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arXiv 1111.0151math.PR
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马尔可夫链中混合时间的分布

The Distribution of Mixing Times in Markov Chains

Jeffrey J. Hunter

摘要:

在离散时间不可约的马尔可夫链中,从状态i开始,“混合时间”或“达到平稳性的时间”的分布可以定义为从马尔可夫链的平稳分布采样的达到状态的试验次数。表达式的概率母函数,因此,概率分布的混合时间开始在状态i推导和特殊情况下探索。这扩展了作者关于混合的期望时间[J. J. Hunter,Mixing times with applications to perturbed Markov chains,线性代数应用417(2006)108-123]和混合时间的方差[J. J. Hunter,Variances of first passage times in a马尔可夫链with applications to mixing times,线性代数应用429(2008)1135-1162]。对三态马尔可夫链的常返时和首达时的分布也给出了一些新的结果。

英文摘要:

The distribution of the "mixing time" or the "time to stationarity" in a discrete time irreducible Markov chain, starting in state i, can be defined as the number of trials to reach a state sampled from the stationary distribution of the Markov chain. Expressions for the probability generating function, and hence the probability distribution of the mixing time starting in state i are derived and special cases explored. This extends the results of the author regarding the expected time to mixing [J.J. Hunter, Mixing times with applications to perturbed Markov chains, Linear Algebra Appl. 417 (2006) 108-123], and the variance of the times to mixing, [J.J. Hunter, Variances of first passage times in a Markov chain with applications to mixing times, Linear Algebra Appl. 429 (2008) 1135-1162]. Some new results for the distribution of recurrence and first passage times in three-state Markov chain are also presented.

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