AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (320.9 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Error estimate of L1-ADI scheme for two-dimensional multi-term time fractional diffusion equation

Kexin LiHu Chen( )Shusen Xie
School of Mathematical Sciences, Ocean University of China, Qingdao 266100, China
Show Author Information

Abstract

A two-dimensional multi-term time fractional diffusion equation D t α u ( x , y , t ) Δ u ( x , y , t ) = f ( x , y , t ) is considered in this paper, where D t α is the multi-term time Caputo fractional derivative. To solve the equation numerically, L1 discretisation to each fractional derivative is used on a graded temporal mesh, together with a standard finite difference method for the spatial derivatives on a uniform spatial mesh. We provide a rigorous stability and convergence analysis of a fully discrete L1-ADI scheme for solving the multi-term time fractional diffusion problem. Numerical results show that the error estimate is sharp.

References

【1】
【1】
 
 
Networks and Heterogeneous Media
Pages 1454-1470

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Li K, Chen H, Xie S. Error estimate of L1-ADI scheme for two-dimensional multi-term time fractional diffusion equation. Networks and Heterogeneous Media, 2023, 18(4): 1454-1470. https://doi.org/10.3934/nhm.2023064

234

Views

1

Downloads

12

Crossref

12

Web of Science

12

Scopus

Received: 16 March 2023
Revised: 09 June 2023
Accepted: 15 June 2023
Published: 15 December 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)