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ρ-混合序列部分和的几乎处处收敛性

谭成良12, 吴群英1, 贾 贞1   

  1. 1. 桂林工学院 数理系, 广西 桂林 541004; 2. 广东肇庆高新区党委办公室, 广东 肇庆 526238
  • 收稿日期:2007-09-21 修回日期:1900-01-01 出版日期:2008-07-26 发布日期:2008-07-26
  • 通讯作者: 吴群英

Almost Everywhere Convergences Partial Sum for ρ--Mixing Sequences

TAN Chengliang1,2, WU Qunying1, JIA Zhen1   

  1. 1. Department of Mathematics and Physics, Guilin Institute of Technology, Guilin 541004,Guangxi Zhuang Autonomous Region, China;2. Management Committee Office, Zhaoqing High-Tech Zone, Zhaoqing 526238, Guangdong Province, China
  • Received:2007-09-21 Revised:1900-01-01 Online:2008-07-26 Published:2008-07-26
  • Contact: WU Qunying

摘要: 利用ρ-混合序列的Rosenthal型最大值不等式, 讨论了ρ-混合序列的强收敛性; 在未附加任何其他条件的情况下, 得到了独立情形的HintchineKolmogorov收敛定理、 Marcinkiewicz强大数定律和三级数定理.

关键词: ρ-混合序列, Rosenthal型最大值不等式, 收敛性

Abstract: Using a Rosenthal-type inequality for maximum of partial sums for ρ--mixing random variables, we discussed strong conveigence forρ--mixing random sequences. And we extended the classical HintchineKolmogorov convergence theorem, Marcinkiewicz strong law of large numbers, and the three series theorem etc. for independent sequences of random variables to ρ-mixing sequences of random variables without necessarily adding any extra conditions.

Key words: ρ--mixing sequence, Rosenthal type inequality for maximum, convergence

中图分类号: 

  • O211.4