A Meshfree Approach for Solving Fractional Galilei Invariant Advection–Diffusion Equation through Weighted–Shifted Grünwald Operator

Fractional Galilei invariant advection–diffusion (GIADE) equation, along with its more general version that is the GIADE equation with nonlinear source term, is discretized by coupling weighted and shifted Grünwald difference approximation formulae and Crank–Nicolson technique. The new version of th...

Full description

Bibliographic Details
Main Authors: Farzaneh Safari, Qingshan Tong, Zhen Tang, Jun Lu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/21/4008
_version_ 1797467373219872768
author Farzaneh Safari
Qingshan Tong
Zhen Tang
Jun Lu
author_facet Farzaneh Safari
Qingshan Tong
Zhen Tang
Jun Lu
author_sort Farzaneh Safari
collection DOAJ
description Fractional Galilei invariant advection–diffusion (GIADE) equation, along with its more general version that is the GIADE equation with nonlinear source term, is discretized by coupling weighted and shifted Grünwald difference approximation formulae and Crank–Nicolson technique. The new version of the backward substitution method, a well-established class of meshfree methods, is proposed for a numerical approximation of the consequent equation. In the present approach, the final approximation is given by the summation of the radial basis functions, the primary approximation, and the related correcting functions. Then, the approximation is substituted back to the governing equations where the unknown parameters can be determined. The polynomials, trigonometric functions, multiquadric, or the Gaussian radial basis functions are used in the approximation of the GIADE. Moreover, a quasilinearization technique is employed to transform a nonlinear source term into a linear source term. Finally, three numerical experiments in one and two dimensions are presented to support the method.
first_indexed 2024-03-09T18:52:44Z
format Article
id doaj.art-4464e967a74e42c89498449f533cd92a
institution Directory Open Access Journal
issn 2227-7390
language English
last_indexed 2024-03-09T18:52:44Z
publishDate 2022-10-01
publisher MDPI AG
record_format Article
series Mathematics
spelling doaj.art-4464e967a74e42c89498449f533cd92a2023-11-24T05:43:29ZengMDPI AGMathematics2227-73902022-10-011021400810.3390/math10214008A Meshfree Approach for Solving Fractional Galilei Invariant Advection–Diffusion Equation through Weighted–Shifted Grünwald OperatorFarzaneh Safari0Qingshan Tong1Zhen Tang2Jun Lu3School of Mathematics and Statistics, Changsha University of Science and Technology, No. 960, 2nd Section, South Wanjiali Road, Tianxin District, Changsha 410004, ChinaSchool of Mathematics and Statistics, Changsha University of Science and Technology, No. 960, 2nd Section, South Wanjiali Road, Tianxin District, Changsha 410004, ChinaSchool of Mathematics and Statistics, Changsha University of Science and Technology, No. 960, 2nd Section, South Wanjiali Road, Tianxin District, Changsha 410004, ChinaNanjing Hydraulic Research Institute, Hujuguan 34 Road, Nanjing 210024, ChinaFractional Galilei invariant advection–diffusion (GIADE) equation, along with its more general version that is the GIADE equation with nonlinear source term, is discretized by coupling weighted and shifted Grünwald difference approximation formulae and Crank–Nicolson technique. The new version of the backward substitution method, a well-established class of meshfree methods, is proposed for a numerical approximation of the consequent equation. In the present approach, the final approximation is given by the summation of the radial basis functions, the primary approximation, and the related correcting functions. Then, the approximation is substituted back to the governing equations where the unknown parameters can be determined. The polynomials, trigonometric functions, multiquadric, or the Gaussian radial basis functions are used in the approximation of the GIADE. Moreover, a quasilinearization technique is employed to transform a nonlinear source term into a linear source term. Finally, three numerical experiments in one and two dimensions are presented to support the method.https://www.mdpi.com/2227-7390/10/21/4008weighted Grünwald differenceirregular domainnonlinear functional diffusion problemquasilinearization technique
spellingShingle Farzaneh Safari
Qingshan Tong
Zhen Tang
Jun Lu
A Meshfree Approach for Solving Fractional Galilei Invariant Advection–Diffusion Equation through Weighted–Shifted Grünwald Operator
Mathematics
weighted Grünwald difference
irregular domain
nonlinear functional diffusion problem
quasilinearization technique
title A Meshfree Approach for Solving Fractional Galilei Invariant Advection–Diffusion Equation through Weighted–Shifted Grünwald Operator
title_full A Meshfree Approach for Solving Fractional Galilei Invariant Advection–Diffusion Equation through Weighted–Shifted Grünwald Operator
title_fullStr A Meshfree Approach for Solving Fractional Galilei Invariant Advection–Diffusion Equation through Weighted–Shifted Grünwald Operator
title_full_unstemmed A Meshfree Approach for Solving Fractional Galilei Invariant Advection–Diffusion Equation through Weighted–Shifted Grünwald Operator
title_short A Meshfree Approach for Solving Fractional Galilei Invariant Advection–Diffusion Equation through Weighted–Shifted Grünwald Operator
title_sort meshfree approach for solving fractional galilei invariant advection diffusion equation through weighted shifted grunwald operator
topic weighted Grünwald difference
irregular domain
nonlinear functional diffusion problem
quasilinearization technique
url https://www.mdpi.com/2227-7390/10/21/4008
work_keys_str_mv AT farzanehsafari ameshfreeapproachforsolvingfractionalgalileiinvariantadvectiondiffusionequationthroughweightedshiftedgrunwaldoperator
AT qingshantong ameshfreeapproachforsolvingfractionalgalileiinvariantadvectiondiffusionequationthroughweightedshiftedgrunwaldoperator
AT zhentang ameshfreeapproachforsolvingfractionalgalileiinvariantadvectiondiffusionequationthroughweightedshiftedgrunwaldoperator
AT junlu ameshfreeapproachforsolvingfractionalgalileiinvariantadvectiondiffusionequationthroughweightedshiftedgrunwaldoperator
AT farzanehsafari meshfreeapproachforsolvingfractionalgalileiinvariantadvectiondiffusionequationthroughweightedshiftedgrunwaldoperator
AT qingshantong meshfreeapproachforsolvingfractionalgalileiinvariantadvectiondiffusionequationthroughweightedshiftedgrunwaldoperator
AT zhentang meshfreeapproachforsolvingfractionalgalileiinvariantadvectiondiffusionequationthroughweightedshiftedgrunwaldoperator
AT junlu meshfreeapproachforsolvingfractionalgalileiinvariantadvectiondiffusionequationthroughweightedshiftedgrunwaldoperator