Multiple multivariate subdivision schemes: matrix and operator approaches
Abstract
This paper extends the matrix based approach to the setting of multiple subdivision schemes studied in [Sauer 2012]. Multiple subdivision schemes, in contrast to stationary and non-stationary schemes, allow for level dependent subdivision weights and for level dependent choice of the dilation matrices. The latter property of multiple subdivision makes the standard definition of the transition matrices, crucial ingredient of the matrix approach in the stationary and non-stationary settings, inapplicable. We show how to avoid this obstacle and characterize the convergence of multiple subdivision schemes in terms of the joint spectral radius of certain square matrices derived from subdivision weights. We illustrate our results with several examples.
Keywords
Cite
@article{arxiv.1808.08050,
title = {Multiple multivariate subdivision schemes: matrix and operator approaches},
author = {Maria Charina and Thomas Mejstrik},
journal= {arXiv preprint arXiv:1808.08050},
year = {2018}
}
Comments
15 pages, 3 figures, Matlab code for download at http://tommsch.com, to be published in Journal of Computational and Applied Mathematics