Probabilistic Construction of Kakeya-Type Sets in $\mathbb{R}^2$ associated to separated sets of directions
Paul Hagelstein, Blanca Radillo-Murguia, and Alexander Stokolos

TL;DR
This paper establishes conditions on direction sets in the plane that lead to unboundedness of the associated directional maximal operator on all Lebesgue spaces, using probabilistic methods inspired by Kakeya set constructions.
Contribution
It introduces a new probabilistic framework for constructing Kakeya-type sets related to separated directions, demonstrating unboundedness of the maximal operator.
Findings
Directional maximal operator is unbounded for certain direction sets
Probabilistic construction techniques extend previous Kakeya set ideas
Results apply to all p in [1, ∞)
Abstract
We provide a condition on a set of directions ensuring that the associated directional maximal operator is unbounded on for every . The techniques of proof extend ideas of Bateman and Katz involving probabilistic construction of Kakeya-type sets involving sticky maps and Bernoulli percolation.
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Taxonomy
TopicsBayesian Methods and Mixture Models · Probability and Risk Models · Statistical Methods and Inference
