Sharp $L^q$-Convergence Rate in $p$-Wasserstein Distance for Empirical Measures of Diffusion Processes
Probability
2024-08-20 v1
Abstract
For a class of (non-symmetric) diffusion processes on a length space, which in particular include the (reflecting) diffusion processes on a connected compact Riemannian manifold, the exact convergence rate is derived for uniformly in , where is the empirical measure of the diffusion process, is the unique invariant probability measure, and is the -Wasserstein distance. Moreover, when the dimension parameter is less than , we prove that as for any , where is explicitly given by eigenvalues and eigenfunctions for the symmetric part of the generator.
Keywords
Cite
@article{arxiv.2408.09116,
title = {Sharp $L^q$-Convergence Rate in $p$-Wasserstein Distance for Empirical Measures of Diffusion Processes},
author = {Feng-Yu Wang and Bingyao Wu and Jie-Xiang Zhu},
journal= {arXiv preprint arXiv:2408.09116},
year = {2024}
}