On the reproduction properties of non-stationary subdivision schemes
Costanza Conti, Lucia Romani

TL;DR
This paper investigates the algebraic conditions necessary for non-stationary subdivision schemes to reproduce exponential polynomial spaces, extending polynomial reproduction theory and enabling the construction of schemes with specific reproduction capabilities.
Contribution
It provides algebraic conditions for exponential polynomial reproduction in non-stationary schemes and demonstrates how to construct schemes with desired reproduction properties.
Findings
Derived algebraic conditions for reproduction of exponential polynomials.
Extended polynomial reproduction theory to non-stationary schemes.
Enabled construction of new schemes with specific reproduction properties.
Abstract
We present an accurate investigation of the algebraic conditions that the symbols of a convergent, univariate, binary, non-stationary subdivision scheme should fulfill in order to reproduce spaces of exponential polynomials. A subdivision scheme is said to possess the property of reproducing exponential polynomials if, for any initial data uniformly sampled from some exponential polynomial function, the scheme yields the same function in the limit. The importance of this property is due to the fact that several functions obtained as combinations of exponential polynomials (such as conic sections, spirals or special trigonometric and hyperbolic functions) are of great interest in graphical and engineering applications. Since the space of exponential polynomials trivially includes standard polynomials, the results in this work extend the recently developed theory on polynomial…
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 · Advanced machining processes and optimization · Tribology and Lubrication Engineering
