Abstract

In 2003, Mercer presented an interesting variation of Jensen’s inequality called Jensen–Mercer inequality for convex function. In the present paper, by employing harmonically convex function, we introduce analogous versions of Hermite–Hadamard inequalities of the Jensen–Mercer type via fractional integrals. As a result, we introduce several related fractional inequalities connected with the right and left differences of obtained new inequalities for differentiable harmonically convex mappings. As an application viewpoint, new estimates regarding hypergeometric functions and special means of real numbers are exemplified to determine the pertinence and validity of the suggested scheme. Our results presented here provide extensions of others given in the literature. The results proved in this paper may stimulate further research in this fascinating area.

Highlights

  • The definition of convexity has been improved, generalized, and expanded in several directions in recent years

  • Using Lemma 13, we present the following fractional integral inequality for jφ′jq ∈ HKðIÞ as follows

  • We present the (H-H-M) inequalities involving (RL) fractional integrals for the class of harmonic convex function and established some integral inequalities connected with the right and left sides of fractional (H-H-M) type inequalities for differentiable mappings whose derivatives in absolute value are harmonically convex

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Summary

Introduction

The definition of convexity has been improved, generalized, and expanded in several directions in recent years. If jφ′jq ∈ HKð1⁄2θ, ΘŠÞ for some fixed q > 1 and φ′ ∈ L1⁄2θ, Ȋ along with assumption A1 and 0 < α ≤ 1, the following inequality for fractional integrals holds: Iφðħ ; α, x, yÞ ≤. If jφ′jq ∈ HKð1⁄2θ, ΘŠÞ for some fixed q > 1 and φ′ ∈ L1⁄2θ, Ȋ along with assumption A1 and 0 < α ≤ 1, following inequality for fractional integrals holds:. Lemma 13 and Lemma 9, using the Hölder inequality and jφ′jq ∈ HK ð1⁄2θ, ȊÞ, we find y−x 2xy y−x 2xy ð1ð1

A2ζq hφ
Application to Special Means
Conclusion

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