146 research outputs found

    Analysis-suitable adaptive T-mesh refinement with linear complexity

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    We present an efficient adaptive refinement procedure that preserves analysis-suitability of the T-mesh, this is, the linear independence of the T-spline blending functions. We prove analysis-suitability of the overlays and boundedness of their cardinalities, nestedness of the generated T-spline spaces, and linear computational complexity of the refinement procedure in terms of the number of marked and generated mesh elements.Comment: We now account for T-splines of arbitrary polynomial degree. We replaced the proof of Dual-Compatibility by a proof of Analysis-suitability, added a section where we address nestedness of the corresponding T-spline spaces, and removed the section on finite overlap the spline supports. 24 pages, 9 Figure

    Stable Multiscale Petrov-Galerkin Finite Element Method for High Frequency Acoustic Scattering

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    We present and analyze a pollution-free Petrov-Galerkin multiscale finite element method for the Helmholtz problem with large wave number κ\kappa as a variant of [Peterseim, ArXiv:1411.1944, 2014]. We use standard continuous Q1Q_1 finite elements at a coarse discretization scale HH as trial functions, whereas the test functions are computed as the solutions of local problems at a finer scale hh. The diameter of the support of the test functions behaves like mHmH for some oversampling parameter mm. Provided mm is of the order of log⁡(κ)\log(\kappa) and hh is sufficiently small, the resulting method is stable and quasi-optimal in the regime where HH is proportional to κ−1\kappa^{-1}. In homogeneous (or more general periodic) media, the fine scale test functions depend only on local mesh-configurations. Therefore, the seemingly high cost for the computation of the test functions can be drastically reduced on structured meshes. We present numerical experiments in two and three space dimensions.Comment: The version coincides with v3. We only resized some figures which were difficult to process for certain printer

    Quantitative Anderson localization of Schr\"odinger eigenstates under disorder potentials

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    This paper concerns spectral properties of linear Schr\"odinger operators under oscillatory high-amplitude potentials on bounded domains. Depending on the degree of disorder, we prove the existence of spectral gaps amongst the lowermost eigenvalues and the emergence of exponentially localized states. We quantify the rate of decay in terms of geometric parameters that characterize the potential. The proofs are based on the convergence theory of iterative solvers for eigenvalue problems and their optimal local preconditioning by domain decomposition.Comment: accepted for publication in M3A

    A localized orthogonal decomposition method for semi-linear elliptic problems

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    In this paper we propose and analyze a new Multiscale Method for solving semi-linear elliptic problems with heterogeneous and highly variable coefficient functions. For this purpose we construct a generalized finite element basis that spans a low dimensional multiscale space. The basis is assembled by performing localized linear fine-scale computations in small patches that have a diameter of order H |log H| where H is the coarse mesh size. Without any assumptions on the type of the oscillations in the coefficients, we give a rigorous proof for a linear convergence of the H1-error with respect to the coarse mesh size. To solve the arising equations, we propose an algorithm that is based on a damped Newton scheme in the multiscale space

    An analysis of a class of variational multiscale methods based on subspace decomposition

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    Numerical homogenization tries to approximate the solutions of elliptic partial differential equations with strongly oscillating coefficients by functions from modified finite element spaces. We present in this paper a class of such methods that are very closely related to the method of M{\aa}lqvist and Peterseim [Math. Comp. 83, 2014]. Like the method of M{\aa}lqvist and Peterseim, these methods do not make explicit or implicit use of a scale separation. Their compared to that in the work of M{\aa}lqvist and Peterseim strongly simplified analysis is based on a reformulation of their method in terms of variational multiscale methods and on the theory of iterative methods, more precisely, of additive Schwarz or subspace decomposition methods.Comment: published electronically in Mathematics of Computation on January 19, 201
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