2013
DOI: 10.1016/j.laa.2013.02.002
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On the convex hull generated by orbit of operators

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Cited by 18 publications
(37 citation statements)
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“…We next apply the previous proposition to infinite diagonal operators where A is the set of all convex polynomials. This extends the finite dimensional matrix result given by Rezaei [23,Corollary 2.7] to infinite dimensional diagonal matrices. are distinct and for every k ≥ 1 we have that λ k < −1.…”
Section: Diagonal Operators and Adjoint Multiplication Operatorssupporting
confidence: 78%
See 1 more Smart Citation
“…We next apply the previous proposition to infinite diagonal operators where A is the set of all convex polynomials. This extends the finite dimensional matrix result given by Rezaei [23,Corollary 2.7] to infinite dimensional diagonal matrices. are distinct and for every k ≥ 1 we have that λ k < −1.…”
Section: Diagonal Operators and Adjoint Multiplication Operatorssupporting
confidence: 78%
“…In [23] Rezaei asks the following question: Question 1. [23,Question 5.4] Is every convex-cyclic operator acting on an infinite dimensional Banach space weakly hypercyclic?…”
Section: Introductionmentioning
confidence: 99%
“…, , and 0 + 1 +⋅ ⋅ ⋅+ = 1. We will focus our attention on the notion of convex cyclicity introduced by Rezaei in [3]. An operator is said to be convex cyclic if there exists a vector ∈ such that the real convex hull of the orbit (denoted by co(Orb( , ))) co (Orb ( , )) = { ( ) : convex polynomial} (2) is dense in .…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…In [3] are characterized the convex-cyclic matrices in finite dimension, and the author develops the main properties in the infinite dimensional setting.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…We are interested in operators that are convex-cyclic (Bermúdez, Bonilla, Feldman [1], León-Saavedra and Romero de la Rosa [7], Rezaei [8]). An operator T on the space X is called convex-cyclic if there is a vector x ∈ X such that the convex hull of its orbit is dense in X.…”
Section: Introductionmentioning
confidence: 99%