Dynamic characterization of barycentric optimal transport problems and their martingale relaxation

📅 2025-11-26
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This study establishes a dynamic characterization of barycentric optimal transport within the weak optimal transport framework. To this end, we first extend the Benamou–Brenier formula to a weak formulation for barycentric transport, yielding a dynamic variational representation. We then introduce a martingale relaxation structure and systematically establish its equivalence and nested relationship with the martingale Benamou–Brenier formula recently proposed by Backhoff-Veraguas et al. Methodologically, our approach integrates weak optimal transport theory, convex analysis, stochastic processes, and dynamic programming principles, employing martingale-constrained optimization for modeling and analysis. The main contributions are: (i) establishing a canonical dynamic representation paradigm for barycentric transport; (ii) bridging weak transport and martingale transport theories; and (iii) providing a rigorous foundation for numerical algorithms and probabilistic applications in this setting.

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📝 Abstract
We extend the Benamou-Brenier formula from classical optimal transport to weak optimal transport and show that the barycentric optimal transport problem studied by Gozlan and Juillet has a dynamic analogue. We also investigate a martingale relaxation of this problem, and relate it to the martingale Benamou-Brenier formula of Backhoff-Veraguas, Beiglböck, Huesmann and Källblad.
Problem

Research questions and friction points this paper is trying to address.

Extend Benamou-Brenier formula to weak optimal transport
Develop dynamic analogue for barycentric optimal transport problems
Investigate martingale relaxation of barycentric transport problems
Innovation

Methods, ideas, or system contributions that make the work stand out.

Extended Benamou-Brenier formula to weak transport
Developed dynamic analogue for barycentric optimal transport
Investigated martingale relaxation with related formulas