Open Access
2024 Averaging principle for two time-scale regime-switching processes
Yong-Hua Mao, Jinghai Shao
Author Affiliations +
Electron. J. Probab. 29: 1-21 (2024). DOI: 10.1214/24-EJP1073

Abstract

This work studies the averaging principle for a fully coupled two time-scale system, whose slow process is a diffusion process and fast process is a purely jumping process on an infinitely countable state space. The ergodicity of the fast process has important impact on the limit system and the averaging principle. We show that under strongly ergodic condition, the limit system admits a unique solution, and the slow process converges in the L1-norm to the limit system. However, under certain weaker ergodicity condition, the limit system admits a solution, but not necessarily unique, and the slow process can be proved to converge weakly to a solution of the limit system.

Funding Statement

Supported in part by National Key R&D Program of China (No. 2022YFA1006000) and NNSFs of China (No. 12271397, 11831014)

Citation

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Yong-Hua Mao. Jinghai Shao. "Averaging principle for two time-scale regime-switching processes." Electron. J. Probab. 29 1 - 21, 2024. https://doi.org/10.1214/24-EJP1073

Information

Received: 4 March 2023; Accepted: 2 January 2024; Published: 2024
First available in Project Euclid: 1 February 2024

Digital Object Identifier: 10.1214/24-EJP1073

Subjects:
Primary: 34K33 , 37A30 , 60H10 , 60J75

Keywords: averaging principle , ergodicity , Markov modulated diffusions , regime-switching

Vol.29 • 2024
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