arXiv · 0710.2071
Generalized multiresolution analyses with given multiplicity functions
Abstract
Generalized multiresolution analyses are increasing sequences of subspaces of a Hilbert space $\H$ that fail to be multiresolution analyses in the sense of wavelet theory because the core subspace does not have an orthonormal basis generated by a fixed scaling function. Previous authors have studied a multiplicity function $m$ which, loosely speaking, measures the failure of the GMRA to be an MRA. When the Hilbert space $\H$ is $L^2(\mathbb R^n)$, the possible multiplicity functions have been characterized by Baggett and Merrill. Here we start with a function $m$ satisfying a consistency condition which is known to be necessary, and build a GMRA in an abstract Hilbert space with multiplicity function $m$.
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Lawrence W. Baggett, Nadia S. Larsen, Kathy D. Merrill, Judith A. Packer, Iain Raeburn. 2007-10-10. Generalized multiresolution analyses with given multiplicity functions. https://arxiv.org/abs/0710.2071
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