Extensions of recent combinatorial refinements of discrete and integral Jensen inequalities

Author:

Horváth LászlóORCID

Abstract

AbstractThe main purpose of this work is to present essential extensions of results in [7] and [8], and apply them to some special situations. Of particular interest is the refinement of the integral Jensen inequality for vector valued integrable functions. The applications related to four topics, namely f-divergences in information theory (an interesting refinement of the weighted geometric mean–arithmetic mean inequality is obtained as a consequence), norm inequalities, quasi-arithmetic means, Hölder’s and Minkowski’s inequalities.

Funder

Hungarian National Foundations for Scientific Research

Széchenyi 2020

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,General Mathematics

Reference18 articles.

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2. Chao, C.Z., Cheung, W.S.: On Minkowski’s inequality and its applications. J. Inequal. Appl. 71, 5 (2011)

3. Csiszár, I.: Information measures: a critical survey. In: Transactions 7th Prague Conference on Information Theory, Statistics Decision Function, Random Processes and 8th European Meeting of Statistics, vol. B, pp. 73–86, Academia Prague (1978)

4. Csiszár, I.: Information-type measures of difference of probability distributions and indirect observations. Studia Sci. Math. Hungar. 2, 299–318 (1967)

5. Horváth, G.: Refinements of Hölder’s Inequality. Acta Math. Hungar. 144, 110–118 (2014)

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