Transportation-information inequalities for Markov processes

In this paper, one investigates the transportation-information T c I inequalities: α ( T c ( ν, μ )) ≤ I ( ν | μ ) for all probability measures ν on a metric space , where  μ is a given probability measure, T c ( ν, μ ) is the transportation cost from ν to  μ with respect to the cost function c ( x...

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Bibliographic Details
Published in:Probability theory and related fields Vol. 144; no. 3-4; pp. 669 - 695
Main Authors: Guillin, Arnaud, Léonard, Christian, Wu, Liming, Yao, Nian
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer-Verlag 01.07.2009
Springer
Springer Nature B.V
Springer Verlag
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ISSN:0178-8051, 1432-2064
Online Access:Get full text
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Summary:In this paper, one investigates the transportation-information T c I inequalities: α ( T c ( ν, μ )) ≤ I ( ν | μ ) for all probability measures ν on a metric space , where  μ is a given probability measure, T c ( ν, μ ) is the transportation cost from ν to  μ with respect to the cost function c ( x , y ) on , I ( ν | μ ) is the Fisher–Donsker–Varadhan information of ν with respect to  μ and α : [0, ∞) → [0, ∞] is a left continuous increasing function. Using large deviation techniques, it is shown that T c I is equivalent to some concentration inequality for the occupation measure of a  μ -reversible ergodic Markov process related to I (·| μ ). The tensorization property of T c I and comparisons of T c I with Poincaré and log-Sobolev inequalities are investigated. Several easy-to-check sufficient conditions are provided for special important cases of T c I and several examples are worked out.
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ISSN:0178-8051
1432-2064
DOI:10.1007/s00440-008-0159-5