Sumudu residual power series method to solve time-fractional Fisher’s equation

In this paper, the one-dimensional nonlinear temporal fractional-order Fisher’s equation is solved by using the Sumudu residual power series method (SRPSM), a powerful computing technique. This method combines the RPSM and Sumudu transform to provide approximations of solutions using the notion of l...

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Main Authors: Rajendra Pant, Geeta Arora, Homan Emadifar, Ahmed A. Hamoud
Format: Article
Language:English
Published: World Scientific Publishing 2025-01-01
Series:Mathematics Open
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Online Access:https://www.worldscientific.com/doi/10.1142/S281100722450010X
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author Rajendra Pant
Geeta Arora
Homan Emadifar
Ahmed A. Hamoud
author_facet Rajendra Pant
Geeta Arora
Homan Emadifar
Ahmed A. Hamoud
author_sort Rajendra Pant
collection DOAJ
description In this paper, the one-dimensional nonlinear temporal fractional-order Fisher’s equation is solved by using the Sumudu residual power series method (SRPSM), a powerful computing technique. This method combines the RPSM and Sumudu transform to provide approximations of solutions using the notion of limit, in contrast to the standard residual power series method, which necessitates computing fractional derivatives. With reference to the equation under consideration, this work compares and validates the solution obtained by using the considered method. The applicability, effectiveness, and dependability of the provided strategy were confirmed through the analysis of this equation and numerical simulations.
format Article
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institution Kabale University
issn 2811-0072
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spelling doaj-art-6c00cfade3944b348d3fea99af38843f2025-02-03T07:04:29ZengWorld Scientific PublishingMathematics Open2811-00722025-01-010410.1142/S281100722450010XSumudu residual power series method to solve time-fractional Fisher’s equationRajendra Pant0Geeta Arora1Homan Emadifar2Ahmed A. Hamoud3Faculty of Science and Technology, Far Western University, NepalDepartment of Mathematics, School of Chemical Engineering and Physical Sciences, Lovely Professional University, Punjab, IndiaDepartment of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 602 105, Tamil Nadu, IndiaDepartment of Mathematics, Taiz University, P. O. Box 6803, Taiz, YemenIn this paper, the one-dimensional nonlinear temporal fractional-order Fisher’s equation is solved by using the Sumudu residual power series method (SRPSM), a powerful computing technique. This method combines the RPSM and Sumudu transform to provide approximations of solutions using the notion of limit, in contrast to the standard residual power series method, which necessitates computing fractional derivatives. With reference to the equation under consideration, this work compares and validates the solution obtained by using the considered method. The applicability, effectiveness, and dependability of the provided strategy were confirmed through the analysis of this equation and numerical simulations.https://www.worldscientific.com/doi/10.1142/S281100722450010XSumudu transformFisher equationresidual power seriesapproximate solutionsinverse Sumudu transform
spellingShingle Rajendra Pant
Geeta Arora
Homan Emadifar
Ahmed A. Hamoud
Sumudu residual power series method to solve time-fractional Fisher’s equation
Mathematics Open
Sumudu transform
Fisher equation
residual power series
approximate solutions
inverse Sumudu transform
title Sumudu residual power series method to solve time-fractional Fisher’s equation
title_full Sumudu residual power series method to solve time-fractional Fisher’s equation
title_fullStr Sumudu residual power series method to solve time-fractional Fisher’s equation
title_full_unstemmed Sumudu residual power series method to solve time-fractional Fisher’s equation
title_short Sumudu residual power series method to solve time-fractional Fisher’s equation
title_sort sumudu residual power series method to solve time fractional fisher s equation
topic Sumudu transform
Fisher equation
residual power series
approximate solutions
inverse Sumudu transform
url https://www.worldscientific.com/doi/10.1142/S281100722450010X
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