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Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis

The purpose of this work is to analytically simulate the mutual impact for the existence of both temporal and spatial Caputo fractional derivative parameters in higher-dimensional physical models. For this purpose, we employ the γ̅-Maclaurin series along with an amendment of the power series techniq...

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Autores principales: Jaradat, Imad, Alquran, Marwan, Abdel-Muhsen, Ruwa, Momani, Shaher, Baleanu, Dumitru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364134/
https://www.ncbi.nlm.nih.gov/pubmed/32834814
http://dx.doi.org/10.1186/s13662-020-02822-7
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author Jaradat, Imad
Alquran, Marwan
Abdel-Muhsen, Ruwa
Momani, Shaher
Baleanu, Dumitru
author_facet Jaradat, Imad
Alquran, Marwan
Abdel-Muhsen, Ruwa
Momani, Shaher
Baleanu, Dumitru
author_sort Jaradat, Imad
collection PubMed
description The purpose of this work is to analytically simulate the mutual impact for the existence of both temporal and spatial Caputo fractional derivative parameters in higher-dimensional physical models. For this purpose, we employ the γ̅-Maclaurin series along with an amendment of the power series technique. To supplement our idea, we present the necessary convergence analysis regarding the γ̅-Maclaurin series. As for the application side, we solved versions of the higher-dimensional heat and wave models with spatial and temporal Caputo fractional derivatives in terms of a rapidly convergent γ̅-Maclaurin series. The method performed extremely well, and the projections of the obtained solutions into the integer space are compatible with solutions available in the literature. Finally, the graphical analysis showed a possibility that the Caputo fractional derivatives reflect some memory characteristics.
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spelling pubmed-73641342020-07-16 Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis Jaradat, Imad Alquran, Marwan Abdel-Muhsen, Ruwa Momani, Shaher Baleanu, Dumitru Adv Differ Equ Research The purpose of this work is to analytically simulate the mutual impact for the existence of both temporal and spatial Caputo fractional derivative parameters in higher-dimensional physical models. For this purpose, we employ the γ̅-Maclaurin series along with an amendment of the power series technique. To supplement our idea, we present the necessary convergence analysis regarding the γ̅-Maclaurin series. As for the application side, we solved versions of the higher-dimensional heat and wave models with spatial and temporal Caputo fractional derivatives in terms of a rapidly convergent γ̅-Maclaurin series. The method performed extremely well, and the projections of the obtained solutions into the integer space are compatible with solutions available in the literature. Finally, the graphical analysis showed a possibility that the Caputo fractional derivatives reflect some memory characteristics. Springer International Publishing 2020-07-16 2020 /pmc/articles/PMC7364134/ /pubmed/32834814 http://dx.doi.org/10.1186/s13662-020-02822-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Jaradat, Imad
Alquran, Marwan
Abdel-Muhsen, Ruwa
Momani, Shaher
Baleanu, Dumitru
Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis
title Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis
title_full Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis
title_fullStr Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis
title_full_unstemmed Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis
title_short Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis
title_sort higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364134/
https://www.ncbi.nlm.nih.gov/pubmed/32834814
http://dx.doi.org/10.1186/s13662-020-02822-7
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