Estimates of operator convex and operator monotone functions on bounded intervals
M. Fujii, M.S. Moslehian, H. Najafi, R. Nakamoto

TL;DR
This paper investigates the behavior of operator convex and monotone functions on bounded intervals, providing new inequalities, bounds, and extensions related to these functions in the context of bounded linear operators.
Contribution
It offers new results on inequalities involving operator convex and monotone functions on bounded intervals, including a lower bound for differences and an extension of the Furuta inequality.
Findings
Proved a strict inequality for nonlinear operator convex functions on bounded intervals.
Derived a lower bound for the difference of operator monotone functions.
Provided an estimation of the Furuta inequality extending the L"owner--Heinz inequality.
Abstract
Recently the behavior of operator monotone functions on unbounded intervals with respect to the relation of strictly positivity has been investigated. In this paper we deeply study such behavior not only for operator monotone functions but also for operator convex functions on bounded intervals. More precisely, we prove that if is a nonlinear operator convex function on a bounded interval and are bounded linear operators acting on a Hilbert space with spectra in and is invertible, then . A short proof for a similar known result concerning a nonconstant operator monotone function on is presented. Another purpose is to find a lower bound for , where is a nonconstant operator monotone function, by using a key lemma. We also give an estimation of the Furuta inequality, which is an excellent extension…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Inequalities and Applications · Differential Equations and Boundary Problems · Nonlinear Differential Equations Analysis
