Asymptotic expansions for a class of Fredholm Pfaffians and interacting particle systems

TL;DR

This paper develops asymptotic expansion theorems for Fredholm Pfaffians associated with certain point processes, using probabilistic methods, and demonstrates their application to various models in interacting particle systems and random matrix theory.

Contribution

Introduces Szeg ext{"o}-type asymptotic expansion theorems for Fredholm Pfaffians of kernels related to interacting particle systems, expanding the analytical tools available for these processes.

Findings

Derived asymptotics for empty interval probabilities

Analyzed non-crossing probabilities in Pfaffian point processes

Applied results to models like Brownian motions and Ginibre ensemble

Abstract

Motivated by the phenomenon of duality for interacting particle systems we introduce two classes of Pfaffian kernels describing a number of Pfaffian point processes in the `bulk' and at the `edge'. Using the probabilistic method due to Mark Kac, we prove two Szeg\H{o}-type asymptotic expansion theorems for the corresponding Fredholm Pfaffians. The idea of the proof is to introduce an effective random walk with transition density determined by the Pfaffian kernel, express the logarithm of the Fredholm Pfaffian through expectations with respect to the random walk, and analyse the expectations using general results on random walks. We demonstrate the utility of the theorems by calculating asymptotics for the empty interval and non-crossing probabilities for a number of examples of Pfaffian point processes: coalescing/annihilating Brownian motions, massive coalescing Brownian motions, real zeros of Gaussian power series and Kac polynomials, and real eigenvalues for the real Ginibre ensemble.