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Documenta Mathematica
Article . 2022 . Peer-reviewed
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Multiplier tests and subhomogeneity of multiplier algebras

Authors: Michael Hartz; John E. McCarthy; Stefan Richter; Alexandru Aleman;

Multiplier tests and subhomogeneity of multiplier algebras

Abstract

Multipliers of reproducing kernel Hilbert spaces can be characterized in terms of positivity of n \times n matrices analogous to the classical Pick matrix. We study for which reproducing kernel Hilbert spaces it suffices to consider matrices of bounded size n . We connect this problem to the notion of subhomogeneity of non-selfadjoint operator algebras. Our main results show that multiplier algebras of many Hilbert spaces of analytic functions, such as the Dirichlet space and the Drury-Arveson space, are not subhomogeneous, and hence one has to test Pick matrices of arbitrarily large matrix size n . To treat the Drury-Arveson space, we show that multiplier algebras of certain weighted Dirichlet spaces on the disc embed completely isometrically into the multiplier algebra of the Drury-Arveson space.

Keywords

Linear operators in reproducing-kernel Hilbert spaces (including de Branges, de Branges-Rovnyak, and other structured spaces), Mathematics - Complex Variables, subhomogeneous operator algebras, Drury-Arveson space, Mathematics - Operator Algebras, multiplier, Functional Analysis (math.FA), Mathematics - Functional Analysis, Primary: 46E22, Secondary: 47B32, 47L55, Representations of (nonselfadjoint) operator algebras, FOS: Mathematics, Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces), Complex Variables (math.CV), Operator Algebras (math.OA), reproducing kernel Hilbert space

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    influence
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selected citations
These citations are derived from selected sources.
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!
9
Top 10%
Average
Top 10%
Green
Published in a Diamond OA journal