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Supports of Extremal Doubly Stochastic Measures

机译:极端双重随机指标的支持

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A doubly stochastic measure on the unit square is a Borel probability measure whose horizontal and vertical marginals both coincide with the Lebesgue measure. The set of doubly stochastic measuresis convex and compact so itsextremal points are of particular interest. The problem number 111of Birkhoff (Lattice Theory 1948) is to provide a necessary and sufficient condition on the support of a doubly stochastic measure to guarantee extremality. It was proved by Bene? and ?t?pán that an extremal doubly stochastic measure is concentratedon a set which admits an aperiodic decomposition. Hestir and Williams later found a necessary condition whichis nearly sufficient by further refining the aperiodic structure of the support of extremaldoubly stochastic measures.Our objective in this work is to provide a more practical necessary and nearly sufficientcondition for a set to support an extremal doubly stochasticmeasure.
机译:单位平方上的双随机量度是Borel概率量度,其水平和垂直边际均与Lebesgue量度一致。这组双重随机测度是凸且紧的,因此其极值点特别受关注。伯克霍夫的第111个问题(莱迪思理论,1948年)旨在提供双重必要的措施来保证极端,从而提供了充要条件。贝内证明了吗?并且?t?pán表示极端的双重随机测度集中在一个允许非周期性分解的集合上。 Hestir和Williams后来通过进一步完善极端随机性措施的支持的非周期性结构找到了一个几乎足够的必要条件。我们在这项工作中的目标是为一套支持极端双重随机性措施的设置提供更实际的必要和几乎充分条件。

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