Abstract
This paper constructs a counterexample showing that not every locally --convex topology is necessarily induced by a family of --seminorms. Random convex analysis is the analytic foundation for --convex conditional risk measures, this counterexample, however, shows that a locally --convex module is not a proper framework for random convex analysis. Further, this paper also gives a necessary and sufficient condition for a locally --convex topology to be induced by a family of --seminorms. Finally, we give some comments showing that based on random locally convex modules, we can establish a perfect random convex analysis to meet the needs of the study of --convex conditional risk measures.
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