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Generalized entropies under different probability normalization conditions 被引量:1
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作者 OU CongJie CHEN JinCan 《Chinese Science Bulletin》 SCIE EI CAS 2011年第34期3649-3653,共5页
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 Lagran... 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. 展开更多
关键词 概率分布函数 广义熵 正常化 TSALLIS熵 拉格朗日乘数法 数学结构 变量替换 物理系统
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