Averaging principle for two time-scale regime-switching processes*

被引:3
作者
Mao, Yong-Hua [1 ]
Shao, Jinghai [2 ]
机构
[1] Beijing Normal Univ, Sch Math Sci, Beijing, Peoples R China
[2] Tianjin Univ, Ctr Appl Math, Tianjin 300072, Peoples R China
基金
国家重点研发计划;
关键词
averaging principle; regime-switching; ergodicity; Markov modulated diffusions; LARGE DEVIATIONS; DIFFUSION-PROCESSES; MARKOV-PROCESSES; ERGODICITY; SYSTEMS; ASYMPTOTICS; STABILITY; DRIVEN; CHAINS;
D O I
10.1214/24-EJP1073
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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.
引用
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页数:22
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