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A Maximal Entropy Distribution Derivation of the Sharma-Taneja-Mittal Entropic Form
Open Systems & Information Dynamics ( IF 0.8 ) Pub Date : 2018-04-09 , DOI: 10.1142/s1230161218500026
Antonio M. Scarfone 1
Affiliation  

In this letter we derive the distribution maximizing the Sharma-Taneja-Mittal entropy under certain constrains by using an information inequality satisfied by the Br`egman divergence associated to this entropic form. The resulting maximal entropy distribution coincides with the one derived from the calculus according to the maximal entropy principle à la Jaynes.

中文翻译:

Sharma-Taneja-Mittal 熵形式的最大熵分布推导

在这封信中,我们通过使用与此熵形式相关的 Br`egman 散度满足的信息不等式,推导出在某些约束下最大化 Sharma-Taneja-Mittal 熵的分布。由此产生的最大熵分布与根据最大熵原理 à la Jaynes 的微积分得出的分布一致。
更新日期:2018-04-09
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