Paper Info
Title
Spectral approximation of elliptic operators by the Hybrid High-Order method
Abstract
We study the approximation of the spectrum of a second-order elliptic differential operator by the Hybrid High-Order (HHO) method. The HHO method is formulated using cell and face unknowns which are polynomials of some degree k >= 0. The key idea for the discrete eigenvalue problem is to introduce a discrete operator where the face unknowns have been eliminated. Using the abstract theory of spectral approximation of compact operators in Hilbert spaces, we prove that the eigenvalues converge as h(2t) and the eigenfunctions as h(t) in the H-1-seminorm, where h is the mesh-size, t is an element of [s, k +1]depends on the smoothness of the eigenfunctions, and s > 1/2 results from the elliptic regularity theory. The convergence rates for smooth eigenfunctions are thus h(2k+2) for the eigenvalues and h(k+1) for the eigenfunctions. Our theoretical findings, which improve recent error estimates for Hybridizable Discontinuous Galerkin (HDG) methods, are verified on various numerical examples including smooth and non-smooth eigenfunctions. Moreover, we observe numerically in one dimension for smooth eigenfunctions that the eigenvalues superconverge as h(2k+4) for a specific value of the stabilization parameter.
Year
DOI
Venue
2019
10.1090/mcom/3405
MATHEMATICS OF COMPUTATION
Keywords
Field
DocType
Hybrid high-order methods,eigenvalue approximation,eigenfunction approximation,spectrum analysis,error analysis
Discontinuous Galerkin method,Hilbert space,Mathematical optimization,Eigenfunction,Mathematical analysis,Elliptic operator,Compact operator,Differential operator,Operator (computer programming),Mathematics,Eigenvalues and eigenvectors
Journal
Volume
Issue
ISSN
88
318
0025-5718
Citations 
PageRank 
References 
1
0.38
14
Authors
4
Name
Order
Citations
PageRank
Victor M. Calo119138.14
Matteo Cicuttin210.72
Quanling Deng322.11
Alexandre Ern433941.65