Single conflict coloring and palette sparsification of uniform hypergraphs
Carl Johan Casselgren, Kalle Eriksson
TL;DR
This work extends single conflict coloring to $r$-uniform hypergraphs, clarifying its relationships with standard list-coloring variants and DP-coloring via foundational inequalities and constructions. It develops a probabilistic model using random local $k$-partitions, establishing a near-zero probability bound for small $k$, a degeneracy-based sufficient condition for whp colorability, and a sharp threshold result for complete graphs (with conjectured thresholds for complete $r$-uniform hypergraphs). Additionally, it proves a palette sparsification result for linear $r$-uniform hypergraphs, showing that sampling $k \ge A(\log n)^{1/r}$ colors per vertex from a palette of size $\sigma \ge C\Delta^{1/(r-1)}$ suffices whp, while highlighting that this does not extend to general hypergraphs. Overall, the paper broadens probabilistic methods and sparsification techniques from graphs to hypergraphs under single-conflict constraints, with implications for coloring in conflict-prone settings.
Abstract
We introduce and investigate single conflict coloring in the setting of r-uniform hypergraphs. We establish some basic properties of this hypergraph coloring model and study a probabilistic model of single conflict coloring where the conflicts for each edge are chosen randomly; in particular, we prove a sharp threshold-type result for complete graphs and establish a sufficient condition for single conflict colorability of r-uniform hypergraphs in this model. Furthermore, we obtain a related palette sparsification-type result for general list coloring of linear uniform hypergraphs (i.e. uniform hypergraphs where any two edges share at most one common vertex). Throughout the paper we pose several questions and conjectures
