TY - JOUR
T1 - Asymptotically Exact A Posteriori Error Analysis for the Mixed Laplace Eigenvalue Problem
AU - Bertrand, Fleurianne
AU - Boffi, Daniele
AU - Stenberg, Rolf
N1 - Generated from Scopus record by KAUST IRTS on 2020-05-05
PY - 2020/4/1
Y1 - 2020/4/1
N2 - This paper derives a posteriori error estimates for the mixed numerical approximation of the Laplace eigenvalue problem. We discuss a reconstruction in the standard H 0 1 -conforming space for the primal variable of the mixed Laplace eigenvalue problem and compare it with analogous approaches present in the literature for the corresponding source problem. In the case of Raviart-Thomas finite elements of arbitrary polynomial degree, the resulting error estimator constitutes a guaranteed upper bound for the error and is shown to be local efficient. Our reconstruction is performed locally on a set of vertex patches.
AB - This paper derives a posteriori error estimates for the mixed numerical approximation of the Laplace eigenvalue problem. We discuss a reconstruction in the standard H 0 1 -conforming space for the primal variable of the mixed Laplace eigenvalue problem and compare it with analogous approaches present in the literature for the corresponding source problem. In the case of Raviart-Thomas finite elements of arbitrary polynomial degree, the resulting error estimator constitutes a guaranteed upper bound for the error and is shown to be local efficient. Our reconstruction is performed locally on a set of vertex patches.
UR - http://www.degruyter.com/view/j/cmam.ahead-of-print/cmam-2019-0099/cmam-2019-0099.xml
UR - http://www.scopus.com/inward/record.url?scp=85071149024&partnerID=8YFLogxK
U2 - 10.1515/cmam-2019-0099
DO - 10.1515/cmam-2019-0099
M3 - Article
SN - 1609-9389
VL - 20
SP - 215
EP - 225
JO - Computational Methods in Applied Mathematics
JF - Computational Methods in Applied Mathematics
IS - 2
ER -