English

Subexponential upper and lower bounds in Wasserstein distance for Markov processes

Probability 2022-02-28 v3

Abstract

In this article, relying on Foster-Lyapunov drift conditions, we establish subexponential upper and lower bounds on the rate of convergence in the Lp\mathrm{L}^p-Wasserstein distance for a class of irreducible and aperiodic Markov processes. We further discuss these results in the context of Markov L\'evy-type processes. In the lack of irreducibility and/or aperiodicity properties, we obtain exponential ergodicity in the Lp\mathrm{L}^p-Wasserstein distance for a class of It\^{o} processes under an asymptotic flatness (uniform dissipativity) assumption. Lastly, applications of these results to specific processes are presented, including Langevin tempered diffusion processes, piecewise Ornstein-Uhlenbeck processes with jumps under constant and stationary Markov controls, and backward recurrence time chains, for which we provide a sharp characterization of the rate of convergence via matching upper and lower bounds.

Keywords

Cite

@article{arxiv.1907.05250,
  title  = {Subexponential upper and lower bounds in Wasserstein distance for Markov processes},
  author = {Ari Arapostathis and Guodong Pang and Nikola Sandrić},
  journal= {arXiv preprint arXiv:1907.05250},
  year   = {2022}
}

Comments

32 pages

R2 v1 2026-06-23T10:18:35.231Z