2014
DOI: 10.2139/ssrn.2461722
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On Characterization of Locally L0-Convex Topologies Induced by a Family of L0-Seminorms

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Cited by 5 publications
(2 citation statements)
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“…Remark 5.8. It is easy to see that the notion of a cyclic set includes as a special case the notion of a set having the relative countable concatenation property (also called a relatively σ-stable set, introduced independently in [44,46]). It is also obvious that the notion of a cyclic set is weaker than the notion of a universally complete set, and it is the latter that is frequently used in the study of related issues, so here we do not intend to make too much discussion about the notion of a cyclic set.…”
Section: On Universal Completeness and B-stabilitymentioning
confidence: 99%
See 1 more Smart Citation
“…Remark 5.8. It is easy to see that the notion of a cyclic set includes as a special case the notion of a set having the relative countable concatenation property (also called a relatively σ-stable set, introduced independently in [44,46]). It is also obvious that the notion of a cyclic set is weaker than the notion of a universally complete set, and it is the latter that is frequently used in the study of related issues, so here we do not intend to make too much discussion about the notion of a cyclic set.…”
Section: On Universal Completeness and B-stabilitymentioning
confidence: 99%
“…In 2009, locally L 0 -convex modules were introduced in [5] in order to establish a generalized convex analysis suitable for the study of conditional convex risk measures. With the notion of a locally L 0 -convex module, the locally L 0 -convex topology for a random locally convex module was also presented in [5], it is later showed independently in [44] and in [46]that the truly useful part of the theory of a locally L 0 -convex module amounts to the theory of a random locally convex module endowed with the locally L 0 -convex topology. The (ε, λ)-topology is an abstract generalization of the usual topology of convergence in probability measure and has been widely used in functional analysis, probability theory and mathematical finance.…”
Section: Introductionmentioning
confidence: 99%