2009
DOI: 10.1016/j.na.2009.02.038
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A basic strict separation theorem in random locally convex modules

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Cited by 36 publications
(62 citation statements)
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“…The notion of a random locally convex module was first introduced in [18] and deeply developed under the (ε, λ)-topology in [19,20] for the further development of the theory of R N modules. In 2009, motivated by financial applications, Filipović, Kupper and Vogelpoth presented in [21] a new topology (called the locally L 0 -convex topology) for a random locally convex module and proved that the theory of a Hausdorff locally L 0 -convex module introduced in [21] is equivalent to the theory of a random locally convex module endowed with the locally L 0 -convex topology.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…The notion of a random locally convex module was first introduced in [18] and deeply developed under the (ε, λ)-topology in [19,20] for the further development of the theory of R N modules. In 2009, motivated by financial applications, Filipović, Kupper and Vogelpoth presented in [21] a new topology (called the locally L 0 -convex topology) for a random locally convex module and proved that the theory of a Hausdorff locally L 0 -convex module introduced in [21] is equivalent to the theory of a random locally convex module endowed with the locally L 0 -convex topology.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Lemma 3.2 [21] . Let (S, {X d } d∈D ) be a random locally convex module over K with base (Ω, A, μ),p ∈ S, A ⊂ S a closed M -convex set, and p ∈ A.…”
Section: Definition 36 Let (S {X D } D∈d ) Be a Random Locally Conmentioning
confidence: 99%
“…Further, Guo introduced the notions of random normed modules (a special class of random normed spaces) and random inner product modules in [11,12,44] (here, we also mention the work [34] of Haydon, et.al, who independently introduced the notion of random normed modules over the real number field in the name of randomly normed L 0 -modules, as a tool for the study of ultrapowers of Lebesgue-Bochner function spaces), which leads to a series of deep developments of random conjugate spaces [13,14,17,21,26] (here, we also mention the famous work [33] of Hansen and Richard, who independently proved the Riesz representation theorem of random conjugate spaces for a class of special complete random inner product modules-conditional Hilbert spaces, and gave its applications in representing the equilibrium price). As a random generalization of a locally convex space, random locally convex modules were introduced by Guo in [16] and deeply developed in [20,22,24]. It should be pointed out that random functional analysis was developed under the (ε, λ)-topology before 2009.…”
Section: Introductionmentioning
confidence: 99%