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Central Limit Theorem for continuous NN-particle systems in fixed- and high-temperature: single level

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Abstract

We characterize central limit theorems for polynomial linear statistics of continuous NN-particle systems on R\mathbb R, in both the fixed-temperature regime θ=β/2>0θ=β/2>0 and the high-temperature regime Nθ→γ>0Nθ\toγ>0. In each regime, we give necessary and sufficient conditions in terms of the coefficients of the logarithmic Bessel generating function, together with an explicit combinatorial formula for the limiting covariance. At fixed temperature, this formula recovers the classical second-order free moment–cumulant relation, up to the factor 1/θ1/θ; at high temperature, it yields new second-order free γγ-cumulants and their covariance relations. The proof combines moment extraction through Dunkl operators with a topological expansion of the logarithmic multivariate Bessel function indexed by ribbon graphs on surfaces. This expansion gives a topological interpretation of the free-cumulants: only genus zero contributes at fixed temperature, whereas arbitrarily high genera contribute at high temperature. As applications, we prove that ββ-addition preserves the CLT in both regimes and determine its limiting covariance from the input free cumulants, and establish a suitably rescaled transition from the high-temperature covariance to its fixed-temperature counterpart as γ→∞γ\to\infty.

Introduction

Overview

Consider a basic problem for a system of NN particles on R\mathbb{R}: describing its global limit and the fluctuations around that limit as N→∞N \to\infty. The law of large numbers (LLN) characterizes the limiting empirical distribution of the particles, while the central limit theorem (CLT) describes the Gaussian fluctuations of global observables around their means. Such a particle system can be viewed as the spectrum of a Hermitian random matrix, so that the same problem asks for the limiting eigenvalue distribution and the fluctuations of traces of test functions of the matrix. Throughout this paper, we restrict ourselves to polynomial test functions, so that the LLN and CLTs are formulated in terms of joint moments.

This question has two natural extensions. The first is to vary the strength of the interaction between particles. The logarithmic repulsion in the classical invariant matrix ensembles leads to the notion of a β\beta-ensemble, or log-gas, with arbitrary inverse temperature β>0\beta> 0, extending the classical values β=1,2,4\beta= 1, 2, 4. Its joint density on RN\mathbb{R}^{N} takes the form

1ZN,β,Vexp⁡(−βN2∑i=1NV(ai))∏1≤i<j≤N∣ai−aj∣β\frac{1}{Z_{N,\beta,V}} \exp\left(-\frac{\beta N}{2}\sum_{i=1}^{N} V(a_i)\right) \prod_{1 \le i < j \le N} \lvert a_i-a_j\rvert^{\beta}

where VV is a confining potential and ZN,β,VZ_{N,\beta,V} is the normalizing constant; see Forrester [29] for a systematic account. Starting with Johansson [37], a substantial theory of global fluctuations has developed; see, among many others, [24, 15, 57, 4, 41]. Fluctuations at mesoscopic scales have also been studied extensively, including for general and circular β\beta-ensembles [5, 40]; see also [16] for optimal local laws and logarithmically correlated Gaussian fluctuations.

The second extension is to consider addition: how do the global limit and the fluctuations behave when two independent random matrices are added? The classical result of Voiculescu [63] identifies free additive convolution as the operation governing the limiting spectra of broad classes of independent matrices, establishing a fundamental connection between random matrices and free probability. First-order free cumulants linearize this operation and provide the free-probabilistic analogue of classical cumulants; see [50] for a systematic account. At the fluctuation level, Mingo and Speicher developed second-order freeness in [48], with Gaussian and Wishart matrices as fundamental examples. To characterize the covariances of the Gaussian fluctuation under the addition, Collins, Mingo, Śniady, and Speicher [20] introduced the second-order free cumulants and gave the explicit covariance–cumulant relations; see also [47, 49]. In this way, second-order free probability extends the role of free convolution from limiting spectral measures to their fluctuations, and makes it possible to study the latter through quantities that are additive under matrix addition.

For β\beta-ensembles, it is also natural to let the interaction weaken as the number of particles grows, and to ask how the fixed-temperature theory changes as one approaches the case β=0\beta= 0, where particles are independent. This leads to the high-temperature regime, where θ=β/2\theta= \beta/2 tends to zero with Nθ→γ>0N\theta\to\gamma> 0. Varying γ\gamma gives an interpolation between these two situations, after suitable rescaling; already for the Gaussian ensemble, the limiting empirical measures interpolate between the Gaussian and semicircle laws [1]. At the level of fluctuations, the change is equally substantial: normalized global statistics of the classical ensembles fluctuate on the N−1/2N^{-1/2} scale rather than the fixed-temperature N−1N^{-1} scale. High-temperature CLTs have been established for Gaussian ensembles and more general log-gases, see e.g. [51, 26, 46]. From the additive viewpoint, Benaych-Georges, Cuenca, and Gorin [7] introduced γ\gamma-cumulants and a γ\gamma-convolution interpolating between classical and free convolution. Their LLN theory therefore raises the question of whether a similar interpolation exists for the CLT, and what should replace the classical second-order free cumulants in this regime.

