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arXiv 2008.04474math.DSmath.CA
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Cantor测度的密度谱

Density spectrum of Cantor measure

Pieter Allaart, Derong Kong

AI总结:

本文研究了Cantor测度的逐点密度谱,通过引入涉及倍增映射的等价二进版本,结合开放动力系统熵与调谐概念,完整刻画了上下密度取值集合及其水平集的Hausdorff维数。

摘要:

给定$ρ\in(0, 1/3]$,令$μ$为满足$μ=\frac{1}{2}μf_0^{-1}+\frac{1}{2}μf_1^{-1}$的Cantor测度,其中$f_i(x)=ρx+i(1-ρ)$,$i=0, 1$。$μ$的支撑集为由迭代函数系统$\{f_0, f_1\}$生成的Cantor集$C$。继续Feng等人(2000年)关于逐点下密度和上密度的工作:$Θ_*^s(μ, x)=\liminf_{r\to 0}\frac{μ(B(x,r))}{(2r)^s}$,$Θ^{*s}(μ, x)=\limsup_{r\to 0}\frac{μ(B(x,r))}{(2r)^s}$,其中$s=-\log 2/\logρ$是$C$的Hausdorff维数,我们对分别由下密度和上密度的所有可能取值组成的集合$D_*$和$D^*$给出了完整描述。我们证明了这两个集合均包含无穷多个孤立点和无穷多个聚点,且它们与Cantor集$C$具有相同的Hausdorff维数。此外,我们计算了下密度和上密度水平集的Hausdorff维数。我们的方法包括提出该问题的一个涉及$[0,1)$上倍增映射的等价“二进”版本,并利用关于某类开放动力系统熵的已知结论和调谐概念对其进行求解。

英文摘要:

Given $ρ\in(0, 1/3]$, let $μ$ be the Cantor measure satisfying $μ=\frac{1}{2}μf_0^{-1}+\frac{1}{2}μf_1^{-1}$, where $f_i(x)=ρx+i(1-ρ)$ for $i=0, 1$. The support of $μ$ is a Cantor set $C$ generated by the iterated function system $\{f_0, f_1\}$. Continuing the work of Feng et al. (2000) on the pointwise lower and upper densities \[ Θ_*^s(μ, x)=\liminf_{r\to 0}\frac{μ(B(x,r))}{(2r)^s},\qquad Θ^{*s}(μ, x)=\limsup_{r\to 0}\frac{μ(B(x,r))}{(2r)^s}, \] where $s=-\log 2/\logρ$ is the Hausdorff dimension of $C$, we give a complete description of the sets $D_*$ and $D^*$ consisting of all possible values of the lower and upper densities, respectively. We show that both sets contain infinitely many isolated and infinitely many accumulation points, and they have the same Hausdorff dimension as the Cantor set $C$. Furthermore, we compute the Hausdorff dimension of the level sets of the lower and upper densities. Our method consists in formulating an equivalent ``dyadic" version of the problem involving the doubling map on $[0,1)$, which we solve by using known results on the entropy of a certain open dynamical system and the notion of tuning.

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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