The rank of diluted random graphs

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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. © Institute of Mathematical Statistics, 2011.

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Bordenave, C., Lelarge, M., & Salez, J. (2011). The rank of diluted random graphs. Annals of Probability, 39(3), 1097–1121. https://doi.org/10.1214/10-AOP567

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