首页> 外文OA文献 >On Operator Splitting for the Viscous Burgers' and the Korteweg-de Vries Equations
【2h】

On Operator Splitting for the Viscous Burgers' and the Korteweg-de Vries Equations

机译:关于粘性Burgers和Korteweg-de Vries方程的算子分裂

摘要

We discuss numerical quadratures in one and two dimensions, which is followed by a discussion regarding the differentiation of general operators in Banach spaces. In addition, we discuss the standard and fractional Sobolev spaces, and prove several properties for these spaces.We show that the operator splitting methods of the Godunov type and Strang type applied to the viscous Burgers equation, and the Korteweg-de Vries (KdV) equation (and other equations), have the correct convergence in the Sobolev spaces. In the proofs we use the new framework originally introduced in [11].We investigate the Godunov method and Strang method numerically for the viscous Burgers equation and the KdV equation, and present different numerical methods for the subequations from the splitting. We numerically check the convergence rates for the split step size, in addition with other aspects for the numerical methods. We find that the operator splitting methods work well numerically for the two equations. For the viscous Burgers equation, we find that several combination of numerical solvers for the subequations work well on the test problems, while we for the KdV equation find only one combination of numerical solvers which works well on all test problems.
机译:我们将在一维和二维中讨论数值积分,然后讨论Banach空间中一般算子的微分。此外,我们讨论了标准和分数Sobolev空间,并证明了这些空间的几个性质。我们证明了Godunov类型和Strang类型的算子分裂方法适用于粘性Burgers方程以及Korteweg-de Vries(KdV)方程(和其他方程)在Sobolev空间中具有正确的收敛性。在证明中,我们使用最初在[11]中引入的新框架。我们对粘性Burgers方程和KdV方程进行了数值研究Godunov方法和Strang方法,并给出了分解中不同子方程的数值方法。除了数值方法的其他方面之外,我们还通过数字检查分割步长的收敛速度。我们发现,算子拆分方法对于两个方程在数值上效果很好。对于粘性Burgers方程,我们发现子方程的数值求解器的几种组合可以很好地解决测试问题,而对于KdV方程,我们只能找到一种数值求解器的组合可以很好地解决所有测试问题。

著录项

  • 作者

    Nilsen Espen Birger;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号