Limiting eigenvalue distribution of random matrices of Ihara zeta function of long-range percolation graphs
Abstract
We consider the ensemble of N× N real random symmetric matrices HN(R) obtained from the determinant form of the Ihara zeta function associated to random graphs N(R) of the long-range percolation radius model with the edge probability determined by a function φ(t). We show that the normalized eigenvalue counting function of HN( R) weakly converges in average as N,R∞, R=o(N) to a unique measure that depends on the limiting average vertex degree of N(R) given by φ1 = ∫ φ(t) dt. This measure converges in the limit of infinite φ1 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.
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