Some properties of η-convex stochastic processes

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초록

The stochastic processes is a significant branch of probability theory, treating probabilistic models that develop in time. It is a part of mathematics, beginning with the axioms of probability and containing a rich and captivating arrangement of results following from those axioms. In probability, a convex function applied to the expected value of an random variable is always bounded above by the expected value of the convex function of the random variable. The definition of eta-convex stochastic process is introduced in this paper. Moreover some basic properties of eta-convex stochastic process are derived. We also derived Jensen, Hermite-Hadamard and Ostrowski type inequalities for eta-convex stochastic process.

키워드

stochastic process; eta-convex function; eta-convex stochastic processes; Hermite Hadmard type inequality; Ostrowski type inequality and Jensen inequality
제목
Some properties of η-convex stochastic processes
저자
Jung, Chahn Yong; Saleem, Muhammad Shoaib; Bilal, Shamas; Nazeer, Waqas; Ghafoor, Mamoona
DOI
10.3934/math.2021044
발행일
2021-01
유형
Article
저널명
AIMS MATHEMATICS
권
6
호
1
페이지
726 ~ 736