2007
DOI: 10.1016/j.jmaa.2006.02.086
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On h-convexity

Abstract: We introduce a class of h-convex functions which generalize convex, s-convex, Godunova-Levin functions and P -functions. Namely, the h-convex function is defined as a non-negative function f :where h is a non-negative function, α ∈ (0, 1) and x, y ∈ J . Some properties of h-convex functions are discussed. Also, the Schur-type inequality is given.

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Cited by 405 publications
(304 citation statements)
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References 4 publications
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“…A function f : D → R is (T, h)-convex if (1.1) holds for all x, y ∈ D and t ∈ T . It is clear that this generalizes the concepts of convexity (h(t) = t, t ∈ [0, 1], [24], [21]), the Breckner-convexity (h(t) = t s , t ∈]0, 1[, for some s ∈ R, [5], [6]), the Godunova-Levin functions (h(t) = t −1 , t ∈]0, 1[, [10]), the P-functions (h(t) = 1, t ∈ [0, 1], [18]), and the t-convexity (T = {t, 1 − t}, h(t) = t, h(1 − t) = 1 − t, where 0 < t < 1 is a fixed number, Kuhn [14]). For further related results see Burai-Házy [1,2] and Burai-Házy-Juhász [3,4].…”
Section: Introductionmentioning
confidence: 72%
See 1 more Smart Citation
“…A function f : D → R is (T, h)-convex if (1.1) holds for all x, y ∈ D and t ∈ T . It is clear that this generalizes the concepts of convexity (h(t) = t, t ∈ [0, 1], [24], [21]), the Breckner-convexity (h(t) = t s , t ∈]0, 1[, for some s ∈ R, [5], [6]), the Godunova-Levin functions (h(t) = t −1 , t ∈]0, 1[, [10]), the P-functions (h(t) = 1, t ∈ [0, 1], [18]), and the t-convexity (T = {t, 1 − t}, h(t) = t, h(1 − t) = 1 − t, where 0 < t < 1 is a fixed number, Kuhn [14]). For further related results see Burai-Házy [1,2] and Burai-Házy-Juhász [3,4].…”
Section: Introductionmentioning
confidence: 72%
“…In a recent paper [24] by Varošanec, a common generalization of convex and s-convex functions, Godunova-Levin functions, and P-functions is introduced in the following way: Let I be a nonvoid subinterval of R (the set of all real numbers), h : [0, 1] → R and f : I → R be real-valued functions satisfying the inequality f (tx + (1 − t)y) ≤ h(t)f (x) + h(1 − t)f (y) (1.1) for all x, y ∈ I and t ∈]0, 1[. An even more general notion, the so-called (T, h)-convexity, can be found in Házy [11]: Let X be a real or complex normed space, D ⊂ X be a nonempty convex set, ∅ = T ⊂ [0, 1], and h : T → R be a function.…”
Section: Introductionmentioning
confidence: 99%
“…Noor et al [12] introduced another class of preinvex functions which is called as Godunova-Levin type of s-preinvex functions and noticed that this class also included in the class of h-preinvex functions. For η(y, x) = y − x the class of h-preinvex functions reduces to the class of h-convex functions introduced and studied by Varosanec [19]. Thus it is worth to mention here that the class of h-preinvex is quite unifying one.…”
Section: Definition 11 ([8])mentioning
confidence: 97%
“…These extensions and generalizations in the theory of inequalities have made valuable contributions in many areas of mathematics. Some new generalized concepts in this point of view are quasiconvex [1], strongly convex [2], approximately convex [3], logarithmically convex [4], midconvex functions [5], pseudoconvex [6], -convex [7], -convex [8], ℎ-convex [9], delta-convex [10], Schur convex [11][12][13][14][15], and others [16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%