Statistical properties of structured random matrices

Eugene Bogomolny and Olivier Giraud
Phys. Rev. E 103, 042213 – Published 20 April 2021

Abstract

Spectral properties of Hermitian Toeplitz, Hankel, and Toeplitz-plus-Hankel random matrices with independent identically distributed entries are investigated. Combining numerical and analytic arguments it is demonstrated that spectral statistics of all these low-complexity random matrices is of the intermediate type, characterized by: (i) level repulsion at short distances, (ii) an exponential decrease in the nearest-neighbor distributions at long distances, (iii) a nontrivial value of the spectral compressibility, and (iv) the existence of nontrivial fractal dimensions of eigenvectors in Fourier space. Our findings show that intermediate-type statistics is more ubiquitous and universal than was considered so far and open a new direction in random matrix theory.

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  • Received 6 January 2021
  • Accepted 6 April 2021

DOI:https://doi.org/10.1103/PhysRevE.103.042213

©2021 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsInterdisciplinary Physics

Authors & Affiliations

Eugene Bogomolny and Olivier Giraud

  • Université Paris-Saclay, CNRS, LPTMS, 91405 Orsay, France

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Issue

Vol. 103, Iss. 4 — April 2021

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