
doi: 10.1007/bf01837981
The authors deal with two classes \(K^ 1_ s\) and \(K^ 2_ s\) of \(s\)- convex functions on \(\mathbb{R}_ +\). These classes have been introduced by \textit{W. Orlicz} [Bull. Acad. Pol. Sci., Sér. Sci. Math. Astron. Phys. 9, 157-162 (1961; Zbl 0109.334)] and the reviewer [Publ. Inst. Math., Nouv. Sér. 23(37), 13-20 (1978; Zbl 0416.46029)], respectively. In the first part of the paper they state necessary conditions for functions to be in the classes \(K^ 1_ s\) or \(K^ 2_ s\). Besides, here they prove a theorem about the superposition of functions belonging to the class \(K^ 1_ s\). From this theorem it follows that if \(f, g\in K^ 1_ s\), then \(f+ g\) and \(\max(f, g)\) are also in \(K^ 1_ s\). Moreover, it is shown that any \(f\in K^ 2_ s\) satisfying \(f(0)= 0\) lies in \(K^ 1_ s\), and that both classes \(K^ 1_ s\) and \(K^ 2_ s\) increase if \(s\) decreases. In the second part of the paper, non- negative \(s\)-convex functions are considered. The main result given here refers to the composition and the product of two functions \(f\in K^ 1_{s_ 1}\) and \(g\in K^ 1_{s_ 2}\). Both parts of the paper are completed by various examples and counterexamples.
510.mathematics, \(s\)-convex functions, Matematisk analys, composition, superposition, product, Mathematical Analysis, Article, Convexity of real functions in one variable, generalizations
510.mathematics, \(s\)-convex functions, Matematisk analys, composition, superposition, product, Mathematical Analysis, Article, Convexity of real functions in one variable, generalizations
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 278 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
