arXiv Analytics

Sign in

arXiv:0804.3089 [math.PR]AbstractReferencesReviewsResources

A characterization of dimension free concentration in terms of transportation inequalities

Nathael Gozlan

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
Categories: math.PR, math.FA
Subjects: 60E15, 60F10, 26D10
Related articles: Most relevant | Search more
arXiv:math/0608241 [math.PR] (Published 2006-08-10)
Characterization of Talagrand's Like Transportation-Cost Inequalities on the Real Line
arXiv:1702.04698 [math.PR] (Published 2017-02-15)
A characterization of a class of convex log-Sobolev inequalities on the real line
arXiv:1801.05253 [math.PR] (Published 2018-01-16)
A new characterization of endogeny