Cargando…

A Discretization Approach for the Nonlinear Fractional Logistic Equation

The present study aimed to develop and investigate the local discontinuous Galerkin method for the numerical solution of the fractional logistic differential equation, occurring in many biological and social science phenomena. The fractional derivative is described in the sense of Liouville-Caputo....

Descripción completa

Detalles Bibliográficos
Autores principales: Izadi, Mohammad, Srivastava, Hari M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711727/
https://www.ncbi.nlm.nih.gov/pubmed/33287093
http://dx.doi.org/10.3390/e22111328
_version_ 1783618210700984320
author Izadi, Mohammad
Srivastava, Hari M.
author_facet Izadi, Mohammad
Srivastava, Hari M.
author_sort Izadi, Mohammad
collection PubMed
description The present study aimed to develop and investigate the local discontinuous Galerkin method for the numerical solution of the fractional logistic differential equation, occurring in many biological and social science phenomena. The fractional derivative is described in the sense of Liouville-Caputo. Using the upwind numerical fluxes, the numerical stability of the method is proved in the [Formula: see text] norm. With the aid of the shifted Legendre polynomials, the weak form is reduced into a system of the algebraic equations to be solved in each subinterval. Furthermore, to handle the nonlinear term, the technique of product approximation is utilized. The utility of the present discretization technique and some well-known standard schemes is checked through numerical calculations on a range of linear and nonlinear problems with analytical solutions.
format Online
Article
Text
id pubmed-7711727
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77117272021-02-24 A Discretization Approach for the Nonlinear Fractional Logistic Equation Izadi, Mohammad Srivastava, Hari M. Entropy (Basel) Article The present study aimed to develop and investigate the local discontinuous Galerkin method for the numerical solution of the fractional logistic differential equation, occurring in many biological and social science phenomena. The fractional derivative is described in the sense of Liouville-Caputo. Using the upwind numerical fluxes, the numerical stability of the method is proved in the [Formula: see text] norm. With the aid of the shifted Legendre polynomials, the weak form is reduced into a system of the algebraic equations to be solved in each subinterval. Furthermore, to handle the nonlinear term, the technique of product approximation is utilized. The utility of the present discretization technique and some well-known standard schemes is checked through numerical calculations on a range of linear and nonlinear problems with analytical solutions. MDPI 2020-11-21 /pmc/articles/PMC7711727/ /pubmed/33287093 http://dx.doi.org/10.3390/e22111328 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Izadi, Mohammad
Srivastava, Hari M.
A Discretization Approach for the Nonlinear Fractional Logistic Equation
title A Discretization Approach for the Nonlinear Fractional Logistic Equation
title_full A Discretization Approach for the Nonlinear Fractional Logistic Equation
title_fullStr A Discretization Approach for the Nonlinear Fractional Logistic Equation
title_full_unstemmed A Discretization Approach for the Nonlinear Fractional Logistic Equation
title_short A Discretization Approach for the Nonlinear Fractional Logistic Equation
title_sort discretization approach for the nonlinear fractional logistic equation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711727/
https://www.ncbi.nlm.nih.gov/pubmed/33287093
http://dx.doi.org/10.3390/e22111328
work_keys_str_mv AT izadimohammad adiscretizationapproachforthenonlinearfractionallogisticequation
AT srivastavaharim adiscretizationapproachforthenonlinearfractionallogisticequation
AT izadimohammad discretizationapproachforthenonlinearfractionallogisticequation
AT srivastavaharim discretizationapproachforthenonlinearfractionallogisticequation