{{\scriptscriptstyle{({1}})}},\dots,\mu_{\beta}^{{\scriptscriptstyle{({N}})}}) under ^N,β()\widehat{}\mathbb{P}_{N,\beta}^{{\scriptscriptstyle{({\otimes}})}} is attracted by the set of minimisers for ground product state energy χN()\chi^{{\scriptscriptstyle{({\otimes}})}}_{N}.

4.2 Large systems at Positive Temperature

We now formulate our results on the behaviour of the Hartree model in the limit as NN\to\infty, with β>0\beta>0 fixed. As in the zero temperature case in Theorem 2.4, we replace vv by vN()=Nd1v(N)v_{N}(\cdot)=N^{d-1}v(\cdot N); we write KN,β(N)K_{N,\beta}^{{\scriptscriptstyle{({N}})}} for the Hamiltonian introduced in (9).

First we introduce an important functional, which will play the role of a probabilistic energy functional. Define Jβ:1(d)[0,]J_{\beta}\colon{\mathcal{M}}_{1}(\mathbb{R}^{d})\to[0,\infty] as the Legendre-Fenchel transform of the map 𝒞b(d)f1βlog𝔼[e0βf(Bs)ds]{\mathcal{C}}_{\rm b}(\mathbb{R}^{d})\ni f\mapsto\frac{1}{\beta}\log\mathbb{E}[{\rm e}^{\int_{0}^{\beta}f(B_{s})\,{\rm d}s}] on the set 𝒞b(d){\mathcal{C}}_{\rm b}(\mathbb{R}^{d}) of continuous bounded functions on d\mathbb{R}^{d}, where (Bs)s0(B_{s})_{s\geq 0} is one of the above Brownian motions. That is,

Jβ(μ)=supf𝒞b(d){μ,f1βlog𝔼(e0βf(Bs)ds)},μ1(d).J_{\beta}(\mu)=\sup_{f\in{\mathcal{C}}_{\rm b}(\mathbb{R}^{d})}\Big{\{}\langle\mu,f\rangle-\frac{1}{\beta}\log\mathbb{E}\big{(}{\rm e}^{\int_{0}^{\beta}f(B_{s})\,{\rm d}s}\big{)}\Big{\}},\qquad\mu\in{\mathcal{M}}_{1}(\mathbb{R}^{d}).

Here 1(d){\mathcal{M}}_{1}(\mathbb{R}^{d}) denotes the set of probability measures on d\mathbb{R}^{d}. Note that JβJ_{\beta} depends on the initial distribution of the Brownian motion. One can show that JβJ_{\beta} is not identical to ++\infty. Clearly, JβJ_{\beta} is a lower semi continuous and convex functional on 1(d){\mathcal{M}}_{1}(\mathbb{R}^{d}), which we endow with the topology of weak convergence induced by test integrals against continuous bounded functions. However, JβJ_{\beta} is not a quadratic form coming from any linear operator. We wrote μ,f=df(x)μ(dx)\langle\mu,f\rangle=\int_{\mathbb{R}^{d}}f(x)\,\mu({\rm d}x) and use also the notation f,g=df(x)g(x)dx\langle f,g\rangle=\int_{\mathbb{R}^{d}}f(x)g(x)\,{\rm d}x for integrable functions f,gf,g. If μ\mu possesses a Lebesgue density ϕ2\phi^{2} for some L2L^{2}-normalised ϕL2\phi\in L^{2}, then we also write Jβ(ϕ2)J_{\beta}(\phi^{2}) instead of Jβ(μ)J_{\beta}(\mu). It turns out that Jβ(μ)=J_{\beta}(\mu)=\infty if μ\mu fails to have a Lebesgue density, see Adams, S. et al. (2006b).

In the language of the theory of large deviations, JβJ_{\beta} is the rate function that governs a large deviations principle. The object that satisfies this principle is the mean of the NN normalised occupation measures,

μ¯N,β=1Ni=1Nμβ(i),N.\overline{\mu}_{N,\beta}=\frac{1}{N}\sum_{i=1}^{N}\mu_{\beta}^{{\scriptscriptstyle{({i}})}},\qquad N\in\mathbb{N}.

Roughly speaking, this principle says that, as NN\to\infty,

(μ¯N,βμ)eNJβ(μ),μ1(d).\mathbb{P}(\overline{\mu}_{N,\beta}\approx\mu)\approx{\rm e}^{-NJ_{\beta}(\mu)},\qquad\mu\in{\mathcal{M}}_{1}(\mathbb{R}^{d}).

