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Large deviations and fluctuations of real eigenvalues of elliptic random matrices

Sung-Soo Byun, Leslie Molag, Nick Simm

TL;DR

This work analyzes real eigenvalues of real elliptic Ginibre matrices under strong and weak non-Hermiticity, establishing a central limit theorem for their number and detailing large-deviation probabilities for rare real-eigenvalue configurations. The authors develop a generating-function approach built on a finite generating matrix $M_n^{(\tau)}$, whose trace powers encode cumulants and are tractable through a Pfaffian/skew-orthogonal framework. In the strong regime, they show $\frac{1}{\sqrt{2n}}\operatorname{Tr}(M_n^{(\tau)})^{m}$ converges to a universal bound proportional to $\sqrt{\frac{1+\tau}{1-\tau}}$, enabling a CLT with explicit variance depending on $\tau$; in the weak regime, the traces converge to expressions involving $c(\alpha)$, producing an interpolating behavior between GOE and GinOE. Additionally, they derive a sharp generating-function identity, expressible as a determinant, and obtain explicit large-deviation bounds involving the Riemann zeta function and polylogarithms, with a conjectured equality in the weak regime. The results connect cumulants, kernel asymptotics, and generating functions to quantify fluctuations and rare-event probabilities for real eigenvalues in elliptic random matrices.

Abstract

We study real eigenvalues of $N\times N$ real elliptic Ginibre matrices indexed by a non-Hermiticity parameter $0\leq τ<1$, in both the strong and weak non-Hermiticity regime. Here $N$ is assumed to be an even number. In both regimes, we prove a central limit theorem for the number of real eigenvalues. We also find the asymptotic behaviour of the probability $p_{N,k}^{(τ)}$ that exactly $k$ eigenvalues are real. In the strong non-Hermiticity regime, where $τ$ is fixed, we find \begin{align*} \lim_{N\to\infty} \frac{1}{\sqrt{N}} \log p_{N,k_N}^{(τ)} = -\sqrt\frac{1+τ}{1-τ} \frac{ζ(3/2)}{\sqrt{2π}} \end{align*} for any sequence $(k_N)_N$ of even numbers such that $k_N = o(\frac{\sqrt N}{\log N})$ as $N\to\infty$, where $ζ$ is the Riemann zeta function. In the weak non-Hermiticity regime, where $τ=1-\frac{α^2}{N}$, we obtain \begin{align*} \lim_{N\to\infty} \frac{1}{N} \log p_{N,k_N}^{(τ)} \leq \frac{2}π \int_0^1 \log\left(1-e^{-α^2 s^2}\right) \sqrt{1-s^2} \, ds \end{align*} for any sequence $(k_N)_N$ of even numbers such that $k_N=o(\frac{N}{\log N})$ as $n\to\infty$. This inequality is expected to be an equality.

Large deviations and fluctuations of real eigenvalues of elliptic random matrices

TL;DR

This work analyzes real eigenvalues of real elliptic Ginibre matrices under strong and weak non-Hermiticity, establishing a central limit theorem for their number and detailing large-deviation probabilities for rare real-eigenvalue configurations. The authors develop a generating-function approach built on a finite generating matrix , whose trace powers encode cumulants and are tractable through a Pfaffian/skew-orthogonal framework. In the strong regime, they show converges to a universal bound proportional to , enabling a CLT with explicit variance depending on ; in the weak regime, the traces converge to expressions involving , producing an interpolating behavior between GOE and GinOE. Additionally, they derive a sharp generating-function identity, expressible as a determinant, and obtain explicit large-deviation bounds involving the Riemann zeta function and polylogarithms, with a conjectured equality in the weak regime. The results connect cumulants, kernel asymptotics, and generating functions to quantify fluctuations and rare-event probabilities for real eigenvalues in elliptic random matrices.

Abstract

We study real eigenvalues of real elliptic Ginibre matrices indexed by a non-Hermiticity parameter , in both the strong and weak non-Hermiticity regime. Here is assumed to be an even number. In both regimes, we prove a central limit theorem for the number of real eigenvalues. We also find the asymptotic behaviour of the probability that exactly eigenvalues are real. In the strong non-Hermiticity regime, where is fixed, we find \begin{align*} \lim_{N\to\infty} \frac{1}{\sqrt{N}} \log p_{N,k_N}^{(τ)} = -\sqrt\frac{1+τ}{1-τ} \frac{ζ(3/2)}{\sqrt{2π}} \end{align*} for any sequence of even numbers such that as , where is the Riemann zeta function. In the weak non-Hermiticity regime, where , we obtain \begin{align*} \lim_{N\to\infty} \frac{1}{N} \log p_{N,k_N}^{(τ)} \leq \frac{2}π \int_0^1 \log\left(1-e^{-α^2 s^2}\right) \sqrt{1-s^2} \, ds \end{align*} for any sequence of even numbers such that as . This inequality is expected to be an equality.
Paper Structure (22 sections, 24 theorems, 238 equations, 1 figure)

This paper contains 22 sections, 24 theorems, 238 equations, 1 figure.

Key Result

Theorem 1.1

$$ Let $N$ be even. As $N \to \infty$, we have the convergence in distribution where $N(0,\sigma^2)$ denotes the normal distribution with mean $0$ and variance

Figures (1)

  • Figure 1: Eigenvalues of the eGinOE.

Theorems & Definitions (58)

  • Theorem 1.1: Central limit theorem for the number of real eigenvalues
  • Theorem 1.2: Large deviations for real eigenvalues at strong non-Hermiticity
  • Theorem 1.3: Large deviations for real eigenvalues at weak non-Hermiticity
  • Remark 1.4: Interpolating property
  • Theorem 1.5
  • Remark 1.6
  • Corollary 1.7
  • proof
  • Corollary 1.8
  • proof
  • ...and 48 more