Law of fractional logarithm for random matrices

Fuente: arXiv
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Main Authors: Bao, Zhigang, Cipolloni, Giorgio, Erdős, László, Henheik, Joscha, Kolupaiev, Oleksii
Format: Preprint
Published: 2025
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author Bao, Zhigang
Cipolloni, Giorgio
Erdős, László
Henheik, Joscha
Kolupaiev, Oleksii
author_facet Bao, Zhigang
Cipolloni, Giorgio
Erdős, László
Henheik, Joscha
Kolupaiev, Oleksii
contents We prove the Paquette-Zeitouni law of fractional logarithm (LFL) for the extreme eigenvalues [arXiv:1505.05627] in full generality, and thereby verify a conjecture from [arXiv:1505.05627]. Our result holds for any Wigner minor process and both symmetry classes, in particular for the GOE minor process, while [arXiv:1505.05627] and the recent full resolution of LFL by Baslingker et.~al.~[arXiv:2410.11836] cover only the GUE case which is determinantal. Lacking the possibility for a direct comparison with the Gaussian case, we develop a robust and natural method for both key parts of the proof. On one hand, we rely on a powerful martingale technique to describe precisely the strong correlation between the largest eigenvalue of an $N\times N$ Wigner matrix and its $(N-k)\times (N-k)$ minor if $k\ll N^{2/3}$. On the other hand, we use dynamical methods to show that this correlation is weak if $k\gg N^{2/3}$.
format Preprint
id arxiv_https___arxiv_org_abs_2503_18922
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Law of fractional logarithm for random matrices
Bao, Zhigang
Cipolloni, Giorgio
Erdős, László
Henheik, Joscha
Kolupaiev, Oleksii
Probability
Mathematical Physics
60B20, 60G55, 82C10
We prove the Paquette-Zeitouni law of fractional logarithm (LFL) for the extreme eigenvalues [arXiv:1505.05627] in full generality, and thereby verify a conjecture from [arXiv:1505.05627]. Our result holds for any Wigner minor process and both symmetry classes, in particular for the GOE minor process, while [arXiv:1505.05627] and the recent full resolution of LFL by Baslingker et.~al.~[arXiv:2410.11836] cover only the GUE case which is determinantal. Lacking the possibility for a direct comparison with the Gaussian case, we develop a robust and natural method for both key parts of the proof. On one hand, we rely on a powerful martingale technique to describe precisely the strong correlation between the largest eigenvalue of an $N\times N$ Wigner matrix and its $(N-k)\times (N-k)$ minor if $k\ll N^{2/3}$. On the other hand, we use dynamical methods to show that this correlation is weak if $k\gg N^{2/3}$.
title Law of fractional logarithm for random matrices
topic Probability
Mathematical Physics
60B20, 60G55, 82C10
url https://arxiv.org/abs/2503.18922