The principle follows from Cramér’s theorem, together with the exponential tightness of the sequence (μ¯N,β)N(\overline{\mu}_{N,\beta})_{N\in\mathbb{N}}.

To apply this principle, we have to express our Hamiltonians HN,βH_{N,\beta} and KN,βK_{N,\beta} as functionals of μ¯N,β\overline{\mu}_{N,\beta}. For the first this is an easy task and can be done for any fixed NN:

HN,β=NβdW(x)1Ni=1Nμβ(i)(dx)=NβW,μ¯N,β.H_{N,\beta}=N\beta\int_{\mathbb{R}^{d}}W(x)\frac{1}{N}\sum_{i=1}^{N}\mu_{\beta}^{{\scriptscriptstyle{({i}})}}({\rm d}x)=N\beta\bigl{\langle}W,\overline{\mu}_{N,\beta}\bigr{\rangle}.

Now we rewrite the second Hamiltonian, which will need Brownian intersection local times and an approximation for large NN. Let us first introduce the intersection local times, see Geman, D. et al. (1984). For the following, we have to restrict to the case d{2,3}d\in\{2,3\}.

Fix 1i<jN1\leq i<j\leq N and consider the process B(i)B(j)B^{{\scriptscriptstyle{({i}})}}-B^{{\scriptscriptstyle{({j}})}}, the so-called confluent Brownian motion of B(i)B^{{\scriptscriptstyle{({i}})}} and B(j)-B^{{\scriptscriptstyle{({j}})}}. This two-parameter process possesses a local time process, i.e., there is a random process (Lβ(i,j)(x))xd(L^{{\scriptscriptstyle{({i,j}})}}_{\beta}(x))_{x\in\mathbb{R}^{d}} such that, for any bounded and measurable function f:df\colon\mathbb{R}^{d}\to\mathbb{R},

df(x)Lβ(i,j)(x)dx\displaystyle\int_{\mathbb{R}^{d}}f(x)L^{{\scriptscriptstyle{({i,j}})}}_{\beta}(x)\,{\rm d}x =1β20βds0βdtf(Bs(i)Bt(j))\displaystyle=\frac{1}{\beta^{2}}\int_{0}^{\beta}{\rm d}s\int_{0}^{\beta}{\rm d}t\,f\bigl{(}B_{s}^{{\scriptscriptstyle{({i}})}}-B_{t}^{{\scriptscriptstyle{({j}})}}\bigr{)}
=ddμβ(i,j)(dx)μβ(i,j)(dy)f(xy).\displaystyle=\int_{\mathbb{R}^{d}}\int_{\mathbb{R}^{d}}\mu_{\beta}^{{\scriptscriptstyle{({i,j}})}}({\rm d}x)\mu_{\beta}^{{\scriptscriptstyle{({i,j}})}}({\rm d}y)f(x-y).

Hence, we may rewrite KN,β(N)K^{{\scriptscriptstyle{({N}})}}_{N,\beta} as follows:

KN,β(N)\displaystyle K^{{\scriptscriptstyle{({N}})}}_{N,\beta} =βNd11i<jNdv(zN)Lβ(i,j)(z)dz\displaystyle=\beta N^{d-1}\sum_{1\leq i<j\leq N}\int_{\mathbb{R}^{d}}v(zN)L_{\beta}^{{\scriptscriptstyle{({i,j}})}}(z)\,{\rm d}z
=Nβdv(x)1N21i<jNLβ(i,j)(1Nx)dx.\displaystyle=N\beta\int_{\mathbb{R}^{d}}v(x)\frac{1}{N^{2}}\sum_{1\leq i<j\leq N}L_{\beta}^{{\scriptscriptstyle{({i,j}})}}({\textstyle{\frac{1}{N}}x})\,{\rm d}x.

It is known (Geman, D. et al., 1984, Th. 1) that (Lβ(i,j)(x))xd(L_{\beta}^{{\scriptscriptstyle{({i,j}})}}(x))_{x\in\mathbb{R}^{d}} may be chosen continuously in the space variable. Furthermore, the random variable Lβ(i,j)(0)=limx0Lβ(i,j)(x)L_{\beta}^{{\scriptscriptstyle{({i,j}})}}(0)=\lim_{x\to 0}L_{\beta}^{{\scriptscriptstyle{({i,j}})}}(x) is equal to the normalised total intersection local time of the two motions B(i)B^{{\scriptscriptstyle{({i}})}} and B(j)B^{{\scriptscriptstyle{({j}})}} up to time β\beta. Formally,

