arXiv:1111.5492 [math-ph]AbstractReferencesReviewsResources
Central limit theorem for fluctuations of linear eigenvalue statistics of large random graphs. Diluted regime
Maria Shcherbina, Brunello Tirozzi
Published 2011-11-23Version 1
We study the linear eigenvalue statistics of large random graphs in the regimes when the mean number of edges for each vertex tends to infinity. We prove that for a rather wide class of test functions the fluctuations of linear eigenvalue statistics converges in distribution to a Gaussian random variable with zero mean and variance which coincides with "non gaussian" part of the Wigner ensemble variance.
Comments: 19 pages
DOI: 10.1063/1.3698291
Keywords: large random graphs, central limit theorem, diluted regime, fluctuations, linear eigenvalue statistics converges
Tags: journal article
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