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Research Article | Open Access

Piecewise mABC fractional derivative with an application

Hasib Khan1,2( )Jehad Alzabut1,3J.F. Gómez-Aguilar4Praveen Agarwal5,6
Department of Mathematics and Sciences, Prince Sultan University, 11586, Riyadh, Saudi Arabia
Department of Mathematics, Shaheed Benazir Bhutto Uniersity, Sheringal, Dir Upper, Khyber Pakhtunkhwa, Pakistan
Department of Industrial Engineering, OSTİM Technical University, 06374 Ankara, Turkey
CONACyT-Tecnológico Nacional de Mexico/CENIDET. Interior Internado Palmira S/N, Col. Palmira, C.P. 62490, Cuernavaca, Morelos, Mexico
Department of Mathematics and International College of Engineering, Jaipur-303012, India
Nonlinear Dynamics Research Center (NDRC), Ajman University, Ajman, UAE
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Abstract

In this study, we give the notion of a piecewise modified Atangana-Baleanu-Caputo (mABC) fractional derivative and apply it to a tuberculosis model. This novel operator is a combination of classical derivative and the recently developed modified Atangana-Baleanu operator in the Caputo's sense. For this combination, we have considered the splitting of an interval [ 0 , t 2 ] for t 2 R + , such that, the classical derivative is applied in the first portion [ 0 , t 1 ] while the second differential operator is applied in the interval [ t 1 , t 2 ]. As a result, we obtained the piecewise mABC operator. Its corresponding integral is also given accordingly. This new operator is then applied to a tuberculosis model for the study of crossover behavior. The existence and stability of solutions are investigated for the nonlinear piecewise modified ABC tuberculosis model. A numerical scheme for the simulations is presented with the help of Lagrange's interpolation polynomial is then applied to the available data.

CLC number: 34A08, 26A33, 34A34

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AIMS Mathematics
Pages 24345-24366

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Cite this article:
Khan H, Alzabut J, Gómez-Aguilar J, et al. Piecewise mABC fractional derivative with an application. AIMS Mathematics, 2023, 8(10): 24345-24366. https://doi.org/10.3934/math.20231241

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Received: 03 May 2023
Revised: 26 July 2023
Accepted: 28 July 2023
Published: 15 October 2023
©2023 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)