Perturbation analysis for continuous-time Markov chains

被引:0
|
作者
YuanYuan Liu
机构
[1] Central South University,School of Mathematics and Statistics
来源
Science China Mathematics | 2015年 / 58卷
关键词
Markov chains; stationary distribution; perturbation analysis; exponential ergodicity; deviation matrix; 60J27; 60J10;
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学科分类号
摘要
We investigate perturbation for continuous-time Markov chains (CTMCs) on a countable state space. Explicit bounds on ΔD and D are derived in terms of a drift condition, where Δ and D represent the perturbation of the intensity matrices and the deviation matrix, respectively. Moreover, we obtain perturbation bounds on the stationary distributions, which extends the results by Liu (2012) for uniformly bounded CTMCs to general (possibly unbounded) CTMCs. Our arguments are mainly based on the technique of augmented truncations.
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页码:2633 / 2642
页数:9
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