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Invertibility of random matrices: norm of the inverseby: Mark Rudelson
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AbstractLet A be an n by n matrix, whose entries are independent copies of a centered random variable satisfying the subgaussian tail estimate. We prove that the operator norm of A^-1 does not exceed Cn^3/2 with probability close to 1.
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