Random convex analysis (II): continuity and subdifferentiability theorems in L0--pre--barreled random locally convex modules
Abstract
In this paper, we continue to study random convex analysis. First, we introduce the notion of an L0--pre--barreled module. Then, we develop the theory of random duality under the framework of a random locally convex module endowed with the locally L0--convex topology in order to establish a characterization for a random locally convex module to be L0--pre--barreled, in particular we prove that the model space LpF(E) employed in the module approach to conditional risk measures is L0--pre--barreled, which forms the most difficult part of this paper. Finally, we prove the continuity and subdifferentiability theorems for a proper lower semicontinuous L0--convex function on an L0--pre--barreled random locally convex module. So the principal results of this paper may be well suited to the study of continuity and subdifferentiability for L0--convex conditional risk measures.
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