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Sparse Tensor Product Wavelet Approximation of Singular Functions

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Sparse Tensor Product Wavelet Approximation of Singular Functions
Abstract. On product domains, sparse-grid approximation yields optimal, dimension-independent convergence rates when the function that is approximated has L2-bounded mixed derivatives of a sufficiently high order. We show that the solution of Poisson's equation on the n-dimensional hypercube with Dirichlet boundary conditions and smooth right-hand side generally does not satisfy this condition. As suggested by P.-A. Nitsche in [Constr. Approx., 21 (2005), pp. 63
Monique Dauge, Rob Stevenson
Added 21 May 2011
Updated 21 May 2011
Type Journal
Year 2010
Where SIAMMA
Authors Monique Dauge, Rob Stevenson
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