Lβ(i,j)(0)\displaystyle L_{\beta}^{{\scriptscriptstyle{({i,j}})}}(0) =1β2Adx0βds1l{Bs(i)dx}dx0βdt1l{Bt(j)dx}dx\displaystyle=\frac{1}{\beta^{2}}\int_{A}{\rm d}x\,\int_{0}^{\beta}{\rm d}s\,\frac{{\mathchoice{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.5mu\mathrm{l}}{1\mskip-5.0mu\mathrm{l}}}\{B_{s}^{{\scriptscriptstyle{({i}})}}\in{\rm d}x\}}{{\rm d}x}\int_{0}^{\beta}{\rm d}t\,\frac{{\mathchoice{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.0mu\mathrm{l}}{1\mskip-4.5mu\mathrm{l}}{1\mskip-5.0mu\mathrm{l}}}\{B_{t}^{{\scriptscriptstyle{({j}})}}\in{\rm d}x\}}{{\rm d}x}
=Adxμβ(i)(dx)dxμβ(j)(dx)dx,\displaystyle=\int_{A}{\rm d}x\,\frac{\mu_{\beta}^{{\scriptscriptstyle{({i}})}}({\rm d}x)}{{\rm d}x}\frac{\mu_{\beta}^{{\scriptscriptstyle{({j}})}}({\rm d}x)}{{\rm d}x},

Using the continuity of Lβ(i,j)L_{\beta}^{{\scriptscriptstyle{({i,j}})}}, we approximate

KN,β(N)\displaystyle K_{N,\beta}^{{\scriptscriptstyle{({N}})}} Nβ4πα(v)2N21i<jNLβ(i,j)(0)Nβ4πα(v)1Ni=1Nμβ(i),1Ni=1Nμβ(i)\displaystyle\approx N\beta 4\pi{\alpha}(v)\,\frac{2}{N^{2}}\sum_{1\leq i<j\leq N}L_{\beta}^{{\scriptscriptstyle{({i,j}})}}(0)\approx N\beta 4\pi{\alpha}(v)\,\Bigl{\langle}\frac{1}{N}\sum_{i=1}^{N}\mu_{\beta}^{{\scriptscriptstyle{({i}})}},\frac{1}{N}\sum_{i=1}^{N}\mu_{\beta}^{{\scriptscriptstyle{({i}})}}\Bigr{\rangle}
=Nβ4πα(v)dμ¯N,βdx22.\displaystyle=N\beta 4\pi{\alpha}(v)\,\Bigl{\|}\frac{{\rm d}\overline{\mu}_{N,\beta}}{{\rm d}x}\Bigr{\|}_{2}^{2}.

where we conceive μβ(i)\mu_{\beta}^{{\scriptscriptstyle{({i}})}} as densities.

Hence, using Varadhan’s lemma and ignoring the missing continuity of the map μdμdx22\mu\mapsto\|\frac{{\rm d}\mu}{{\rm d}x}\|_{2}^{2}, this heuristic explanation is finished by

𝔼(eHN,βKN,β(N)\displaystyle\mathbb{E}\Big{(}{\rm e}^{-H_{N,\beta}-K^{{\scriptscriptstyle{({N}})}}_{N,\beta}} eNf,μ¯N,β)\displaystyle{\rm e}^{N\langle f,\overline{\mu}_{N,\beta}\rangle}\Big{)}
𝔼(exp{Nβ[Wf,μ¯N,β4πα(v)dμ¯N,βdx22]})\displaystyle\approx\mathbb{E}\Big{(}\exp\Big{\{}-N\beta\Big{[}\bigl{\langle}W-f,\overline{\mu}_{N,\beta}\bigr{\rangle}-4\pi{\alpha}(v)\,\Bigl{\|}\frac{{\rm d}\overline{\mu}_{N,\beta}}{{\rm d}x}\Big{\|}_{2}^{2}\Big{]}\Big{\}}\Big{)}
eNβχα(v)()(f),\displaystyle\approx{\rm e}^{-N\beta\chi_{{\alpha}(v)}^{{\scriptscriptstyle{({\otimes}})}}(f)},

where

χα()(β)=infϕL2(d):ϕ2=1{Jβ(ϕ2)+W,ϕ2+4πα||ϕ||44}.\chi_{{\alpha}}^{{\scriptscriptstyle{({\otimes}})}}(\beta)=\inf_{\phi\in L^{2}(\mathbb{R}^{d})\colon\|\phi\|_{2}=1}\Big{\{}J_{\beta}(\phi^{2})+\langle W,\phi^{2}\rangle+4\pi{\alpha}\,||\phi||_{4}^{4}\Big{\}}. (11)

Here we substituted ϕ2(x)dx=μ(dx)\phi^{2}(x)\,{\rm d}x=\mu({\rm d}x), we may restrict the infimum over probability measures to the set of their Lebesgue densities ϕ2\phi^{2}.

