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Numerical modelling of advection diffusion equation using Chebyshev spectral collocation method and Laplace transform

Authors :
Farman Ali Shah
Kamran
Kamal Shah
Thabet Abdeljawad
Source :
Results in Applied Mathematics, Vol 21, Iss , Pp 100420- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

In this article a numerical method for numerical modelling of advection diffusion equation is developed. The proposed method is based on Laplace transform (LT) and Chebyshev spectral collocation method (CSCM). The LT is used for time-discretization and the CSCM is used for discretization of spatial derivatives. The LT is used to transform the time variable and avoid the finite difference time stepping method. In time stepping technique the accuracy is achieved for very small time step which results in a very high computational time. The spatial operators are discretized using CSCM to achieve high accuracy as compared to other methods. The method is composed of three primary stages: firstly the given problem is transformed into a corresponding inhomogeneous elliptic problem by using the LT; secondly the CSCM used to solve the transformed problem in LT domain; finally the solution obtained in LT domain is converted to time domain via numerical inverse LT. The inversion of LT is generally an ill-posed problem and due to this reason various numerical inversion methods have been developed. In this article we have utilized the contour integration method which is one of the most efficient methods. The most important feature of this approach is that it handles the time derivative with the Laplace transform rather than the finite difference time stepping approach, avoiding the untoward impact of time steps on stability and accuracy of the method. Five test problems are used to validate the efficiency and accuracy of the proposed numerical scheme.

Details

Language :
English
ISSN :
25900374
Volume :
21
Issue :
100420-
Database :
Directory of Open Access Journals
Journal :
Results in Applied Mathematics
Publication Type :
Academic Journal
Accession number :
edsdoj.5786db71449f497195789063ea24ee03
Document Type :
article
Full Text :
https://doi.org/10.1016/j.rinam.2023.100420