Convergence in Wasserstein Distance for Empirical Measures of Dirichlet Diffusion Processes on Manifolds
Feng-Yu Wang

TL;DR
This paper investigates the convergence rates of empirical measures of Dirichlet diffusion processes on compact manifolds in Wasserstein distance, revealing dimension-dependent decay behaviors and spectral bounds.
Contribution
It provides sharp bounds for Wasserstein convergence of empirical measures on manifolds, extending understanding of diffusion process behavior in various dimensions.
Findings
Upper bounds on Wasserstein distance decay depend on manifold dimension.
Explicit decay rates are derived for dimensions 4 and higher.
Convergence bounds relate to Dirichlet eigenvalues of the generator.
Abstract
Let be a -dimensional connected compact Riemannian manifold with boundary , let such that is a probability measure, and let be the diffusion process generated by with . Consider the empirical measure under the condition for the diffusion process. If , then for any initial distribution not fully supported on , \begin{align*} &c\sum_{m=1}^\infty \frac{2}{(\lambda_m-\lambda_0)^2} \le \liminf_{t\to \infty} \inf_{T\ge t} \Big\{t {\mathbb E}\big[\mathbb W_2(\mu_t, \mu_0)^2\big|T<\tau\big]\Big\} \\ &\le \limsup_{t\to \infty} \sup_{T\ge t} \Big\{ t \mathbb E\big[\mathbb W_2(\mu_t, \mu_0)^2\big|T<\tau\big] \Big\}\le \sum_{m=1}^\infty \frac{2}{(\lambda_m-\lambda_0)^2}\end{align*}…
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Taxonomy
TopicsGeometric Analysis and Curvature Flows · Nonlinear Partial Differential Equations · Point processes and geometric inequalities
