$\mathsf{GL}_N(\mathbb{C})$ Brownian motion and stochastic PDE on entire functions

Fuente: arXiv
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Main Authors: Assiotis, Theodoros, Mirsajjadi, Zahra Sadat
Format: Preprint
Published: 2026
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author Assiotis, Theodoros
Mirsajjadi, Zahra Sadat
author_facet Assiotis, Theodoros
Mirsajjadi, Zahra Sadat
contents We construct the full edge scaling limit of the singular values of Brownian motion on the general linear group $\mathsf{GL}_N(\mathbb{C})$ starting from general conditions. We show that the limiting paths solve an infinite system of SDE with log-interaction and have a Gibbs resampling property with exponential Brownian bridges. Moreover, we show that the evolution of the limiting rescaled reverse characteristic polynomial solves a stochastic partial differential equation with a non-linear multiplicative noise and linear drift. From a special initial condition the resulting line ensemble coincides, in logarithmic coordinates, with a line ensemble constructed by Ahn which arises as a universal scaling limit of singular values of products of random matrices. We prove some analogous results on the evolution of limiting characteristic polynomials for two models whose stationary measures are given by the Hua-Pickrell and Bessel stochastic zeta functions respectively.
format Preprint
id arxiv_https___arxiv_org_abs_2605_06429
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle $\mathsf{GL}_N(\mathbb{C})$ Brownian motion and stochastic PDE on entire functions
Assiotis, Theodoros
Mirsajjadi, Zahra Sadat
Probability
Mathematical Physics
We construct the full edge scaling limit of the singular values of Brownian motion on the general linear group $\mathsf{GL}_N(\mathbb{C})$ starting from general conditions. We show that the limiting paths solve an infinite system of SDE with log-interaction and have a Gibbs resampling property with exponential Brownian bridges. Moreover, we show that the evolution of the limiting rescaled reverse characteristic polynomial solves a stochastic partial differential equation with a non-linear multiplicative noise and linear drift. From a special initial condition the resulting line ensemble coincides, in logarithmic coordinates, with a line ensemble constructed by Ahn which arises as a universal scaling limit of singular values of products of random matrices. We prove some analogous results on the evolution of limiting characteristic polynomials for two models whose stationary measures are given by the Hua-Pickrell and Bessel stochastic zeta functions respectively.
title $\mathsf{GL}_N(\mathbb{C})$ Brownian motion and stochastic PDE on entire functions
topic Probability
Mathematical Physics
url https://arxiv.org/abs/2605.06429