Journal of Computational and Applied Mathematics2022,Vol.40026.DOI:10.1016/j.cam.2021.113711

Stability analysis of inverse Lax-Wendroff boundary treatment of high order compact difference schemes for parabolic equations

Li, Tingting Lu, Jianfang Shu, Chi-Wang
Journal of Computational and Applied Mathematics2022,Vol.40026.DOI:10.1016/j.cam.2021.113711

Stability analysis of inverse Lax-Wendroff boundary treatment of high order compact difference schemes for parabolic equations

Li, Tingting 1Lu, Jianfang 2Shu, Chi-Wang3
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作者信息

  • 1. Henan Univ
  • 2. South China Univ Technol
  • 3. Brown Univ
  • 折叠

Abstract

In this paper, we study the stability of a numerical boundary treatment of high order compact finite difference methods for parabolic equations. The compact finite difference schemes could achieve very high order accuracy with relatively small stencils. To match the convergence order of the compact schemes in the interior domain, we take the simplified inverse Lax-Wendroff (SILW) procedure (Tan et al., 2012; Li et al., 2017) as our numerical boundary treatment. The third order total variation diminishing (TVD) Runge-Kutta method (Shu and Osher, 1988) is taken as our time-stepping method in the fully-discrete case. Two analysis techniques are adopted to check the algorithm's stability, one is based on the Godunov-Ryabenkii theory, and the other is the eigenvalue spectrum visualization method (Vilar and Shu, 2015). Both the semi-discrete and fully-discrete cases are investigated, and these two different analysis techniques yield consistent results. Several numerical experimental results are shown to validate the theoretical results. (C) 2021 Elsevier B.V. All rights reserved.

Key words

High order compact difference schemes/Parabolic equation/Simplified inverse Lax-Wendroff procedure/Godunov-Ryabenkii theory/Eigenvalue analysis/EFFICIENT IMPLEMENTATION/APPROXIMATIONS

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量7
参考文献量26
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