Initialization Stability and Convergence of Projected Langevin Dynamics

The entropic regularized optimal transport (EOT) plays a fundamental role in the computation of optimal transport. In \cite{CLP}, the authors proposed a gradient flow approach to EOT, and derived a projected Langevin diffusion that converges in distribution to the solution of EOT when initialized with a coupling between the two given marginals. In this paper, motivated by samplings of optimal couplings for EOT, we analyze the projected Langevin dynamics with arbitrary initial distribution, and prove that its long time behavior is the same as if it was initialized from a coupling.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-26
DOI
https://doi.org/10.48550/arxiv.2610.35369
Primary Topic
Geometric Analysis and Curvature Flows
Type
preprint
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preprint

Initialization Stability and Convergence of Projected Langevin Dynamics

Nathan Sauldubois, Xin Zhang, Qi Feng
arXiv (Cornell University)
Geometric Analysis and Curvature Flows
preprint

Initialization Stability and Convergence of Projected Langevin Dynamics

Nathan Sauldubois, Xin Zhang, Qi Feng
preprint en

Abstract

The entropic regularized optimal transport (EOT) plays a fundamental role in the computation of optimal transport. In \cite{CLP}, the authors proposed a gradient flow approach to EOT, and derived a projected Langevin diffusion that converges in distribution to the solution of EOT when initialized with a coupling between the two given marginals. In this paper, motivated by samplings of optimal couplings for EOT, we analyze the projected Langevin dynamics with arbitrary initial distribution, and prove that its long time behavior is the same as if it was initialized from a coupling.

arXiv (Cornell University)
Geometric Analysis and Curvature Flows
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Initialization Stability and Convergence of Projected Langevin Dynamics — Nathan Sauldubois, Xin Zhang, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS