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Analysis and Simulation of Fractional Order Smoking Epidemic Model

In recent years, there are many new definitions that were proposed related to fractional derivatives, and with the help of these definitions, mathematical models were established to overcome the various real-life problems. The true purpose of the current work is to develop and analyze Atangana-Balea...

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Autores principales: Ahmad, Aqeel, Farman, Muhammad, Ghafar, Abdul, Inc, Mustafa, Ahmad, Mohammad Ozair, Sene, Ndolane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142291/
https://www.ncbi.nlm.nih.gov/pubmed/35633925
http://dx.doi.org/10.1155/2022/9683187
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author Ahmad, Aqeel
Farman, Muhammad
Ghafar, Abdul
Inc, Mustafa
Ahmad, Mohammad Ozair
Sene, Ndolane
author_facet Ahmad, Aqeel
Farman, Muhammad
Ghafar, Abdul
Inc, Mustafa
Ahmad, Mohammad Ozair
Sene, Ndolane
author_sort Ahmad, Aqeel
collection PubMed
description In recent years, there are many new definitions that were proposed related to fractional derivatives, and with the help of these definitions, mathematical models were established to overcome the various real-life problems. The true purpose of the current work is to develop and analyze Atangana-Baleanu (AB) with Mittag-Leffler kernel and Atangana-Toufik method (ATM) of fractional derivative model for the Smoking epidemic. Qualitative analysis has been made to `verify the steady state. Stability analysis has been made using self-mapping and Banach space as well as fractional system is analyzed locally and globally by using first derivative of Lyapunov. Also derive a unique solution for fractional-order model which is a new approach for such type of biological models. A few numerical simulations are done by using the given method of fractional order to explain and support the theoretical results.
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spelling pubmed-91422912022-05-28 Analysis and Simulation of Fractional Order Smoking Epidemic Model Ahmad, Aqeel Farman, Muhammad Ghafar, Abdul Inc, Mustafa Ahmad, Mohammad Ozair Sene, Ndolane Comput Math Methods Med Research Article In recent years, there are many new definitions that were proposed related to fractional derivatives, and with the help of these definitions, mathematical models were established to overcome the various real-life problems. The true purpose of the current work is to develop and analyze Atangana-Baleanu (AB) with Mittag-Leffler kernel and Atangana-Toufik method (ATM) of fractional derivative model for the Smoking epidemic. Qualitative analysis has been made to `verify the steady state. Stability analysis has been made using self-mapping and Banach space as well as fractional system is analyzed locally and globally by using first derivative of Lyapunov. Also derive a unique solution for fractional-order model which is a new approach for such type of biological models. A few numerical simulations are done by using the given method of fractional order to explain and support the theoretical results. Hindawi 2022-05-20 /pmc/articles/PMC9142291/ /pubmed/35633925 http://dx.doi.org/10.1155/2022/9683187 Text en Copyright © 2022 Aqeel Ahmad et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ahmad, Aqeel
Farman, Muhammad
Ghafar, Abdul
Inc, Mustafa
Ahmad, Mohammad Ozair
Sene, Ndolane
Analysis and Simulation of Fractional Order Smoking Epidemic Model
title Analysis and Simulation of Fractional Order Smoking Epidemic Model
title_full Analysis and Simulation of Fractional Order Smoking Epidemic Model
title_fullStr Analysis and Simulation of Fractional Order Smoking Epidemic Model
title_full_unstemmed Analysis and Simulation of Fractional Order Smoking Epidemic Model
title_short Analysis and Simulation of Fractional Order Smoking Epidemic Model
title_sort analysis and simulation of fractional order smoking epidemic model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142291/
https://www.ncbi.nlm.nih.gov/pubmed/35633925
http://dx.doi.org/10.1155/2022/9683187
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