Mean Square Integral Inequalities for Generalized Convex Stochastic Processes via Beta Function | Zendy

Putian Yang | Zendy; Shiqing Zhang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Mean Square Integral Inequalities for Generalized Convex Stochastic Processes via Beta Function

Author(s) -

Putian Yang,

Shiqing Zhang

Publication year - 2021

Publication title -

journal of function spaces

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.579

H-Index - 28

eISSN - 2314-8896

pISSN - 2314-8888

DOI - 10.1155/2021/4398901

Subject(s) - generalization , mathematics , inequality , beta function (physics) , convex function , regular polygon , beta (programming language) , square (algebra) , mean square , convex combination , function (biology) , calculus (dental) , mathematical analysis , convex optimization , computer science , physics , geometry , medicine , quantum mechanics , quantum gravity , evolutionary biology , relationship between string theory and quantum field theory , quantum , biology , programming language , dentistry

The integral inequalities have become a very popular area of research in recent years. The present paper deals with some important generalizations of convex stochastic processes. Several mean square integral inequalities are derived for this generalization. The involvement of the beta function in the results makes the inequalities more convenient for applied sciences.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research