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Electromagnetic Wave Scattering by Random Surfaces: Uncertainty Quantification via Sparse Tensor Boundary Elements

by C. Jerez-Hanckes and Ch. Schwab

(Report number 2015-23)

Abstract
For time-harmonic scattering of electromagnetic waves from obstacles with uncertain geometry, we perform a domain perturbation analysis. Assuming as known both the scatterers' nominal geometry and its small-amplitude random perturbations statistics, we derive a tensorized boundary integral equation which describes, to leading order, the second order statistics, i.e.~the two-point correlation of the randomly scattered electromagnetic fields. Perfectly conducting as well as homogeneous dielectric scatterers with random boundary and interface, respectively, are considered. Deterministic tensor equations for second-order statistics of both, Cauchy data on the nominal domain of the scatterer as well as of the far-field pattern are derived, generalizing the work by Harbrecht, Schneider and Schwab, Numer. Math., 109(3):385--414, 2008) to electromagnetics and to interface problems, and being an instance of the general programme outlined by Chernov and Schwab Math. Comp., 82(284):1859--1888, 2013). The tensorized boundary integral equations are formulated on the surface of the known nominal scatterer. Sparse tensor Galerkin discretizations of these BIEs are proposed and analyzed based on the stability results by Hiptmair, Jerez-Hanckes and Schwab BIT, 53(4):925-939); we show that they allow, to leading order, consistent Galerkin approximations of the complete second order statistics of the random scattered electric field, with computational work equivalent to that for the Galerkin solution of the nominal problem up to logarithmic terms.

Keywords: Electromagnetic Scattering, Shape Calculus, Galerkin Boundary Element Method, Sparse Tensor Approximation, Uncertainty Quantification

@Techreport{JS15_613,
  author = {C. Jerez-Hanckes and Ch. Schwab},
  title = {Electromagnetic Wave Scattering by Random Surfaces: Uncertainty Quantification via Sparse Tensor Boundary Elements},
  institution = {Seminar for Applied Mathematics, ETH Z{\"u}rich},
  number = {2015-23},
  address = {Switzerland},
  url = {https://www.sam.math.ethz.ch/sam_reports/reports_final/reports2015/2015-23.pdf },
  year = {2015}
}

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