Title
Guaranteed and robust a posteriori bounds for Laplace eigenvalues and eigenvectors: a unified framework.
Abstract
This paper develops a general framework for a posteriori error estimates in numerical approximations of the Laplace eigenvalue problem, applicable to all standard numerical methods. Guaranteed and computable upper and lower bounds on an arbitrary simple eigenvalue are given, as well as on the energy error in the approximation of the associated eigenvector. The bounds are valid under the sole condition that the approximate i-th eigenvalue lies between the exact \((i-1)\)-th and \((i+1)\)-th eigenvalue, where the relative gaps are sufficiently large. We give a practical way how to check this; the accuracy of the resulting estimates depends on these relative gaps. Our bounds feature no unknown (solution-, regularity-, or polynomial-degree-dependent) constant, are optimally convergent (efficient), and polynomial-degree robust. Under a further explicit, a posteriori, minimal resolution condition, the multiplicative constant in our estimates can be reduced by a fixed factor; moreover, when an elliptic regularity assumption on the corresponding source problem is satisfied with known constants, this multiplicative constant can be brought to the optimal value of 1 with mesh refinement. Applications of our framework to nonconforming, discontinuous Galerkin, and mixed finite element approximations of arbitrary polynomial degree are provided, along with numerical illustrations. Our key ingredients are equivalences between the i-th eigenvalue error, the associated eigenvector energy error, and the dual norm of the residual. We extend them in an appendix to the generic class of bounded-below self-adjoint operators with compact resolvent.
Year
DOI
Venue
2018
10.1007/s00211-018-0984-0
Numerische Mathematik
Keywords
Field
DocType
35P15, 65N15, 65N25, 65N30, 65N50
Discontinuous Galerkin method,Mathematical optimization,Mathematical analysis,Upper and lower bounds,Resolvent,Degree of a polynomial,Eigenvalues and eigenvectors,Mathematics,Mixed finite element method,Dual norm,Inverse iteration
Journal
Volume
Issue
ISSN
140
4
0029-599X
Citations 
PageRank 
References 
1
0.36
22
Authors
5
Name
Order
Citations
PageRank
Eric Cancès14310.31
Geneviève Dusson210.36
Yvon Maday317531.69
B. Stamm45610.12
Martin Vohralík5425.89