BOOK-CHAPTER

Reproducing Kernel Hilbert Spaces

Simon Foucart

Year: 2022 Cambridge University Press eBooks Pages: 31-40   Publisher: Cambridge University Press

Abstract

This chapter provides a theoretical analysis of reproducing kernel Hilbert spaces. It starts by showing that every Hilbert space of functions in which point evaluations are continuous linear functionals possesses a reproducing kernel. It proceeds by showing that every positive semidefinite kernel gives rise to a reproducing kernel Hilbert space—this is the Moore--Aronszajn theorem. Finally, the Mercer theorem offers an explicit representation of this reproducing kernel Hilbert space under additional conditions on the kernel.

Keywords:
Reproducing kernel Hilbert space Kernel (algebra) Mathematics Hilbert space Representer theorem Bergman kernel Kernel principal component analysis Kernel embedding of distributions Pure mathematics Kernel method Computer science Artificial intelligence

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Topics

Advanced Numerical Analysis Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Model Reduction and Neural Networks
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics

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