Computing the numerical range of Krein space operators
Consider the Hilbert space (H,〈• , •〉) equipped with the indefinite inner product[u,v]=v*J u,u,v∈ H, where J is an indefinite self-adjoint involution acting on H. The Krein space numerical range WJ(T) of an operator T acting on H is the set of all the values attained by the quadratic form [Tu,u], wi...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2014-11-01
|
Series: | Open Mathematics |
Subjects: | |
Online Access: | https://doi.org/10.1515/math-2015-0014 |
id |
doaj-a1ea6a4a34ce4672a6270c2f8483c26b |
---|---|
record_format |
Article |
spelling |
doaj-a1ea6a4a34ce4672a6270c2f8483c26b2021-09-06T19:20:07ZengDe GruyterOpen Mathematics2391-54552014-11-0113110.1515/math-2015-0014math-2015-0014Computing the numerical range of Krein space operatorsBebiano Natalia0da Providência J.1Nata A.2da Providência J.P.3CMUC, University of Coimbra, Department of Mathematics, P 3001-454 Coimbra, PortugalUniversity of Coimbra, Department of Physics, P 3004-516 Coimbra, PortugalCMUC, Polytechnic Institute of Tomar, Department of Mathematics, P 2300-313 Tomar, PortugalDepatamento de Física, Univ. of Beira Interior, P-6201-001 Covilhã, PortugalConsider the Hilbert space (H,〈• , •〉) equipped with the indefinite inner product[u,v]=v*J u,u,v∈ H, where J is an indefinite self-adjoint involution acting on H. The Krein space numerical range WJ(T) of an operator T acting on H is the set of all the values attained by the quadratic form [Tu,u], with u ∈H satisfying [u,u]=± 1. We develop, implement and test an alternative algorithm to compute WJ(T) in the finite dimensional case, constructing 2 by 2 matrix compressions of T and their easily determined elliptical and hyperbolical numerical ranges. The numerical results reported here indicate that this method is very efficient, since it is faster and more accurate than either of the existing algorithms. Further, it may yield easy solutions for the inverse indefinite numerical range problem. Our algorithm uses an idea of Marcus and Pesce from 1987 for generating Hilbert space numerical ranges of matrices of size n.https://doi.org/10.1515/math-2015-0014indefinite inner product krein space numerical range compression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bebiano Natalia da Providência J. Nata A. da Providência J.P. |
spellingShingle |
Bebiano Natalia da Providência J. Nata A. da Providência J.P. Computing the numerical range of Krein space operators Open Mathematics indefinite inner product krein space numerical range compression |
author_facet |
Bebiano Natalia da Providência J. Nata A. da Providência J.P. |
author_sort |
Bebiano Natalia |
title |
Computing the numerical range of Krein space operators |
title_short |
Computing the numerical range of Krein space operators |
title_full |
Computing the numerical range of Krein space operators |
title_fullStr |
Computing the numerical range of Krein space operators |
title_full_unstemmed |
Computing the numerical range of Krein space operators |
title_sort |
computing the numerical range of krein space operators |
publisher |
De Gruyter |
series |
Open Mathematics |
issn |
2391-5455 |
publishDate |
2014-11-01 |
description |
Consider the Hilbert space (H,〈• , •〉) equipped with the indefinite inner product[u,v]=v*J u,u,v∈ H, where J is an indefinite self-adjoint involution acting on H. The Krein space numerical range WJ(T) of an operator T acting on H is the set of all the values attained by the quadratic form [Tu,u], with u ∈H satisfying [u,u]=± 1. We develop, implement and test an alternative algorithm to compute WJ(T) in the finite dimensional case, constructing 2 by 2 matrix compressions of T and their easily determined elliptical and hyperbolical numerical ranges. The numerical results reported here indicate that this method is very efficient, since it is faster and more accurate than either of the existing algorithms. Further, it may yield easy solutions for the inverse indefinite numerical range problem. Our algorithm uses an idea of Marcus and Pesce from 1987 for generating Hilbert space numerical ranges of matrices of size n. |
topic |
indefinite inner product krein space numerical range compression |
url |
https://doi.org/10.1515/math-2015-0014 |
work_keys_str_mv |
AT bebianonatalia computingthenumericalrangeofkreinspaceoperators AT daprovidenciaj computingthenumericalrangeofkreinspaceoperators AT nataa computingthenumericalrangeofkreinspaceoperators AT daprovidenciajp computingthenumericalrangeofkreinspaceoperators |
_version_ |
1717777310985224192 |