114
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Superconvergence analysis for a nonlinear parabolic equation with a BDF finite element method

&
Pages 2487-2506 | Received 25 Nov 2018, Accepted 10 Dec 2019, Published online: 05 Jan 2020
 

ABSTRACT

Superconvergence analysis for a nonlinear parabolic equation is studied with a linearized 2-step backward differential formula (BDF) Galerkin finite element method (FEM). The error between the exact solution and the numerical solution is split into two parts by a time-discrete system. The temporal error estimates in H1-norm with order O(τ2) and in H2-norm with order O(τ3/2) are derived, respectively. The spatial error estimates are deduced unconditionally and the results help to bound the numerical solution in L-norm. By some new way, the unconditional superclose property of un in H1-norm with order O(h2+τ2) is obtained. Two numerical examples show the validity of the theoretical analysis. Here, h is the subdivision parameter, and τ, time step size.

2010 Mathematics Subject Classifications:

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (No. 11671369), the Key Scientific Research Project of Colleges and Universities in Henan Province (No. 20A110030), the Doctoral Starting Foundation of Pingdingshan University (No. PXY-BSQD-2019001) and the University Cultivation Foundation of Pingdingshan (No. PXY-PYJJ-2019006).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,129.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.