Incomplete statistics and nonextensive generalization of statistical mechanics
Statistical Mechanics
2015-06-24 v2
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.
Keywords
Cite
@article{arxiv.cond-mat/0009343,
title = {Incomplete statistics and nonextensive generalization of statistical mechanics},
author = {Qiuping A. Wang},
journal= {arXiv preprint arXiv:cond-mat/0009343},
year = {2015}
}
Comments
6 pages, 1 figure, RevTeX, to be published in Chaos, Solitons & Fractals