h-Wasserstein barycenters

We generalize the notion and theory of Wasserstein barycenters [1] from the quadratic cost to general smooth strictly convex costs h with non-degenerate Hessian. We show the equivalence between a coupled two-marginal and a multi-marginal formulation and establish that the multi-marginal optimal plan is unique and of Monge form. The latter result is a special case of deep abstract results by Pass [14] relying on the machinery of geometric measure theory. Here we provide a new, more quantitative and we believe simpler proof, by deriving an injectivity estimate for the (highly non-injective) map from N -point configurations to their h -barycenter on the support of an optimal multi-marginal plan.

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Publication Details

Journal
Journal of Mathematical Analysis and Applications
Published
2025-08-08
DOI
https://doi.org/10.1016/j.jmaa.2025.129952
Primary Topic
Point processes and geometric inequalities
Type
article
Field-Weighted Citation Impact
0.00

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article

h-Wasserstein barycenters

Camilla Brizzi, Gero Friesecke, Tobias Ried
Journal of Mathematical Analysis and Applications
Point processes and geometric inequalities
article

h-Wasserstein barycenters

Camilla Brizzi, Gero Friesecke, Tobias Ried
article en

Abstract

We generalize the notion and theory of Wasserstein barycenters [1] from the quadratic cost to general smooth strictly convex costs h with non-degenerate Hessian. We show the equivalence between a coupled two-marginal and a multi-marginal formulation and establish that the multi-marginal optimal plan is unique and of Monge form. The latter result is a special case of deep abstract results by Pass [14] relying on the machinery of geometric measure theory. Here we provide a new, more quantitative and we believe simpler proof, by deriving an injectivity estimate for the (highly non-injective) map from N -point configurations to their h -barycenter on the support of an optimal multi-marginal plan.

Journal of Mathematical Analysis and ApplicationsVol. 553(1)
Max Planck Institute for Mathematics in the Sciences (DE), Technical University of Munich (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 69%
Point processes and geometric inequalities
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