In this paper, we investigated Maclaurin-type inequalities for convex stochastic processes by means of proportional Caputo-hybrid fractional operators. To this end, we introduced the left-sided and right-sided stochastic mean-square proportional Caputo-hybrid operators and established a new integral identity involving these operators. This identity served as the main analytical tool for deriving our estimates. Based on this representation formula, we obtained new fractional Caputo-hybrid Maclaurin-type inequalities for convex stochastic processes under appropriate differentiability and integrability assumptions. The obtained results may be regarded as stochastic fractional extensions of the classical Maclaurin-type inequalities. In this way, the present work enriched the theory of stochastic fractional calculus and contributed to the ongoing development of generalized integral inequalities for stochastic processes.
Citation: Raouf Fakhfakh, Rabab Alzahrani, Fatimah Alshahrani, Hend Aljahani, Foued Mtiri, Abdellatif Ben Makhlouf. On proportional Caputo-hybrid fractional maclaurin-type inequalities for convex stochastic processes[J]. AIMS Mathematics, 2026, 11(9): 30658-30688. doi: 10.3934/math.20261215
In this paper, we investigated Maclaurin-type inequalities for convex stochastic processes by means of proportional Caputo-hybrid fractional operators. To this end, we introduced the left-sided and right-sided stochastic mean-square proportional Caputo-hybrid operators and established a new integral identity involving these operators. This identity served as the main analytical tool for deriving our estimates. Based on this representation formula, we obtained new fractional Caputo-hybrid Maclaurin-type inequalities for convex stochastic processes under appropriate differentiability and integrability assumptions. The obtained results may be regarded as stochastic fractional extensions of the classical Maclaurin-type inequalities. In this way, the present work enriched the theory of stochastic fractional calculus and contributed to the ongoing development of generalized integral inequalities for stochastic processes.
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