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Volume 35, Issue 3
Local Structure-Preserving Algorithms for the KdV Equation

Jialing Wang & Yushun Wang

DOI: 10.4208/jcm.1605-m2015-0343

J. Comp. Math., 35 (2017), pp. 289-318.

Published online: 2017-06

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  • Abstract

In this paper, based on the concatenating method, we present a unified framework to construct a series of local structure-preserving algorithms for the Korteweg-de Vries (KdV) equation, including eight multi-symplectic algorithms, eight local energy-conserving algorithms and eight local momentum-conserving algorithms. Among these algorithms, some have been discussed and widely used while the most are new. The outstanding advantage of these proposed algorithms is that they conserve the local structures in any time-space region exactly. Therefore, the local structure-preserving algorithms overcome the restriction of global structure-preserving algorithms on the boundary conditions. Numerical experiments are conducted to show the performance of the proposed methods. Moreover, the unified framework can be easily applied to many other equations.

  • Keywords

Korteweg-de Vries (KdV) equation, structure-preserving algorithms, concatenating method, multi-symplectic conservation law.

  • AMS Subject Headings

65L12, 65M06, 65M12.

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

wjl19900724@126.com (Jialing Wang)

wangyushun@njnu.edu.cn (Yushun Wang)

  • BibTex
  • RIS
  • TXT
@Article{JCM-35-289, author = {Wang , Jialing and Wang , Yushun}, title = {Local Structure-Preserving Algorithms for the KdV Equation}, journal = {Journal of Computational Mathematics}, year = {2017}, volume = {35}, number = {3}, pages = {289--318}, abstract = {

In this paper, based on the concatenating method, we present a unified framework to construct a series of local structure-preserving algorithms for the Korteweg-de Vries (KdV) equation, including eight multi-symplectic algorithms, eight local energy-conserving algorithms and eight local momentum-conserving algorithms. Among these algorithms, some have been discussed and widely used while the most are new. The outstanding advantage of these proposed algorithms is that they conserve the local structures in any time-space region exactly. Therefore, the local structure-preserving algorithms overcome the restriction of global structure-preserving algorithms on the boundary conditions. Numerical experiments are conducted to show the performance of the proposed methods. Moreover, the unified framework can be easily applied to many other equations.

}, issn = {1991-7139}, doi = {https://doi.org/10.4208/jcm.1605-m2015-0343}, url = {http://global-sci.org/intro/article_detail/jcm/9774.html} }
TY - JOUR T1 - Local Structure-Preserving Algorithms for the KdV Equation AU - Wang , Jialing AU - Wang , Yushun JO - Journal of Computational Mathematics VL - 3 SP - 289 EP - 318 PY - 2017 DA - 2017/06 SN - 35 DO - http://doi.org/10.4208/jcm.1605-m2015-0343 UR - https://global-sci.org/intro/article_detail/jcm/9774.html KW - Korteweg-de Vries (KdV) equation, structure-preserving algorithms, concatenating method, multi-symplectic conservation law. AB -

In this paper, based on the concatenating method, we present a unified framework to construct a series of local structure-preserving algorithms for the Korteweg-de Vries (KdV) equation, including eight multi-symplectic algorithms, eight local energy-conserving algorithms and eight local momentum-conserving algorithms. Among these algorithms, some have been discussed and widely used while the most are new. The outstanding advantage of these proposed algorithms is that they conserve the local structures in any time-space region exactly. Therefore, the local structure-preserving algorithms overcome the restriction of global structure-preserving algorithms on the boundary conditions. Numerical experiments are conducted to show the performance of the proposed methods. Moreover, the unified framework can be easily applied to many other equations.

Wang , Jialing and Wang , Yushun. (2017). Local Structure-Preserving Algorithms for the KdV Equation. Journal of Computational Mathematics. 35 (3). 289-318. doi:10.4208/jcm.1605-m2015-0343
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