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 (302.9 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

Numerical approximation of fourth-order fractional diffusion-wave systems using finite difference and discontinuous Galerkin method

Chuan Ran1Xiaoyan Xu2Changshun Hou2Xindong Zhang1( )
College of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China
School of Mathematics and Statistics, Henan University of Technology, Zhengzhou 450001, China
Show Author Information

Abstract

This study develops a finite difference/local discontinuous Galerkin (LDG) framework for solving a fourth-order fractional diffusion-wave equation. The temporal fractional operator is approximated through a finite difference approach, achieving a truncation accuracy of O ( ( Δ t ) 3 α ), where Δ t denotes the time increment and α represents the fractional order. For spatial discretization, LDG technique is employed, which leads to a fully implicit discrete formulation of the considered model. By applying mathematical induction, we establish the unconditional stability and convergence of the proposed algorithm. A series of computational experiments is presented to verify the theoretical error bounds.

CLC number: 65M12; 65M06; 35S10

References

【1】
【1】
 
 
Networks and Heterogeneous Media
Pages 1346-1366

{{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:
Ran C, Xu X, Hou C, et al. Numerical approximation of fourth-order fractional diffusion-wave systems using finite difference and discontinuous Galerkin method. Networks and Heterogeneous Media, 2025, 20(4): 1346-1366. https://doi.org/10.3934/nhm.2025058

62

Views

1

Downloads

6

Crossref

5

Web of Science

4

Scopus

Received: 08 September 2025
Revised: 27 November 2025
Accepted: 04 December 2025
Published: 15 October 2025
©2025 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)