Markovian reduction and exponential mixing in total variation for random dynamical systems

Fuente: arXiv
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Main Authors: Kuksin, Sergei, Shirikyan, Armen
Format: Preprint
Published: 2025
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author Kuksin, Sergei
Shirikyan, Armen
author_facet Kuksin, Sergei
Shirikyan, Armen
contents The paper deals with the problem of large-time behaviour of trajectories for discrete-time dynamical systems driven by a random noise. Assuming that the phase space is finite-dimensional and compact, and the noise is a Markov process with a transition probability satisfying some regularity hypotheses, we prove that all the trajectories converge to a unique measure in the total variation metric. The proof is based on the Markovian reduction of the system in question and a result on mixing for Markov processes. Then we present an extension of this result to the case of systems driven by stationary noises.
format Preprint
id arxiv_https___arxiv_org_abs_2507_09707
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Markovian reduction and exponential mixing in total variation for random dynamical systems
Kuksin, Sergei
Shirikyan, Armen
Probability
Classical Analysis and ODEs
Dynamical Systems
34F05, 37A25, 37H30, 60J05
The paper deals with the problem of large-time behaviour of trajectories for discrete-time dynamical systems driven by a random noise. Assuming that the phase space is finite-dimensional and compact, and the noise is a Markov process with a transition probability satisfying some regularity hypotheses, we prove that all the trajectories converge to a unique measure in the total variation metric. The proof is based on the Markovian reduction of the system in question and a result on mixing for Markov processes. Then we present an extension of this result to the case of systems driven by stationary noises.
title Markovian reduction and exponential mixing in total variation for random dynamical systems
topic Probability
Classical Analysis and ODEs
Dynamical Systems
34F05, 37A25, 37H30, 60J05
url https://arxiv.org/abs/2507.09707