Statistical Mechanical Foundations for Systems with Nonexponential Distributions
classification
❄️ cond-mat.stat-mech
keywords
distributionsmethodcanonicalgivenjustificationstatisticaladoptingappropriately
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Traditionally 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.
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