A note on functions preserving positive definiteness
Piotr Niemiec

TL;DR
This paper characterizes functions that preserve positive definiteness when applied to kernels, providing a comprehensive understanding of their structure and conditions.
Contribution
It offers a complete characterization of functions that maintain positive definiteness of kernels under composition, extending prior partial results.
Findings
Identifies necessary and sufficient conditions for functions to preserve positive definiteness
Provides a full classification of such functions on intervals satisfying natural conditions
Enhances understanding of kernel transformations in functional analysis
Abstract
The aim of the paper is to give a full characterization of functions f from I into the real line R (where I is an interval in R that satisfies certain natural conditions) such that for any I-valued positive definite kernel K defined on an arbitrary set X the kernel formed by composing f with K is positive definite as well.
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
TopicsHolomorphic and Operator Theory · Advanced Banach Space Theory · Approximation Theory and Sequence Spaces
