In this paper, we continue to study random convex analysis. First, we introduce the notion of an –pre–barreled module. Then, we develop the theory of random duality under the framework of a random locally convex module endowed with the locally –convex topology in order to establish a characterization for a random locally convex module to be –pre–barreled, in particular we prove that the model space employed in the module approach to conditional risk measures is –pre–barreled, which forms the most difficult part of this paper. Finally, we prove the continuity and subdifferentiability theorems for a proper lower semicontinuous –convex function on an –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 –convex conditional risk measures.

生成讲解博客的中文版本

生成AI智能校验的中文版本