Norms of certain random matrices with dependent entries

We consider certain random matrices with pairwise uncorrelated, but dependent entries, that do not belong to the Marchenko-Pastur ensemble (sample covariance matrices), and obtain bounds on their largest eigenvalue. The results show that the higher order correlations have a strong influence on the n...

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Veröffentlicht in:Random operators and stochastic equations 2003-03, Vol.11 (1), p.83-99
1. Verfasser: Niederhauser, Beat M.
Format: Artikel
Sprache:eng
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Zusammenfassung:We consider certain random matrices with pairwise uncorrelated, but dependent entries, that do not belong to the Marchenko-Pastur ensemble (sample covariance matrices), and obtain bounds on their largest eigenvalue. The results show that the higher order correlations have a strong influence on the norm. While the proofs follow the well-known method of calculating the expectation of the trace of high powers of the matrices, the ensuing combinatorial problems are of a novel type.
ISSN:0926-6364
1569-397X
DOI:10.1515/156939703322003999