Numerical Approximations for the Solutions of Fourth Order Time Fractional Evolution Problems Using a Novel Spline Technique

Developing mathematical models of fractional order for physical phenomena and constructing numerical solutions for these models are crucial issues in mathematics, physics, and engineering. Higher order temporal fractional evolution problems (EPs) with Caputo’s derivative (CD) are numerically solved...

Full description

Bibliographic Details
Main Authors: Ghazala Akram, Muhammad Abbas, Hira Tariq, Maasoomah Sadaf, Thabet Abdeljawad, Manar A. Alqudah
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/6/3/170
_version_ 1797471553490780160
author Ghazala Akram
Muhammad Abbas
Hira Tariq
Maasoomah Sadaf
Thabet Abdeljawad
Manar A. Alqudah
author_facet Ghazala Akram
Muhammad Abbas
Hira Tariq
Maasoomah Sadaf
Thabet Abdeljawad
Manar A. Alqudah
author_sort Ghazala Akram
collection DOAJ
description Developing mathematical models of fractional order for physical phenomena and constructing numerical solutions for these models are crucial issues in mathematics, physics, and engineering. Higher order temporal fractional evolution problems (EPs) with Caputo’s derivative (CD) are numerically solved using a sextic polynomial spline technique (SPST). These equations are frequently applied in a wide variety of real-world applications, such as strain gradient elasticity, phase separation in binary mixtures, and modelling of thin beams and plates, all of which are key parts of mechanical engineering. The SPST can be used for space discretization, whereas the backward Euler formula can be used for time discretization. For the temporal discretization, the method’s convergence and stability are assessed. To show the accuracy and applicability of the proposed technique, numerical simulations are employed.
first_indexed 2024-03-09T19:49:49Z
format Article
id doaj.art-ffc25274c1524b1299a435dbe50b00ea
institution Directory Open Access Journal
issn 2504-3110
language English
last_indexed 2024-03-09T19:49:49Z
publishDate 2022-03-01
publisher MDPI AG
record_format Article
series Fractal and Fractional
spelling doaj.art-ffc25274c1524b1299a435dbe50b00ea2023-11-24T01:14:50ZengMDPI AGFractal and Fractional2504-31102022-03-016317010.3390/fractalfract6030170Numerical Approximations for the Solutions of Fourth Order Time Fractional Evolution Problems Using a Novel Spline TechniqueGhazala Akram0Muhammad Abbas1Hira Tariq2Maasoomah Sadaf3Thabet Abdeljawad4Manar A. Alqudah5Department of Mathematics, University of the Punjab, Lahore 54590, PakistanDepartment of Mathematics, University of Sargodha, Sargodha 40100, PakistanDepartment of Mathematics, Government College Women University, Sialkot 51310, PakistanDepartment of Mathematics, University of the Punjab, Lahore 54590, PakistanDepartment of Mathematics and Sciences, Prince Sultan University, P.O. Box 66833, Riyadh 11586, Saudi ArabiaDepartment of Mathematical Sciences, Faculty of Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDeveloping mathematical models of fractional order for physical phenomena and constructing numerical solutions for these models are crucial issues in mathematics, physics, and engineering. Higher order temporal fractional evolution problems (EPs) with Caputo’s derivative (CD) are numerically solved using a sextic polynomial spline technique (SPST). These equations are frequently applied in a wide variety of real-world applications, such as strain gradient elasticity, phase separation in binary mixtures, and modelling of thin beams and plates, all of which are key parts of mechanical engineering. The SPST can be used for space discretization, whereas the backward Euler formula can be used for time discretization. For the temporal discretization, the method’s convergence and stability are assessed. To show the accuracy and applicability of the proposed technique, numerical simulations are employed.https://www.mdpi.com/2504-3110/6/3/170higher-order partial differential equations (PDEs)evolution problemsCaputo time fractional derivativesextic spline polynomialscollocation method
spellingShingle Ghazala Akram
Muhammad Abbas
Hira Tariq
Maasoomah Sadaf
Thabet Abdeljawad
Manar A. Alqudah
Numerical Approximations for the Solutions of Fourth Order Time Fractional Evolution Problems Using a Novel Spline Technique
Fractal and Fractional
higher-order partial differential equations (PDEs)
evolution problems
Caputo time fractional derivative
sextic spline polynomials
collocation method
title Numerical Approximations for the Solutions of Fourth Order Time Fractional Evolution Problems Using a Novel Spline Technique
title_full Numerical Approximations for the Solutions of Fourth Order Time Fractional Evolution Problems Using a Novel Spline Technique
title_fullStr Numerical Approximations for the Solutions of Fourth Order Time Fractional Evolution Problems Using a Novel Spline Technique
title_full_unstemmed Numerical Approximations for the Solutions of Fourth Order Time Fractional Evolution Problems Using a Novel Spline Technique
title_short Numerical Approximations for the Solutions of Fourth Order Time Fractional Evolution Problems Using a Novel Spline Technique
title_sort numerical approximations for the solutions of fourth order time fractional evolution problems using a novel spline technique
topic higher-order partial differential equations (PDEs)
evolution problems
Caputo time fractional derivative
sextic spline polynomials
collocation method
url https://www.mdpi.com/2504-3110/6/3/170
work_keys_str_mv AT ghazalaakram numericalapproximationsforthesolutionsoffourthordertimefractionalevolutionproblemsusinganovelsplinetechnique
AT muhammadabbas numericalapproximationsforthesolutionsoffourthordertimefractionalevolutionproblemsusinganovelsplinetechnique
AT hiratariq numericalapproximationsforthesolutionsoffourthordertimefractionalevolutionproblemsusinganovelsplinetechnique
AT maasoomahsadaf numericalapproximationsforthesolutionsoffourthordertimefractionalevolutionproblemsusinganovelsplinetechnique
AT thabetabdeljawad numericalapproximationsforthesolutionsoffourthordertimefractionalevolutionproblemsusinganovelsplinetechnique
AT manaraalqudah numericalapproximationsforthesolutionsoffourthordertimefractionalevolutionproblemsusinganovelsplinetechnique