Distinct Distances Between a Line and Strip
Sanjana Das, Adam Sheffer
TL;DR
This work studies distinct distances between a line-placed point set of size $m$ and a two-dimensional strip around another line containing $n$ points, under a spacing condition. It generalizes Purdy’s line-pair problem and leverages the Solymosi–Zahl proximity framework, combining a proximity-based ingredient with incidence bounds to produce a lower bound of $|\Delta(\mathcal{P}_1,\mathcal{P}_2)| = \Omega\big( \min\{ m^{14/15}n^{8/15-\varepsilon}, m^{3/4}n^{3/4}, m^2, n^2 \} \big)$ for nonparallel, nonorthogonal lines, with constants depending on $u$, $w$, and the angle. The paper extends the approach to nonlinear strips by allowing $\mathcal{P}_2$ to lie in a strip around a Lipschitz, $k$-nice curve $\{(f(y),y)\}$, under analogous spacing and monotonicity conditions, yielding the same type of bound. The core strategy combines a refined analysis of proximity-sensitive pair types (short, steep, shallow), a lower bound on a restricted distance energy $\mathsf{E}_t$, and an upper bound via the Sharir–Zahl incidence bound, followed by asymptotic optimization over the proximity parameter. This framework advances the understanding of how proximity constraints sharpen distinct-distance bounds and provides a pathway for nonlinear-strip configurations in incidence geometry.
Abstract
We introduce a new type of distinct distances result: a lower bound on the number of distances between points on a line and points on a two-dimensional strip. This can be seen as a generalization of the well-studied problems of distances between points on two lines or curves. Unlike these existing problems, this new variant only makes sense if the points satisfy an additional spacing condition. Our work can also be seen as an exploration of the proximity technique that was recently introduced by Solymosi and Zahl. This technique lies at the heart of our analysis.
