A Fourier Series Technique for Approximate Solutions of Modified Anomalous Time-Fractional Sub-Diffusion Equations

This article presents an innovative approximating technique for addressing modified anomalous time-fractional sub-diffusion equations (MAFSDEs) of the Caputo type. These equations generalize classical diffusion equations, which involve fractional derivatives with respect to time, capturing the non-l...

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Main Authors: Samad Kheybari, Farzaneh Alizadeh, Mohammad Taghi Darvishi, Kamyar Hosseini
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Fractal and Fractional
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Online Access:https://www.mdpi.com/2504-3110/8/12/718
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author Samad Kheybari
Farzaneh Alizadeh
Mohammad Taghi Darvishi
Kamyar Hosseini
author_facet Samad Kheybari
Farzaneh Alizadeh
Mohammad Taghi Darvishi
Kamyar Hosseini
author_sort Samad Kheybari
collection DOAJ
description This article presents an innovative approximating technique for addressing modified anomalous time-fractional sub-diffusion equations (MAFSDEs) of the Caputo type. These equations generalize classical diffusion equations, which involve fractional derivatives with respect to time, capturing the non-local and history-dependent behavior typical in sub-diffusion processes. In such a model, the particle transports slower than in a standard diffusion, often due to obstacles or memory effects in the medium. The core of the proposed technique involves transforming the original problem into a family of independent fractional-order ordinary differential equations (FODEs). This transformation is achieved using the Fourier expansion method. Each of these resulting FODEs is defined under initial value conditions which are derived from the initial condition of the original problem. To solve them, for each resulting FODE, some secondary initial value problems are introduced. By solving these secondary initial value problems, some particular solutions are obtained and then we combine them linearly in an optimal manner. This combination is essential to estimate the solution of the original problem. To evaluate the accuracy and effectiveness of the proposed scheme, we conduct a various test problem. For each problem, we analyze the observed convergence order indicators and compare them with those from other methods. Our comparison demonstrates that the proposed technique provides enhanced precision and reliability in respect with the current numerical approaches in the literature.
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spelling doaj-art-c321df35d0c4487e8d3f9d33b21f15862025-08-20T02:53:35ZengMDPI AGFractal and Fractional2504-31102024-12-0181271810.3390/fractalfract8120718A Fourier Series Technique for Approximate Solutions of Modified Anomalous Time-Fractional Sub-Diffusion EquationsSamad Kheybari0Farzaneh Alizadeh1Mohammad Taghi Darvishi2Kamyar Hosseini3Faculty of Art and Science, University of Kyrenia, TRNC, Mersin 10, Kyrenia 99320, TurkeyFaculty of Art and Science, University of Kyrenia, TRNC, Mersin 10, Kyrenia 99320, TurkeyDepartment of Mathematics, Razi University, Kermanshah 67149, IranMathematics Research Center, Near East University, TRNC, Mersin 10, Nicosia 99138, TurkeyThis article presents an innovative approximating technique for addressing modified anomalous time-fractional sub-diffusion equations (MAFSDEs) of the Caputo type. These equations generalize classical diffusion equations, which involve fractional derivatives with respect to time, capturing the non-local and history-dependent behavior typical in sub-diffusion processes. In such a model, the particle transports slower than in a standard diffusion, often due to obstacles or memory effects in the medium. The core of the proposed technique involves transforming the original problem into a family of independent fractional-order ordinary differential equations (FODEs). This transformation is achieved using the Fourier expansion method. Each of these resulting FODEs is defined under initial value conditions which are derived from the initial condition of the original problem. To solve them, for each resulting FODE, some secondary initial value problems are introduced. By solving these secondary initial value problems, some particular solutions are obtained and then we combine them linearly in an optimal manner. This combination is essential to estimate the solution of the original problem. To evaluate the accuracy and effectiveness of the proposed scheme, we conduct a various test problem. For each problem, we analyze the observed convergence order indicators and compare them with those from other methods. Our comparison demonstrates that the proposed technique provides enhanced precision and reliability in respect with the current numerical approaches in the literature.https://www.mdpi.com/2504-3110/8/12/718Caputo-type fractional derivativemodified anomalous time-fractional sub-diffusion problemFourier expansion methodsecondary initial value problem
spellingShingle Samad Kheybari
Farzaneh Alizadeh
Mohammad Taghi Darvishi
Kamyar Hosseini
A Fourier Series Technique for Approximate Solutions of Modified Anomalous Time-Fractional Sub-Diffusion Equations
Fractal and Fractional
Caputo-type fractional derivative
modified anomalous time-fractional sub-diffusion problem
Fourier expansion method
secondary initial value problem
title A Fourier Series Technique for Approximate Solutions of Modified Anomalous Time-Fractional Sub-Diffusion Equations
title_full A Fourier Series Technique for Approximate Solutions of Modified Anomalous Time-Fractional Sub-Diffusion Equations
title_fullStr A Fourier Series Technique for Approximate Solutions of Modified Anomalous Time-Fractional Sub-Diffusion Equations
title_full_unstemmed A Fourier Series Technique for Approximate Solutions of Modified Anomalous Time-Fractional Sub-Diffusion Equations
title_short A Fourier Series Technique for Approximate Solutions of Modified Anomalous Time-Fractional Sub-Diffusion Equations
title_sort fourier series technique for approximate solutions of modified anomalous time fractional sub diffusion equations
topic Caputo-type fractional derivative
modified anomalous time-fractional sub-diffusion problem
Fourier expansion method
secondary initial value problem
url https://www.mdpi.com/2504-3110/8/12/718
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