Sponsor
This work was partly supported by the NSF under grants DMS-1211635 and DMS-1014817
Published In
Mathematics of Computation
Document Type
Post-Print
Publication Date
4-2014
Subjects
Polynomials, Mathematical statistics, Instrumental variables (Statistics)
Abstract
We give a complete error analysis of the Discontinuous Petrov Galerkin (DPG) method, accounting for all the approximations made in its practical implementation. Specifically, we consider the DPG method that uses a trial space consisting of polynomials of degree p on each mesh element. Earlier works showed that there is a "trial-to-test" operator T, which when applied to the trial space, defines a test space that guarantees stability. In DPG formulations, this operator T is local: it can be applied element-by-element. However, an infinite dimensional problem on each mesh element needed to be solved to apply T. In practical computations, T is approximated using polynomials of some degree r > p on each mesh element. We show that this approximation maintains optimal convergence rates, provided that r p + N, where N is the space dimension (two or more), for the Laplace equation. We also prove a similar result for the DPG method for linear elasticity. Remarks on the conditioning of the stiffness matrix in DPG methods are also included.
Rights
© Copyright 2014, American Mathematical Society
Locate the Document
DOI
10.1090/S0025-5718-2013-02721-4
Persistent Identifier
http://archives.pdx.edu/ds/psu/10590
Citation Details
Published as: Gopalakrishnan, J., & Qiu, W. (2014). An analysis of the practical DPG method. Mathematics of Computation, 83(286), 537-552.
Description
This is the author’s version of a work that was accepted for publication. First published in Mathematics of Computation in Vol 83, No 286, published by the American Mathematical Society.