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

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

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 th...

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Veröffentlicht in:Journal of function spaces 2021, Vol.2021, p.1-8
Hauptverfasser: Yang, Putian, Zhang, Shiqing
Format: Artikel
Sprache:eng
Schlagworte:
Inequalities
Inequality
Integrals
Random variables
Stochastic models
Stochastic processes
Stochasticity
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Zusammenfassung: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.
ISSN:2314-8896
2314-8888
DOI:10.1155/2021/4398901