Spectral norm of matrices with independent entries up to polyloglog

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1. Verfasser: Meller, Rafał
Format: Preprint
Veröffentlicht: 2025
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author Meller, Rafał
author_facet Meller, Rafał
contents In this paper, we study the expectation of the operator norm of the random matrix (a_{ij} X_{ij}) for i,j <= n, under the assumption that the random variables (X_{ij}) are independent, symmetric and satisfy the moment growth condition ||X_{ij}||{2p} <= C ||X_{ij}||{p} for every p >= 1. We derive an upper bound expressed in terms of quantities that can be explicitly computed in many cases. This bound implies a two-sided estimate, up to a factor given by a power of an iterated logarithm. This factor is considerably smaller than the natural scale of the problem. Our result thus provides positive evidence supporting a conjecture formulated by Rafal Latala and Jan Swiatkowski.
format Preprint
id arxiv_https___arxiv_org_abs_2512_23673
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Spectral norm of matrices with independent entries up to polyloglog
Meller, Rafał
Probability
Functional Analysis
60B20, 46B09
In this paper, we study the expectation of the operator norm of the random matrix (a_{ij} X_{ij}) for i,j <= n, under the assumption that the random variables (X_{ij}) are independent, symmetric and satisfy the moment growth condition ||X_{ij}||{2p} <= C ||X_{ij}||{p} for every p >= 1. We derive an upper bound expressed in terms of quantities that can be explicitly computed in many cases. This bound implies a two-sided estimate, up to a factor given by a power of an iterated logarithm. This factor is considerably smaller than the natural scale of the problem. Our result thus provides positive evidence supporting a conjecture formulated by Rafal Latala and Jan Swiatkowski.
title Spectral norm of matrices with independent entries up to polyloglog
topic Probability
Functional Analysis
60B20, 46B09
url https://arxiv.org/abs/2512.23673