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Spectrum of Random $d$-regular Graphs Up to the Edge (2102.00963v2)
Published 1 Feb 2021 in math.PR, math-ph, math.CO, and math.MP
Abstract: Consider the normalized adjacency matrices of random $d$-regular graphs on $N$ vertices with fixed degree $d\geq3$. We prove that, with probability $1-N{-1+{\varepsilon}}$ for any ${\varepsilon} >0$, the following two properties hold as $N \to \infty$ provided that $d\geq3$: (i) The eigenvalues are close to the classical eigenvalue locations given by the Kesten-McKay distribution. In particular, the extremal eigenvalues are concentrated with polynomial error bound in $N$, i.e. $\lambda_2, |\lambda_N|\leq 2+N{-c}$. (ii) All eigenvectors of random $d$-regular graphs are completely delocalized.