Let us now give the precise formulation of our results.

Theorem 4.4 (Many-particle limit for the Hartree model)

Assume that d{2,3}d\in\{2,3\} and let WW and vv satisfy Assumptions (W) and (v), respectively. Introduce

α(v):=dv(|y|)dy<.{\alpha}(v):=\int_{\mathbb{R}^{d}}v(|y|)\,{\rm d}y<\infty.

Fix β>0\beta>0. Then, as NN\to\infty, the mean μ¯N,β=1Ni=1Nμβ(i)\overline{\mu}_{N,\beta}=\frac{1}{N}\sum_{i=1}^{N}\mu_{\beta}^{{\scriptscriptstyle{({i}})}} of the normalised occupation measures satisfies a large deviation principle on 1(d){\mathcal{M}}_{1}(\mathbb{R}^{d}) under the measure with density eHN,βKN,β(N){\rm e}^{-H_{N,\beta}-K_{N,\beta}^{{\scriptscriptstyle{({N}})}}} with speed NβN\beta and rate function

Iβ()(μ)={Jβ(ϕ2)+W,ϕ2+12α(v)ϕ44if ϕ2=dμdx exists,otherwise.I^{{\scriptscriptstyle{({\otimes}})}}_{\beta}(\mu)=\begin{cases}J_{\beta}(\phi^{2})+\langle W,\phi^{2}\rangle+\frac{1}{2}{{\alpha}}(v)\,||\phi||_{4}^{4}&\text{if }\phi^{2}=\frac{{\rm d}\mu}{{\rm d}x}\text{ exists,}\\ \infty&\text{otherwise.}\end{cases}

The level sets {μ1(d):Iβ()(μ)c}\{\mu\in{\mathcal{M}}_{1}(\mathbb{R}^{d})\colon I^{{\scriptscriptstyle{({\otimes}})}}_{\beta}(\mu)\leq c\}, cc\in\mathbb{R}, are compact.

Lemma 4.5 (Analysis of χα()(β)\boldsymbol{\chi_{{\alpha}}^{{\scriptscriptstyle{({\otimes}})}}(\beta)})

Fix β>0\beta>0 and α>0{\alpha}>0.

  1. (i)

    There exists a unique L2L^{2}-normalised minimiser ϕL2(d)L4(d)\phi_{*}\in L^{2}(\mathbb{R}^{d})\cap L^{4}(\mathbb{R}^{d}) of the right hand side of (11).

  2. (ii)

    For any neighbourhood 𝒩L2(d)L4(d){\mathcal{N}}\subset L^{2}(\mathbb{R}^{d})\cap L^{4}(\mathbb{R}^{d}) of ϕ\phi_{*},

    infϕL2(d):ϕ2=1,ϕ𝒩{Jβ(ϕ2)+W,ϕ2+4πα||ϕ||44}>χα()(β).\inf_{\phi\in L^{2}(\mathbb{R}^{d})\colon\|\phi\|_{2}=1,\phi\notin{\mathcal{N}}}\Bigl{\{}J_{\beta}(\phi^{2})+\langle W,\phi^{2}\rangle+4\pi{\alpha}||\phi||_{4}^{4}\Big{\}}>\chi_{{\alpha}}^{{\scriptscriptstyle{({\otimes}})}}(\beta).

    Here ‘neighbourhood’ refers to any of the three following topologies: weakly in L2L^{2}, weakly in L4L^{4}, and weakly in the sense of probability measures, if ϕ\phi is identified with the measure ϕ(x)2dx\phi(x)^{2}\,{\rm d}x.

Corollary 4.6 (Free energy for positive temperature)

Let the assumptions of the previous Theorem 4.4 be satisfied. Then the specific free energy per particle is

limN1βNlog𝔼(eHN,βKN,β(N))=χα(v)()(β).\lim_{N\to\infty}\frac{1}{-\beta N}\log\mathbb{E}\big{(}{\rm e}^{-H_{N,\beta}-K^{{\scriptscriptstyle{({N}})}}_{N,\beta}}\big{)}=\chi^{{\scriptscriptstyle{({\otimes}})}}_{{{\alpha}}(v)}(\beta).

