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arXiv 0709.2730math.FAmath.OCmath.PR
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凸- compactness及其应用

Convex-compactness and its applications

Gordan Zitkovic

摘要:

引入并讨论了弱于经典紧性概念的凸紧性概念。它表明,一大类拓扑向量空间的凸子集共享此属性,这是可以用来代替紧在各种情况下。具体地说,我们建立了凸紧性的某些熟悉类的子集的正随机变量集的拓扑结构下的依概率收敛。两个应用在无穷维优化-达到infima和一个版本的极小极大定理-给出。此外,一个新的不动点定理的Knaster-Kuratowski-Mazurkiewicz型的推导和使用证明的一般版本的瓦尔拉斯超额需求定理。

英文摘要:

The concept of convex compactness, weaker than the classical notion of compactness, is introduced and discussed. It is shown that a large class of convex subsets of topological vector spaces shares this property and that is can be used in lieu of compactness in a variety of cases. Specifically, we establish convex compactness for certain familiar classes of subsets of the set of positive random variables under the topology induced by convergence in probability. Two applications in infinite-dimensional optimization - attainment of infima and a version of the Minimax theorem - are given. Moreover, a new fixed-point theorem of the Knaster-Kuratowski-Mazurkiewicz-type is derived and used to prove a general version of the Walrasian excess-demand theorem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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