On the Spectral Norms of Pseudo-Wigner and Related Matrices

被引:0
|
作者
Soloveychik, Ilya [1 ]
Tarokh, Vahid [1 ]
机构
[1] Harvard Univ, John A Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA
关键词
Pseudo-random matrices; spectral norm; Wigner ensemble; sample covariance matrices; PERFECT MAPS; LARGEST EIGENVALUES; CYCLIC CODES; UNIVERSALITY; ARRAYS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We investigate the spectral norms of symmetric N x N matrices from two pseudo-random ensembles. The first is the pseudo-Wigner ensemble introduced in "Pseudo-Wigner Matrices" by Soloveychik, Xiang and Tarokh and the second is its sample covariance-type analog defined in this work. Both ensembles are defined through the concept of r-independence by controlling the amount of randomness in the underlying matrices, and can be constructed from dual BCH codes. We show that when the measure of randomness r grows as N-rho, where rho is an element of (0, 1] and epsilon > 0, the norm of the matrices is almost surely within o(log(1+epsilon)N/N-min[rho,N-2/3] ) distance from 1. Numerical simulations verifying the obtained results are provided.
引用
收藏
页码:61 / 66
页数:6
相关论文
共 50 条