$L^0$--convex compactness and random normal structure in $L^0(\mathcal{F},B)$
Tiexin Guo, Erxin Zhang, Yachao Wang, George Yuan

TL;DR
This paper investigates the properties of $L^0(, B)$ spaces, establishing conditions for $L^0$-convex compactness and random normal structure based on the weak compactness of subsets in Banach spaces, and applies these results to fixed point theorems.
Contribution
It proves that $L^0$-convex compactness and random normal structure in $L^0(, B)$ are characterized by weak compactness and normal structure in the Banach space $V$, introducing new methods combining measurable selection and Banach space techniques.
Findings
$L^0$-convexly compact if and only if $V$ is weakly compact.
$L^0(,V)$ has random normal structure if $V$ is weakly compact and has normal structure.
Established a general random fixed point theorem for strong random nonexpansive operators.
Abstract
Let be a Banach space, a probability space and the set of equivalence classes of strong random elements (or strongly measurable functions) from to . It is well known that becomes a complete random normed module, which has played an important role in the process of applications of random normed modules to the theory of Lebesgue--Bochner function spaces and random functional analysis. Let be a closed convex subset of and the set of equivalence classes of strong random elements from to , the central purpose of this paper is to prove the following two results: (1). is --convexly compact if and only if is weakly compact; (2). has random normal structure…
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Taxonomy
TopicsRisk and Portfolio Optimization · Optimization and Variational Analysis · Advanced Banach Space Theory
