C. Engström
Efficient and reliable hp-FEM estimates for quadratic eigenvalue problems and photonic crystal applications
Engström, C.; Giani, S.; Grubišić, L.
Abstract
We present a-posteriori analysis of higher order finite element approximations (hp-FEM) for quadratic Fredholm-valued operator functions. Residual estimates for approximations of the algebraic eigenspaces are derived and we reduce the analysis of the estimator to the analysis of an associated boundary value problem. For the reasons of robustness we also consider approximations of the associated invariant pairs. We show that our estimator inherits the efficiency and reliability properties of the underlying boundary value estimator. As a model problem we consider spectral problems arising in analysis of photonic crystals. In particular, we present an example where a targeted family of eigenvalues cannot be guaranteed to be semisimple. Numerical experiments with hp-FEM show the predicted convergence rates. The measured effectivities of the estimator compare favorably with the performance of the same estimator on the associated boundary value problem. We also present a benchmark estimator, based on the dual weighted residual (DWR) approach, which is more expensive to compute but whose measured effectivities are close to one.
Citation
Engström, C., Giani, S., & Grubišić, L. (2016). Efficient and reliable hp-FEM estimates for quadratic eigenvalue problems and photonic crystal applications. Computers and Mathematics with Applications, 72(4), 952-973. https://doi.org/10.1016/j.camwa.2016.06.001
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 3, 2016 |
Online Publication Date | Jun 22, 2016 |
Publication Date | Aug 1, 2016 |
Deposit Date | Jun 13, 2016 |
Publicly Available Date | Mar 29, 2024 |
Journal | Computers and Mathematics with Applications |
Print ISSN | 0898-1221 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 72 |
Issue | 4 |
Pages | 952-973 |
DOI | https://doi.org/10.1016/j.camwa.2016.06.001 |
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Copyright Statement
© 2016 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
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