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Spectral norm of random matrices
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing table of contents
Baltimore, MD, USA
SESSION: Session 9B table of contents
Pages: 423 - 430  
Year of Publication: 2005
ISBN:1-58113-960-8
Author
V. H. Vu  UCSD, La Jolla, CA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 28,   Downloads (12 Months): 93,   Citation Count: 3
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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N. Alon, M. Krivelevich and V. Vu, On the concentration of eigenvalues of random symmetric matrices, Israel J. Math.131 (2002), 259--267.
 
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FK Z, Füredi and J. Komlós, The eigenvalues of random symmetric matrices, Combinatorica 1 (1981), no. 3, 233--241.
 
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M. Krivelevich and V. Vu, Approximating the independence number and the chromatic number in expected polynomial time, J. Comb. Optim. 6 (2002), no. 2, 143--155.
 
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M. L. Mehta, Random matrices, Second edition. Academic Press, Inc., Boston, MA, 1991.
 
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Y. Sinai and A. Soshnikov, A Refinement of Wigner's Semicircle Law in a Neighborhood of the Spectrum edge, |it Functional Analysis and its Applications, 32 (1998) , No.2, pp.114--131.
 
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E. Wigner, On the distribution of the roots of certain symmetric matrices, The Annals of Mathematics 67 (1958) 325--327.