English

Convergence rate of entropy-regularized multi-marginal optimal transport costs

Optimization and Control 2025-04-30 v3 Analysis of PDEs Functional Analysis

Abstract

We investigate the convergence rate of multi-marginal optimal transport costs that are regularized with the Boltzmann-Shannon entropy, as the noise parameter ε\varepsilon tends to 00. We establish lower and upper bounds on the difference with the unregularized cost of the form Cεlog(1/ε)+O(ε)C\varepsilon\log(1/\varepsilon)+O(\varepsilon) for some explicit dimensional constants CC depending on the marginals and on the ground cost, but not on the optimal transport plans themselves. Upper bounds are obtained for Lipschitz costs or locally semi-concave costs for a finer estimate, and lower bounds for C2\mathscr{C}^2 costs satisfying some signature condition on the mixed second derivatives that may include degenerate costs, thus generalizing results previously in the two marginals case and for non-degenerate costs. We obtain in particular matching bounds in some typical situations where the optimal plan is deterministic.

Keywords

Cite

@article{arxiv.2307.03023,
  title  = {Convergence rate of entropy-regularized multi-marginal optimal transport costs},
  author = {Luca Nenna and Paul Pegon},
  journal= {arXiv preprint arXiv:2307.03023},
  year   = {2025}
}