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中国科学院大学学报 ›› 2016, Vol. 33 ›› Issue (5): 590-595.DOI: 10.7523/j.issn.2095-6134.2016.05.003

• 数学与物理学 • 上一篇    下一篇

二重随机变量序列的P-收敛性

张志洋, 胡晓予   

  1. 中国科学院大学数学科学学院, 北京 100049
  • 收稿日期:2015-07-08 修回日期:2016-03-24 发布日期:2016-09-15
  • 通讯作者: 胡晓予
  • 基金资助:

    国家自然科学基金(11171342)资助

P-convergence of a double sequence of random variables

ZHANG Zhiyang, HU Xiaoyu   

  1. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2015-07-08 Revised:2016-03-24 Published:2016-09-15

摘要:

研究两种情形下二重随机变量序列{Xn,in≥1,i≥1}的随机和的P-收敛性.一种情形是求和个数(随机变量ξn)与{Xn,in≥1,i≥1}相互独立,另一种情形是{ξnn≥1}与{Xn,in≥1,i≥1}不一定独立.这其中包括变化环境中分枝过程的P-收敛性.

关键词: 二重序列随机和, 分枝过程, P-收敛

Abstract:

In this study we investigate the P-convergence of random sum(say ξn) of a double random sequence of random variables {Xn,i:n≥1,i≥1} in two cases. The first case is that {ξn:n≥1} is independent of Xn,i:n≥1,i≥1},and the second case is that {ξn:n≥1} is not necessarily independent of the double sequence {Xn,i:n≥1,i≥1}.These results include P-convergence of a branching process in varying environments.

Key words: random sum of a double random sequence of random variables, branching process, P-convergence

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