1,490 research outputs found
Random incidence matrices: moments of the spectral density
We study numerically and analytically the spectrum of incidence matrices of
random labeled graphs on N vertices : any pair of vertices is connected by an
edge with probability p. We give two algorithms to compute the moments of the
eigenvalue distribution as explicit polynomials in N and p. For large N and
fixed p the spectrum contains a large eigenvalue at Np and a semi-circle of
"small" eigenvalues. For large N and fixed average connectivity pN (dilute or
sparse random matrices limit), we show that the spectrum always contains a
discrete component. An anomaly in the spectrum near eigenvalue 0 for
connectivity close to e=2.72... is observed. We develop recursion relations to
compute the moments as explicit polynomials in pN. Their growth is slow enough
so that they determine the spectrum. The extension of our methods to the
Laplacian matrix is given in Appendix.
Keywords: random graphs, random matrices, sparse matrices, incidence matrices
spectrum, momentsComment: 39 pages, 9 figures, Latex2e, [v2: ref. added, Sect. 4 modified
Spectral exponential sums on hyperbolic surfaces I
We study an exponential sum over Laplace eigenvalues with for Maass cusp forms on as grows, where
is a cofinite Fuchsian group acting on the upper half-plane .
Specifically, for the congruence subgroups
and , we explicitly describe each sum in terms of a certain
oscillatory component, von Mangoldt-like functions and the Selberg zeta
function. We also establish a new expression of the spectral exponential sum
for a general cofinite group , and in
particular we find that the behavior of the sum is decisively determined by
whether is essentially cuspidal or not. We also work with certain
moonshine groups for which our plotting of the spectral exponential sum alludes
to the fact that the conjectural bound in the Prime
Geodesic Theorem may be allowable. In view of our numerical evidence, the
conjecture of Petridis and Risager is generalized.Comment: 20 pages, 3 figures, comments welcom
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