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arXiv 2304.04887math.PR
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鞅的中心极限定理-II:弱对偶拓扑下的收敛性(含更正)

Central limit theorems for martingales-II: convergence in the weak dual topology, with corrections

GERAD and Department of Decision Sciences, HEC Montréal(GERAD与HEC蒙特利尔大学决策科学系);Department of Decision Sciences, HEC Montréal(HEC蒙特利尔大学决策科学系)

Bruno N. Remillard, Jean Vaillancourt

AI总结:

该研究在弱于常用Skorohod拓扑的条件下,得到了càdlàg轨道鞅在希尔伯特空间弱对偶拓扑下的收敛定理,验证了条件易用性及在带间断随机过程混合极限场景下的实用价值。

摘要:

本文在希尔伯特空间上的弱对偶拓扑意义下,得到了具有càdlàg轨道(右连续且处处存在左极限)的鞅的收敛定理,所需条件远弱于任何常用Skorohod拓扑所要求的条件。文中提供了示例,表明这些条件也极易验证,且能得到有用的渐近结果,尤其是当极限为带间断的随机过程的混合时。

英文摘要:

A convergence theorem for martingales with càdlàg trajectories (right continuous with left limits everywhere) is obtained in the sense of the weak dual topology on Hilbert space, under conditions that are much weaker than those required for any of the usual Skorohod topologies. Examples are provided to show that these conditions are also very easy to check and yield useful asymptotic results, especially when the limit is a mixture of stochastic processes with discontinuities.

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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