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  • 标题:Cyclicity and Weak Convergence for Convolution of Measures on Non-negative Matrices
  • 本地全文:下载
  • 作者:Santanu Chakraborty ; University of Texas ; Pan American, Edinburg, USA
  • 期刊名称:Sankhya. Series A, mathematical statistics and probability
  • 印刷版ISSN:0976-836X
  • 电子版ISSN:0976-8378
  • 出版年度:2007
  • 卷号:69
  • 期号:02
  • 出版社:Indian Statistical Institute
  • 摘要:Let $\mu$ be a probability measure on Borel subsets of $d\times d$ non-negative matrices. Let $S$ be the closed (multiplicative) semigroup generated by the support of $\mu,\, S_{\mu}$. Let the minimal rank of the matrices in $S$ be $2$. Then, we obtain necessary and sufficient conditions for weak convergence of $\mu^{n}$ in terms of cyclicity of $S_{\mu}$ -- a concept first introduced in the work of Chakraborty and Rao (1998, {\it Sankhy\=a A}).
  • 关键词:Convolution sequence, weak convergence, probability measure, semigroups, stochastic matrices, cyclic support
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