The rank of diluted random graphs
Abstract
We investigate the rank of the adjacency matrix of large diluted random graphs: for a sequence of graphs converging locally to a Galton--Watson tree (GWT), we provide an explicit formula for the asymptotic multiplicity of the eigenvalue 0 in terms of the degree generating function of . In the first part, we show that the adjacency operator associated with is always self-adjoint; we analyze the associated spectral measure at the root and characterize the distribution of its atomic mass at 0. In the second part, we establish a sufficient condition on for the expectation of this atomic mass to be precisely the normalized limit of the dimension of the kernel of the adjacency matrices of . Our proofs borrow ideas from analysis of algorithms, functional analysis, random matrix theory and statistical physics.
Cite
@article{arxiv.0907.4244,
title = {The rank of diluted random graphs},
author = {Charles Bordenave and Marc Lelarge and Justin Salez},
journal= {arXiv preprint arXiv:0907.4244},
year = {2015}
}
Comments
Published in at http://dx.doi.org/10.1214/10-AOP567 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)