Open Access
ARTICLE
A Structure Preserving Numerical Method for Solution of Stochastic Epidemic Model of Smoking Dynamics
Ali Raza1, Muhammad Rafiq2, Nauman Ahmed3, Ilyas Khan4, *, Kottakkaran Sooppy Nisar5, Zafar Iqbal3
1 Department of Mathematics, National College of Business Administration and Economics, Lahore, Pakistan.
2 Faculty of Engineering, University of Central Punjab, Lahore, Pakistan.
3 Department of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.
4 Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
5 Department of Mathematics, College of Arts and Science at Wadi Aldawaser, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.
* Corresponding Author: Ilyas Khan. Email: .
Computers, Materials & Continua 2020, 65(1), 263-278. https://doi.org/10.32604/cmc.2020.011289
Received 29 April 2020; Accepted 05 June 2020; Issue published 23 July 2020
Abstract
In this manuscript, we consider a stochastic smoking epidemic model from
behavioural sciences. Also, we develop a structure preserving numerical method to
describe the dynamics of stochastic smoking epidemic model in a human population. The
structural properties of a physical system include positivity, boundedness and dynamical
consistency. These properties play a vital role in non-linear dynamics. The solution for
nonlinear stochastic models necessitates the conservation of these properties.
Unfortunately, the aforementioned properties of the model have not been restored in the
existing stochastic methods. Therefore, it is essential to construct a structure preserving
numerical method for a reliable analysis of stochastic smoking model. The usual explicit
stochastic numerical methods are time-dependent and violate most of the structural
properties. In this work, we have developed the implicitly driven explicit method for the
solution of stochastic smoking model. It is also proved that the newly developed method
sustains all the aforementioned properties of the system. Finally, the convergence
analysis of the newly developed method and graphical illustrations are presented.
Keywords
Cite This Article
A. Raza, M. Rafiq, N. Ahmed, I. Khan, K. Sooppy Nisar
et al., "A structure preserving numerical method for solution of stochastic epidemic model of smoking dynamics,"
Computers, Materials & Continua, vol. 65, no.1, pp. 263–278, 2020. https://doi.org/10.32604/cmc.2020.011289
Citations