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首页> 外文期刊>IMA Journal of Numerical Analysis >Neumann-Dirichlet maps and analysis of spectral pollution for non-self-adjoint elliptic PDEs with real essential spectrum
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Neumann-Dirichlet maps and analysis of spectral pollution for non-self-adjoint elliptic PDEs with real essential spectrum

机译:具有真实基本光谱的非自伴椭圆形PDE的Neumann-Dirichlet映射和光谱污染分析

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摘要

We prove that one of the most commonly used techniques for approximating the spectra of certain classes of non-self-adjoint elliptic partial differential equations on exterior domains does not suffer from spectral pollution except possibly in the spectral gaps. This generalizes a well-known result from the self-adjoint case. We also show how the method can be used in conjunction with some simple tricks to avoid spectral pollution for the self-adjoint case. Our proofs are based on a new approach to the nesting set analysis for Neumann to Dirichlet maps first proposed by Amrein and Pearson in 2004, with enhanced convergence results obtained from an elliptic regularity bootstrapping procedure. The numerical results in Section 6 illustrate a technique for finding eigenvalues in spectral gaps of self-adjoint operators by means of a compactly supported complex shift. This method seems to be of independent interest and can be understood without reading the rest of the paper.
机译:我们证明,一种最常用的逼近外部域上某些类别的非自伴椭圆偏微分方程的光谱的技术不会遭受光谱污染,除非可能存在光谱间隙。这概括了自伴事件的一个众所周知的结果。我们还将展示该方法如何与一些简单技巧结合使用,以避免自伴情况下的光谱污染。我们的证明基于2004年由Amrein和Pearson首次提出的Neumann到Dirichlet映射的嵌套集分析的新方法,并通过椭圆规则自举程序获得了增强的收敛结果。第6节中的数值结果说明了一种通过紧密支持的复移位来查找自伴算子的谱隙中特征值的技术。该方法似乎具有独立的意义,无需阅读本文的其余部分即可理解。

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