The present paper brings together these perspectives by giving a characterization of the CLT for general continuous NN-particle systems in both the fixed- and high-temperature regimes. Under the analytic assumptions stated below, we show that the CLT is equivalent to suitable asymptotic conditions on the coefficients of the logarithmic Bessel generating function, and express the limiting covariance explicitly in terms of the corresponding free cumulants. A principal application is β\beta-addition, a binary operation on NN-particle systems that extends the eigenvalue law of the sum of independent invariant matrices beyond the classical values of β\beta, see [30, 7]. We prove that if both inputs satisfy a CLT in either regime, then their β\beta-addition satisfies a CLT in the same regime, and its limiting covariance is explicitly determined by the first- and second-order free cumulants of the inputs.

An important feature of this characterization is that it does not assume a log-gas density, which makes it suitable for studying operations such as β\beta-addition whose output need not remain in the usual class of log-gases. Much of the fluctuation theory for general β\beta-ensembles has been developed through analytic approaches, including loop equations, master operators, and Stein’s method, see [37, 15, 4, 41, 26]. Here, by working with the Bessel generating function, we obtain a criterion that applies beyond prescribed log-gas densities and is compatible with addition, while also giving a combinatorial description of the covariance through cumulants and weighted lattice paths.

From the free-probabilistic viewpoint, our starting point is symmetric functions and Łukasiewicz paths, rather than an operator-algebraic model or annular non-crossing partitions, used in the classical literature. The resulting combinatorics gives a different description of the same second-order structure at fixed temperature: we show that our covariance formula agrees, up to the factor 1/θ1/\theta, with the classical formula of [20]. Its usefulness becomes more apparent at high temperature, where it provides new second-order free γ\gamma-cumulants and their covariance relations, extending the first-order theory of [7]. While a high-temperature analogue is not immediate from the classical descriptions, it arises naturally from the same symmetric-function and lattice-path formulation.

These results also connect free cumulants with the idea of topological expansions. [13, 12] interpreted the first- and second-order free moment–cumulant relations through ordinary and fully simple maps, relating their generating series by monotone Hurwitz numbers, which count the number of branched coverings of orientable closed surfaces. In a different direction, [32] obtained an expansion of the HCIZ integral in terms of monotone Hurwitz numbers. This is directly related to our setting: the multivariate Bessel function we use in this text specializes to the HCIZ integral at θ=1\theta=1 and extends it to general θ>0\theta>0. Our work, together with the companion LLN paper [22], gives a symmetric-function description of free cumulants through the Bessel topological expansion, derived from a combinatorial expansion of ribbon graphs on surfaces in [18]. It also reveals a distinction between the two temperature regimes: genus zero governs the fixed-temperature limits, whereas contributions of arbitrary genus enter at high temperature. We discuss this perspective and the role of the expansion in § 2.2.

Main results

The main object of this work has a natural representation-theoretic origin. For θ=1/2,1,2\theta=1/2,1,2, let Gθ(N)G_\theta(N) be the orthogonal group O(N)O(N), the unitary group U(N)U(N), and the compact symplectic group Sp(N)Sp(N), respectively. For real NN-tuples aa and x⃗\vec{x}, write A=diag⁡(a)A=\operatorname{diag}(a) and X=diag⁡(x⃗)X=\operatorname{diag}(\vec{x}), and consider the orbital integral

Ba(x⃗;θ)=∫Gθ(N)exp⁡(tr⁡(AUXU∗)) dU.B_a(\vec{x};\theta)=\int_{G_\theta(N)}\exp(\operatorname{tr}(AUXU^*))\,\mathrm{d}U.

where dU\mathrm{d}U is normalized Haar measure.1 For θ=1\theta=1, this is the Harish-Chandra–Itzykson–Zuber (HCIZ) integral [33, 36]; the other two cases are its orthogonal and symplectic analogues. Replacing x⃗\vec{x} by ix⃗i\vec{x} gives the Fourier kernel averaged over a matrix orbit. Such integrals are central to harmonic analysis and representation theory, arising as spherical functions on symmetric spaces of Euclidean type [35], and play an important role in matrix models of mathematical physics [36].

