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Research Article | Open Access

Mathematical assessment of the dynamics of the tobacco smoking model: An application of fractional theory

Peijiang Liu1,2Taj Munir3Ting Cui4( )Anwarud Din5Peng Wu6
School of Statistics and Mathematics, Guangdong University of Finance and Economics, Big data and Educational Statistics Application Laboratory Guangzhou 510320, China
School of Statistics and Mathematics, Guangdong University of Finance and Economics, Guangzhou 510320, China
Abdus Salam School of Mathematical Sciences GC University Lahore, 54600 Pakistan
School of Economics, Guangdong University of Finance and Economics, Guangzhou 510320, China
Department of Mathematics Sun Yat-sen University, Guangzhou 510275, China
School of Data Sciences, Zhejiang University of Finance & Economics, Hangzhou 310018, China
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Abstract

In this paper we consider fractional-order mathematical model describing the spread of the smoking model in the sense of Caputo operator with tobacco in the form of snuffing. The threshold quantity R 0 and equilibria of the model are determined. We prove the existence of the solution via fixed-point theory and further examine the uniqueness of of the solution of the considered model. The new version of numerical approximation's framework for the approximation of Caputo operator is used. Finally, the numerical results are presented to justify the significance of the arbitrary fractional order derivative. The analysis shows fractional-order model of tobacco smoking in Caputo sense gives useful information as compared to the classical integer order tobacco smoking model.

CLC number: 46S40, 47H10, 54H25

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AIMS Mathematics
Pages 7143-7165

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Cite this article:
Liu P, Munir T, Cui T, et al. Mathematical assessment of the dynamics of the tobacco smoking model: An application of fractional theory. AIMS Mathematics, 2022, 7(4): 7143-7165. https://doi.org/10.3934/math.2022398

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Received: 28 October 2021
Revised: 16 January 2022
Accepted: 26 January 2022
Published: 15 April 2022
©2022 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)