This paper develops fractional integral inequalities generated by integral operators whose kernels contain an extended generalized Mittag-Leffler function. Under two-sided derivative bounds, we establish Ostrowski-type, Ostrowski-Grüss-type, and Hermite-Hadamard-type estimates, together with midpoint consequences and error bounds. The contribution is not limited to a formal replacement of the classical power kernel: The kernel parameters enter the normalization, the fractional means, and the derivative-controlled remainder terms simultaneously, thereby producing a unified family of estimates. A concrete application to a fractional relaxation equation illustrates how the results provide computable bounds for the discrepancy between a pointwise state and its Mittag-Leffler-weighted fractional mean. Classical Riemann-Liouville inequalities are recovered through suitable parameter choices.
Citation: Hala H. Taha, Josip Pečarić, Jongsuk Ro, Ghulam Farid. Applications of Mittag-Leffler functions in computing fractional integral inequalities[J]. AIMS Mathematics, 2026, 11(9): 30355-30373. doi: 10.3934/math.20261203
This paper develops fractional integral inequalities generated by integral operators whose kernels contain an extended generalized Mittag-Leffler function. Under two-sided derivative bounds, we establish Ostrowski-type, Ostrowski-Grüss-type, and Hermite-Hadamard-type estimates, together with midpoint consequences and error bounds. The contribution is not limited to a formal replacement of the classical power kernel: The kernel parameters enter the normalization, the fractional means, and the derivative-controlled remainder terms simultaneously, thereby producing a unified family of estimates. A concrete application to a fractional relaxation equation illustrates how the results provide computable bounds for the discrepancy between a pointwise state and its Mittag-Leffler-weighted fractional mean. Classical Riemann-Liouville inequalities are recovered through suitable parameter choices.
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