Random matrix theory within superstatistics

dc.creatorAbul-Magd, A. Y.
dc.date2005-10-19
dc.date.accessioned2026-07-07T06:44:33Z
dc.date.available2026-07-07T06:44:33Z
dc.descriptionWe propose a generalization of the random matrix theory following the basic prescription of the recently suggested concept of superstatistics. Spectral characteristics of systems with mixed regular-chaotic dynamics are expressed as weighted averages of the corresponding quantities in the standard theory assuming that the mean level spacing itself is a stochastic variable. We illustrate the method by calculating the level density, the nearest-neighbor-spacing distributions and the two-level correlation functions for system in transition from order to chaos. The calculated spacing distribution fits the resonance statistics of random binary networks obtained in a recent numerical experiment.
dc.description20 pages, 6 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0510494
dc.identifierhttp://arxiv.org/abs/cond-mat/0510494
dc.identifierPhys. Rev. E 72,066114 (2005)
dc.identifierdoi:10.1103/PhysRevE.72.066114
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/102810
dc.subjectStatistical Mechanics
dc.titleRandom matrix theory within superstatistics
dc.typetext

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