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Article . 2025
Data sources: zbMATH Open
https://dx.doi.org/10.48550/ar...
Article . 2023
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Uniform integrability in vector lattices and applications

Authors: Azouzi, Youssef;

Uniform integrability in vector lattices and applications

Abstract

In this paper, we explore an abstraction of uniform integrability in vector lattices and demonstrate its application by providing a positive solution to an open question posed by Kuo, Rodda, and Watson [Proc. Amer. Math. Soc. 147 (2019), pp. 1597–1603]. Specifically, we show that for every p ∈ ( 1 , ∞ ) p\in (1,\infty ) and with T T as a conditionally expectation operator, spaces L p ( T ) L^{p}\left ( T\right ) are sequentially complete. Furthermore, we demonstrate that a de La Vallé Poussin Theorem does not hold in the general setting of vector lattices.

Keywords

\(L^p\)-limit theorems, Mathematics - Functional Analysis, conditional expectation operator, FOS: Mathematics, sequential completeness, \(L^p\)-spaces, 06F20, vector lattices, uniform integrability, Ordered topological linear spaces, vector lattices, Functional Analysis (math.FA)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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