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Journal of Mathematical Analysis and Applications
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Journal of Mathematical Analysis and Applications
Article . 1974
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A Characterization for reproducing kernel Hilbert spaces

A characterization for reproducing kernel Hilbert spaces
Authors: Robert J. Grethel;

A Characterization for reproducing kernel Hilbert spaces

Abstract

AbstractLet G(t, s) be the Green's functions associated with N, a differential operator restricted to certain boundary conditions. Define (u, v)N = (Nu, v)L2. It is shown that the reproducing kernel Hilbert space generated by G is the same as the Hilbert-space completion with respect to ∥ · ∥N of the set of real valued functions which are in C2n and satisfy the boundary conditions. The concept of Sobolev spaces is used in the proof and examples are given.

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Keywords

Hilbert and pre-Hilbert spaces: geometry and topology (including spaces with semidefinite inner product), Applied Mathematics, General theory of ordinary differential operators, Sobolev spaces and other spaces of ``smooth'' functions, embedding theorems, trace theorems, Analysis, Spaces of measurable functions (\(L^p\)-spaces, Orlicz spaces, Köthe function spaces, Lorentz spaces, rearrangement invariant spaces, ideal spaces, etc.)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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