On the size of the largest empty box amidst a point set
Christoph Aistleitner, Aicke Hinrichs, Daniel Rudolf

TL;DR
This paper investigates the size of the largest empty axis-aligned box in a point set within a hypercube, showing that its volume can grow with dimension, roughly proportional to d log d, countering previous asymptotic results.
Contribution
It proves that the largest empty box volume increases with dimension, providing a lower bound proportional to d log d, which was not previously established.
Findings
Largest empty box volume grows with dimension
Lower bound of volume is proportional to d log d
Contrasts with known asymptotic order 1/n for fixed d
Abstract
The problem of finding the largest empty axis-parallel box amidst a point configuration is a classical problem in computational geometry. It is known that the volume of the largest empty box is of asymptotic order for and fixed dimension . However, it is natural to assume that the volume of the largest empty box increases as gets larger. In the present paper we prove that this actually is the case: for every set of points in there exists an empty box of volume at least , where as . More precisely, is at least of order roughly .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
