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Research Article | Open Access

Existence theory for finite delayed fractional differential equations with nonlinear variable order

Ibraheem M. Alsulami1Ramsha Shafqat2( )
Mathematics Department, Faculty of Science, Umm Al-Qura University, Makkah 21955, Saudi Arabia
Department of Mathematics and Statistics, The University of Lahore, Sargodha 40100, Pakistan
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Abstract

We investigated a class of finite-delay fractional differential equations in which the differentiation order combined with time and depended explicitly on the past evolution of the state. The proposed model combined a history-dependent variable fractional order with a nonlinear source term involving an integral memory functional, rather than a pointwise delay. This structure provided a flexible framework for describing adaptive memory effects and cumulative nonlocal behavior that cannot be captured by classical constant-order or pointwise variable-order models. By reformulating the problem as an equivalent integral equation, we established rigorous existence and uniqueness results in the Banach space L 1 ( Δ ) using the Banach contraction principle and the Schauder fixed-point theorem under mild and verifiable assumptions. In addition, Ulam–Hyers stability of the system was proved, ensuring robustness of solutions with respect to perturbations. An illustrative example, together with a numerical stability verification, was presented to support the theoretical findings. The obtained results contributed to the mathematical understanding of delayed variable-order fractional systems and provided a solid foundation for future studies in engineering, economics, and biomedical modeling.

CLC number: 34D20, 34K20, 34K60, 92C60, 92D45

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AIMS Mathematics
Pages 5966-5991

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Cite this article:
Alsulami IM, Shafqat R. Existence theory for finite delayed fractional differential equations with nonlinear variable order. AIMS Mathematics, 2026, 11(3): 5966-5991. https://doi.org/10.3934/math.2026247

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Received: 20 January 2026
Revised: 17 February 2026
Accepted: 03 March 2026
Published: 15 March 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)