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Generalized entropic structures and non-generality of Jaynes__ Formalism

机译:Jaynes形式主义的广义熵结构和非一般性

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摘要

The extremization of an appropriate entropic functional may yield to the probability distribution functions maximizing the respective entropic structure. This procedure is known in Statistical Mechanics and Information Theory as Jaynes__ Formalism and has been up to now a standard methodology for deriving the aforementioned distributions. However, the results of this formalism do not always coincide with the ones obtained following different approaches. In this study we analyse these inconsistencies in detail and demonstrate that Jaynes__ formalism leads to correct results only for specific entropy definitions.
机译:适当熵函数的极值化可以产生使相应熵结构最大化的概率分布函数。此过程在统计力学和信息理论中被称为Jaynes__形式主义,并且一直是到目前为止得出上述分布的标准方法。但是,这种形式主义的结果​​并不总是与通过不同方法获得的结果一致。在这项研究中,我们详细分析了这些不一致之处,并证明了Jaynes__形式主义仅针对特定的熵定义才能得出正确的结果。

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