Abstract

The concept of generalized h-preinvex function on real linear fractal sets R^{beta } (0 < beta le 1) is introduced, which extends generalized preinvex, generalized s-preinvex, generalized Godunova–Levin preinvex, and generalized P-preinvex functions. In addition, some Hermite–Hadamard type inequalities for these classes of functions involving local fractional integrals are established. Lastly, the upper bounds for generalized expectation, generalized rth moment, and generalized variance of a continuous random variable are given to illustrate the applications of the obtained results.

Highlights

  • We recall the well-known Hermite–Hadamard inequality for convex function.Theorem 1 ([1], Hermite–Hadamard’s inequality) Let g : I ⊆ R → R be a convex function and c, d ∈ I with c < d, c+d g ≤ d g(x) dx g(c) + g(d) . (1.1) d–c cMost of the research on this class of inequalities is related to convexity

  • Combining the definitions of generalized preinvex function and generalized h-convex function, the main purpose of this paper is to introduce the concept of generalized hpreinvex function on fractal sets, which extends generalized h-convex function, generalized preinvex function, and generalized s-preinvex function

  • 3 Main results In order to establish some new Hermite–Hadamard type inequalities, we firstly introduce the definition of generalized h-preinvex function on fractal sets

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Summary

Introduction

We recall the well-known Hermite–Hadamard inequality for convex function. Theorem 1 ([1], Hermite–Hadamard’s inequality) Let g : I ⊆ R → R be a convex function and c, d ∈ I with c < d, c+d g. Proof Since g is a nonnegative generalized h1-preinvex function and ψ is a nonnegative generalized h2-preinvex function, for all τ ∈ [0, 1], we have g c + τ η(b, c) ψ c + τ η(b, c) ≤ hβ (τ )hβ (τ )g(b)ψ(b) + hβ (τ )hβ (1 – τ )g(b)ψ(c) + hβ (τ )hβ (1 – τ )g(c)ψ(b) + hβ (1 – τ )hβ (1 – τ )g(c)ψ(c) Integrating both sides of the above inequality with respect to τ over [0, 1], letting c + τ η(b, c) = x, we get ηβ g c + τ η(b, c) ψ c + τ η(b, c) (dτ )β. B c and our results reduce to some results for generalized convex, generalized s-convex, generalized Godunova–Levin convex, and generalized P-convex, respectively

Applications for random variables
Methods
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