Long lines in subsets of large measure in high dimension
Dor Elboim, Bo'az Klartag

TL;DR
This paper proves that large measure subsets in high-dimensional spaces contain lines with significantly large intersections, and explores how this behavior varies across different measures and geometric settings.
Contribution
It establishes tight bounds on the existence of long lines in high measure sets and analyzes phase transitions for various measures, including product measures and $ ext{l}_p$ balls.
Findings
Existence of lines with intersection measure at least $ ext{Omega}(n^{1/4})$ in high measure sets
Unified behavior for a broad class of product measures
Phase transitions in intersection properties for $ ext{l}_p$ balls
Abstract
We show that for any set with there exists a line such that the one-dimensional Lebesgue measure of is at least . The exponent is tight. More generally, for a probability measure on and define \begin{equation*} L(\mu ,a):= \inf_{A ; \mu(A) = a} \sup _{\ell \text{ line}} \big| \ell \cap A\big| \end{equation*} where stands for the one-dimensional Lebesgue measure. We study the asymptotic behavior of when is a product measure and when is the uniform measure on the ball. We observe a rather unified behavior in a large class of product measures. On the other hand, for balls with we find that there are phase transitions of different types.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Stochastic processes and statistical mechanics · Point processes and geometric inequalities
