非扩展框架下Kullback-Leibler交叉熵最小化的性质

Ambedkar Dukkipati, Narasimha Murty Musti, S. Bhatnagar
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引用次数: 9

摘要

Kullback-Leibler交叉熵在涉及由交叉熵最小化产生的分布的情况下具有独特的性质。非泛化熵(Tsallis entropy)是Shannon熵的一种单参数推广,用于研究一类物理系统。基于Tsallis熵的热统计被称为非广泛统计或Tsallis统计。以前,Kullback-Leibler交叉熵已经在这个框架下进行了推广和研究。本文研究了广义交叉熵最小化的性质,并给出了与经典情况的区别。在这种最小交叉熵分布的表示中,我们强调了最近引入的q-product算子的使用,以导出Tsallis统计背后的数学结构。我们的主要成果之一是在非扩展的框架下推广了交叉熵最小化的三角等式
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Properties of Kullback-Leibler cross-entropy minimization in nonextensive framework
Kullback-Leibler cross-entropy has unique properties in cases involving distributions resulting from cross-entropy minimization. Nonextensive entropy (Tsallis entropy), which is a one-parameter generalization of Shannon entropy, is proposed to study certain class of physical systems. Thermostatistics based on Tsallis entropy is termed as nonextensive statistics or Tsallis statistics. Previously, Kullback-Leibler cross-entropy has been generalized and studied in this framework. In this paper we study properties of generalized cross-entropy minimization and present some differences with the classical case. In the representation of such a minimum cross-entropy distribution, we highlight the use of the q-product, an operator that has been recently introduced, to derive the mathematical structure behind the Tsallis statistics. One of our main results is the generalization of the triangle equality of cross-entropy minimization, in nonextensive framework
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