2021 Global eigenvalue distribution of matrices defined by the skew-shift
Arka Adhikari, Marius Lemm, Horng-Tzer Yau
Anal. PDE 14(4): 1153-1198 (2021). DOI: 10.2140/apde.2021.14.1153

Abstract

We consider large Hermitian matrices whose entries are defined by evaluating the exponential function along orbits of the skew-shift j2ω+jy+xmod1 for irrational ω. We prove that the eigenvalue distribution of these matrices converges to the corresponding distribution from random matrix theory on the global scale, namely, the Wigner semicircle law for square matrices and the Marchenko–Pastur law for rectangular matrices. The results evidence the quasirandom nature of the skew-shift dynamics which was observed in other contexts by Bourgain, Goldstein and Schlag and Rudnick, Sarnak and Zaharescu.

Citation

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Arka Adhikari. Marius Lemm. Horng-Tzer Yau. "Global eigenvalue distribution of matrices defined by the skew-shift." Anal. PDE 14 (4) 1153 - 1198, 2021. https://doi.org/10.2140/apde.2021.14.1153

Information

Received: 12 April 2019; Revised: 30 August 2019; Accepted: 2 December 2019; Published: 2021
First available in Project Euclid: 6 January 2022

MathSciNet: MR4283692
zbMATH: 1481.15036
Digital Object Identifier: 10.2140/apde.2021.14.1153

Subjects:
Primary: 60B20
Secondary: 37A50 , 60F05

Keywords: random matrices , semicircle law , skew-shift dynamics

Rights: Copyright © 2021 Mathematical Sciences Publishers

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