paper

Almost diagonal matrices and Besov-type spaces based on wavelet expansions

arXiv:1408.4581

Abstract

This paper is concerned with problems in the context of the theoretical foundation of adaptive (wavelet) algorithms for the numerical treatment of operator equations. It is well-known that the analysis of such schemes naturally leads to function spaces of Besov type. But, especially when dealing with equations on non-smooth manifolds, the definition of these spaces is not straightforward. Nevertheless, motivated by applications, recently Besov-type spaces on certain two-dimensional, patchwise smooth surfaces were defined and employed successfully. In the present paper, we extend this definition (based on wavelet expansions) to a quite general class of -dimensional manifolds and investigate some analytical properties (such as, e.g., embeddings and best -term approximation rates) of the resulting quasi-Banach spaces. In particular, we prove that different prominent constructions of biorthogonal wavelet systems on domains or manifolds which admit a decomposition into smooth patches actually generate the same Besov-type function spaces , provided that their univariate ingredients possess a sufficiently large order of cancellation and regularity (compared to the smoothness parameter of the space). For this purpose, a theory of almost diagonal matrices on related sequence spaces of Besov type is developed. Keywords: Besov spaces, wavelets, localization, sequence spaces, adaptive methods, non-linear approximation, manifolds, domain decomposition.

38 pages, 2 figures

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