论文标题

产品的基质浓度

Matrix Concentration for Products

论文作者

Huang, De, Niles-Weed, Jonathan, Tropp, Joel A., Ward, Rachel

论文摘要

本文为独立随机矩阵的乘积发展了非沉淀生长和浓度界限。这些结果使Henriksen-Ward的最新工作变得更加锐利,并且在精神上与Ahlswede-Winter和Tropp的结果相似,以获得一系列独立的随机矩阵。该参数依赖于schatten痕迹类的均匀平滑度。

This paper develops nonasymptotic growth and concentration bounds for a product of independent random matrices. These results sharpen and generalize recent work of Henriksen-Ward, and they are similar in spirit to the results of Ahlswede-Winter and of Tropp for a sum of independent random matrices. The argument relies on the uniform smoothness properties of the Schatten trace classes.

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