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Some New Results on Transition Probability

Some New Results on Transition Probability
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摘要 In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, δ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Levy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, δ). Our main tools such as Egoroff's Theorem, Vitali-Hahn-Saks's Theorem and the theory of atomic set and well- posedness of measure are also very interesting and fashionable. In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, δ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Levy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, δ). Our main tools such as Egoroff's Theorem, Vitali-Hahn-Saks's Theorem and the theory of atomic set and well- posedness of measure are also very interesting and fashionable.
作者 Yu Quan XIE
出处 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2008年第12期1965-1984,共20页 数学学报(英文版)
基金 Hunan Provincial Natural Science Foundation of China (06JJ50004) the Construct Program of the Key Discipline in Hunan Province
关键词 Markov processes stationary transition probability maximum probability uniformly standard representation theorem Markov processes, stationary transition probability, maximum probability, uniformly standard, representation theorem
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