Maximal correlation and monotonicity of free entropy and of Stein discrepancy

被引:2
作者
Dadoun, Benjamin [1 ]
Youssef, Pierre [1 ]
机构
[1] New York Univ Abu Dhabi, Div Sci, Math, Abu Dhabi, U Arab Emirates
来源
ELECTRONIC COMMUNICATIONS IN PROBABILITY | 2021年 / 26卷
关键词
maximal correlation; monotonicity; free entropy; free Stein discrepancy; INFORMATION MEASURE; FISHER INFORMATION; SHANNONS PROBLEM; KERNELS; ANALOGS;
D O I
10.1214/21-ECP391
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We introduce the maximal correlation coefficient R(M-1, M-2) between two noncommutative probability subspaces M-1 and M-2 and show that the maximal correlation coefficient between the sub-algebras generated by s(n) := x(1)+...+x(n) and s(m) := x(1)+...+x(m) equals root m/n for m <= n, where (x(i))(i is an element of N) is a sequence of free and identically distributed noncommutative random variables. This is the free-probability analogue of a result by Dembo-Kagan-Shepp in classical probability. As an application, we use this estimate to provide another simple proof of the monotonicity of the free entropy and free Fisher information in the free central limit theorem. Moreover, we prove that the free Stein Discrepancy introduced by Fathi and Nelson is non-increasing along the free central limit theorem.
引用
收藏
页数:10
相关论文
共 20 条