Nesterov acceleration for the Wasserstein minimization of displacement-convex free energies

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1. Verfasser: Monmarché, Pierre
Format: Preprint
Veröffentlicht: 2026
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author Monmarché, Pierre
author_facet Monmarché, Pierre
contents We show that the mean-field underdamped Langevin process (associated to the non-linear Vlasov-Fokker-Planck equation) achieves a Nesterov acceleration with respect to the Wasserstein gradient flow of a displacement-convex free energy, in the sense that it converges at a rate of order given by the square-root of the Polyak-Łojasiewicz constant of the free energy (which is the optimal convergence rate for the corresponding gradient flow). This result has been made possible by the recent breakthrough [42] by Jianfeng Lu, which establishes such a \emph{diffusive-to-ballistic} improvement in term of entropy in the linear case.
format Preprint
id arxiv_https___arxiv_org_abs_2605_13186
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Nesterov acceleration for the Wasserstein minimization of displacement-convex free energies
Monmarché, Pierre
Analysis of PDEs
Optimization and Control
Probability
We show that the mean-field underdamped Langevin process (associated to the non-linear Vlasov-Fokker-Planck equation) achieves a Nesterov acceleration with respect to the Wasserstein gradient flow of a displacement-convex free energy, in the sense that it converges at a rate of order given by the square-root of the Polyak-Łojasiewicz constant of the free energy (which is the optimal convergence rate for the corresponding gradient flow). This result has been made possible by the recent breakthrough [42] by Jianfeng Lu, which establishes such a \emph{diffusive-to-ballistic} improvement in term of entropy in the linear case.
title Nesterov acceleration for the Wasserstein minimization of displacement-convex free energies
topic Analysis of PDEs
Optimization and Control
Probability
url https://arxiv.org/abs/2605.13186