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A Survey of Trefftz Methods for the Helmholtz Equation
by R. Hiptmair and A. Moiola and I. Perugia
(Report number 2015-20)
Abstract
Trefftz methods are finite element-type schemes whose test and trial
functions are (locally) solutions of the targeted
differential equation. They are particularly popular for time-harmonic wave
problems, as their trial spaces contain oscillating basis functions and
may achieve better approximation properties than classical
piecewise-polynomial spaces.
We review the construction and properties of several Trefftz variational
formulations developed for the Helmholtz equation, including least squares,
discontinuous Galerkin, ultra weak variational formulation, variational theory
of complex rays and wave based methods. The most common discrete Trefftz
spaces used for this equation employ generalised harmonic polynomials
(circular and spherical waves), plane and evanescent waves, fundamental
solutions and multipoles as basis functions; we describe theoretical and
computational aspects of these spaces, focusing in particular on their
approximation properties.
One of the most promising, but
not yet well developed, features of Trefftz methods is the use of adaptivity
in the choice of the propagation directions for the basis functions. The main
difficulties encountered in the implementation are the assembly and the
ill-conditioning of linear systems, we briefly survey some strategies that
have been proposed to cope with these problems.
Keywords: Trefftz methods; discontinuous Galerkin methods (DG); plane waves; variational theory of complex rays (VTCS); wave based methods (WBM); Vekua theory; ultra-weak variational formulation (UWVF); directional adaptivity
BibTeX@Techreport{HMP15_610, author = {R. Hiptmair and A. Moiola and I. Perugia}, title = {A Survey of Trefftz Methods for the Helmholtz Equation}, institution = {Seminar for Applied Mathematics, ETH Z{\"u}rich}, number = {2015-20}, address = {Switzerland}, url = {https://www.sam.math.ethz.ch/sam_reports/reports_final/reports2015/2015-20.pdf }, year = {2015} }
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