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Multi-Resolution Localized Orthogonal Decomposition for Helmholtz Problems

Moritz Hauck, Daniel Peterseim

2022Multiscale Modeling and Simulation16 citationsDOIOpen Access PDF

Abstract

We introduce a novel multi-resolution localized orthogonal decomposition (LOD) for time-harmonic acoustic scattering problems that can be modeled by the Helmholtz equation. The method merges the concepts of LOD and operator-adapted wavelets (gamblets) and proves its applicability for a class of complex-valued, non-hermitian, and indefinite problems. It computes hierarchical bases that block-diagonalize the Helmholtz operator and thereby decouples the discretization scales. Sparsity is preserved by a novel localization strategy that improves stability properties even in the elliptic case. We present a rigorous stability and a priori error analysis of the proposed method for homogeneous media. In addition, we investigate the fast solvability of the blocks by a standard iterative method. A sequence of numerical experiments illustrates the sharpness of the theoretical findings and demonstrates the applicability to scattering problems in heterogeneous media.

Topics & Concepts

Helmholtz equationDiscretizationStability (learning theory)MathematicsOperator (biology)Applied mathematicsWaveletBlock (permutation group theory)AlgorithmMatrix decompositionDecomposition method (queueing theory)Helmholtz free energyMathematical analysisComputer scienceMathematical optimizationEigenvalues and eigenvectorsBoundary value problemPhysicsGeometryDiscrete mathematicsGeneChemistryMachine learningTranscription factorRepressorQuantum mechanicsArtificial intelligenceBiochemistryNumerical methods in engineeringAdvanced Numerical Methods in Computational MathematicsElectromagnetic Simulation and Numerical Methods