2018
DOI: 10.48550/arxiv.1807.10112
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Spectra of Adjacency and Laplacian Matrices of Inhomogeneous Erdős-Rényi Random Graphs

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“…≥ λ N (A N ) be the eigenvalues of A N . It was shown in [8] (see also [22] for a graphon approach) that the empirical distribution of the centered adjacency matrix converges, after scaling with √ N ε N , to a compactly supported measure µ f . When f ≡ 1, the limiting law µ f turns out to be the semicircle law.…”
Section: Indian Statistical Institutementioning
confidence: 99%
“…≥ λ N (A N ) be the eigenvalues of A N . It was shown in [8] (see also [22] for a graphon approach) that the empirical distribution of the centered adjacency matrix converges, after scaling with √ N ε N , to a compactly supported measure µ f . When f ≡ 1, the limiting law µ f turns out to be the semicircle law.…”
Section: Indian Statistical Institutementioning
confidence: 99%
“…It is a pertinent question that whether the conclusion involving Marchenko-Pastur law can be replaced by the standard Wigner's semicircle law, w. The measures of the form w ⊠ ρ for some ρ ∈ M + has appeared as the limiting spectral distributions of random matrices (see Anderson and Zeitouni [2008], Chakrabarty et al [2016Chakrabarty et al [ , 2018b), free type W distributions (see Pérez-Abreu and Sakuma [2012]) and in several other places.…”
Section: Some Corollariesmentioning
confidence: 99%