Scispace (Formerly Typeset)
  1. Home
  2. Topics
  3. Orthogonal complement
  4. 1979
  1. Home
  2. Topics
  3. Orthogonal complement
  4. 1979
Showing papers on "Orthogonal complement published in 1979"
Journal Article•10.1090/S0002-9939-1979-0537088-2•
Spectral approximations of a normal operator

[...]

Richard Bouldin
1 Feb 1979
TL;DR: In this article, it was shown that the dimension of the convex set of all 9l(A; ir>approximants of normal operator A is (dim H^ where HQ is the orthogonal complement of ker(|^4 - F(A)) and F(z) is the unique distaince minimizing retract of the complex plane onto A. The main theorem generalizes previously known results for positive approximants (1, Theorem 5.2) and selfadjoint approximant (2, Corollary 3.3);
Abstract: If A is a closed convex set in the complex plane then 9l(A; H) denotes all the normal (bounded linear) operators on the fixed separable Hilbert space H with spectrum contained in A. The fixed operator A has N as an 9t(A; //>approximant provided N belongs to 9L(A; H) and the operator norm \\A — N\\ equals pA(A), the distance from A to 9l(A; H). With some hypothesis on A, this note proves that the dimension of the convex set of all 9l(A; ir>approximants of normal operator A is (dim H^ where HQ is the orthogonal complement of ker(|^4 - F(A)\ — pA(A)) and F(z) is the unique distaince minimizing retract of the complex plane onto A. 1. Introduction. If A is a closed convex set in the complex plane then 9l(A; H) denotes all the normal (bounded linear) operators on the fixed separable Hilbert space H with spectrum contained in A. The fixed operator A has N as an 9l(A; /O-approximant provided N belongs to 9l(A; H) and the operator norm \\A - N\\ equals pA(A), the distance from A to 9l(A; H). The set of all 9l(A; -if")-approximants of A is denoted 9l(A; A). Provided A is normal and A is a closed convex subset of some straight line in the complex plane, the main theorem of this note constructs enough members of 91 (A; A) to determine its dimension as a convex set (see (7, pp. 7-9)). Thus, the main theorem generalizes previously known results for positive approximants (1, Theorem 5.2) and selfadjoint approximants (2, Corollary 3.3); it also answers analogous questions for best approximation by selfadjoint and nonnegative contractions. Halmos (4) suggests consideration of nonnegative contractions. It appears that the proof of the main theorem has isolated the precise ingredients for establishing such results. Perhaps greater clarity is a con- sequence. To eliminate trivialities it is assumed, henceforth, that A contains at least two points. 2. Preliminaries. Before the main theorem is proved, consideration is given to the hypothesis which is responsible for limiting A. The appropriateness of this hypothesis will be clear from the proof of the main theorem. If Q is some orthogonal projection on H, then QT\QH is the compression of F to QH.

2 citations

Journal Article•10.1007/BF00401934•
Two space scattering theory using the subspace of continuity

[...]

Martin Schechter1•
Yeshiva University1
01 Nov 1979-Letters in Mathematical Physics
TL;DR: In this paper, the completeness of the wave operators between pairs of spaces not using the subspace of absolute continuity was studied and sufficient conditions that the singular continuous spectrum be absent.
Abstract: We study completeness of the wave operators between pairs of spaces not using the subspace of absolute continuity. Rather we work with the orthogonal complement of the eigenvectors, a subspace which is more natural from the viewpoint of physics. Moreover, we also give sufficient conditions that the singular continuous spectrum be absent. In this case the subspaces mentioned above coincide.

1 citations

Tools

SciSpace AgentBiomedical AgentSciSpace RecruitSciSpace for EnterpriseAgent GalleryChat with PDFLiterature ReviewAI WriterFind TopicsParaphraserCitation GeneratorExtract DataAI DetectorCitation Booster

Learn

ResourcesLive Workshops

SciSpace

CareersSupportBrowse PapersPricingSciSpace Affiliate ProgramCancellation & Refund PolicyTermsPrivacyData Sources

Directories

PapersTopicsJournalsAuthorsConferencesInstitutionsCitation StylesWriting templates

Extension & Apps

SciSpace Chrome ExtensionSciSpace Mobile App

Contact

support@scispace.com
SciSpace

© 2026 | PubGenius Inc. | Suite # 217 691 S Milpitas Blvd Milpitas CA 95035, USA

soc2
Secured by Delve