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arXiv 2201.05859math.PRmath.DS
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半马氏动力学随机流的归并

On Merging of Stochastic Flow of Semi-Markov Dynamics

Anindya Goswami, Ravishankar Kapildev Yadav

摘要:

给定一个半马尔可夫律,利用一个附加参数,我们考虑一族对应于该律的随机流。然后,我们适当地选择一个特定的流,我们得到的会议和合并概率的一对半马尔可夫过程,解决相同的方程,但有两个不同的初始条件的表达式。一组充分条件下,任何两个解决方案的流动最终合并的概率为1。

英文摘要:

Given a semi-Markov law, using an additional parameter, we consider a family of stochastic flows corresponding to that law. Then we suitably select a particular flow, for which we obtain expressions of the meeting and merging probabilities of a pair of semi-Markov processes, solving the same equation but having two different initial conditions. A set of sufficient conditions are also obtained under which any two solutions of the flow eventually merge with probability one.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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