Incomplete statistics and nonextensive generalization of statistical mechanics
arXiv:cond-mat/0009343 · doi:10.1016/S0960-0779(00)00113-2
Abstract
Statistical mechanics is generalized on the basis of an information theory for inexact or incomplete probability distributions. A parameterized normalization is proposed and leads to a nonextensive entropy. The resulting incomplete statistical mechanics is proved to have the same theoretical characteristics as Tsallis one based on the conventional normalization.
6 pages, 1 figure, RevTeX, to be published in Chaos, Solitons & Fractals
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