Operator log-convex functions and f-divergence functional
Mohsen Kian

TL;DR
This paper characterizes operator log-convex functions through positive linear mappings and explores their non-commutative f-divergence functional, establishing conditions for operator log-convexity and convexity.
Contribution
It provides a new characterization of operator log-convex functions using positive linear mappings and analyzes their non-commutative f-divergence functional.
Findings
f is operator log-convex iff the non-commutative f-divergence functional is operator log-convex in the first variable
f is operator log-convex iff the non-commutative f-divergence functional is operator convex in the second variable
The paper establishes a precise equivalence condition for operator log-convexity
Abstract
We present a characterization of operator log-convex functions by using positive linear mappings. Moreover, we study the non-commutative f-divergence functional of operator log-convex functions. In particular, we prove that f is operator log-convex if and only if the non-commutative f-divergence functional is operator log-convex in its first variable and operator convex in its second variable.
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Taxonomy
TopicsMathematical Inequalities and Applications · Functional Equations Stability Results · Optimization and Variational Analysis
