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双无限环境中马氏链的强大数定律 被引量:7

The Strong Law of Large Numbers for Markov Chains in Double Infinite Environments
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摘要 在随机环境中马氏链的研究领域 ,构造了一时齐的马氏双链 ,讨论了它的存在性及基本性质 ,最后利用马氏双链的性质 ,得到了双无限环境中马氏链的函数极限定律 。 In investigate field of Markov chains in random environments,the Markov bichains is constructed.Their existence and basic properties are discussed.Using their properties,a limit law for function of Markov chain in double infinite environments is obtained.Moreover,two sufficient conditions for the strong law of large numbers for function of Markov chain in double infinite environments are established.
作者 郭明乐
出处 《应用数学》 CSCD 北大核心 2005年第1期174-180,共7页 Mathematica Applicata
基金 安徽省教育厅自然科学基金 ( 2 0 0 3KJ1 65 )
关键词 随机环境 双无限环境中马氏链 强大数定律 Random environments Markov chains in double infinite environments Strong law of large numbers
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参考文献5

  • 1Cogburn R. The ergodic theory of Markov chains in random environments[J]. Z. W. , 1984,66 (2) : 109-128.
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  • 3Cogburn R. On direct convergence and periodicity for transition probabilities of Markov chains in random environments[J]. Ann. Prob. , 1990,18(2) : 642- 654.
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同被引文献33

  • 1万成高.马氏过程函数的强大数定律[J].数学研究,2007,40(1):72-79. 被引量:3
  • 2王汉兴,戴永隆.马氏环境中马氏链的Poisson极限律[J].数学学报(中文版),1997,40(2):265-270. 被引量:32
  • 3Cogburn R. The ergodic theory of Markov chains in random environments[J]. Z Wahrsch Verw Gebiete, 1984, 66(2): 109-128.
  • 4Cogburn R. Markov chains in random environments: the case of Markovian environment[J]. Ann Probab, 1980, 8(3): 908-916.
  • 5Cogburn R. On direct convergence and periodicity for transition probabilities of Markov chains in random environments[J]. Ann Probab, 1990, 18(2): 642-654.
  • 6Orey S. Markov chains with stochastically stationary transition probabilities[J]. Ann Probab, 1991, 19(3): 907-928.
  • 7COGBURN R. Markov chains in random environments, the case of Markovian environment[J], Ann. Prob. ,1980,8(3) :908 -916
  • 8COGBURN R. On the central limit theorem for Markov chains in random environments[J] ,Ann. Prob. ,1991,19(2) :587 -604
  • 9OREY S. Lecture Notes on Limt Theorems for Markov chain Transition Probabilities[ M ]. Van Nostrand Math Studies, Van Nostrand Princeton, 1971
  • 10Cogburn R. The ergodic theory of blarkov chains in random environments [J].Z Wahrsch Vetw Gebiete, 1993,66(2) : 109- 128.

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