Limiting eigenvalue distribution of random matrices of Ihara zeta function of long-range percolation graphs
Mathematical Physics
2017-12-06 v3 Combinatorics
math.MP
Probability
Abstract
We consider the ensemble of real random symmetric matrices obtained from the determinant form of the Ihara zeta function associated to random graphs of the long-range percolation radius model with the edge probability determined by a function . We show that the normalized eigenvalue counting function of weakly converges in average as , to a unique measure that depends on the limiting average vertex degree of given by . This measure converges in the limit of infinite to a shift of the Wigner semi-circle distribution. We discuss relations of these results with the properties of the Ihara zeta function and weak versions of the graph theory Riemann Hypothesis.
Keywords
Cite
@article{arxiv.1512.09065,
title = {Limiting eigenvalue distribution of random matrices of Ihara zeta function of long-range percolation graphs},
author = {Oleksiy Khorunzhiy},
journal= {arXiv preprint arXiv:1512.09065},
year = {2017}
}
Comments
revised version: 38 pages, 2 figures