Approximation order and approximate sum rules in subdivision
Costanza Conti, Lucia Romani, Jungho Yoon

TL;DR
This paper explores how exponential polynomials and approximate sum rules influence the approximation properties of non-stationary subdivision schemes, extending known stationary scheme results to the non-stationary context.
Contribution
It establishes that exponential polynomials and approximate sum rules play roles analogous to polynomials and sum rules in stationary schemes, with new results on reproduction, generation, and convergence.
Findings
Reproduction of exponential polynomials implies approximate sum rules of corresponding order.
Generation of exponential polynomials implies approximate sum rules under additional conditions.
Reproduction of exponential polynomial spaces and asymptotical similarity ensure approximation order N.
Abstract
Several properties of stationary subdivision schemes are nowadays well understood. In particular, it is known that the polynomial generation and reproduction capability of a stationary subdivision scheme is strongly connected with sum rules, its convergence, smoothness and approximation order. The aim of this paper is to show that, in the non-stationary case, exponential polynomials and approximate sum rules play an analogous role of polynomials and sum rules in the stationary case. Indeed, in the non-stationary univariate case we are able to show the following important facts: i) reproduction of exponential polynomials implies approximate sum rules of order ; ii) generation of exponential polynomials implies approximate sum rules of order , under the additional assumption of asymptotical similarity and reproduction of one exponential polynomial; iii) reproduction of an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Analysis Techniques · Tribology and Lubrication Engineering · Advanced machining processes and optimization
