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Random Matrices: the Distribution of the Smallest Singular Values
Authors:Terence Tao  Van Vu
Institution:1. Department of Mathematics, UCLA, Los Angeles, CA, 90095-1555, USA
2. Department of Mathematics, Rutgers University, Piscataway, NJ, 08854-8019, USA
Abstract:Let ξ be a real-valued random variable of mean zero and variance 1. Let M n (ξ) denote the n × n random matrix whose entries are iid copies of ξ and σ n (M n (ξ)) denote the least singular value of M n (ξ). The quantity σ n (M n (ξ))2 is thus the least eigenvalue of the Wishart matrix MnMn*{M_nM_n^\ast}.
Keywords:
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