A comprehensive connection between the basic results and properties derived from two kinds of topologies for a random locally convex module
Tiexin Guo

TL;DR
This paper bridges the gap between two topologies in random locally convex modules, simplifying proofs, establishing key relations, and extending deep results to enhance financial applications.
Contribution
It provides a simple proof of the Hahn-Banach theorem, relates separation theorems under two topologies, and shows deep results remain valid under the stronger topology, enriching financial applications.
Findings
Equivalence of completeness under two topologies for modules with the countable concatenation property
Deep results of random conjugate spaces are valid under the locally L^0-topology
Simplified proof of the Hahn-Banach extension theorem for L^0-linear functions
Abstract
The purpose of this paper is to make a comprehensive connection between the basic results and properties derived from the two kinds of topologies (namely the topology introduced by the author and the stronger locally convex topology recently introduced by Filipovi et. al) for a random locally convex module. First, we give an extremely simple proof of the known Hahn-Banach extension theorem of linear functions as well as its continuous variants. Then we give the essential relations between the hyperplane separation theorems in [Filipovi et. al, J. Funct. Anal.256(2009)3996--4029] and a basic strict separation theorem in [Guo et. al, Nonlinear Anal. 71(2009)3794--3804]: in the process obtain a useful and surprising fact that a random locally convex module with the countable concatenation property must have the same completeness…
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Taxonomy
TopicsFuzzy Systems and Optimization · Risk and Portfolio Optimization · Optimization and Variational Analysis
