Abstract
Let be the vector space of all (equivalence classes of) real-valued random variables built over a probability space , equipped with a metric topology compatible with convergence in probability. In this work, we provide a necessary and sufficient structural condition that a set should satisfy in order to infer the existence of a probability that is equivalent to and such that is uniformly -integrable. Furthermore, we connect the previous essentially measure-free version of uniform integrability with local convexity of the -topology when restricted on convex, solid and bounded subsets of .
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