EconPapers    
Economics at your fingertips  
 

An easy to implement linearized numerical scheme for fractional reaction–diffusion equations with a prehistorical nonlinear source function

A.K. Omran, M.A. Zaky, A.S. Hendy and V.G. Pimenov

Mathematics and Computers in Simulation (MATCOM), 2022, vol. 200, issue C, 218-239

Abstract: In this paper, we construct and analyze a linearized finite difference/Galerkin–Legendre spectral scheme for the nonlinear Riesz-space and Caputo-time fractional reaction–diffusion equation with prehistory. The problem is first approximated by the L1 difference method in the temporal direction, and then the Galerkin–Legendre spectral method is applied for the spatial discretization. The key advantage of the proposed method is that the implementation of the iterative approach is linear. The stability and the convergence of the semi-discrete approximation are proved by invoking the discrete fractional Halanay inequality. The stability and convergence of the fully discrete scheme are also investigated utilizing discrete fractional Grönwall inequalities, which show that the proposed method is stable and convergent. Furthermore, to verify the efficiency of our method, we provide numerical results that show a satisfactory agreement with the theoretical analysis.

Keywords: Fractional reaction–diffusion; Prehistory; L1 difference scheme; Galerkin–Legendre spectral method; Fractional Halanay inequalities; Discrete fractional Grönwall inequalities (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475422001562
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:200:y:2022:i:c:p:218-239

DOI: 10.1016/j.matcom.2022.04.014

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:matcom:v:200:y:2022:i:c:p:218-239