Switching Diffusion Systems with Past-Dependent Switching and Countable State Space: Successful Couplings and Strong Ergodicity

Fuente: arXiv
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Hauptverfasser: Xi, Fubao, Zhai, Yafei, Zhu, Chao
Format: Preprint
Veröffentlicht: 2025
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author Xi, Fubao
Zhai, Yafei
Zhu, Chao
author_facet Xi, Fubao
Zhai, Yafei
Zhu, Chao
contents This work studies a class of switching diffusion systems where the switching component takes values in a countable state space and its transition rates depend on the history of the continuous component. Under suitable conditions, we construct a successful coupling that establishes stability of the underlying process in the total variation norm. The coupling approach also enables us to derive strong ergodicity for the underlying process. Finally, we illustrate the main results with an $N$-body mean-field model featuring past-dependent switching and a countable state space.
format Preprint
id arxiv_https___arxiv_org_abs_2508_04997
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Switching Diffusion Systems with Past-Dependent Switching and Countable State Space: Successful Couplings and Strong Ergodicity
Xi, Fubao
Zhai, Yafei
Zhu, Chao
Probability
60J25, 60J27, 60J60, 60J75
This work studies a class of switching diffusion systems where the switching component takes values in a countable state space and its transition rates depend on the history of the continuous component. Under suitable conditions, we construct a successful coupling that establishes stability of the underlying process in the total variation norm. The coupling approach also enables us to derive strong ergodicity for the underlying process. Finally, we illustrate the main results with an $N$-body mean-field model featuring past-dependent switching and a countable state space.
title Switching Diffusion Systems with Past-Dependent Switching and Countable State Space: Successful Couplings and Strong Ergodicity
topic Probability
60J25, 60J27, 60J60, 60J75
url https://arxiv.org/abs/2508.04997