Statistical Mechanical Foundations for Systems with Nonexponential Distributions

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dc.creatorRajagopal, A. K.
dc.creatorAbe, Sumiyoshi
dc.date2000-03-30
dc.date.accessioned2026-07-07T02:37:14Z
dc.date.available2026-07-07T02:37:14Z
dc.descriptionTraditionally the exponential canonical distributions of Gibbsian statistical mechanics are given theoretical justification in at least four different ways: steepest descent method, counting method, Khinchin's method based on te central limit theorem, and maximum entropy principle of Jaynes. Equally ubiquitous power-law canonical distributions are shown to be given similar justification by appropriately adopting these formulations.
dc.description17pages. Invited talk at International Workshop on Classical and Quantum Complexity and Nonextensive Thermodynamics (3-6 April, 2000, Denton, Texas)
dc.identifierhttps://arxiv.org/abs/cond-mat/0003493
dc.identifierhttp://arxiv.org/abs/cond-mat/0003493
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/16209
dc.subjectStatistical Mechanics
dc.titleStatistical Mechanical Foundations for Systems with Nonexponential Distributions
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