The Spectral Distribution of Random Graphs with Given Degree Sequences

Fuente: arXiv
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Main Authors: Wang, Shuyi, Li, Kevin, Huang, Jiaoyang
Format: Preprint
Published: 2024
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author Wang, Shuyi
Li, Kevin
Huang, Jiaoyang
author_facet Wang, Shuyi
Li, Kevin
Huang, Jiaoyang
contents In this article, we study random graphs with a given degree sequence $d_1, d_2, \cdots, d_n$ from the configuration model. We show that under mild assumptions of the degree sequence, the spectral distribution of the normalized Laplacian matrix of such random graph converges in distribution to the semicircle distribution as the number of vertices $n\rightarrow \infty$. This extends work by McKay (1981) and Tran, Vu and Wang (2013) which studied random regular graphs ($d_1=d_2=\cdots=d_n=d$). Furthermore, we extend the assumption to show that a slightly more general condition is equivalent to the weak convergence to semicircle distribution. The equivalence is also illustrated by numerical simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2412_02087
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Spectral Distribution of Random Graphs with Given Degree Sequences
Wang, Shuyi
Li, Kevin
Huang, Jiaoyang
Probability
In this article, we study random graphs with a given degree sequence $d_1, d_2, \cdots, d_n$ from the configuration model. We show that under mild assumptions of the degree sequence, the spectral distribution of the normalized Laplacian matrix of such random graph converges in distribution to the semicircle distribution as the number of vertices $n\rightarrow \infty$. This extends work by McKay (1981) and Tran, Vu and Wang (2013) which studied random regular graphs ($d_1=d_2=\cdots=d_n=d$). Furthermore, we extend the assumption to show that a slightly more general condition is equivalent to the weak convergence to semicircle distribution. The equivalence is also illustrated by numerical simulations.
title The Spectral Distribution of Random Graphs with Given Degree Sequences
topic Probability
url https://arxiv.org/abs/2412.02087