A dynamical formulation of multi-marginal optimal transport

We present a primal-dual dynamical formulation of the multi-marginal optimal transport problem for (semi-)convex cost functions. Even in the two-marginal setting, this formulation applies to cost functions not covered by the classical dynamical approach of Benamou-Brenier. Our dynamical formulation yields a convex optimization problem, enabling the use of convex optimization tools to find quasi-Monge solutions of the static multi-marginal problem for translation-invariant costs. We illustrate our results numerically with proximal splitting methods.

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Journal
ArXiv.org
Published
2025-09-26
Primary Topic
Higher Education Research Studies
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article

A dynamical formulation of multi-marginal optimal transport

ArXiv.org
Higher Education Research Studies
article

A dynamical formulation of multi-marginal optimal transport

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Abstract

We present a primal-dual dynamical formulation of the multi-marginal optimal transport problem for (semi-)convex cost functions. Even in the two-marginal setting, this formulation applies to cost functions not covered by the classical dynamical approach of Benamou-Brenier. Our dynamical formulation yields a convex optimization problem, enabling the use of convex optimization tools to find quasi-Monge solutions of the static multi-marginal problem for translation-invariant costs. We illustrate our results numerically with proximal splitting methods.

ArXiv.org
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Higher Education Research Studies
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A dynamical formulation of multi-marginal optimal transport · ArXiv.org (2025) | TGRS Research Map | TGRS