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arXiv 0906.0112math.CA
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稀疏集的极大算子和微分定理

Maximal operators and differentiation theorems for sparse sets

Izabella Laba, Malabika Pramanik

摘要:

研究了$\rr$上与奇异测度相关的极大平均。我们的主要结果是构造了豪斯多夫维数$1 - ε$,$0 \leq ε< {1/3}$集合上的奇异Cantor型测度,其中相应的极大算子在$L^p(\mathbb R)$上有界,对于$p > (1 + ε)/(1 - ε)$ .因此,我们能够回答一个问题的Aversa和Preiss密度和微分定理在一维。我们的证明结合概率技术与多维欧几里德调和分析的方法,特别是有很强的相似性,布尔甘的证明在两个维度的循环极大值定理。更新:安德烈亚斯·西格(Andreas Seeger)提供了一个论点,大意是我们的整体极大算子实际上对所有p>1都在L^p(R)上有界;特别地,我们的微分定理对所有p>1也有效。此外,戴维·普赖斯(David Preiss)已经证明,没有这样的微分定理(更不用说最大估计)可以在p=1时成立。新版本中包含了这些参数。我们还在一些地方改进了展览。

英文摘要:

We study maximal averages associated with singular measures on $\rr$. Our main result is a construction of singular Cantor-type measures supported on sets of Hausdorff dimension $1 - ε$, $0 \leq ε< {1/3}$ for which the corresponding maximal operators are bounded on $L^p(\mathbb R)$ for $p > (1 + ε)/(1 - ε)$. As a consequence, we are able to answer a question of Aversa and Preiss on density and differentiation theorems in one dimension. Our proof combines probabilistic techniques with the methods developed in multidimensional Euclidean harmonic analysis, in particular there are strong similarities to Bourgain's proof of the circular maximal theorem in two dimensions. Updates: Andreas Seeger has provided an argument to the effect that our global maximal operators are in fact bounded on L^p(R) for all p>1; in particular, it follows that our differentiation theorems are also valid for all p>1. Furthermore, David Preiss has proved that no such differentiation theorems (let alone maximal estimates) can hold with p=1. These arguments are included in the new version. We have also improved the exposition in a number of places.

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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