Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures

A matrix-valued measure Θ reduces to measures of smaller size if there exists a constant invertible matrix M such that MΘM∗ is block diagonal. Equivalently, the real vector space A of all matrices T such that TΘ(X)=Θ(X)T∗ for any Borel set X is non-trivial. If the subspace Ah of self-adjoints elemen...

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Veröffentlicht in:Symmetry, Integrability and Geometry: Methods and Applications
Datum:2016
Hauptverfasser: Koelink, E., Román, P.
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут математики НАН України 2016
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/147427
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Zitieren:Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures / E. Koelink, P. Román // Symmetry, Integrability and Geometry: Methods and Applications. — 2016. — Т. 12. — Бібліогр.: 12 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Koelink, E.
Román, P.
author_facet Koelink, E.
Román, P.
citation_txt Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures / E. Koelink, P. Román // Symmetry, Integrability and Geometry: Methods and Applications. — 2016. — Т. 12. — Бібліогр.: 12 назв. — англ.
collection DSpace DC
container_title Symmetry, Integrability and Geometry: Methods and Applications
description A matrix-valued measure Θ reduces to measures of smaller size if there exists a constant invertible matrix M such that MΘM∗ is block diagonal. Equivalently, the real vector space A of all matrices T such that TΘ(X)=Θ(X)T∗ for any Borel set X is non-trivial. If the subspace Ah of self-adjoints elements in the commutant algebra A of Θ is non-trivial, then Θ is reducible via a unitary matrix. In this paper we prove that A is ∗-invariant if and only if Ah=A, i.e., every reduction of Θ can be performed via a unitary matrix. The motivation for this paper comes from families of matrix-valued polynomials related to the group SU(2)×SU(2) and its quantum analogue. In both cases the commutant algebra A=Ah⊕iAh is of dimension two and the matrix-valued measures reduce unitarily into a 2×2 block diagonal matrix. Here we show that there is no further non-unitary reduction.
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institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
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language English
last_indexed 2025-11-25T12:51:19Z
publishDate 2016
publisher Інститут математики НАН України
record_format dspace
spelling Koelink, E.
Román, P.
2019-02-14T18:23:07Z
2019-02-14T18:23:07Z
2016
Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures / E. Koelink, P. Román // Symmetry, Integrability and Geometry: Methods and Applications. — 2016. — Т. 12. — Бібліогр.: 12 назв. — англ.
1815-0659
2010 Mathematics Subject Classification: 33D45; 42C05
DOI:10.3842/SIGMA.2016.008
https://nasplib.isofts.kiev.ua/handle/123456789/147427
A matrix-valued measure Θ reduces to measures of smaller size if there exists a constant invertible matrix M such that MΘM∗ is block diagonal. Equivalently, the real vector space A of all matrices T such that TΘ(X)=Θ(X)T∗ for any Borel set X is non-trivial. If the subspace Ah of self-adjoints elements in the commutant algebra A of Θ is non-trivial, then Θ is reducible via a unitary matrix. In this paper we prove that A is ∗-invariant if and only if Ah=A, i.e., every reduction of Θ can be performed via a unitary matrix. The motivation for this paper comes from families of matrix-valued polynomials related to the group SU(2)×SU(2) and its quantum analogue. In both cases the commutant algebra A=Ah⊕iAh is of dimension two and the matrix-valued measures reduce unitarily into a 2×2 block diagonal matrix. Here we show that there is no further non-unitary reduction.
This paper is a contribution to the Special Issue on Orthogonal Polynomials, Special Functions and Applications.
 The full collection is available at http://www.emis.de/journals/SIGMA/OPSFA2015.html.
 We thank I. Zurri´an for pointing out a similar example to Example 4.1 to the first author. The
 research of Pablo Rom´an is supported by the Radboud Excellence Fellowship. We would like to
 thank the anonymous referees for their comments and remarks, that have helped us to improve
 the paper.
en
Інститут математики НАН України
Symmetry, Integrability and Geometry: Methods and Applications
Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures
Article
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spellingShingle Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures
Koelink, E.
Román, P.
title Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures
title_full Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures
title_fullStr Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures
title_full_unstemmed Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures
title_short Orthogonal vs. Non-Orthogonal Reducibility of Matrix-Valued Measures
title_sort orthogonal vs. non-orthogonal reducibility of matrix-valued measures
url https://nasplib.isofts.kiev.ua/handle/123456789/147427
work_keys_str_mv AT koelinke orthogonalvsnonorthogonalreducibilityofmatrixvaluedmeasures
AT romanp orthogonalvsnonorthogonalreducibilityofmatrixvaluedmeasures