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Benchmark Results for Testing Adaptive Finite Element Eigenvalue Procedures II (Cluster Robust Eigenvector and Eigenvalue Estimates)

机译:测试自适应有限元特征值程序的基准测试结果II(聚类鲁棒特征向量和特征值估计)

摘要

As a model benchmark problem for this study we consider a highly singular transmission type eigenvalue problem which we study in detail both analytically as well as numerically. In order to justify our claim of cluster robust and highly accurate approximation of a selected groups of eigenvalues and associated eigenfunctions, we give a new analysis of a class of direct residual eigenspace/vector approximation estimates. Unlike in the first part of the paper, we now use conforming higher order finite elements, since the canonical choice of an appropriate norm to measure eigenvector approximation by discontinuous Galerkin methods is an open problem.
机译:作为本研究的模型基准问题,我们考虑了高度奇异的传输类型特征值问题,我们在分析和数值上都对其进行了详细研究。为了证明我们对选定的一组特征值和相关特征函数的簇的鲁棒性和高度精确逼近的主张,我们对一类直接残留特征空间/矢量逼近估计进行了新的分析。与本文的第一部分不同,我们现在使用一致的高阶有限元,因为通过不连续的Galerkin方法规范选择合适的范数来测量特征向量近似值是一个开放的问题。

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