Log-concavity and concentration bounds for a single gap between GUE eigenvalues

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Johnston, Samuel G. G.
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866912810597875712
author Johnston, Samuel G. G.
author_facet Johnston, Samuel G. G.
contents We observe that the distribution of the eigenvalues of an $N$-by-$N$ GUE random matrix is log-concave on $\mathbb{R}^N$, and that the same is true for the law of a single gap between two consecutive eigenvalues. We use this observation to prove several concentration bounds for the semicircle-renormalised eigengaps, improving on bounds recently obtained in [Tao (2024). On the distribution of eigenvalues of GUE and its minors at fixed index. [arXiv:2412.10889]].
format Preprint
id arxiv_https___arxiv_org_abs_2601_04869
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Log-concavity and concentration bounds for a single gap between GUE eigenvalues
Johnston, Samuel G. G.
Probability
60B20, 52A40, 60G15
We observe that the distribution of the eigenvalues of an $N$-by-$N$ GUE random matrix is log-concave on $\mathbb{R}^N$, and that the same is true for the law of a single gap between two consecutive eigenvalues. We use this observation to prove several concentration bounds for the semicircle-renormalised eigengaps, improving on bounds recently obtained in [Tao (2024). On the distribution of eigenvalues of GUE and its minors at fixed index. [arXiv:2412.10889]].
title Log-concavity and concentration bounds for a single gap between GUE eigenvalues
topic Probability
60B20, 52A40, 60G15
url https://arxiv.org/abs/2601.04869