2018
DOI: 10.1137/17m1162032
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Arnold--Winther Mixed Finite Elements for Stokes Eigenvalue Problems

Abstract: This paper is devoted to study the Arnold-Winther mixed finite element method for two dimensional Stokes eigenvalue problems using the stress-velocity formulation. A priori error estimates for the eigenvalue and eigenfunction errors are presented. To improve the approximation for both eigenvalues and eigenfunctions, we propose a local post-processing. With the help of the local post-processing, we derive a reliable a posteriori error estimator which is shown to be empirically efficient. We confirm numerically … Show more

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Cited by 28 publications
(32 citation statements)
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“…Proof. From the continuous inf-sup condition (12) we deduce that there exists a w ∈ H 1 0 (Ω) such that…”
Section: Additional Stability Propertymentioning
confidence: 99%
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“…Proof. From the continuous inf-sup condition (12) we deduce that there exists a w ∈ H 1 0 (Ω) such that…”
Section: Additional Stability Propertymentioning
confidence: 99%
“…In [18], Huang presents a posteriori lower and upper eigenvalue bounds for the Stokes eigenvalue problem for two stabilized finite element methods based on the lowest equal-order finite element pair. Recently, we have developed an a posteriori error analysis for the Arnold-Winther mixed finite element method of the Stokes eigenvalue problem in [12] using the stress-velocity formulation.…”
Section: Introductionmentioning
confidence: 99%
“…It is then quite natural to compare the obtained results with the discussion in [3] and [2]. The a posteriori estimator of [12] is based on the first step only: a local postprocessing procedure in the spirit of [14]. Moreover, it provides in a natural way a postprocessed solution for the eigenvalues which converges faster than the original one.…”
Section: Introductionmentioning
confidence: 98%
“…The finite element discretization is based on the Arnold-Winther (AW) space for the approximation of the stresses which can be seen as a generalization of the BDM space. For this reason, the results of [12] prove very useful in this context. More precisely, the results translate almost verbatim to the approximation of the mixed Laplacian based on BDM finite elements.…”
Section: Introductionmentioning
confidence: 98%
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