Law of the Iterated Logarithm for Markov Semigroups with Exponential Mixing in the Wasserstein Distance

Fuente: arXiv
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Main Authors: Czapla, Dawid, Hille, Sander C., Horbacz, Katarzyna, Wojewódka-Ściążko, Hanna
Format: Preprint
Published: 2025
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_version_ 1866917271404806144
author Czapla, Dawid
Hille, Sander C.
Horbacz, Katarzyna
Wojewódka-Ściążko, Hanna
author_facet Czapla, Dawid
Hille, Sander C.
Horbacz, Katarzyna
Wojewódka-Ściążko, Hanna
contents In this paper, we establish the law of the iterated logarithm for a wide class of non-stationary, continuous-time Markov processes evolving on Polish spaces. Specifically, our result applies to certain additive functionals of processes governed by stochastically continuous Markov-Feller semigroups that exhibit exponential mixing and non-expansiveness in the Wasserstein distance, provided that a suitable moment condition involving the initial distribution is satisfied. Furthermore, we outline the application of this result to a Markov process arising as the solution of an infinite-dimensional stochastic differential equation with dissipative drift and additive noise.
format Preprint
id arxiv_https___arxiv_org_abs_2507_01144
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Law of the Iterated Logarithm for Markov Semigroups with Exponential Mixing in the Wasserstein Distance
Czapla, Dawid
Hille, Sander C.
Horbacz, Katarzyna
Wojewódka-Ściążko, Hanna
Probability
Primary: 60J25, 60F15, Secondary: 60H10, 37A30
In this paper, we establish the law of the iterated logarithm for a wide class of non-stationary, continuous-time Markov processes evolving on Polish spaces. Specifically, our result applies to certain additive functionals of processes governed by stochastically continuous Markov-Feller semigroups that exhibit exponential mixing and non-expansiveness in the Wasserstein distance, provided that a suitable moment condition involving the initial distribution is satisfied. Furthermore, we outline the application of this result to a Markov process arising as the solution of an infinite-dimensional stochastic differential equation with dissipative drift and additive noise.
title Law of the Iterated Logarithm for Markov Semigroups with Exponential Mixing in the Wasserstein Distance
topic Probability
Primary: 60J25, 60F15, Secondary: 60H10, 37A30
url https://arxiv.org/abs/2507.01144