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Large Sets Avoiding Rough Patterns

In: Harmonic Analysis and Applications

Author

Listed:
  • Jacob Denson

    (University of British Columbia)

  • Malabika Pramanik

    (University of British Columbia)

  • Joshua Zahl

    (University of British Columbia)

Abstract

The pattern avoidance problem seeks to construct a set X ⊂ R d $$X\subset \operatorname {\mathrm {\mathbf {R}}}^d$$ with large dimension that avoids a prescribed pattern. Examples of such patterns include three-term arithmetic progressions (solutions to x 1 − 2x 2 + x 3 = 0), geometric structures such as simplices, or more general patterns of the form f(x 1, …, x n) = 0. Previous work on the subject has considered patterns described by polynomials or by functions f satisfying certain regularity conditions. We consider the case of “rough” patterns, not prescribed by functional zeros. There are several problems that fit into the framework of rough pattern avoidance. As a first application, if Y ⊂ R d $$Y \subset \operatorname {\mathrm {\mathbf {R}}}^d$$ is a set with Minkowski dimension α, we construct a set X with Hausdorff dimension d − α such that X + X is disjoint from Y . As a second application, if C is a Lipschitz curve with Lipschitz constant less than one, we construct a set X ⊂ C of dimension 1∕2 that does not contain the vertices of an isosceles triangle.

Suggested Citation

  • Jacob Denson & Malabika Pramanik & Joshua Zahl, 2021. "Large Sets Avoiding Rough Patterns," Springer Optimization and Its Applications, in: Michael Th. Rassias (ed.), Harmonic Analysis and Applications, pages 59-75, Springer.
  • Handle: RePEc:spr:spochp:978-3-030-61887-2_4
    DOI: 10.1007/978-3-030-61887-2_4
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