Convergences of Random Variables Under Sublinear Expectations

Citation:

Zechun HU,Qianqian ZHOU.Convergences of Random Variables Under Sublinear Expectations[J].Chinese Annals of Mathematics B,2019,40(1):39~54
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Authors:

Zechun HU; Qianqian ZHOU

Foundation:

This work was supported by the National Natural Science Foundation of China (No.11771309) and the Fundamental Research Funds for the Central Universities of China.
Abstract: In this note, the authors survey the existing convergence results for random variables under sublinear expectations, and prove some new results. Concretely, under the assumption that the sublinear expectation has the monotone continuity property, the authors prove that convergence in capacity is stronger than convergence in distribution, and give some equivalent characterizations of convergence in distribution. In addition, they give a dominated convergence theorem under sublinear expectations, which may have its own interest.

Keywords:

Sublinear expectation, Capacity, The dominated convergence theorem

Classification:

60J45, 60G51
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