Nonlinear expansions in reproducing kernel Hilbert spaces
Javad Mashreghi, William Verreault

TL;DR
This paper introduces a new nonlinear expansion scheme in reproducing kernel Hilbert spaces, generalizing classical series and applying to Hardy spaces, with convergence properties depending on chosen multipliers.
Contribution
It presents a novel nonlinear expansion framework in RKHS and Hardy spaces, extending classical series and analyzing convergence behavior based on multipliers.
Findings
Generalizes Blaschke unwinding series to Hardy spaces
Provides conditions for convergence to functions or projections
Includes explicit examples not covered by previous methods
Abstract
We introduce an expansion scheme in reproducing kernel Hilbert spaces, which as a special case covers the celebrated Blaschke unwinding series expansion for analytic functions. The expansion scheme is further generalized to cover Hardy spaces , , viewed as Banach spaces of analytic functions with bounded evaluation functionals. In this setting a dichotomy is more transparent: depending on the multipliers used, the expansion of converges either to in -norm or to its projection onto a model space generated by the corresponding multipliers. Some explicit instances of the general expansion scheme, which are not covered by the previously known methods, are also discussed.
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.
