Numerical approximation of the fractional HIV model using the meshless local Petrov–Galerkin method

Abstract This paper deals with the model of fractional HIV-1 infection of CD4+T cells transformation with homogeneous Neumann boundary conditions. Numerical methods for solving fractional time differential equations are developed with Caputo’s definition. The forward difference methods were construc...

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Main Authors: Kunwithree Phramrung, Anirut Luadsong, Nitima Aschariyaphotha
Format: Article
Language:English
Published: SpringerOpen 2019-09-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-019-2310-2
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spelling doaj-0167fd98f80945dfaddca6d8cce05e512020-11-25T03:33:06ZengSpringerOpenAdvances in Difference Equations1687-18472019-09-012019111410.1186/s13662-019-2310-2Numerical approximation of the fractional HIV model using the meshless local Petrov–Galerkin methodKunwithree Phramrung0Anirut Luadsong1Nitima Aschariyaphotha2Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT)Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT)Ratchaburi Learning Park, King Mongkut’s University of Technology Thonburi (KMUTT)Abstract This paper deals with the model of fractional HIV-1 infection of CD4+T cells transformation with homogeneous Neumann boundary conditions. Numerical methods for solving fractional time differential equations are developed with Caputo’s definition. The forward difference methods were constructed applied to the approximation of the fractional time differential equation. The MLPG method is used to solve the problem of fractional HIV models for spatial discretization. Approximated solutions at the time level n use conventional iterative methods such as fixed point iterations to handle the nonlinear parts. An analysis of stability and convergence of numerical schemes is presented along with the eigenvalue of the matrix. The abilities of the developed formula was confirmed through four numerical examples base on convergence and accuracy of numerical results. The results of the numerical experiments were compared with the solution of the integer order differential equation to confirm the accuracy and efficiency of the proposed scheme. The simulation results show that the formula is easy to use and useful for those interested in fractional derivatives.http://link.springer.com/article/10.1186/s13662-019-2310-2Caputo fractional derivativeFractional order differential equationHIV modelMeshless local Petrov–Galerkin method
collection DOAJ
language English
format Article
sources DOAJ
author Kunwithree Phramrung
Anirut Luadsong
Nitima Aschariyaphotha
spellingShingle Kunwithree Phramrung
Anirut Luadsong
Nitima Aschariyaphotha
Numerical approximation of the fractional HIV model using the meshless local Petrov–Galerkin method
Advances in Difference Equations
Caputo fractional derivative
Fractional order differential equation
HIV model
Meshless local Petrov–Galerkin method
author_facet Kunwithree Phramrung
Anirut Luadsong
Nitima Aschariyaphotha
author_sort Kunwithree Phramrung
title Numerical approximation of the fractional HIV model using the meshless local Petrov–Galerkin method
title_short Numerical approximation of the fractional HIV model using the meshless local Petrov–Galerkin method
title_full Numerical approximation of the fractional HIV model using the meshless local Petrov–Galerkin method
title_fullStr Numerical approximation of the fractional HIV model using the meshless local Petrov–Galerkin method
title_full_unstemmed Numerical approximation of the fractional HIV model using the meshless local Petrov–Galerkin method
title_sort numerical approximation of the fractional hiv model using the meshless local petrov–galerkin method
publisher SpringerOpen
series Advances in Difference Equations
issn 1687-1847
publishDate 2019-09-01
description Abstract This paper deals with the model of fractional HIV-1 infection of CD4+T cells transformation with homogeneous Neumann boundary conditions. Numerical methods for solving fractional time differential equations are developed with Caputo’s definition. The forward difference methods were constructed applied to the approximation of the fractional time differential equation. The MLPG method is used to solve the problem of fractional HIV models for spatial discretization. Approximated solutions at the time level n use conventional iterative methods such as fixed point iterations to handle the nonlinear parts. An analysis of stability and convergence of numerical schemes is presented along with the eigenvalue of the matrix. The abilities of the developed formula was confirmed through four numerical examples base on convergence and accuracy of numerical results. The results of the numerical experiments were compared with the solution of the integer order differential equation to confirm the accuracy and efficiency of the proposed scheme. The simulation results show that the formula is easy to use and useful for those interested in fractional derivatives.
topic Caputo fractional derivative
Fractional order differential equation
HIV model
Meshless local Petrov–Galerkin method
url http://link.springer.com/article/10.1186/s13662-019-2310-2
work_keys_str_mv AT kunwithreephramrung numericalapproximationofthefractionalhivmodelusingthemeshlesslocalpetrovgalerkinmethod
AT anirutluadsong numericalapproximationofthefractionalhivmodelusingthemeshlesslocalpetrovgalerkinmethod
AT nitimaaschariyaphotha numericalapproximationofthefractionalhivmodelusingthemeshlesslocalpetrovgalerkinmethod
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