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arXiv 1311.2196math.PR
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具有两个时间尺度状态转移的马尔可夫链的约化

Reduction of Markov chains with two-time-scale state transitions

Chen Jia

摘要:

本文考虑一类转移率矩阵依赖于参数$λ>0$的两时间尺度马尔可夫链.我们假设马尔可夫链的某些转移率将趋于无穷大,如$λ\rightarrow\infty$。我们将马尔可夫链$X$的状态空间划分为快状态空间和慢状态空间,并在慢状态空间上定义了一个约化链$Y$。我们的主要结果是,原链$X$的分布将在全变差距离上收敛到约化链$Y$的分布,在时间上一致地收敛到约化链$t$,即$λ\rightarrow\infty$。

英文摘要:

In this paper, we consider a general class of two-time-scale Markov chains whose transition rate matrix depends on a parameter $λ>0$. We assume that some transition rates of the Markov chain will tend to infinity as $λ\rightarrow\infty$. We divide the state space of the Markov chain $X$ into a fast state space and a slow state space and define a reduced chain $Y$ on the slow state space. Our main result is that the distribution of the original chain $X$ will converge in total variation distance to that of the reduced chain $Y$ uniformly in time $t$ as $λ\rightarrow\infty$.

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