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arXiv 2211.02434math.PR
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树上相干随机变量和极大算子的Doob估计

Doob's estimate for coherent random variables and maximal operators on trees

Stanisław Cichomski, Adam Osękowski

摘要:

设$ξ$是定义在$(Ω, \mathcal{F}, \mathbb{P})$上的可积随机变量。修复$k\in \mathbb{Z}_+$,并让$\{\mathcal{G}_{i}^{j}\}_{1\le i \le n, 1\le j \le k}$成为$\mathcal{F}$的子$σ$字段的引用族,以便$\{\mathcal{G}_{i}^{j}\}_{1\le i \le n}$是每个$j\in \{1,2,\dots,k\}$的过滤。在这篇文章中,我们解释了相应的相干向量的极大函数的分析和非中心Hardy-Littlewood极大算子的基本组合性质之间的潜在联系。根据Grafakos,Kinnunen和Montgomery Smith的经典方法,我们建立了一个适当的版本的著名的Doob的最大估计。

英文摘要:

Let $ξ$ be an integrable random variable defined on $(Ω, \mathcal{F}, \mathbb{P})$. Fix $k\in \mathbb{Z}_+$ and let $\{\mathcal{G}_{i}^{j}\}_{1\le i \le n, 1\le j \le k}$ be a reference family of sub-$σ$-fields of $\mathcal{F}$, such that $\{\mathcal{G}_{i}^{j}\}_{1\le i \le n}$ is a filtration for each $j\in \{1,2,\dots,k\}$. In this article we explain the underlying connection between the analysis of the maximal functions of the corresponding coherent vector and basic combinatorial properties of the uncentered Hardy-Littlewood maximal operator. Following a classical approach of Grafakos, Kinnunen and Montgomery-Smith, we establish an appropriate version of the celebrated Doob's maximal estimate.

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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