Generalized Jensen and Jensen–Mercer inequalities for strongly convex functions with applications

Strongly convex functions as a subclass of convex functions, still equipped with stronger properties, are employed through several generalizations and improvements of the Jensen inequality and the Jensen–Mercer inequality. This paper additionally provides applications of obtained main results in the...

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Published in:Journal of inequalities and applications Vol. 2024; no. 1; pp. 112 - 19
Main Authors: Ivelić Bradanović, Slavica, Lovričević, Neda
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 02.09.2024
Springer Nature B.V
SpringerOpen
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ISSN:1029-242X, 1025-5834, 1029-242X
Online Access:Get full text
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Summary:Strongly convex functions as a subclass of convex functions, still equipped with stronger properties, are employed through several generalizations and improvements of the Jensen inequality and the Jensen–Mercer inequality. This paper additionally provides applications of obtained main results in the form of new estimates for so-called strong f -divergences: the concept of the Csiszár f -divergence for strongly convex functions f , together with particular cases (Kullback–Leibler divergence, χ 2 -divergence, Hellinger divergence, Bhattacharya distance, Jeffreys distance, and Jensen–Shannon divergence.) Furthermore, new estimates for the Shannon entropy are obtained, and new Chebyshev-type inequalities are derived.
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ISSN:1029-242X
1025-5834
1029-242X
DOI:10.1186/s13660-024-03189-z