On a set of norm attaining operators and the strong Birkhoff-James orthogonality
Geunsu Choi, Mingu Jung, Sun Kwang Kim

TL;DR
This paper introduces a weaker version of the Bhatia-eemrl property for operators, studies its density in various classical spaces, and compares it with the original property in the context of norm attainment and orthogonality.
Contribution
It defines the adjusted Bhatia-eemrl property, analyzes its density in classical Banach spaces, and contrasts it with the original property regarding norm attainment and orthogonality.
Findings
The adjusted Bhatia-eemrl property is norm-dense in $c_0$ and $L_1[0,1]$ spaces.
The set of functionals with the adjusted property on $C[0,1]$ is not norm-dense but is weak-* dense in $C(K)^*$.
The set of operators with the adjusted property is contained within the norm-attaining operators.
Abstract
Continuing the study of recent results on the Birkhoff-James orthogonality and the norm attainment of operators, we introduce a property namely the adjusted Bhatia-\v{S}emrl property for operators which is weaker than the Bhatia-\v{S}emrl property. The set of operators with the adjusted Bhatia-\v{S}emrl property is contained in the set of norm attaining ones as it was in the case of the Bhatia-\v{S}emrl property. It is known that the set of operators with the Bhatia-\v{S}emrl property is norm-dense if the domain space of the operators has the Radon-Nikod\'ym property like finite dimensional spaces, but it is not norm-dense for some classical spaces such as , and . In contrast with the Bhatia-\v{S}emrl property, we show that the set of operators with the adjusted Bhatia-\v{S}emrl property is norm-dense when the domain space is or . Moreover, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptimization and Variational Analysis · Fuzzy and Soft Set Theory · Advanced Algebra and Logic
