English

Global eigenvalue distribution of matrices defined by the skew-shift

Mathematical Physics 2021-07-14 v1 Dynamical Systems math.MP Probability Spectral Theory

Abstract

We consider large Hermitian matrices whose entries are defined by evaluating the exponential function along orbits of the skew-shift (j2)ω+jy+xmod1\binom{j}{2} \omega+jy+x \mod 1 for irrational ω\omega. 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 quasi-random nature of the skew-shift dynamics which was observed in other contexts by Bourgain-Goldstein-Schlag and Rudnick-Sarnak-Zaharescu.

Keywords

Cite

@article{arxiv.1903.11514,
  title  = {Global eigenvalue distribution of matrices defined by the skew-shift},
  author = {Arka Adhikari and Marius Lemm and Horng-Tzer Yau},
  journal= {arXiv preprint arXiv:1903.11514},
  year   = {2021}
}

Comments

46 pages; 11 figures; 1 table

R2 v1 2026-06-23T08:21:06.595Z