1992
DOI: 10.1007/bf02764803
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A counterexample on numberical radius attaining operators

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Cited by 27 publications
(30 citation statements)
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“…On the other hand, some attention has been paid to the study of denseness of numerical radius attaining mappings (see, for instance, [1,4,5,13,16,18,24]) as a parallel question for the norm. We now look more closely at such mappings and investigate whether they attain their norms or numerical radii at extreme points.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, some attention has been paid to the study of denseness of numerical radius attaining mappings (see, for instance, [1,4,5,13,16,18,24]) as a parallel question for the norm. We now look more closely at such mappings and investigate whether they attain their norms or numerical radii at extreme points.…”
Section: Introductionmentioning
confidence: 99%
“…Among the positive results on this topic, we would like to mention that the set of numerical radius attaining operators is dense for Banach spaces with the Radon-Nikodým property (M. Acosta and R. Payá [5]) and for L 1 (µ) spaces (M. Acosta [1]) and C(K) spaces (C. Cardassi [11]). On the other hand, the first example of Banach space for which the set of numerical radius attaining operators is not dense was given by R. Payá in 1992 [26]. Another counterexample was discovered shortly later by M. Acosta, F. Aguirre and R. Payá [4].…”
Section: It Is Clear That V Is a Continuous Seminorm Which Satisfies mentioning
confidence: 99%
“…We will make use of the following lemma from [26], which we state for the convenience of the reader. …”
Section: The Examplementioning
confidence: 99%
“…Extensive work has been developed over recent years for classical numerical radius attaining operators (see [1,4,12,16] and the references therein). In Theorem 3.2 we generalize, for the context of convex numerical radius, the following version of James's theorem for numerical radius [2, Theorem 1]: if every rank-one operator on E attains its numerical radius, then E is reflexive.…”
Section: Operators That Attain the Convex Numerical Radiusmentioning
confidence: 99%