The integral is symmetric separately in aa and x⃗\vec{x}, and is unchanged when the two tuples are exchanged. It admits an expansion in symmetric polynomials parameterized by θ\theta [52], the so-called Jack polynomial, which naturally extends it to every θ>0\theta>0. The resulting multivariate Bessel function Ba(x⃗;θ)B_a(\vec{x};\theta) is entire in (a,x⃗)∈C2N(a,\vec{x})\in\mathbb{C}^{2N} and normalized by Ba(0N;θ)=1B_a(0^N;\theta)=1. For more details of its analytic properties, see the surveys [56, 2] and § 5.2 below.

These functions provide a powerful characterization of a class of continuous particle systems in integrable probability, notably for the β\beta-corners processes [21] and β\beta-addition [7]. The Bessel-function approach has also been used to establish global scaling limits [7, 64, 65, 22] and local edge limits [38, 31]. Their large-NN asymptotics also enter asymptotic representation theory and the study of branching-graph boundaries: examples include the classification of invariant measures on infinite Hermitian matrices [54] and its extension to the orbital beta process [3].

We consider the following class of NN-particle objects. For each NN, let μN\mu_N be either an exponentially decaying probability measure on ordered real NN-tuples, or a compactly supported real symmetric generalized function on RN\mathbb{R}^N with

⟨μN,1⟩=N!.\langle\mu_N,1\rangle=N!.

In the first case, EμN\mathbb{E}_{\mu_N} is the usual expectation; in the second, it denotes the normalized pairing

EμN[f]:=1N!⟨μN,f⟩.\mathbb{E}_{\mu_N}[f]:=\frac{1}{N!}\langle\mu_N,f\rangle.

Thus EμN[1]=1\mathbb{E}_{\mu_N}[1]=1 in either case. For a given μN\mu_N, we define its Bessel generating function as

GN,θ(x⃗):=Gθ(x⃗;μN):=EμN[Ba(x⃗;θ)].G_{N,\theta}(\vec{x}):=G_\theta(\vec{x};\mu_N):=\mathbb{E}_{\mu_N}[B_a(\vec{x};\theta)].

The BGF is a natural analog of the characteristic function/Laplace transform for the NN-particle systems on RN\mathbb{R}^N, and captures all information about the distribution μN\mu_N. While the moments of a random variable can be extracted by derivatives, due to the fact that the Fourier kernel exp⁡(tx)\exp(tx) diagonalizes ddt\frac{d}{dt}, the Bessel function is also eigenfunction of certain difference-differential operators, see § 5.1. Moreover, there is a collection of additive quantities of a random variable, namely the (classical) cumulants, which are bijective to the moments and are encoded by the Taylor coefficients of the logarithm of its Laplace transform. This motivates our study of the logarithmic BGF. Since GN,θG_{N,\theta} is holomorphic near 0N0^N and GN,θ(0N)=1G_{N,\theta}(0^N)=1, its logarithm is well defined near the origin and vanishes at 0N0^N.

Definition 1.1. For any partition λ\lambda such that ∣λ∣≤N|\lambda|\leq N, let cλ=cλ(N,θ)c_\lambda=c_\lambda(N,\theta) denote the coefficient of pλ(x⃗)p_\lambda(\vec{x}) in the Taylor expansion of log⁡GN,θ(x⃗)\log G_{N,\theta}(\vec{x}) at x⃗=0N\vec{x}=0^N; equivalently,

log⁡GN,θ(x⃗)=∑∣λ∣≤Ncλpλ(x⃗)+O(∥x∥N+1).\log G_{N,\theta}(\vec{x})=\sum_{|\lambda|\leq N}c_\lambda p_\lambda(\vec{x})+O(\lVert x\rVert^{N+1}).

For the coordinate tuple a=(a1,…,aN)a=(a_1,\ldots,a_N), consider the polynomial observables

pkN:=1N∑i=1Naik,p~kN:=1N∑i=1N(aiN)k.p_k^N:=\frac{1}{N}\sum_{i=1}^N a_i^k,\qquad\widetilde{p}_k^N:=\frac{1}{N}\sum_{i=1}^N\left(\frac{a_i}{N}\right)^k.

The second normalization is the natural one when the particles themselves have size NN, as in the fixed-temperature framework considered here.

All expectations below mean normalized moment pairings with μN\mu_N. Covariances and classical joint cumulants are defined algebraically from these moments; in particular,

Cov⁡μN(f,g)=EμN[fg]−EμN[f]EμN[g].\operatorname{Cov}_{\mu_N}(f,g)=\mathbb{E}_{\mu_N}[fg]-\mathbb{E}_{\mu_N}[f]\mathbb{E}_{\mu_N}[g].

No positivity is imposed on this bilinear form.

Fixed temperature.

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