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Eigenvalue density of empirical covariance matrix for correlated samples

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Original languageEnglish
Pages (from-to)2641-2652
Number of pages12
JournalActa Physica Polonica B
Volume36
Issue number9
Publication statusPublished - Sep 2005

Abstract

We describe a method to determine the eigenvalue density of empirical covariance matrix in the presence of correlations between samples. This is a straightforward generalization of the method developed earlier by the authors for uncorrelated samples (Z. Burda, A. Gorlich, J. Jurkiewicz, B. Waclaw, cond-mat/0508341). The method allows for exact determination of the experimental spectrum for a given covariance matrix and given correlations between samples in the limit N -> infinity and N/T = r = const with N being the number of degrees of freedom and T being the number of samples. We discuss the effect of correlations on several examples.

    Research areas

  • DIMENSIONAL RANDOM MATRICES, NOISE

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