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Measure concentration through non-Lipschitz observables and functional inequalities

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Publication:388945
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DOI10.1214/EJP.v18-2425zbMath1282.60024arXiv1202.2341WikidataQ125884082 ScholiaQ125884082MaRDI QIDQ388945

Arnaud Guillin, Aldéric Joulin

Publication date: 17 January 2014

Published in: Electronic Journal of Probability (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1202.2341


zbMATH Keywords

diffusion processinvariant measurefunctional inequalityLyapunov conditionjump processconcentrationcarré du champreversible Markov process


Mathematics Subject Classification ID

Inequalities; stochastic orderings (60E15) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Diffusion processes (60J60) Continuous-time Markov processes on discrete state spaces (60J27)


Related Items

Concentration inequalities for non-Lipschitz functions with bounded derivatives of higher order ⋮ Modified log-Sobolev inequalities, Beckner inequalities and moment estimates



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