Global properties of the symmetrized $s$-divergence
Slavko Simic

TL;DR
This paper investigates the properties of symmetrized s-divergences, establishing fundamental characteristics like symmetry, monotonicity, and log-convexity, and proves a key convexity result relevant to divergence measures.
Contribution
It introduces and analyzes the symmetrized s-divergences, providing new theoretical insights into their mathematical properties and convexity behavior.
Findings
Symmetry, monotonicity, and log-convexity of the symmetrized divergences are established.
A significant convexity property of the divergences is proved.
The study enhances understanding of divergence measures in information theory.
Abstract
In this paper we give a study of the symmetrized divergences and , where is the relative divergence of type . Some basic properties as symmetry, monotonicity and log-convexity are established. An important result from the Convexity Theory is also proved.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Mathematical Inequalities and Applications · Advanced Statistical Methods and Models
