Published August 2, 2013 | Version v1
Journal article

A method for calculating spectral statistics based on random-matrix universality with an application to the three-point correlations of the Riemann zeros

  • 1. Université Paris-Sud, CNRS, Laboratoire de Physique Théorique et Modèles statistiques, UMR8626, Orsay, F-91405 (France)
  • 2. School of Mathematics, University of Bristol, Bristol BS8 1TW (United Kingdom)

Description

We illustrate a general method for calculating spectral statistics that combines the universal (random matrix theory limit) and the non-universal (trace-formula-related) contributions by giving a heuristic derivation of the three-point correlation function for the zeros of the Riemann zeta function. The main idea is to construct a generalized Hermitian random matrix ensemble whose mean eigenvalue density coincides with a large but finite portion of the actual density of the spectrum or the Riemann zeros. Averaging the random matrix result over remaining oscillatory terms related, in the case of the zeta function, to small primes leads to a formula for the three-point correlation function that is in agreement with results from other heuristic methods. This provides support for these different methods. The advantage of the approach we set out here is that it incorporates the determinantal structure of the random matrix limit. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1751-8113/46/30/305203

Additional details

Publishing Information

Journal Title
Journal of Physics. A, Mathematical and Theoretical (Online)
Journal Volume
46
Journal Issue
30
Journal Page Range
[17 p.]
ISSN
1751-8121

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44077505
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
CALCULATION METHODS; CORRELATION FUNCTIONS; EIGENVALUES; MATRICES; RANDOMNESS; RIEMANN SHEET; SPECTRA; STATISTICS
Descriptors DEC
FUNCTIONS; MATHEMATICS