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Matrix Concentration for Products
Foundations of Computational Mathematics ( IF 3 ) Pub Date : 2021-08-13 , DOI: 10.1007/s10208-021-09533-9
De Huang 1 , Joel A. Tropp 1 , Jonathan Niles-Weed 2 , Rachel Ward 3
Affiliation  

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.



中文翻译:

产品的基质浓度

本文为独立随机矩阵的乘积开发了非渐近增长和浓度界限。这些结果对 Henriksen-Ward 最近的工作进行了锐化和概括,它们在精神上与 Ahlswede-Winter 和 Tropp 的独立随机矩阵和的结果相似。该参数依赖于 Schatten 轨迹类的均匀平滑特性。

更新日期:2021-08-19
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