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Resumen de Invertibility of random matrices: norm of the inverse

Mark Rudelson

  • Let A be an n × 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 Cn3 / 2 with probability close to 1.


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