Komlós Theorem for Unbounded Random Sets

被引:0
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作者
G. Krupa
机构
[1] The Catholic University of Lublin,Faculty of Mathematics and Nature
来源
Set-Valued Analysis | 2000年 / 8卷
关键词
set convergence; Mosco convergence; Komlós theorem; strong law of large numbers; unbounded random sets; normal integrands;
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摘要
We present the Komlós theorem for multivalued functions whose values are closed (possibly unbounded) convex subsets of a separable Banach space. Komlós theorem can be seen as a generalization of the SLLN for it deals with a sequence of integrable multivalued functions that do not have to be identically distributed nor independent. The Artstein–Hart SLLN for random sets with values in Euclidean spaces is derived from the main result. Finally, since the main theorem concerns multifunctions whose values are allowed to be unbounded, we can restate it in terms of normal integrands (random lower semicontinuous functions).
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页码:237 / 251
页数:14
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