Nonextensive random-matrix theory based on Kaniadakis entropy

dc.creatorAbul-Magd, A. Y.
dc.date2006-09-19
dc.date.accessioned2026-07-07T07:38:45Z
dc.date.available2026-07-07T07:38:45Z
dc.descriptionThe joint eigenvalue distributions of random-matrix ensembles are derived by applying the principle maximum entropy to the Renyi, Abe and Kaniadakis entropies. While the Renyi entropy produces essentially the same matrix-element distributions as the previously obtained expression by using the Tsallis entropy, and the Abe entropy does not lead to a closed form expression, the Kaniadakis entropy leads to a new generalized form of the Wigner surmise that describes a transition of the spacing distribution from chaos to order. This expression is compared with the corresponding expression obtained by assuming Tsallis' entropy as well as the results of a previous numerical experiment.
dc.description10 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0609473
dc.identifierhttp://arxiv.org/abs/cond-mat/0609473
dc.identifierPhys. Lett. A 361, 450 (2007)
dc.identifierdoi:10.1016/j.physleta.2006.09.080
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/121203
dc.subjectStatistical Mechanics
dc.titleNonextensive random-matrix theory based on Kaniadakis entropy
dc.typetext

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