Generalized entropies under different probability normalization conditions

被引:2
|
作者
Ou CongJie [1 ]
Chen JinCan [2 ]
机构
[1] Huaqiao Univ, Coll Informat Sci & Engn, Xiamen 361021, Peoples R China
[2] Xiamen Univ, Dept Phys, Xiamen 361005, Peoples R China
来源
CHINESE SCIENCE BULLETIN | 2011年 / 56卷 / 34期
基金
中国国家自然科学基金;
关键词
generalized entropy; q-exponential distribution; incomplete probability normalization; Lesche stability; INCOMPLETE STATISTICS; MECHANICS; SYSTEM; STATE;
D O I
10.1007/s11434-011-4809-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Tsallis entropy and incomplete entropy are proven to have equivalent mathematical structure except for one nonextensive factor q through variable replacements on the basis of their forms. However, employing the Lagrange multiplier method, it is judged that neither yields the q-exponential distributions that have been observed for many physical systems. Consequently, two generalized entropies under complete and incomplete probability normalization conditions are proposed to meet the experimental observations. These two entropic forms are Lesche stable, which means that both vary continuously with probability distribution functions and are thus physically meaningful.
引用
收藏
页码:3649 / 3653
页数:5
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