2007
DOI: 10.1016/j.jat.2006.09.001
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Marcinkiewicz–Zygmund inequalities

Abstract: We study a generalization of the classical Marcinkiewicz-Zygmund inequalities. We relate this problem to the sampling sequences in the Paley-Wiener space and by using this analogy we give sharp necessary and sufficient computable conditions for a family of points to satisfy the Marcinkiewicz-Zygmund inequalities.

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Cited by 26 publications
(37 citation statements)
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“…In particular, the theorem of Chui and Zhong to be used in this note can be obtained from a theorem given in [6]. We refer to [9] for the details of this link and to [12], where the connection between Marcinkiewicz-Zygmund inequalities and model spaces was first mentioned explicitly.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, the theorem of Chui and Zhong to be used in this note can be obtained from a theorem given in [6]. We refer to [9] for the details of this link and to [12], where the connection between Marcinkiewicz-Zygmund inequalities and model spaces was first mentioned explicitly.…”
Section: Introductionmentioning
confidence: 99%
“…This leads to the following definition. The precise formulation of the sparsity requirement is expressed in terms of the following Beurling type densities [18]. Definition 1.5.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, it is shown in [18] that if a triangular family is L p -MZ then its lower density has to be greater or equal to 1/2π, and that the converse holds for families with densities greater to 1/2π. The corresponding result for interpolation can be proved without a lot of effort.…”
Section: Introductionmentioning
confidence: 99%
“…This is known as the Marcinkiewicz-Zygmund Theorem: the implied constants depend only on p but tend to ∞ for p tending to 1 or ∞. For the exact form fitting to our Taylor polynomials see Theorem (7.10), p. 30 chapter X in [34]; see also [25] for recent extensions. Inequality (66) then follows using the Marcinkiewicz-Zygmund Theorem twice, and invariance by translation of the L p norm.…”
Section: Bernstein-type Inequalitiesmentioning
confidence: 99%