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Further results on A-numerical radius inequalities

Let A be a bounded linear positive operator on a complex Hilbert space [Formula: see text] Furthermore, let [Formula: see text] denote the set of all bounded linear operators on [Formula: see text] whose A-adjoint exists, and [Formula: see text] signify a diagonal operator matrix with diagonal entri...

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Autores principales: Rout, Nirmal Chandra, Mishra, Debasisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646354/
http://dx.doi.org/10.1007/s43034-021-00156-3
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author Rout, Nirmal Chandra
Mishra, Debasisha
author_facet Rout, Nirmal Chandra
Mishra, Debasisha
author_sort Rout, Nirmal Chandra
collection PubMed
description Let A be a bounded linear positive operator on a complex Hilbert space [Formula: see text] Furthermore, let [Formula: see text] denote the set of all bounded linear operators on [Formula: see text] whose A-adjoint exists, and [Formula: see text] signify a diagonal operator matrix with diagonal entries are A. Very recently, several [Formula: see text] -numerical radius inequalities of [Formula: see text] operator matrices were established. In this paper, we prove a few new [Formula: see text] -numerical radius inequalities for [Formula: see text] and [Formula: see text] operator matrices. We also provide a new proof of an existing result by relaxing a sufficient condition “A is strictly positive”. Our proofs show the importance of the theory of the Moore–Penrose inverse of a bounded linear operator in this field of study.
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spelling pubmed-86463542021-12-06 Further results on A-numerical radius inequalities Rout, Nirmal Chandra Mishra, Debasisha Ann. Funct. Anal. Original Paper Let A be a bounded linear positive operator on a complex Hilbert space [Formula: see text] Furthermore, let [Formula: see text] denote the set of all bounded linear operators on [Formula: see text] whose A-adjoint exists, and [Formula: see text] signify a diagonal operator matrix with diagonal entries are A. Very recently, several [Formula: see text] -numerical radius inequalities of [Formula: see text] operator matrices were established. In this paper, we prove a few new [Formula: see text] -numerical radius inequalities for [Formula: see text] and [Formula: see text] operator matrices. We also provide a new proof of an existing result by relaxing a sufficient condition “A is strictly positive”. Our proofs show the importance of the theory of the Moore–Penrose inverse of a bounded linear operator in this field of study. Springer International Publishing 2021-12-06 2022 /pmc/articles/PMC8646354/ http://dx.doi.org/10.1007/s43034-021-00156-3 Text en © Tusi Mathematical Research Group (TMRG) 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Rout, Nirmal Chandra
Mishra, Debasisha
Further results on A-numerical radius inequalities
title Further results on A-numerical radius inequalities
title_full Further results on A-numerical radius inequalities
title_fullStr Further results on A-numerical radius inequalities
title_full_unstemmed Further results on A-numerical radius inequalities
title_short Further results on A-numerical radius inequalities
title_sort further results on a-numerical radius inequalities
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646354/
http://dx.doi.org/10.1007/s43034-021-00156-3
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