Wavenumber Explicit Analysis for a DPG Method for the Multidimensional Helmholtz Equation

Abstract

We study the properties of a novel discontinuous Petrov Galerkin (DPG) method for acoustic wave propagation. The method yields Hermitian positive definite matrices and has good pre-asymptotic stability properties. Numerically, we find that the method exhibits negligible phase errors (otherwise known as pollution errors) even in the lowest order case. Theoretically, we are able to prove error estimates that explicitly show the dependencies with respect to the wavenumber omega, the mesh size h, and the polynomial degree rho. But the current state of the theory does not fully explain the remarkably good numerical phase errors. Theoretically, comparisons are made with several other recent works that gave wave number explicit estimates. Numerically, comparisons are made with the standard finite element method and its recent modification for wave propagation with clever quadratures. The new DPG method is designed following the previously established principles of optimal test functions. In addition to the nonstandard test functions, in this work, we also use a nonstandard wave number dependent norm on both the test and trial space to obtain our error estimates.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2011
Accession Number
ADA555342

Entities

People

  • I. Muga
  • J. Gopalakrishnan
  • J. Zitelli
  • L. Demkowicz

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Acoustic Properties
  • Boundaries
  • Boundary Value Problems
  • Computational Fluid Dynamics
  • Computational Science
  • Equations
  • Finite Element Analysis
  • Galerkin Method
  • Helmholtz Equations
  • Notation
  • Plane Waves
  • Polynomials
  • Standards
  • Wave Phenomena
  • Wave Propagation
  • Waveguides
  • Waves

Fields of Study

  • Mathematics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Regression Analysis.

Technology Areas

  • Space