An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities

The optimal transport map between the standard Gaussian measure and an $\alpha $-strongly log-concave probability measure is $\alpha ^{-1/2}$-Lipschitz, as first observed in a celebrated theorem of Caffarelli. In this paper, we apply two classical covariance inequalities (the Brascamp–Lieb and Cramé...

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Main Authors: Chewi, Sinho, Pooladian, Aram-Alexandre
Format: Article
Language:English
Published: Académie des sciences 2023-11-01
Series:Comptes Rendus. Mathématique
Online Access:https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.486/
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author Chewi, Sinho
Pooladian, Aram-Alexandre
author_facet Chewi, Sinho
Pooladian, Aram-Alexandre
author_sort Chewi, Sinho
collection DOAJ
description The optimal transport map between the standard Gaussian measure and an $\alpha $-strongly log-concave probability measure is $\alpha ^{-1/2}$-Lipschitz, as first observed in a celebrated theorem of Caffarelli. In this paper, we apply two classical covariance inequalities (the Brascamp–Lieb and Cramér–Rao inequalities) to prove a sharp bound on the Lipschitz constant of the map that arises from entropically regularized optimal transport. In the limit as the regularization tends to zero, we obtain an elegant and short proof of Caffarelli’s original result. We also extend Caffarelli’s theorem to the setting in which the Hessians of the log-densities of the measures are bounded by arbitrary positive definite commuting matrices.
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spelling doaj.art-e6acc656fc89479d8cfd7a6c24e048e52023-11-22T14:31:29ZengAcadémie des sciencesComptes Rendus. Mathématique1778-35692023-11-01361G91471148210.5802/crmath.48610.5802/crmath.486An entropic generalization of Caffarelli’s contraction theorem via covariance inequalitiesChewi, Sinho0Pooladian, Aram-Alexandre1School of Mathematics, Institute for Advanced Study, Princeton, USACenter for Data Science, New York University, New York, USAThe optimal transport map between the standard Gaussian measure and an $\alpha $-strongly log-concave probability measure is $\alpha ^{-1/2}$-Lipschitz, as first observed in a celebrated theorem of Caffarelli. In this paper, we apply two classical covariance inequalities (the Brascamp–Lieb and Cramér–Rao inequalities) to prove a sharp bound on the Lipschitz constant of the map that arises from entropically regularized optimal transport. In the limit as the regularization tends to zero, we obtain an elegant and short proof of Caffarelli’s original result. We also extend Caffarelli’s theorem to the setting in which the Hessians of the log-densities of the measures are bounded by arbitrary positive definite commuting matrices.https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.486/
spellingShingle Chewi, Sinho
Pooladian, Aram-Alexandre
An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities
Comptes Rendus. Mathématique
title An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities
title_full An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities
title_fullStr An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities
title_full_unstemmed An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities
title_short An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities
title_sort entropic generalization of caffarelli s contraction theorem via covariance inequalities
url https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.486/
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