Generalization of h-Convex Stochastic Processes and Some Classical Inequalities

Abstract EN

The field of stochastic processes is essentially a branch of probability theory, treating probabilistic models that evolve in time.

It is best viewed as a branch of mathematics, starting with the axioms of probability and containing a rich and fascinating set of results following from those axioms.

In probability theory, a convex function applied to the expected value of a random variable is always bounded above by the expected value of the convex function of the random variable.

In this paper, the concept of generalized h-convex stochastic processes is introduced, and some basic properties concerning generalized h-convex stochastic processes are developed.

Furthermore, we establish Jensen and Hermite–Hadamard and Fejér-type inequalities for this generalization.