arXiv:0804.3089 [math.PR]AbstractReferencesReviewsResources
A characterization of dimension free concentration in terms of transportation inequalities
Published 2008-04-18Version 1
The aim of this paper is to show that a probability measure concentrates independently of the dimension like a gaussian measure if and only if it verifies Talagrand's $\T_2$ transportation-cost inequality. This theorem permits us to give a new and very short proof of a result of Otto and Villani. Generalizations to other types of concentration are also considered. In particular, one shows that the Poincar\'e inequality is equivalent to a certain form of dimension free exponential concentration. The proofs of these results rely on simple Large Deviations techniques.
Comments: 18 p
Journal: Annals of Probability 37, 6 (2009) 2480--2498
DOI: 10.1214/09-AOP470
Keywords: dimension free concentration, inequality, transportation inequalities, characterization, simple large deviations techniques
Tags: journal article
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