A numerical investigation of Caputo time fractional Allen–Cahn equation using redefined cubic B-spline functions

Abstract We present a collocation approach based on redefined cubic B-spline (RCBS) functions and finite difference formulation to study the approximate solution of time fractional Allen–Cahn equation (ACE). We discretize the time fractional derivative of order α ∈ ( 0 , 1 ] $\alpha\in(0,1]$ by usin...

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Main Authors: Nauman Khalid, Muhammad Abbas, Muhammad Kashif Iqbal, Dumitru Baleanu
Format: Article
Language:English
Published: SpringerOpen 2020-04-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-020-02616-x
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spelling doaj-7aa592b0f3f14481b9bb07f5b33232002020-11-25T03:10:23ZengSpringerOpenAdvances in Difference Equations1687-18472020-04-012020112210.1186/s13662-020-02616-xA numerical investigation of Caputo time fractional Allen–Cahn equation using redefined cubic B-spline functionsNauman Khalid0Muhammad Abbas1Muhammad Kashif Iqbal2Dumitru Baleanu3Department of Mathematics, National College of Business Administration & EconomicsInformetrics Research Group, Ton Duc Thang UniversityDepartment of Mathematics, Government College UniversityDepartment of Mathematics, Faculty of Arts and Sciences, Cankaya UniversityAbstract We present a collocation approach based on redefined cubic B-spline (RCBS) functions and finite difference formulation to study the approximate solution of time fractional Allen–Cahn equation (ACE). We discretize the time fractional derivative of order α ∈ ( 0 , 1 ] $\alpha\in(0,1]$ by using finite forward difference formula and bring RCBS functions into action for spatial discretization. We find that the numerical scheme is of order O ( h 2 + Δ t 2 − α ) $O(h^{2}+\Delta t^{2-\alpha})$ and unconditionally stable. We test the computational efficiency of the proposed method through some numerical examples subject to homogeneous/nonhomogeneous boundary constraints. The simulation results show a superior agreement with the exact solution as compared to those found in the literature.http://link.springer.com/article/10.1186/s13662-020-02616-xRedefined cubic B-spline functionsTime fractional Allen–Cahn equationCaputo’s time fractional derivativeStability and convergenceFinite difference formulation
collection DOAJ
language English
format Article
sources DOAJ
author Nauman Khalid
Muhammad Abbas
Muhammad Kashif Iqbal
Dumitru Baleanu
spellingShingle Nauman Khalid
Muhammad Abbas
Muhammad Kashif Iqbal
Dumitru Baleanu
A numerical investigation of Caputo time fractional Allen–Cahn equation using redefined cubic B-spline functions
Advances in Difference Equations
Redefined cubic B-spline functions
Time fractional Allen–Cahn equation
Caputo’s time fractional derivative
Stability and convergence
Finite difference formulation
author_facet Nauman Khalid
Muhammad Abbas
Muhammad Kashif Iqbal
Dumitru Baleanu
author_sort Nauman Khalid
title A numerical investigation of Caputo time fractional Allen–Cahn equation using redefined cubic B-spline functions
title_short A numerical investigation of Caputo time fractional Allen–Cahn equation using redefined cubic B-spline functions
title_full A numerical investigation of Caputo time fractional Allen–Cahn equation using redefined cubic B-spline functions
title_fullStr A numerical investigation of Caputo time fractional Allen–Cahn equation using redefined cubic B-spline functions
title_full_unstemmed A numerical investigation of Caputo time fractional Allen–Cahn equation using redefined cubic B-spline functions
title_sort numerical investigation of caputo time fractional allen–cahn equation using redefined cubic b-spline functions
publisher SpringerOpen
series Advances in Difference Equations
issn 1687-1847
publishDate 2020-04-01
description Abstract We present a collocation approach based on redefined cubic B-spline (RCBS) functions and finite difference formulation to study the approximate solution of time fractional Allen–Cahn equation (ACE). We discretize the time fractional derivative of order α ∈ ( 0 , 1 ] $\alpha\in(0,1]$ by using finite forward difference formula and bring RCBS functions into action for spatial discretization. We find that the numerical scheme is of order O ( h 2 + Δ t 2 − α ) $O(h^{2}+\Delta t^{2-\alpha})$ and unconditionally stable. We test the computational efficiency of the proposed method through some numerical examples subject to homogeneous/nonhomogeneous boundary constraints. The simulation results show a superior agreement with the exact solution as compared to those found in the literature.
topic Redefined cubic B-spline functions
Time fractional Allen–Cahn equation
Caputo’s time fractional derivative
Stability and convergence
Finite difference formulation
url http://link.springer.com/article/10.1186/s13662-020-02616-x
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