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Research Article | Open Access

On generalized parameter-dependent Newton-type inequalities for proportional Caputo-hybrid operators

Rubayyi T. Alqahtani1Nadiyah H. Alharthi1Yakub Yildirim2,3Badreddine Meftah4( )
Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
Department of Computer Engineering, Biruni University, Istanbul 34010, Türkiye
Mathematics Research Center, Near East University, 99138 Nicosia, Cyprus
Department of Mathematics, University of 8 May 1945, Guelma 24000, Algeria
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Abstract

In this paper, we provide a thorough analysis of integral inequalities in the context of proportional Caputo-hybrid operators. Using these fractional operators, we first prove a new generalized parameter-dependent identity. We obtain a number of new error bounds for functions whose first and second derivatives are s-convex in the second sense using this identity as an auxiliary result. Our main results are significant because they are general; we recover the classical Simpson's 3 / 8 rule, the corrected Simpson's 3 / 8 rule, and other related inequalities as special cases by appropriately adjusting the parameters η and β. Furthermore, to demonstrate the validity and robustness of our theoretical findings, we provide numerical examples and graphical representations comparing the obtained bounds. These visualizations confirm the accuracy of the proposed estimates for varying fractional orders and convexity parameters.

CLC number: 25A51, 25D10, 25D15

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AIMS Mathematics
Pages 14270-14301

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Cite this article:
Alqahtani RT, Alharthi NH, Yildirim Y, et al. On generalized parameter-dependent Newton-type inequalities for proportional Caputo-hybrid operators. AIMS Mathematics, 2026, 11(5): 14270-14301. https://doi.org/10.3934/math.2026586

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Received: 16 February 2026
Revised: 27 April 2026
Accepted: 07 May 2026
Published: 15 May 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)