Convergence Rates in Uniform Ergodicity by Hitting Times and L2L^2-exponential Convergence Rates

preprint2022arXivOpen access

Abstract

Generally the convergence rate in exponential ergodicity λλ is an upper bound for the convergence rate κκ in uniform ergodicity for a Markov process, that is λ⩾κλ\geqslantκ. In this paper, we prove that κ⩾inf⁡{lambda,1/MH}κ\geqslant \inf \{lambda,1/M_H\}, where MHM_H is a uniform bound on the moment of the hitting time to a "compact" set HH. In the case where MHM_H can be made arbitrarily small for HH large enough, we obtain that λ=κλ=κ. The general results are applied to Markov chains, diffusion processes and solutions to SDEs driven by symmetric stable processes.

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