Spectral norm of random matrices

  • Authors:
  • V. H. Vu

  • Affiliations:
  • UCSD, La Jolla, CA

  • Venue:
  • Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
  • Year:
  • 2005

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Abstract

In this paper, we present a new upper bound for the spectral norm of symmetric random matrices with independent (but not necessarily identical) entries. Our results improve an earlier result of Füredi and Komlós and also correct an incomplete argument in their proof.