Sharp asymptotics for Fredholm Pfaffians related to interacting particle systems and random matrices

Abstract

It has been known since the pioneering paper of Mark Kac, that the asymptotics of Fredholm determinants can be studied using probabilistic methods. We demonstrate the efficacy of Kac' approach by studying the Fredholm Pfaffian describing the statistics of both non-Hermitian random matrices and annihilating Brownian motions. Namely, we establish the following two results. Firstly, let $\sqrt{N}+{\lambda }_{max}$ be the largest real eigenvalue of a random $N\times N$ matrix with independent $N(0,1)$ entries (the `real Ginibre matrix'). Consider the limiting $N\to \infty$ distribution $\mathbb{P}[{\lambda }_{max}<-L]$ of the shifted maximal real eigenvalue ${\lambda }_{max}$. Then \[ \lim_{L\rightarrow \infty} e^{\frac{1}{2\sqrt{2π}}ζ\left(\frac{3}{2}\right)L} \mathbb{P}\left(λ_{max}<-L\right) =e^{C_e}, \] where $\zeta$ is the Riemann zeta-function and \[ C_e=\frac{1}{2}\log 2+\frac{1}{4π}\sum_{n=1}^{\infty}\frac{1}{n} \left(-π+\sum_{m=1}^{n-1}\frac{1}{\sqrt{m(n-m)}}\right). \] Secondly, let $X_t^{(max)}$ be the position of the rightmost particle at time $t$ for a system of annihilating Brownian motions (ABM's) started from every point of ${\mathbb{R}}_{-}$. Then \[ \lim_{L\rightarrow \infty} e^{\frac{1}{2\sqrt{2π}}ζ\left(\frac{3}{2}\right)L} \mathbb{P}\left(\frac{X_{t}^{(max)}}{\sqrt{4t}}<-L\right) =e^{C_e}. \] These statements are a sharp counterpart of our previous results improved by computing the terms of order $L^0$ in the asymptotic expansion of the corresponding Fredholm Pfaffian.

14 pages

References in corpus (4)

• Random matrices: Universality of local spectral statistics of non-Hermitian matrices
• Extremal laws for the real Ginibre ensemble
• Toeplitz matrices and Toeplitz determinants under the impetus of the Ising model. Some history and some recent results
• Examples of interacting particle systems on $\mathbb{Z}$ as Pfaffian point processes: coalescing branching random walks and annihilating random walks with immigration