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arXiv 2009.00336math.CA
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稀疏支配的度量方法

A metric approach to sparse domination

José M. Conde Alonso, Francesco Di Plinio, Ioannis Parissis, Manasa N. Vempati

AI总结:

本文提出一种基于单尺度$L^p$改进的稀疏支配一般方法,在齐型度量空间中避免二进概率技术,应用于Dini连续核、Fourier衰减测度卷积极大函数及多项式子流形Radon变换,获得稀疏界。

摘要:

我们提出了一种基于单尺度$L^p$改进作为关键性质的稀疏支配的一般方法。结果在齐型度量空间的框架下表述,完全避免使用二进概率技术以及Christ-Hytönen-Kairema立方体。在我们的一般原理的应用中,我们恢复了齐型空间上Dini连续的Calderón-Zygmund核的稀疏支配,证明了与具有Fourier衰减的测度卷积相关的极大函数的一族稀疏界,并推导了沿$\nmathbb R^n$多项式子流形的Radon变换的稀疏估计。

英文摘要:

We present a general approach to sparse domination based on single-scale $L^p$-improving as a key property. The results are formulated in the setting of metric spaces of homogeneous type and avoid completely the use of dyadic-probabilistic techniques as well as of Christ-Hytönen-Kairema cubes. Among the applications of our general principle, we recover sparse domination of Dini-continuous Calderón-Zygmund kernels on spaces of homogeneous type, we prove a family of sparse bounds for maximal functions associated to convolutions with measures exhibiting Fourier decay, and we deduce sparse estimates for Radon transforms along polynomial submanifolds of $\mathbb R^n$.

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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