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连续时间分支过程的一类推广

A Further Extended Class of Continuous-Time Branch Process
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摘要 随机稳定性是各种随机模型中的至关重要的问题 ,随机稳定性的关键问题是找出过程遍历和强遍历的条件 .本文对连续时间分支过程的一类推广进行了研究 ,给出了过程随机单调和强遍历的条件 .与此同时 ,得到了最小过程是 Stochastic stability is of crucial importance in all kind of stochastic models.Such investigation involves finding criterias of ergodicity and strong regodicity. This paper is devoted to studing a further extended class of continuous time branching process. Stochastic monotonicity and strong ergodicity criterias for the processes are presented. In the meantime,we obtain the condition of the minimal process is a Feller transition function.
出处 《长沙铁道学院学报》 CSCD 北大核心 2001年第3期6-11,共6页 Journal of Changsha Railway University
基金 国家自然科学基金 ( 198710 0 6) 湖南省自然科学基金资助项目 (湘科计字 [1999] 2 4 9号 )
关键词 随机单调性 强遍历性 多项式 一致收敛性 Feller转移函数 连续时间分支过程 随机稳定性 stochastic monotonicity strong ergodicity polynamial uniform convergence Feller transition function
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参考文献10

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