Wasserstein Convergence Rate for Empirical Measures on Noncompact Manifolds
Feng-Yu Wang

TL;DR
This paper investigates the rate at which empirical measures of reflecting diffusion processes on manifolds converge in Wasserstein distance, providing explicit bounds and sharp order results in specific geometric and potential settings.
Contribution
It derives explicit convergence rate bounds for empirical measures of diffusions on manifolds, including sharp order results in particular cases with unbounded potentials.
Findings
Explicit upper and lower bounds for convergence rates.
Sharp order results when dimension and potential parameters satisfy certain conditions.
Application to diffusions on Euclidean space with specific potentials.
Abstract
Let be the (reflecting) diffusion process generated by on a complete connected Riemannian manifold possibly with a boundary , where such that is a probability measure. We estimate the convergence rate for the empirical measure \mu_t:=\frac 1 t \int_0^t \delta_{X_s\d s under the Wasserstein distance. As a typical example, when and for some constants and , the explicit upper and lower bounds are present for the convergence rate, which are of sharp order when either or and .
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Taxonomy
TopicsGeometric Analysis and Curvature Flows · Topological and Geometric Data Analysis · Advanced Neuroimaging Techniques and Applications
