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arXiv 2401.13626math.DSmath.CA
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主导平面自仿集的局部维数谱

Local dimension spectrum for dominated planar self-affine sets

Alex Batsis, Antti Käenmäki, Tom Kempton

AI总结:

本文研究主导平面自仿集的局部维数谱,通过精确维数分析扩展了该谱的应用范围,超越了传统几乎必然设置。

摘要:

局部维数谱提供了一个量化测度分形性质的框架,并且在非重叠自相似测度中已被深入理解。本文研究了主导自仿测度的局部维数谱。通过分析精确维数性,我们获得了扩展局部维数谱范围的确定性结果,使其超越了几乎必然设置。

英文摘要:

The local dimension spectrum provides a framework for quantifying the fractal properties of a measure, and it is well understood for non-overlapping self-similar measures. In this article, we study the local dimension spectrum for dominated self-affine measures. By analyzing exact dimensionality, we obtain deterministic results that extend the scope of the local dimension spectrum beyond the almost-sure setting.

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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