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New characterizations of reproducing kernel Hilbert spaces and applications to metric geometry
Journal article   Open access  Peer reviewed

New characterizations of reproducing kernel Hilbert spaces and applications to metric geometry

Daniel Alpay and Palle E.T. Jorgensen
Rocznik Akademii Górniczo-Hutniczej im. Stanisława Staszica. Opuscula Mathematica, Vol.41(3), pp.283-300
04/01/2021
DOI: 10.7494/OpMath.2021.41.3.283
url
https://doi.org/10.7494/OpMath.2021.41.3.283View
Published (Version of record) Open Access

Abstract

We give two new global and algorithmic constructions of the reproducing kernel Hilbert space associated to a positive definite kernel. We further present a general positive definite kernel setting using bilinear forms, and we provide new examples. Our results cover the case of measurable positive definite kernels, and we give applications to both stochastic analysis and metric geometry and provide a number of examples.
algorithms approximation measures positive definite functions reproducing kernel stochastic processes

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