Chandler-Wilde, S. N.
ORCID: https://orcid.org/0000-0003-0578-1283, Spence, E. A., Gibbs, A. and Smyshlyaev, V. P.
(2020)
High-frequency bounds for the Helmholtz equation under parabolic trapping and applications in numerical analysis.
SIAM Journal on Mathematical Analysis (SIMA), 52 (1).
pp. 845-893.
ISSN 0036-1410
doi: 10.1137/18M1234916
Abstract/Summary
This paper is concerned with resolvent estimates on the real axis for the Helmholtz equation posed in the exterior of a bounded obstacle with Dirichlet boundary conditions when the obstacle is \emph{trapping}. There are two resolvent estimates for this situation currently in the literature: (i) in the case of {\em elliptic trapping} the general ``worst case'' bound of exponential growth applies, and examples show that this growth can be realised through some sequence of wavenumbers; (ii) in the prototypical case of {\em hyperbolic trapping} where the Helmholtz equation is posed in the exterior of two strictly convex obstacles (or several obstacles with additional constraints) the nontrapping resolvent estimate holds with a logarithmic loss. This paper proves the first resolvent estimate for {\em parabolic trapping} by obstacles, studying a class of obstacles the prototypical example of which is the exterior of two squares (in 2-d), or two cubes (in 3-d), whose sides are parallel. We show, via developments of the vector-field/multiplier argument of Morawetz and the first application of this methodology to trapping configurations, that a resolvent estimate holds with a polynomial loss over the nontrapping estimate. We use this bound, along with the other trapping resolvent estimates, to prove results about integral-equation formulations of the boundary value problem in the case of trapping. Feeding these bounds into existing frameworks for analysing finite and boundary element methods, we obtain the first wavenumber-explicit proofs of convergence for numerical methods for solving the Helmholtz equation in the exterior of a trapping obstacle.
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| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/81567 |
| Identification Number/DOI | 10.1137/18M1234916 |
| Refereed | Yes |
| Divisions | Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics |
| Publisher | Society for Industrial and Applied Mathematics |
| Download/View statistics | View download statistics for this item |
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