Open Access
May 2011 The rank of diluted random graphs
Charles Bordenave, Marc Lelarge, Justin Salez
Ann. Probab. 39(3): 1097-1121 (May 2011). DOI: 10.1214/10-AOP567

Abstract

We investigate the rank of the adjacency matrix of large diluted random graphs: for a sequence of graphs (Gn)n≥0 converging locally to a Galton–Watson tree T (GWT), we provide an explicit formula for the asymptotic multiplicity of the eigenvalue 0 in terms of the degree generating function φ of T. In the first part, we show that the adjacency operator associated with T 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 φ for the expectation of this atomic mass to be precisely the normalized limit of the dimension of the kernel of the adjacency matrices of (Gn)n≥0. Our proofs borrow ideas from analysis of algorithms, functional analysis, random matrix theory and statistical physics.

Citation

Download Citation

Charles Bordenave. Marc Lelarge. Justin Salez. "The rank of diluted random graphs." Ann. Probab. 39 (3) 1097 - 1121, May 2011. https://doi.org/10.1214/10-AOP567

Information

Published: May 2011
First available in Project Euclid: 16 March 2011

zbMATH: 1298.05283
MathSciNet: MR2789584
Digital Object Identifier: 10.1214/10-AOP567

Subjects:
Primary: 05C80 , 15A52
Secondary: 47A10

Keywords: ‎adjacency matrix , Karp and Sipser algorithm , Local weak convergence , Random graphs , random matrices

Rights: Copyright © 2011 Institute of Mathematical Statistics

Vol.39 • No. 3 • May 2011
Back to Top