On log-sum inequalities
Functional Analysis
2022-11-08 v2
Abstract
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 L\"{o}wner 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.
Cite
@article{arxiv.2005.03272,
title = {On log-sum inequalities},
author = {Supriyo Dutta and Shigeru Furuichi},
journal= {arXiv preprint arXiv:2005.03272},
year = {2022}
}
Comments
13 pages