Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Pointwise error estimate in difference setting for the two-dimensional nonlinear fractional complex Ginzburg-Landau equation
 
Loading...
Thumbnail Image
research article

Pointwise error estimate in difference setting for the two-dimensional nonlinear fractional complex Ginzburg-Landau equation

Zhang, Qifeng
•
Hesthaven, Jan S.  
•
Sun, Zhi-zhong
Show more
June 1, 2021
Advances In Computational Mathematics

In this paper, we propose a three-level linearized implicit difference scheme for the two-dimensional spatial fractional nonlinear complex Ginzburg-Landau equation. We prove that the difference scheme is stable and convergent under mild conditions. The optimal convergence order O(tau(2) + h(x)(2) + h(y)(2)) is obtained in the pointwise sense by developing a new two-dimensional fractional Sobolev imbedding inequality based on the work in Kirkpatrick et al. (Commun. Math. Phys. 317, 563-591 2013), an energy argument and careful attention to the nonlinear term. Numerical examples are presented to verify the validity of the theoretical results for different choices of the fractional orders alpha and beta.

  • Files
  • Details
  • Metrics
Type
research article
DOI
10.1007/s10444-021-09862-x
Web of Science ID

WOS:000641805100001

Author(s)
Zhang, Qifeng
•
Hesthaven, Jan S.  
•
Sun, Zhi-zhong
•
Ren, Yunzhu
Date Issued

2021-06-01

Publisher

SPRINGER

Published in
Advances In Computational Mathematics
Volume

47

Issue

3

Start page

35

Subjects

Mathematics, Applied

•

Mathematics

•

fractional ginzburg-landau equation

•

difference scheme

•

pointwise error estimate

•

stability

•

convergence

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
MCSS  
Available on Infoscience
May 22, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/178253
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés