归一化无穷拉普拉斯算子的双尺度方法:收敛速率

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED IMA Journal of Numerical Analysis Pub Date : 2023-11-11 DOI:10.1093/imanum/drad074
Wenbo Li, Abner J Salgado
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引用次数: 0

摘要

对于归一化无穷拉普拉斯算子,我们提出了Dirichlet问题近似的单调一致的数值格式,这可能与所谓的双尺度方法族有关。我们证明了这种方法是收敛的,并证明了收敛速度。这些速率不仅取决于解的规律性,还取决于右边是否消失。该方法的一些扩展,如障碍问题和对称Finsler规范,也被考虑。
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Two-scale methods for the normalized infinity Laplacian: rates of convergence
We propose a monotone and consistent numerical scheme for the approximation of the Dirichlet problem for the normalized infinity Laplacian, which could be related to the family of the so-called two-scale methods. We show that this method is convergent and prove rates of convergence. These rates depend not only on the regularity of the solution, but also on whether or not the right-hand side vanishes. Some extensions to this approach, like obstacle problems and symmetric Finsler norms, are also considered.
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来源期刊
IMA Journal of Numerical Analysis
IMA Journal of Numerical Analysis 数学-应用数学
CiteScore
5.30
自引率
4.80%
发文量
79
审稿时长
6-12 weeks
期刊介绍: The IMA Journal of Numerical Analysis (IMAJNA) publishes original contributions to all fields of numerical analysis; articles will be accepted which treat the theory, development or use of practical algorithms and interactions between these aspects. Occasional survey articles are also published.
期刊最新文献
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