EconPapers    
Economics at your fingertips  
 

The study of a continuous Galerkin method for Sobolev equation with space-time variable coefficients

Zhihui Zhao, Hong Li and Jing Wang

Applied Mathematics and Computation, 2021, vol. 401, issue C

Abstract: In this article, we will apply a space-time continuous Galerkin (CG) method to solve the numerical solution of Sobolev equation with space-time variable coefficients. Both the spatial and temporal variables of this method are discretized by finite element (FE) method, and hence it can easily attain the high order precision both in space and time directions as well as have the good stability. In addition, the variable spatial grid structures from one time span to the next and the time steps are permitted for this method, which are more suitable to design adaptive algorithm on unstructured mesh. We detailedly give the well-posed analysis of the numerical solution and the a priori error estimation in L∞(H1) norm without any restrictions on the space-time grid ratio. Finally, some numerical experiments are showed to conform the convergence orders and validate the high efficiency for the method investigated here.

Keywords: Continuous Galerkin method; Sobolev equation with space-time variable coefficients; A priori error estimation; Numerical experiments (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300321000692
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:apmaco:v:401:y:2021:i:c:s0096300321000692

DOI: 10.1016/j.amc.2021.126021

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:401:y:2021:i:c:s0096300321000692