Skip to content
Research Article Open access CC BY 4.0

On Characterization of Norm Attaining Operators in Frechet Spaces

Vashti Bernice, Amos Wanjara, Michael Ojiema

Journal of Advances in Mathematics and Computer Science · pp. 48–58 · Published 25 Oct 2022

10.9734/jamcs/2022/v37i91713

Abstract

In this paper, the norm attaining operators in Frechet spaces are considered. These operators are characterized based on their density, normality, linearity and compactness. It is shown that the image is dense for a normal and injective operator in a Frechet space, as well as its inverse given that the operator is self-adjoint. A norm attaining operator in a Frechet space is also shown to be normal if its adjoint also attains its norm in the Frechet space, and the condition under which the norm attainability and the normality of an operator in a Frechet space coincides is given. Furthermore, a norm attaining operator between Frechet spaces is linear and bounded as well as its inverse. If a norm attaining, normal and dense operator is of finite rank, then it is compact. The study of norm attaining operators is applicable in algorithm concentration as seen in describing sphere packing.

Norm attaining operator Frechet space Characterization

References (12)

  1. 1 A proof that every Banach space is subreflexive [DOI]
  2. 2 On operators which attain their norm [DOI]
  3. 3 Norm attaining operators [DOI]
  4. 4 Denseness of norm attaining mappings
  5. 5 SPRINGER INTERNATIONAL PUBLISHING AG, PART OF SPRINGER NATURE 2018
  6. 6 Norm-attaining compact operators [DOI]
  7. 7 On absolutely norm attaining operators [DOI]
  8. 8 The Norm Attainability Of Some Elementary Operators
  9. 9 Dentability and the Radon-Nikodým property [DOI]
  10. 10 The Bishop–Phelps Theorem Fails for Uniform Non-selfadjoint Dual Operator Algebras [DOI]
  11. 11 On Norm-Attainable Operators in Banach Spaces [DOI]
  12. 12 On denseness of similarity orbits of norm-attainable operators

Cited by 2

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

25

Page views

0

PDF downloads

4

Outbound clicks

2

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.