$p$-Wasserstein barycenters

Fuente: arXiv
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Auteurs principaux: Brizzi, Camilla, Friesecke, Gero, Ried, Tobias
Format: Preprint
Publié: 2024
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author Brizzi, Camilla
Friesecke, Gero
Ried, Tobias
author_facet Brizzi, Camilla
Friesecke, Gero
Ried, Tobias
contents We study barycenters of $N$ probability measures on $\mathbb{R}^d$ with respect to the $p$-Wasserstein metric ($1<p<\infty$). We prove that -- $p$-Wasserstein barycenters of absolutely continuous measures are unique, and again absolutely continuous -- $p$-Wasserstein barycenters admit a multi-marginal formulation -- the optimal multi-marginal plan is unique and of Monge form if the marginals are absolutely continuous, and its support has an explicit parametrization as a graph over any marginal space. This extends the Agueh--Carlier theory of Wasserstein barycenters [SIAM J. Math. Anal. 43 (2011), no.2, 904--924] to exponents $p\neq 2$. A key ingredient is a quantitative injectivity estimate for the (highly non-injective) map from $N$-point configurations to their $p$-barycenter on the support of an optimal multi-marginal plan. We also discuss the statistical meaning of $p$-Wasserstein barycenters in one dimension.
format Preprint
id arxiv_https___arxiv_org_abs_2405_09381
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle $p$-Wasserstein barycenters
Brizzi, Camilla
Friesecke, Gero
Ried, Tobias
Analysis of PDEs
Probability
Primary 49Q20, Secondary 49J40, 49K21
We study barycenters of $N$ probability measures on $\mathbb{R}^d$ with respect to the $p$-Wasserstein metric ($1<p<\infty$). We prove that -- $p$-Wasserstein barycenters of absolutely continuous measures are unique, and again absolutely continuous -- $p$-Wasserstein barycenters admit a multi-marginal formulation -- the optimal multi-marginal plan is unique and of Monge form if the marginals are absolutely continuous, and its support has an explicit parametrization as a graph over any marginal space. This extends the Agueh--Carlier theory of Wasserstein barycenters [SIAM J. Math. Anal. 43 (2011), no.2, 904--924] to exponents $p\neq 2$. A key ingredient is a quantitative injectivity estimate for the (highly non-injective) map from $N$-point configurations to their $p$-barycenter on the support of an optimal multi-marginal plan. We also discuss the statistical meaning of $p$-Wasserstein barycenters in one dimension.
title $p$-Wasserstein barycenters
topic Analysis of PDEs
Probability
Primary 49Q20, Secondary 49J40, 49K21
url https://arxiv.org/abs/2405.09381