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Spectral Gap and Edge Universality of Dense Random Regular Graphs

  • Yukun He

摘要

Let \({\mathcal {A}}\) A be the adjacency matrix of a random d-regular graph on N vertices, and we denote its eigenvalues by \(\lambda _1\geqslant \lambda _2\cdots \geqslant \lambda _{N}\) λ 1 λ 2 λ N . For \(N^{2/3+o(1)}\leqslant d\leqslant N/2\) N 2 / 3 + o ( 1 ) d N / 2 , we prove optimal rigidity estimates of the extreme eigenvalues of \({\mathcal {A}}\) A , which in particular imply that \(\begin{aligned} \max \{|\lambda _N|,\lambda _2\} <2\sqrt{d-1} \end{aligned}\) max { | λ N | , λ 2 } < 2 d - 1 with very high probability. In the same regime of d, we also show that \(\begin{aligned} N^{2/3}\bigg (\frac{\lambda _2+d/N}{\sqrt{d(N-d)/N}}-2\bigg ) \overset{d}{\longrightarrow }\ \textrm{TW}_1, \end{aligned}\) N 2 / 3 ( λ 2 + d / N d ( N - d ) / N - 2 ) d TW 1 , where \(\textrm{TW}_1\) TW 1 is the Tracy–Widom distribution for GOE; analogue results also hold for other non-trivial extreme eigenvalues.