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arXiv 2005.03272math.FA
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关于对数和不等式

On log-sum inequalities

Supriyo Dutta, Shigeru Furuichi

摘要:

在信息论中,著名的对数和不等式是证明相对熵非负性的基本工具。在本文中,我们建立了一组类似于对数和不等式的不等式,涉及两个定义在标量上的函数。给出了参数扩展的对数和不等式。我们将这些不等式推广到交换矩阵上。此外,利用Löwner偏序关系和Hansen-Pedersen理论,我们证明了一些类似于对数和不等式的矩阵不等式.

英文摘要:

In information theory, the well-known log-sum inequality is a fundamental tool which indicates the non-negativity for the relative entropy. In this article, we establish a set of inequalities which are similar to the log-sum inequality involving two functions defined on scalars. The parametric extended log-sum inequalities are shown. We extend these inequalities for the commutative matrices. In addition, utilizing the Löwner partial order relation and the Hansen-Pedersen theory for non-commutative positive semi-definite matrices we demonstrate a number of matrix-inequalities analogous to the log-sum inequality.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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