References

  • Adams (2007a) Adams, S. (2007a). Interacting Brownian bridges and probabilistic interpretation of Bose-Einstein condensation. Habilitation thesis, University Leipzig.
  • Adams (2007b) Adams, S. (2007b). Large deviations for empirical measures in cycles of integer partitions and their relation to boson symmetrisation.
  • Adams (2007c) Adams, S. (2007c). Large deviations for empirical path measures in cycles of integer partitions. preprint arXiV:math.PR/0702052v2.
  • Adams (2007d) Adams, S. (2007d). Large deviations for shape measures of integer partitions under non-uniform distribution. in preparation.
  • Adams, S. and Bru, J.-B. (2004a) Adams, S. and Bru, J.-B. (2004a). Critical Analysis of the Bogoliubov Theory of Superfluidity. Physica A 332, 60–78.
  • Adams, S. and Bru, J.-B. (2004b) Adams, S. and Bru, J.-B. (2004b). Exact solution of the AVZ-Hamiltonian in the grand-canonical ensemble. Ann. Henri Poincaré 5, 405–434.
  • Adams, S. and Bru, J.-B. (2004c) Adams, S. and Bru, J.-B. (2004c). A New Microscopic Theory of Superfluidity at all Temperatures. Ann. Henri Poincaré 5, 435–476.
  • Adams, S. et al. (2006a) Adams, S., Bru, J.-B., and König, W. (2006a). Large deviations for trapped interacting Brownian particles and paths. Ann. Probab. 34(4), 1340–1422.
  • Adams, S. et al. (2006b) Adams, S., Bru, J.-B., and König, W. (2006b). Large systems of path-repellent Brownian motions in a trap at positive temperature. Electronic Journal of Probability 11.
  • Adams, S. et al. (2007) Adams, S., Collevecchio, A., and König, W. (2007). A variational formula for the free energy of non-dilute many-particle systems. in preparation.
  • Adams, S. and Dorlas, T. (2007a) Adams, S. and Dorlas, T. (2007a). Asymptotic Feynman-Kac formulae for large symmetrised systems of random walks. Annales de l’institut Henri Poincaré (B) Probabilités et Statistiques. in press, preprint arXiV:math-ph/0610026.
  • Adams, S. and Dorlas, T. (2007b) Adams, S. and Dorlas, T. (2007b). C-algebraic approach to the Bose-Hubbard model. preprint math-ph arXiv: 0708.0518v.
  • Adams, S. et al. (2007) Adams, S., Georgii, H.O., and Kotecký, R. (2007). Gibbs measures for random permutations. in preparation.
  • Adams, S. and König, W. (2007) Adams, S. and König, W. (2007). Large deviations for many Brownian bridges with symmetrised initial-terminal condition. Prob. Theory Relat. Fields. accepted for publication, preprint arXiV:math.PR/0603702.
  • Anderson, M.H. et al. (1995) Anderson, M.H., Ensher, J.R., Matthews, M.R., Wieman, C.E., and Cornell, E.A. (1995). Observation of Bose-Einstein condensation in a dilute atomic vapor. Science 269, 198–201.
  • Bolthausen, E. et al. (1993) Bolthausen, E., Deuschel, J.D., and Schmock, U. (1993). Convergence of path measures arising from a mean field or polaron type interaction. Probab. Theory Related Fields 95, 283–310.
  • Bose (1924) Bose, S. (1924). Zeitschrift für Physik 26, 178.
  • Bradley, C.C. et al. (1995) Bradley, C.C., Sackett, C.A., Tollet, J.J., and Hulet, R.G. (1995). Evidence of Bose-Einstein condensation in an atomic gas with attractive interactions. Phys. Rev. Lett. 75, 1687–1690.
  • Dalfovo, F. et al. (1999) Dalfovo, F., Giorgini, S., Pitaevskii, L.P., and Stringari, S. (1999). Theory of Bose-Einstein condensation in trapped gases. Rev. Mod. Phys. 71:3, 463–512.
  • Davis, K.B. et al. (1995) Davis, K.B., Mewes, M.O., Andrews, M.R., van Druten, N.J., Durfee, D.S., Kurn, D.M., and Ketterle, W. (1995). Bose-Einstein condensation in a gas of sodium atoms. Phys. Rev. Lett. 75(22), 3969–3973.
