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Main Authors: Liu, Dang-Zheng, Zhang, Lu
Format: Preprint
Published: 2023
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Online Access:https://arxiv.org/abs/2311.13227
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author Liu, Dang-Zheng
Zhang, Lu
author_facet Liu, Dang-Zheng
Zhang, Lu
contents For the complex Ginibre ensemble subjected to an additive perturbation by a deterministic normal matrix $X_0$, we establish that under specific spectral conditions on $X_0$, only two distinct types of local spectral statistics emerge at the spectral edge: GinUE statistics and critical statistics, which respectively correspond to regular and quadratically vanishing spectral points. The critical statistics, as a non-Hermitian analogue of Pearcey statistics in random matrix theory, describes a novel point process on the complex plane. This identifies the third (and likely final) universal statistics in non-Hermitian random matrix theory, after the established GinUE bulk and edge universality classes, and represents the primary achievement of this paper.
format Preprint
id arxiv_https___arxiv_org_abs_2311_13227
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Critical edge statistics for deformed GinUEs
Liu, Dang-Zheng
Zhang, Lu
Probability
60B20
For the complex Ginibre ensemble subjected to an additive perturbation by a deterministic normal matrix $X_0$, we establish that under specific spectral conditions on $X_0$, only two distinct types of local spectral statistics emerge at the spectral edge: GinUE statistics and critical statistics, which respectively correspond to regular and quadratically vanishing spectral points. The critical statistics, as a non-Hermitian analogue of Pearcey statistics in random matrix theory, describes a novel point process on the complex plane. This identifies the third (and likely final) universal statistics in non-Hermitian random matrix theory, after the established GinUE bulk and edge universality classes, and represents the primary achievement of this paper.
title Critical edge statistics for deformed GinUEs
topic Probability
60B20
url https://arxiv.org/abs/2311.13227