Large sets avoiding patterns

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Publication:1747202

DOI10.2140/APDE.2018.11.1083zbMath1388.28006arXiv1609.03105OpenAlexW2519183108WikidataQ129976579 ScholiaQ129976579MaRDI QIDQ1747202

Malabika Pramanik, Robert Fraser

Publication date: 4 May 2018

Published in: Analysis \& PDE (Search for Journal in Brave)

Abstract: We construct subsets of Euclidean space of large Hausdorff dimension and full Minkowski dimension that do not contain nontrivial patterns described by the zero sets of functions. The results are of two types. Given a countable collection of $v$-variate vector-valued functions $f_q : (mathbb{R}^{n})^v o mathbb{R}^m$ satisfying a mild regularity condition, we obtain a subset of $mathbb{R}^n$ of Hausdorff dimension $frac{m}{v-1}$ that avoids the zeros of $f_q$ for every $q$. We also find a set that simultaneously avoids the zero sets of a family of uncountably many functions sharing the same linearization. In contrast with previous work, our construction allows for non-polynomial functions as well as uncountably many patterns. In addition, it highlights the dimensional dependence of the avoiding set on $v$, the number of input variables.


Full work available at URL: https://arxiv.org/abs/1609.03105





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