A New Window Onto Quantum Chaos
John Evans, Fredrick Michael

TL;DR
This paper explores the statistical properties of symmetric random matrices with elements from a non-extensive power-law distribution, deriving a generalized level-spacing distribution that interpolates between chaotic and integrable regimes.
Contribution
It introduces a non-extensive Wigner distribution parameterized by q, extending classical random matrix theory to non-extensive statistics.
Findings
Recover classical GOE results as q approaches 1
Derive a generalized non-extensive Wigner distribution
Show the distribution interpolates between chaos and integrability
Abstract
In this article the statistical properties of symmetrical random matrices whose elements are drawn from a q-parameterized non-extensive statistics power-law distribution are investigated. In the limit as q->1 the well known Gaussian orthogonal ensemble (GOE) results are recovered. The relevant level spacing distribution is derived and one obtains a suitably generalized non-extensive Wigner distribution which depends on the value of the tunable non-extensivity parameter q. This non-extensive Wigner distribution can be seen to be a one-parameter level-spacing distribution that allows one to interpolate between chaotic and nearly integrable regimes.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Random Matrices and Applications · Complex Systems and Time Series Analysis
