115
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Penalty method for the KdV equation

&
Pages 193-211 | Received 20 Feb 2011, Accepted 05 Apr 2011, Published online: 16 Jun 2011
 

Abstract

This article is the first part of a work in progress, related to the numerical simulation of hyperbolic equations with non-compatible data. The Korteweg–de Vries equations with non-homogeneous incompatible data are considered here. In this article we are able to prove the existence and uniqueness of solutions for the KdV equation despite the lack of regularity (compatibility) of the data. However, the lack of regularity is known to produce, for hyperbolic equations, large numerical errors which propagate within the whole domain. A method is proposed to replace the KdV equation with incompatible data by a system with compatible data using a penalty method. In this article we prove the existence and uniqueness of solutions of the exact and approximate problems and the convergence of the approximate solutions to the exact ones. The numerical simulations which justify the procedure will be presented elsewhere [N. Flyer, Z. Qin, and R. Temam, Numerical simulations of the penalty method for the KdV and Schrodinger equations, in preparation].

AMS Subject Classifications::

Acknowledgements

This work was partially supported by the National Science Foundation under the grants NSF-DMS-0906440 and by the Research Fund of Indiana University.

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 1,361.00 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.