Axioms
(Mar 2022)
The Spectral Distribution of Random Mixed Graphs
Yue Guan,
Bo Cheng,
Minfeng Chen,
Meili Liang,
Jianxi Liu,
Jinxun Wang,
Chao Yang,
Li Zeng
Affiliations
Yue Guan
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510006, China
Bo Cheng
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510006, China
Minfeng Chen
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510006, China
Meili Liang
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510006, China
Jianxi Liu
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510006, China
Jinxun Wang
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510006, China
Chao Yang
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510006, China
Li Zeng
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510006, China
DOI
https://doi.org/10.3390/axioms11030126
Journal volume & issue
Vol. 11,
no. 3
p.
126
Abstract
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In this work, we propose a random mixed graph model Gn(p(n),q(n)) that incorporates both the classical Erdős-Rényi’s random graph model and the random oriented graph model. We show that the empirical spectral distribution of Gn(p(n),q(n)) converges to the standard semicircle law under some mild condition, and the Monte Carlo simulation highly agrees with our result.
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