Logarithmic Sobolev Inequalities and Concentration of Measure for Convex Functions and Polynomial Chaoses

dc.creatorAdamczak, Radoslaw
dc.date2005-05-10
dc.date2005-07-26
dc.date.accessioned2026-07-07T05:19:45Z
dc.date.available2026-07-07T05:19:45Z
dc.descriptionWe prove logarithmic Sobolev inequalities and concentration results for convex functions and a class of product random vectors. The results are used to derive tail and moment inequalities for chaos variables (in spirit of Talagrand and Arcones, Gine). We also show that the same proof may be used for chaoses generated by log-concave random variables, recovering results by Lochowski and present an application to exponential integrability of Rademacher chaos.
dc.descriptionSlightly enlarged and updated with respect to the previous version. Some misprints corrected
dc.identifierhttps://arxiv.org/abs/math/0505175
dc.identifierhttp://arxiv.org/abs/math/0505175
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/75136
dc.subjectProbability
dc.subjectPrimary 60E15, Secondary 60B11
dc.titleLogarithmic Sobolev Inequalities and Concentration of Measure for Convex Functions and Polynomial Chaoses
dc.typetext

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