Point configurations : a topic in harmonic analysis and geometric measure theory

This thesis addresses two distinct problems in geometric measure theory, both involving point configurations. The first is concerned with sets of positive Lebesgue measure that avoid affine copies of infinite configurations. The second is concerned with the Fourier dimensions of sets and the configurations they contain. When considering positive Lebesgue measure, we construct a fractal set and show how this construction avoids fast-decaying sequences. Before proving this result, we present some other constructions and strategies to address avoidance in sets of positive Lebesgue measure. Regarding the Fourier dimension, we not only consider avoidance but provide quantitative results that directly connect the Fourier dimension of a set to the inclusion of certain algebraic configurations within the set. We first introduce a technique that was introduced by Yiyu Liang and Malabika Pramanik, which is then generalized and applied to achieve the main results.

Publication Details

Journal
Open Collections
Published
2025-01-01
DOI
https://doi.org/10.14288/1.0449173
Primary Topic
Mathematical Dynamics and Fractals
Type
article
Field-Weighted Citation Impact
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article

Point configurations : a topic in harmonic analysis and geometric measure theory

Open Collections
Mathematical Dynamics and Fractals
article

Point configurations : a topic in harmonic analysis and geometric measure theory

article en

Abstract

This thesis addresses two distinct problems in geometric measure theory, both involving point configurations. The first is concerned with sets of positive Lebesgue measure that avoid affine copies of infinite configurations. The second is concerned with the Fourier dimensions of sets and the configurations they contain. When considering positive Lebesgue measure, we construct a fractal set and show how this construction avoids fast-decaying sequences. Before proving this result, we present some other constructions and strategies to address avoidance in sets of positive Lebesgue measure. Regarding the Fourier dimension, we not only consider avoidance but provide quantitative results that directly connect the Fourier dimension of a set to the inclusion of certain algebraic configurations within the set. We first introduce a technique that was introduced by Yiyu Liang and Malabika Pramanik, which is then generalized and applied to achieve the main results.

Open Collections
Reduced inequalities
Openalex Percentile: Top 54%
Mathematical Dynamics and Fractals
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