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随机环境中马氏链的一致弱遍历性
引用本文:李应求,晏小兵,汪和松.随机环境中马氏链的一致弱遍历性[J].电力科学与技术学报,2003,18(3):1-3.
作者姓名:李应求  晏小兵  汪和松
作者单位:长沙理工大学,应用数学研究所,湖南,长沙,410077
基金项目:国家自然科学基金,Hunan Provincial Foundation for Young and Middleaged People,10271020,00JJEY2141,,
摘    要:Cogburn(1984,1990)首先引入了初始时间在原点的弱遍历的概念,并且给出了随机环境中马氏链是弱遍历的一些条件.借鉴Cogbrn的思想,对随机环境中马氏链,引入了初始时间在任意点的一致弱遍历的概念,并且给出了随机环境中马氏链是一致弱遍历的一些条件.

关 键 词:随机环境中马氏链  一致弱遍历的  θ-链

Uniformly Weak Ergodicity of Markov Chains in Random Environments
Abstract.Uniformly Weak Ergodicity of Markov Chains in Random Environments[J].JOurnal of Electric Power Science And Technology,2003,18(3):1-3.
Authors:Abstract
Abstract:Cogburn(1984,1990) first introduced the concept for weakly ergodic that "starting time" is originalpoint, and gave some conditions ensuring that Markov chains in random environments are weakly ergodic. Usingthe ideas of cogburn, for Markov chains in random environments, the definition of uniformly weakly ergodicthat "starting time" is any point are introduced. Some conditions ensuring that Markov chains in random envi-ronments are uniformly weakly ergodic are given.
Keywords:Markov chains in random environments  uniformly weakly ergodic  θ- chain
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