Periodic GMP Matrices

We recall criteria on the spectrum of Jacobi matrices such that the corresponding isospectral torus consists of periodic operators. Motivated by those known results for Jacobi matrices, we define a new class of operators called GMP matrices. They form a certain Generalization of matrices related to...

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Опубліковано в: :Symmetry, Integrability and Geometry: Methods and Applications
Дата:2016
Автор: Eichinger, B.
Формат: Стаття
Мова:Англійська
Опубліковано: Інститут математики НАН України 2016
Онлайн доступ:https://nasplib.isofts.kiev.ua/handle/123456789/147763
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Periodic GMP Matrices / B. Eichinger // Symmetry, Integrability and Geometry: Methods and Applications. — 2016. — Т. 12. — Бібліогр.: 25 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Eichinger, B.
author_facet Eichinger, B.
citation_txt Periodic GMP Matrices / B. Eichinger // Symmetry, Integrability and Geometry: Methods and Applications. — 2016. — Т. 12. — Бібліогр.: 25 назв. — англ.
collection DSpace DC
container_title Symmetry, Integrability and Geometry: Methods and Applications
description We recall criteria on the spectrum of Jacobi matrices such that the corresponding isospectral torus consists of periodic operators. Motivated by those known results for Jacobi matrices, we define a new class of operators called GMP matrices. They form a certain Generalization of matrices related to the strong Moment Problem. This class allows us to give a parametrization of almost periodic finite gap Jacobi matrices by periodic GMP matrices. Moreover, due to their structural similarity we can carry over numerous results from the direct and inverse spectral theory of periodic Jacobi matrices to the class of periodic GMP matrices. In particular, we prove an analogue of the remarkable ''magic formula'' for this new class.
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spelling Eichinger, B.
2019-02-15T19:16:00Z
2019-02-15T19:16:00Z
2016
Periodic GMP Matrices / B. Eichinger // Symmetry, Integrability and Geometry: Methods and Applications. — 2016. — Т. 12. — Бібліогр.: 25 назв. — англ.
1815-0659
2010 Mathematics Subject Classification: 30E05; 30F15; 47B36; 42C05; 58J53
DOI:10.3842/SIGMA.2016.066
https://nasplib.isofts.kiev.ua/handle/123456789/147763
We recall criteria on the spectrum of Jacobi matrices such that the corresponding isospectral torus consists of periodic operators. Motivated by those known results for Jacobi matrices, we define a new class of operators called GMP matrices. They form a certain Generalization of matrices related to the strong Moment Problem. This class allows us to give a parametrization of almost periodic finite gap Jacobi matrices by periodic GMP matrices. Moreover, due to their structural similarity we can carry over numerous results from the direct and inverse spectral theory of periodic Jacobi matrices to the class of periodic GMP matrices. In particular, we prove an analogue of the remarkable ''magic formula'' for this new class.
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.
 The author was supported by the Austrian Science Fund FWF, project no: P25591-N25. He
 would like to thank his advisor Peter Yuditskii for his guidance and help during the preparation
 of this paper. Finally, he is grateful to the anonymous referees for their remarks that improved
 the presentation of the paper.
en
Інститут математики НАН України
Symmetry, Integrability and Geometry: Methods and Applications
Periodic GMP Matrices
Article
published earlier
spellingShingle Periodic GMP Matrices
Eichinger, B.
title Periodic GMP Matrices
title_full Periodic GMP Matrices
title_fullStr Periodic GMP Matrices
title_full_unstemmed Periodic GMP Matrices
title_short Periodic GMP Matrices
title_sort periodic gmp matrices
url https://nasplib.isofts.kiev.ua/handle/123456789/147763
work_keys_str_mv AT eichingerb periodicgmpmatrices