4.2 Article

Vector cascade algorithms and refinable function vectors in Sobolev spaces

期刊

JOURNAL OF APPROXIMATION THEORY
卷 124, 期 1, 页码 44-88

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/S0021-9045(03)00120-5

关键词

vector cascade algorithm and subdivision scheme; refinable function vector; hermite interpolant; initial function vector; canonical mask; convergence; rate of convergence; error estimate; smoothness

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In this paper we shall study vector cascade algorithms and refinable function vectors with a general isotropic dilation matrix in Sobolev spaces. By introducing the concept of a canonical mask for a given matrix mask and by investigating several properties of the initial function vectors in a vector cascade algorithm, we are able to take a relatively unified approach to study several questions such as convergence, rate of convergence and error estimate for a perturbed mask of a vector cascade algorithm in a Sobolev space W-p(k)(R-s) (1 less than or equal to p less than or equal to infinity, k is an element of N boolean OR {0}). We shall characterize the convergence of a vector cascade algorithm in a Sobolev space in various ways. As a consequence, a simple characterization for refinable Hermite interpolants and a sharp error estimate of a vector cascade algorithm in a Sobolev space with a perturbed mask will be presented. The approach in this paper enables us to answer some unsolved questions in the literature on vector cascade algorithms and to comprehensively generalize and improve results on scalar cascade algorithms and scalar refinable functions to the vector case. (C) 2003 Elsevier Inc. All rights reserved.

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