Generalized entropies under different probability normalization conditions

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	Generalized entropies under different probability normalization conditions
	Ou, CongJie ; Chen, JinCan ; Chen JC(陈金灿)
刊名	http://dx.doi.org/10.1007/s11434-011-4809-0
	2011-12
关键词	INCOMPLETE STATISTICS MECHANICS SYSTEM STATE
英文摘要	National Natural Science Foundation of China [11005041]; Natural Science Foundation of Fujian Province [2010J05007]; Scientific Research Foundation for the Returned Overseas Chinese Scholars; Basic Science Research Foundation of Huaqiao University [JB-SJ1; 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.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/70436]
专题	物理技术－已发表论文
推荐引用方式 GB/T 7714	Ou, CongJie,Chen, JinCan,Chen JC. Generalized entropies under different probability normalization conditions[J]. http://dx.doi.org/10.1007/s11434-011-4809-0,2011.
APA	Ou, CongJie,Chen, JinCan,&陈金灿.(2011).Generalized entropies under different probability normalization conditions.http://dx.doi.org/10.1007/s11434-011-4809-0.
MLA	Ou, CongJie,et al."Generalized entropies under different probability normalization conditions".http://dx.doi.org/10.1007/s11434-011-4809-0 (2011).