arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1010.4597cond-mat.stat-mechmath-phmath.MP
收藏

路径模型与非广延统计力学

Pathway Model and Nonextensive Statistical Mechanics

A. M. Mathai, H. J. Haubold, C. Tsallis

摘要:

消除一般超几何级数中的上参数或下参数的已建立的技术被有利地利用,以在合流超几何函数、二项式函数、贝塞尔函数和指数级数之间创建路径。从数理统计的角度来看,其中一条途径导致了非广延统计力学和贝克-科恩超统计中自然出现的分布,正如玻尔兹曼-吉布斯统计的推广所追求的那样。

英文摘要:

The established technique of eliminating upper or lower parameters in a general hypergeometric series is profitably exploited to create pathways among confluent hypergeometric functions, binomial functions, Bessel functions, and exponential series. One such pathway, from the mathematical statistics point of view, results in distributions which naturally emerge within nonextensive statistical mechanics and Beck-Cohen superstatistics, as pursued in generalizations of Boltzmann-Gibbs statistics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