Bulk universality for real matrices with independent and identically distributed entries

We consider real, Gauss-divisible matrices At=A+ tB, where B is from the real Ginibre ensemble. We prove that the bulk correlation functions converge to a universal limit for t=O(N−1∕3+ϵ) if A satisfies certain local laws. If A=1 N(ξjk)j,k=1N with ξjk independent and identically distributed real random variables having zero mean, unit variance and finite moments, the Gaussian component can be removed using local laws proven by Bourgade–Yau–Yin, Alt–Erdős–Krüger and Cipolloni–Erdős–Schröder and the four moment theorem of Tao–Vu.

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Publication Details

Journal
Electronic Journal of Probability
Published
2025-01-01
DOI
https://doi.org/10.1214/24-ejp1262
Citations
8
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
21.04

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article

Bulk universality for real matrices with independent and identically distributed entries

Mohammed Osman
8 citations
Electronic Journal of Probability
Random Matrices and Applications
21.04
article

Bulk universality for real matrices with independent and identically distributed entries

Mohammed Osman
article en
8 citations

Abstract

We consider real, Gauss-divisible matrices At=A+ tB, where B is from the real Ginibre ensemble. We prove that the bulk correlation functions converge to a universal limit for t=O(N−1∕3+ϵ) if A satisfies certain local laws. If A=1 N(ξjk)j,k=1N with ξjk independent and identically distributed real random variables having zero mean, unit variance and finite moments, the Gaussian component can be removed using local laws proven by Bourgade–Yau–Yin, Alt–Erdős–Krüger and Cipolloni–Erdős–Schröder and the four moment theorem of Tao–Vu.

Electronic Journal of ProbabilityVol. 30(none)
Queen Mary University of London (GB)
Queen Mary University of London
Openalex Percentile: Top 1%
Random Matrices and Applications
21.04
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