  • Dickhoff, W.H. and Van Neck, D. (2005) Dickhoff, W.H. and Van Neck, D. (2005). Many-Body Theory Exposed. World Scientific, Singapore.
  • Donsker, M.D. and Varadhan, S.R.S. (1983) Donsker, M.D. and Varadhan, S.R.S. (1983). Asymptotics for the polaron. Comm. Pure Appl. Math. 36:4, 505–528.
  • Einstein (1925) Einstein, A. (1925). Sitzber. Kgl. Preuss. Akad. Wiss. 3.
  • Fetter, A.L. and Walecka, J.D. (1971) Fetter, A.L. and Walecka, J.D. (1971). Quantum Theory of Many Particle Systems. McGraw-Hill, New York.
  • Feynman (1953) Feynman, R. (1953). Atomic theory of the λ\lambda transition in Helium. Phys. Rev. 91, 1291–1301.
  • Feynman (1955) Feynman, R. (1955). Progress in Low Temperature Physics, Vol. I., pp.  17. Niorth Holland Amsterdam.
  • Geman, D. et al. (1984) Geman, D., Horowitz, J., and Rosen, J. (1984). A local time analysis of intersection of Brownian paths in the plane. Ann. Probab. 12:1, 86–1070.
  • Ginibre (1970) Ginibre, J. (1970). Some Applications of Functional Integration in Statistical Mechanics and Field Theory. Gordon and Breach Science Publ., New York.
  • Gross (1961) Gross, E. (1961). Structure of a quantized vortex in boson systems. Nuovo Cimento 20, 454–477.
  • Gross (1963) Gross, E. (1963). Hydrodynamics of a superfluid condensate. J. Math. Phys. 4:2, 195–207.
  • Landau (1941) Landau, L. (1941). The theory of superfluidity of Helium II. J. Phys. USSR 5, 71.
  • Landau, L.D. and Lifshitz, E.M. (1951) Landau, L.D. and Lifshitz, E.M. (1951). Statisticheskai Fizika. Fizatgiz Moscow.
  • Lieb, E.H. and Seiringer, R. (2002) Lieb, E.H. and Seiringer, R. (2002). Proof of Bose-Einstein condensation for dilute trapped gases. Phys. Rev. Lett. 88:17, 170409–1–4.
  • Lieb, E.H. et al. (2000a) Lieb, E.H., Seiringer, R., and Yngvason, J. (2000a). Bosons in a trap: A rigorous derivation of the Gross-Pitaevskii energy functional. Phys. Rev. A 61, 043602–1–13.
  • Lieb, E.H. et al. (2000b) Lieb, E.H., Seiringer, R., and Yngvason, J. (2000b). The ground state energy and density of interacting Bosons in a trap. in: Quantum Theory and Symmetries, Goslar 1999; H.D. Doebner, V.K. Dobrev, J.D. Hennig and W. Luecke, eds., World Scientific, 101–110.
  • Lieb, E.H. et al. (2001) Lieb, E.H., Seiringer, R., and Yngvason, J. (2001). A rigorous derivation of the Gross-Pitaevskii energy functional for a two-dimensional Bose gas. Comm. Math. Phys. 224, 17–31.
  • Lieb, E.H. and Yngvason, J. (2001) Lieb, E.H. and Yngvason, J. (2001). The ground state energy of a dilute two-dimensional Bose gas. J. Statist. Phys. 103, 509.
  • London (1938) London, F. (1938). The λ\lambda-Phenomenon of Liquid Helium and the Bose-Einstein Degeneracy. Nature 141, 643.
  • Onsager (1949) Onsager, L. (1949). Statistical hydrodynamics. Nuovo Cimento 6(Suppl. 2), 279–287.
  • Onsager, L. and Penrose, O. (1956) Onsager, L. and Penrose, O. (1956). Bose-Einstein condensation and liquid Helium. Phys. Rev. 104, 576–584.
  • Penrose (1951) Penrose, O. (1951). On the quantum mechanics of Helium II. Phil. Mag. 42, 1373–1377.
  • Pitaevskii (1961) Pitaevskii, L. (1961). Vortex lines in an imperfect Bose gas. Sov. Phys. JETP 13, 451–454.
  • Pitaevskii, L. and Stringari, S. (2003) Pitaevskii, L. and Stringari, S. (2003). Bose-Einstein Condensation. Clarendon Press, Oxford.
  • Popov (1983) Popov, V. (1983). Functional Integrals in Quantum Field Theory and Statistical Physics. Riedel, Dordrecht.
  • Ruelle (1969) Ruelle, D. (1969). Statistical Mechanics: Rigorous Results. Addison-Wesley.