2014
DOI: 10.3934/naco.2014.4.1
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On the Hermite--Hadamard inequality for convex functions of two variables

Abstract: Inspired by the results in [S. S. Dragomir and I. Gomm, Num. Alg. Cont. & Opt., 2 (2012), 271-278], we give some new bounds for two mappings related to the Hermite-Hadamard inequality for convex functions of two variables, and apply them to special functions to get some results for the p-logarithmic mean. We also apply the Hermite-Hadamard inequality to matrix functions in this paper.

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Cited by 7 publications
(2 citation statements)
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“…In literature, convex functions are used to generate a variety of inequalities [16,17]. One of the most well-known classical inequality is a Hermite-Hadamard inequality, which has a wide range of geometrical implications and applications [18] and is stated as follows:…”
Section: Definition 12 the Mappingmentioning
confidence: 99%
“…In literature, convex functions are used to generate a variety of inequalities [16,17]. One of the most well-known classical inequality is a Hermite-Hadamard inequality, which has a wide range of geometrical implications and applications [18] and is stated as follows:…”
Section: Definition 12 the Mappingmentioning
confidence: 99%
“…For information as regards the Hermite-Hadamard inequality, one may refer to book [3], and the papers in [2], [8], [10] and [14].…”
Section: Introductionmentioning
confidence: 99%