Generally, it is not easy to find the exact tail-estimation for the distribution of the minimum value in partial sum sequence of a stationary ergodic Markov chain.

一般情况下对平稳遍历马尔可夫链部分和序列最小值分布进行精确尾估计是较困难的。

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This paper examines port queuing system with single berth. For its imbedded Markov chain, the author gives a necessary and sufficient condition under which the system is ergodic.

港口系统排队模型由两个排队子系统构成。本文对单个泊位(服务台)的情形讨论了它的嵌入马氏链，给出了系统遍历的充分必要条件。

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In this paper, we research that the induced series of this model is geometrically ergodicity Markov chain and this model is adjoint geometrically ergodic.

在这篇文章中，讨论了由这个模型确定的导出序列的遍历性以及该模型的伴随几何遍历性。

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