{ "id": "2004.07567", "version": "v1", "published": "2020-04-16T10:08:47.000Z", "updated": "2020-04-16T10:08:47.000Z", "title": "A tight Hermite-Hadamard's inequality and a generic method for comparison between residuals of inequalities with convex functions", "authors": [ "Milan Merkle", "Zoran D. Mitrović" ], "comment": "11 pages, 3 figures", "categories": [ "math.CA" ], "abstract": "We present a tight parametrical Hermite-Hadamard type inequality with probability measure, which yields a considerably closer upper bound for the mean value of convex function than the classical one. Our inequality becomes equality not only with affine functions, but also with a family of V-shaped curves determined by the parameter. The residual (error) of this inequality is strictly smaller than in the classical Hermite-Hadamard inequality under any probability measure and with all non-affine convex functions. In the framework of Karamata's theorem on the inequalities with convex functions, we propose a method of measuring a global performance of inequalities in terms of average residuals over functions of the type $x\\mapsto |x-u|$. Using average residuals enables comparing two or more inequalities as themselves, with same or different measures and without referring to a particular function. Our method is applicable to all Karamata's type inequalities, with integrals or sums. A numerical experiment with three different measures indicates that the average residual in our inequality is about 4 times smaller than in classical right Hermite-Hadamard, and also is smaller than in Jensen's inequality, with all three measures.", "revisions": [ { "version": "v1", "updated": "2020-04-16T10:08:47.000Z" } ], "analyses": { "subjects": [ "26A51", "60E15", "26D15" ], "keywords": [ "convex function", "tight hermite-hadamards inequality", "generic method", "average residual", "tight parametrical hermite-hadamard type inequality" ], "note": { "typesetting": "TeX", "pages": 11, "language": "en", "license": "arXiv", "status": "editable" } } }