MaxEnt, second variation, and generalized statistics

dc.creatorPlastino, Ángel Luis
dc.creatorRocca, Mario Carlos
dc.date.accessioned2018-06-25T20:42:10Z
dc.date.accessioned2018-11-06T15:15:28Z
dc.date.available2018-06-25T20:42:10Z
dc.date.available2018-11-06T15:15:28Z
dc.date.created2018-06-25T20:42:10Z
dc.date.issued2015-06
dc.identifierPlastino, Ángel Luis; Rocca, Mario Carlos; MaxEnt, second variation, and generalized statistics; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 436; 6-2015; 572-581
dc.identifier0378-4371
dc.identifierhttp://hdl.handle.net/11336/50002
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1895269
dc.description.abstractThere are two kinds of Tsallis-probability distributions: heavy tail ones and compact support distributions. We show here, by appeal to functional analysis' tools, that for lower bound Hamiltonians, the second variation's analysis of the entropic functional guarantees that the heavy tail q-distribution constitutes a maximum of Tsallis' entropy. On the other hand, in the compact support instance, a case by case analysis is necessary in order to tackle the issue.
dc.languageeng
dc.publisherElsevier Science
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1016/j.physa.2015.05.084
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378437115004999
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectGENERALIZED STATISTICS
dc.subjectMAXENT
dc.subjectSECOND VARIATION
dc.titleMaxEnt, second variation, and generalized statistics
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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