Functional inequalities for convolution probability measures

DOI10.1214/14-AIHP659zbMath1347.60099arXiv1308.1713OpenAlexW2962802640MaRDI QIDQ297468

Jian Wang, Feng-Yu Wang

Publication date: 27 June 2016

Published in: Annales de l'Institut Henri Poincaré. Probabilités et Statistiques (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1308.1713

zbMATH Keywords

convolutionPoincaré inequalityprobability measuressuper Poincaré inequality\(\log\)-Sobolev inequality

Mathematics Subject Classification ID

Stable stochastic processes (60G52) Stochastic analysis (60H99) Integro-differential operators (47G20)

Related Items

Elementary proof of logarithmic Sobolev inequalities for Gaussian convolutions on \(\mathbb{R}\), Random matrices with log-range correlations, and log-Sobolev inequalities, Dimension-free log-Sobolev inequalities for mixture distributions, Weak Poincaré inequalities for convolution probabilities measures

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