On upper bounds on the smallest size of a saturating set in a projective plane
Daniele Bartoli, Alexander A. Davydov, Massimo Giulietti, Stefano, Marcugini, Fernanda Pambianco

TL;DR
This paper establishes probabilistic upper bounds on the minimal size of saturating sets in projective planes, extending to multiple saturating sets and higher-dimensional spaces, with implications for linear covering codes.
Contribution
It introduces new probabilistic bounds for saturating sets in projective planes and extends results to multiple and higher-dimensional cases, connecting to coding theory.
Findings
Upper bound s(2,q) ≤ 2√(q ln q) + o(√q) for saturating sets.
High probability that random sets of certain sizes are saturating.
Bounds on (1,μ)-saturating sets for 2 ≤ μ ≤ √q.
Abstract
In a projective plane (not necessarily Desarguesian) of order a point subset is saturating (or dense) if any point of is collinear with two points in. Using probabilistic methods, the following upper bound on the smallest size of a saturating set in is proved: \begin{equation*} s(2,q)\leq 2\sqrt{(q+1)\ln (q+1)}+2\thicksim 2\sqrt{q\ln q}. \end{equation*} We also show that for any constant a random point set of size in with is a saturating set with probability greater than Our probabilistic approach is also applied to multiple saturating sets. A point set is -saturating if for every point of the number of secants of through is at least , counted…
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.
Taxonomy
TopicsLimits and Structures in Graph Theory · Coding theory and cryptography · Finite Group Theory Research
