Article (Scientific journals)
Disjoint frequently hypercyclic pseudo-shifts
Martin, Özgür; Menet, Quentin; Puig, Yunied
2022In Journal of Functional Analysis, 283 (1), p. 109474
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Keywords :
Disjoint hypercyclicity; Frequent hypercyclicity; Weighted shift; Analysis
Abstract :
[en] We obtain a Disjoint Frequent Hypercyclicity Criterion and show that it characterizes disjoint frequent hypercyclicity for a family of unilateral pseudo-shifts on c0(N) and ℓp(N), 1≤p<∞. As an application, we characterize disjoint frequently hypercyclic weighted shifts. We give analogous results for the weaker notions of disjoint upper frequent and reiterative hypercyclicity. Finally, we provide counterexamples showing that, although the frequent hypercyclicity, upper frequent hypercyclicity, and reiterative hypercyclicity coincide for weighted shifts on ℓp(N), this equivalence fails for disjoint versions of these notions.
Research center :
CREMMI - Modélisation mathématique et informatique
Disciplines :
Mathematics
Author, co-author :
Martin, Özgür ;  Department of Mathematics, Mimar Sinan Fine Arts University, Istanbul, Turkey
Menet, Quentin  ;  Université de Mons - UMONS > Faculté des Sciences > Service de Probabilité et statistique
Puig, Yunied ;  Department of Mathematics, Claremont McKenna College, Claremont, United States
Language :
English
Title :
Disjoint frequently hypercyclic pseudo-shifts
Publication date :
July 2022
Journal title :
Journal of Functional Analysis
ISSN :
0022-1236
eISSN :
1096-0783
Publisher :
Academic Press Inc.
Volume :
283
Issue :
1
Pages :
109474
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
S844 - Probabilité et statistique
Research institute :
R150 - Institut de Recherche sur les Systèmes Complexes
Funding text :
The first author was partially supported by Mimar Sinan Fine Arts University Scientific Research Project [grant no. 2018-15].The second author is a Research Associate of the Fonds de la Recherche Scientifique - FNRS. This work was supported in part by the project FRONT of the French National Research Agency (grant ANR-17-CE40-0021).
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