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Discontinuity, Nonlinearity, and Complexity

Dimitry Volchenkov (editor), Dumitru Baleanu (editor)

Dimitry Volchenkov(editor)

Mathematics & Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, TX 79409, USA

Email: dr.volchenkov@gmail.com

Dumitru Baleanu (editor)

Cankaya University, Ankara, Turkey; Institute of Space Sciences, Magurele-Bucharest, Romania

Email: dumitru.baleanu@gmail.com


Dynamic Modelling of Smoking Cessation with Caputo Fractional Derivatives: Incorporating Dual Quitter Behaviours

Discontinuity, Nonlinearity, and Complexity 15(2) (2026) 241--251 | DOI:10.5890/DNC.2026.06.008

V. Kavitha$^{1}$, R. Sowmiya$^{1}$, R. Deepa$^{2}$, D. Baleanu$^{3}$, M. Mallika Arjunan$^{4}$

$^{1}$ Division of Mathematics and Robotics Engineering, School of Sciences, Arts & Media, Karunya Institute of Technology and Sciences,Karunya Nagar, Coimbatore-641114, Tamil Nadu, India

$^{2}$ Department of Mathematics, Panimalar Engineering College, Chennai–600123, Tamil Nadu, India

$^{3}$ Department of Computer Science and Mathematics, Labanese American University, Beirut, Lebanon

$^{4}$ Department of Mathematics, School of Arts, Sciences and Humanities, SASTRA Deemed to be University, Thanjavur-613401, Tamil Nadu, India

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Abstract

This study examines the dynamics of a smoking model using the Caputo ($\c$) fractional derivative, which effectively captures memory effects inherent in complex systems. We conduct a mathematical analysis of the fractional model, ensuring the positivity of solutions, invariant region and demonstrating the existence and uniqueness of solutions through fixed-point theory. For numerical simulations, we employ a generalized predictor-corrector method tailored for the $\c$ derivative. The model is computationally solved, and results are graphically illustrated across various fractional-order values.

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