Improved Jensen-type inequalities via linear interpolation and applications
Daeshik Choi, Mario Krni\'c, and Josip Pecari\'c

TL;DR
This paper introduces a novel method using linear interpolation to enhance Jensen-type inequalities for convex and piecewise convex functions, leading to improved inequalities in both scalar and matrix contexts.
Contribution
The paper presents a new general approach for refining Jensen-type inequalities through linear interpolation, applicable to scalar and matrix inequalities, advancing existing mathematical bounds.
Findings
Improved bounds for Young-type inequalities.
Enhanced matrix inequalities using the proposed method.
Applicability to piecewise convex functions.
Abstract
In this paper we develop a general method for improving Jensen-type inequalities for convex and, even more generally, for piecewise convex functions. Our main result relies on the linear interpolation of a convex function. As a consequence, we obtain improvements of some recently established Young-type inequalities. Finally, our method is also applied to matrix case. In such a way we obtain improvements of some important matrix inequalities known from the literature.
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Taxonomy
TopicsMathematical Inequalities and Applications · Functional Equations Stability Results · Multi-Criteria Decision Making
