Convexification in the limit and strong law of large numbers for closed-valued random sets in Banach spaces
Francesco S. de Blasi, Luca Tomassini

TL;DR
This paper establishes a strong law of large numbers for bounded, closed-valued random sets in Banach spaces using Fisher's convergence, which is stronger than Wijsman's but not comparable to Mosco's convergence.
Contribution
It introduces a strong law of large numbers for random sets in Banach spaces utilizing Fisher's convergence, extending previous results to non-separable spaces.
Findings
Proves a strong law of large numbers for random sets in Banach spaces.
Uses Fisher's convergence, a stronger set convergence notion.
Applicable to non-separable Banach spaces.
Abstract
We prove a strong law of large numbers for random sets with bounded and closed values contained in an arbitrary (not necessarily separable) Banach space. We make use of a notion of convergence of sets introduced by Fisher, which is stronger than Wijsman's convergence but in general not comparable with Mosco's convergence.
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Taxonomy
TopicsFuzzy Systems and Optimization · Functional Equations Stability Results · Advanced Banach Space Theory
