English

Invertibility of adjacency matrices for random d-regular directed graphs

Probability 2019-01-01 v3 Combinatorics

Abstract

Let d3d\geq 3 be a fixed integer, and a prime number pp such that gcd(p,d)=1\gcd(p,d)=1. Let AA be the adjacency matrix of a random dd-regular directed graph on nn vertices. We show that as a random matrix in Fp{\mathbb F}_p, \begin{equation} {\mathbb P}(\text{AA is singular in Fp{\mathbb F}_p})\leq \frac{1+{\mathrm{o}}(1)}{p-1}, \end{equation} as nn goes to infinity. As a consequence, as a random matrix in R\mathbb R, \begin{equation} {\mathbb P}(\text{AA is singular in R\mathbb R})={\mathrm{o}}(1) \end{equation} as nn goes to infinity. This answers an open problem by Frieze [12] and Vu [29,30], for random dd-regular bipartite graphs. The proof combines a local central limit theorem and a large deviation estimate.

Keywords

Cite

@article{arxiv.1806.01382,
  title  = {Invertibility of adjacency matrices for random d-regular directed graphs},
  author = {Jiaoyang Huang},
  journal= {arXiv preprint arXiv:1806.01382},
  year   = {2019}
}

Comments

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R2 v1 2026-06-23T02:18:53.210Z