Weak poincaré inequality for convolution probability measures

Reference : Weak poincaré inequality for convolution probability measures


	Document type :	E-prints/Working papers : Already available on another site
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Mathematics
	To cite this reference:	http://hdl.handle.net/10993/22992

Title :	Weak poincaré inequality for convolution probability measures
Language :	English
Author, co-author :	Cheng, Li Juan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Mathematics Research Unit >]
	Zhang, Shao Qin []
Publication date :	2016
Peer reviewed :	No
Keywords :	[en] weak Poincaré inequalities ; convolution measures ; Lyapunov conditions
Abstract :	[en] In this article, weak Poincaré inequalities are established for convolution measures by using Lyapunov conditions. As applications, these results are further applied to some explicit cases.
Funders :	Fonds National de la Recherche Luxembourg
Name of the research project :	O14/7628746 GEOMREV
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/22992
Other URL :	http://arxiv.org/abs/1407.4910
source URL :	http://arxiv.org/abs/1407.4910
FnR project :	FnR ; FNR7628746 > Anton Thalmaier > GEOMREV > Geometry Of Random Evolutions > 01/03/2015 > 28/02/2018 > 2014

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