On the Log-Sobolev Constant of Log-Concave Vectors

Fuente: arXiv
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Auteur principal: Bizeul, Pierre
Format: Preprint
Publié: 2023
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author Bizeul, Pierre
author_facet Bizeul, Pierre
contents It is well known that if a random vector satisfies a log-Sobolev inequality, all of its marginals have subgaussian tails. In the spirit of the KLS conjecture, we investigate whether this implication can be reversed under a log-concavity assumption. In the general setting, we improve on a result of Bobkov, establishing the best dimension dependent bound on the log-Sobolev constant of subgaussian log-concave measures, and we investigate some special cases.
format Preprint
id arxiv_https___arxiv_org_abs_2306_12997
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On the Log-Sobolev Constant of Log-Concave Vectors
Bizeul, Pierre
Functional Analysis
Metric Geometry
Probability
It is well known that if a random vector satisfies a log-Sobolev inequality, all of its marginals have subgaussian tails. In the spirit of the KLS conjecture, we investigate whether this implication can be reversed under a log-concavity assumption. In the general setting, we improve on a result of Bobkov, establishing the best dimension dependent bound on the log-Sobolev constant of subgaussian log-concave measures, and we investigate some special cases.
title On the Log-Sobolev Constant of Log-Concave Vectors
topic Functional Analysis
Metric Geometry
Probability
url https://arxiv.org/abs/2306.12997