Asymptotics of superstatistics

dc.creatorTouchette, Hugo
dc.creatorBeck, Christian
dc.date2004-08-04
dc.date2005-01-26
dc.date.accessioned2026-07-07T02:59:35Z
dc.date.available2026-07-07T02:59:35Z
dc.descriptionSuperstatistics are superpositions of different statistics relevant for driven nonequilibrium systems with spatiotemporal inhomogeneities of an intensive variable (e.g., the inverse temperature). They contain Tsallis statistics as a special case. We develop here a technique that allows us to analyze the large energy asymptotics of the stationary distributions of general superstatistics. A saddle-point approximation is developed which relates this problem to a variational principle. Several examples are worked out in detail.
dc.descriptionPublished version, few typos corrected, 7 pages, 1 figure, RevTeX4
dc.identifierhttps://arxiv.org/abs/cond-mat/0408091
dc.identifierhttp://arxiv.org/abs/cond-mat/0408091
dc.identifierPhys. Rev. E 71, 016131, 2005
dc.identifierdoi:10.1103/PhysRevE.71.016131
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/24566
dc.subjectStatistical Mechanics
dc.titleAsymptotics of superstatistics
dc.typetext

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