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arXiv 0902.0680math.DSmath.CA

齐次膨胀的遍历定理

Ergodic Theorems for Homogeneous Dilations

Chalmers University of Technology(查尔姆斯理工大学);University of Gothenburg(哥德堡大学)

Michael Björklund

AI总结:

本文针对傅里叶维数大于1的紧支撑概率测度,证明了齐次膨胀平均的几乎处处遍历定理,结合Rubio de Francia极大定理与传递论证,并应用于弯曲超曲面及Salem集承载的平均测度。

摘要:

设 $\nu$ 为 $\R^d$ 上具有傅里叶维数大于 1 的紧支撑概率测度。我们证明了在遍历保测 $\R^d$ 作用下,相应膨胀平均的几乎处处遍历定理。若 $a=\dimF\nu$,则结果在 $L^p$ 上对 $1+1/a<p<\infty$ 成立。证明结合了 Rubio de Francia 的欧几里得极大定理、传递论证以及通过远离原点的谱局部化得到的稠密类。应用包括弯曲超曲面和由 Salem 集承载的平均测度,包括布朗像和显式丢番图构造。

英文摘要:

Let $ν$ be a compactly supported probability measure on $\R^d$ with Fourier dimension greater than one. We prove an almost-everywhere ergodic theorem for the corresponding dilated averages under ergodic measure-preserving $\R^d$-actions. If $a=\dimFν$, the result holds on $L^p$ for $1+1/a<p<\infty$. The proof combines Rubio de Francia's Euclidean maximal theorem with a transference argument and a dense class obtained by spectral localization away from the origin. Applications include curved hypersurfaces and averaging measures carried by Salem sets, including Brownian images and explicit Diophantine constructions.

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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