The Complex-Scaled Half-Space Matching Method

Anne-Sophie Bonnet-BenDhia, Simon Chandler-Wilde, Sonia Fliss,
Christophe Hazard, Karl-Michael Perfekt and Yohanes Tjandrawidjaja
january, 2022
Type de publication :
Article (revues avec comité de lecture)
Journal :
SIAM Mathematical Analysis, vol. 54, pp. 512-557
Résumé :
The Half-Space Matching (HSM) method has recently been developed as a new method for the solution of 2D scattering problems with complex backgrounds, providing an alternative to Perfectly Matched Layers (PML) or other artificial boundary conditions. Based on half-plane representations for the solution, the scattering problem is rewritten as a system of integral equations in which the unknowns are restrictions of the solution to the boundaries of a finite number of overlapping half-planes contained in the domain: this integral equation system is coupled to a standard finite element discretisation localised around the scatterer. While satisfactory numerical results have been obtained for real wavenumbers, wellposedness and equivalence to the original scattering problem have been established only for complex wavenumbers. In the present paper, by combining the HSM framework with a complex-scaling technique, we provide a new formulation for real wavenumbers which is provably well-posed and has the attraction for computation that the complex-scaled solutions of the integral equation system decay exponentially at infinity. The analysis requires the study of double-layer potential integral operators on intersecting infinite lines, and their analytic continuations. The effectiveness of the method is validated by preliminary numerical results.
BibTeX :
@article{Bon-Cha-Fli-Haz-Per-Tja-2022,
    author={Anne-Sophie Bonnet-BenDhia and Simon Chandler-Wilde and Sonia 
           Fliss and Christophe Hazard and Karl-Michael Perfekt and 
           Yohanes Tjandrawidjaja },
    title={The Complex-Scaled Half-Space Matching Method },
    doi={10.1137/20M1387122 },
    journal={SIAM Mathematical Analysis },
    year={2022 },
    month={1},
    volume={54 },
    pages={512--557},
}