Remarks on Inner Functions and Optimal Approximants
Catherine B\'en\'eteau, Matthew Fleeman, Dmitry Khavinson, Daniel Seco, and Alan Sola

TL;DR
This paper explores the relationship between inner functions and optimal polynomial approximants in reproducing kernel Hilbert spaces, revisiting classical examples and proposing modifications to existing constructions.
Contribution
It provides new insights into the connection between inner functions and optimal approximants, including a modified construction based on Shapiro and Shields' method.
Findings
Inner functions relate closely to optimal polynomial approximants.
Classical examples are revisited with a new perspective.
A modified construction for producing inner functions is proposed.
Abstract
We discuss the concept of inner function in reproducing kernel Hilbert spaces with an orthogonal basis of monomials and examine connections between inner functions and optimal polynomial approximants to , where is a function in the space. We revisit some classical examples from this perspective, and show how a construction of Shapiro and Shields can be modified to produce inner functions.
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.
