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  4. Transparent boundary conditions based on the Pole Condition for time-dependent, two-dimensional problems
 
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Transparent boundary conditions based on the Pole Condition for time-dependent, two-dimensional problems

Publikationstyp
Journal Article
Date Issued
2013-07
Sprache
English
Author(s)
Ruprecht, Daniel  orcid-logo
Schädle, Achim  
Schmidt, Frank  
TORE-URI
http://hdl.handle.net/11420/10528
Journal
Numerical methods for partial differential equations  
Volume
29
Issue
4
Start Page
1367
End Page
1390
Citation
Numerical Methods for Partial Differential Equations 29 (4): 1367-1390 (2013-07)
Publisher DOI
10.1002/num.21759
Scopus ID
2-s2.0-84876736683
ArXiv ID
1204.3807v1
Peer Reviewed
true
The pole condition approach for deriving transparent boundary conditions is extended to the time-dependent, two-dimensional case. Non-physical modes of the solution are identified by the position of poles of the solution's spatial Laplace transform in the complex plane. By requiring the Laplace transform to be analytic on some problem dependent complex half-plane, these modes can be suppressed. The resulting algorithm computes a finite number of coefficients of a series expansion of the Laplace transform, thereby providing an approximation to the exact boundary condition. The resulting error decays super-algebraically with the number of coefficients, so relatively few additional degrees of freedom are sufficient to reduce the error to the level of the discretization error in the interior of the computational domain. The approach shows good results for the Schrödinger and the drift-diffusion equation but, in contrast to the one-dimensional case, exhibits instabilities for the wave and Klein-Gordon equation. Numerical examples are shown that demonstrate the good performance in the former and the instabilities in the latter case.
Subjects
drift diffusion equation
Klein Gordon equation
nonreflecting boundary condition
pole condition
Schrödinger equation
transparent boundary condition
wave equation
Mathematics - Numerical Analysis
Mathematics - Numerical Analysis
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