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

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.

Publication Details

Journal
ArXiv.org
Published
2025-08-07
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

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

ArXiv.org
Neural Networks Stability and Synchronization
article

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

article en

Abstract

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.

ArXiv.org
Openalex Percentile: Top 45%
Neural Networks Stability and Synchronization
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Switching Diffusion Systems with Past-Dependent Switching and Countable State Space: Successful Couplings and Strong Ergodicity · ArXiv.org (2025) | TGRS Research Map | TGRS