Convergence in Wasserstein Distance for Empirical Measures of Dirichlet Diffusion Processes on Manifolds
Abstract
Let M be a d-dimensional connected compact Riemannian manifold with boundary ∂ M, let V∈ C2(M) such that μ( d x):= eV(x) d x is a probability measure, and let Xt be the diffusion process generated by L:=+∇ V with τ:=∈f\t 0: Xt∈∂ M\. Consider the empirical measure μt:= 1 t ∫0t δXs d s under the condition t<τ for the diffusion process. If d 3, then for any initial distribution not fully supported on ∂ M, align* &cΣm=1∞ 2(λm-λ0)2 t ∞ ∈fT t \t E[ W2(μt, μ0)2|T<τ]\ \\ & t ∞ T t \ t E[ W2(μt, μ0)2|T<τ] \ Σm=1∞ 2(λm-λ0)2align* holds for some constant c∈ (0,1] with c=1 when ∂ M is convex, where μ0:= φ02μ for the first Dirichet eigenfunction φ0 of L, \λm\m 0 are the Dirichlet eigenvalues of -L listed in the increasing order counting multiplicities, and the upper bound is finite if and only if d 3. When d=4, T t E[ W2(μt, μ0)2|T<τ] decays in the order t-1 t, while for d 5 it behaves like t- 2 d-2, as t∞.