A LARGE DEVIATION INEQUALITY FOR THE RANK OF A RANDOM MATRIX

成果类型:
Article
署名作者:
Rudelson, Mark
署名单位:
University of Michigan System; University of Michigan
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/24-AOP1695
发表日期:
2024
页码:
1992-2018
关键词:
invertibility
摘要:
Let A be an nxn x n random matrix with independent identically distributed nonconstant sub-Gaussian entries. Then for any k <= c ,J n , rank (A) >= n - k with probability at least 1 - exp ( - c l kn) .