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• W3043704823 abstract "We study the eigenvectors of generalized Wigner matrices with subexponential entries and prove that they delocalize at the optimal rate with overwhelming probability. We also prove high probability delocalization bounds with sharp constants. Our proof uses an analysis of the eigenvector moment flow introduced by Bourgade and Yau (2017) to bound logarithmic moments of eigenvector entries for random matrices with small Gaussian components. We then extend this control to all generalized Wigner matrices by comparison arguments based on a framework of regularized eigenvectors, level repulsion, and the observable employed by Landon, Lopatto, and Marcinek (2018) to compare extremal eigenvalue statistics. Additionally, we prove level repulsion and eigenvalue overcrowding estimates for the entire spectrum, which may be of independent interest." @default.
• W3043704823 created "2020-07-23" @default.
• W3043704823 creator A5072289328 @default.
• W3043704823 creator A5083022273 @default.
• W3043704823 date "2020-07-19" @default.
• W3043704823 modified "2023-09-23" @default.
• W3043704823 title "Optimal Delocalization for Generalized Wigner Matrices" @default.
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• W3043704823 hasPublicationYear "2020" @default.
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