Polynomial interpolation in higher dimension: from simplicial complexes to GC sets
Nathan Fieldsteel, Hal Schenck

TL;DR
This paper explores the structure of GC sets in higher dimensions, linking their formation to the combinatorics of simplicial complexes, and advances understanding of polynomial interpolation in multi-dimensional spaces.
Contribution
It introduces a new method to construct GC sets in higher dimensions using simplicial complexes, extending prior work focused mainly on the planar case.
Findings
GC sets in higher dimensions can be derived from simplicial complex combinatorics
The work extends the understanding of polynomial interpolation in R^d
Provides a framework for constructing GC sets beyond the plane
Abstract
Geometrically characterized (GC) sets were introduced by Chung-Yao in their work on polynomial interpolation in R^d. Conjectures on the structure of GC sets have been proposed by Gasca-Maeztu for the planar case, and in higher dimension by de Boor and Apozyan-Hakopian. We investigate GC sets in dimension three or more, and show that one way to obtain such sets is from the combinatorics of simplicial complexes.
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.
