Perturbation analysis for continuous-time Markov chains

被引：0
|
作者：
LIU YuanYuan [1 ]
机构：
[1] School of Mathematics and Statistics, Central South University
来源：
ScienceChina(Mathematics) | 2015年 / 58卷 / 12期
基金：
中国国家自然科学基金; 中央高校基本科研业务费专项资金资助;
关键词：
Markov chains; stationary distribution; perturbation analysis; exponential ergodicity; deviation matrix;
D O I：
暂无
中图分类号：
O211.62 [马尔可夫过程];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
We investigate perturbation for continuous-time Markov chains(CTMCs) on a countable state space. Explicit bounds on ?D and D are derived in terms of a drift condition, where ? 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：10
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