English

A Primer on Reproducing Kernel Hilbert Spaces

History and Overview 2015-11-06 v2

Abstract

Reproducing kernel Hilbert spaces are elucidated without assuming prior familiarity with Hilbert spaces. Compared with extant pedagogic material, greater care is placed on motivating the definition of reproducing kernel Hilbert spaces and explaining when and why these spaces are efficacious. The novel viewpoint is that reproducing kernel Hilbert space theory studies extrinsic geometry, associating with each geometric configuration a canonical overdetermined coordinate system. This coordinate system varies continuously with changing geometric configurations, making it well-suited for studying problems whose solutions also vary continuously with changing geometry. This primer can also serve as an introduction to infinite-dimensional linear algebra because reproducing kernel Hilbert spaces have more properties in common with Euclidean spaces than do more general Hilbert spaces.

Keywords

Cite

@article{arxiv.1408.0952,
  title  = {A Primer on Reproducing Kernel Hilbert Spaces},
  author = {Jonathan H. Manton and Pierre-Olivier Amblard},
  journal= {arXiv preprint arXiv:1408.0952},
  year   = {2015}
}

Comments

Revised version submitted to Foundations and Trends in Signal Processing

R2 v1 2026-06-22T05:20:41.838Z