Some properties of the classification of states for Markov chains in random environment(Chinese)
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摘要: 引入了绕积马氏链的特征数和状态的定义,研究了特征数L(x,0;F),和G(x,0;F)的概率性质,以此为基础,讨论了强常返和强暂留态在可达和一致可达条件下的运动的传递性,以及弱常返态的特性,从而推广了经典马氏链的相关结果.Abstract: Some basic concepts on the states, such as strongly recurrent state, weakly recurrent state, and strongly transient state, were proposed, and the corresponding Character number L(x,0;F) and G(x,0;F) were studied. On the base of this, Criteria for the states to be accesible and uniformly accesible were given. The results generalized the corresponding results in classical Markov chains.
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