The Largest Complete Bipartite Subgraph in Point-Hyperplane Incidence Graphs
Abstract
Given $m$ points and $n$ hyperplanes in $\mathbb{R}^d$ ($d\geqslant 3)$, if there are many incidences, we expect to find a big cluster $K_{r,s}$ in their incidence graph. Apfelbaum and Sharir found lower and upper bounds for the largest size of $rs$, which match (up to a constant) only in three dimensions. In this paper we close the gap in four and five dimensions, up to some polylogarithmic factors.
Published
2020-01-10
How to Cite
Do, T. (2020). The Largest Complete Bipartite Subgraph in Point-Hyperplane Incidence Graphs. The Electronic Journal of Combinatorics, 27(1), P1.12. https://doi.org/10.37236/8253
Article Number
P1.12