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In the mathematical theory of probability, a Borel right process, named after Émile Borel, is a particular kind of continuous-time random process. Let be a locally compact, separable, metric space. We denote by the Borel subsets of . Let be the space of right continuous maps from and then, let : and the mapping given by is right continuous, we see that for any uniformly continuous function , we have the mapping given by is right continuous. Therefore, together with the monotone class theorem, for any universally measurable function , the mapping given by , is jointly measurable, that is, measurable, and subsequently, the mapping is also -measurable for all finite measures on and on . Here, is the completion of with respect to the product measure . Thus, for any bounded universally measurable function on , the mapping is Lebeague measurable, and hence, for each , one can define : There is enough joint measurability to check that is a Markov resolvent on , which uniquely associated with the Markovian semigroup . Consequently, one may apply Fubini's theorem to see that : The followings are the defining properties of Borel right processes: * Hypothesis Droite 1: :For each probability measure on , there exists a probability measure on such that is a Markov process with initial measure and transition semigroup . * Hypothesis Droite 2: :Let be -excessive for the resolvent on . Then, for each probability measure on , a mapping given by is almost surely right continuous on . 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Borel right process」の詳細全文を読む スポンサード リンク
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