摘要
讨论了■混合阵列行加权和最大值的弱收敛性、L_p收敛性和完全收敛性定理,将独立阵列的相关极限定理推广到了■混合随机阵列情形.
The weak law of large lumbers, Lp convergence and complete convergence for maximal weighted sums of mixing random matrix sequences are discussed. The discussion generalizes corresponding limit results for independent random matrix sequences to mixing random matrix sequences.
出处
《数学的实践与认识》
CSCD
北大核心
2013年第12期204-208,共5页
Mathematics in Practice and Theory
基金
国家自然科学基金(11061012)
广西自然科学基金资助项目(2010GXNSFA013121)
关键词
■混合阵列行加权和
弱收敛
L_p收敛
完全收敛
weighted sums of mixing random matrix sequences
the weak law of largelumbers
Lp convergence
complete convergence
