Some progress on $t$-tone coloring
Patrick Bennett, Jade Nichols
TL;DR
This work advances the theory of t-tone coloring by giving tight asymptotic bounds for large families of graphs and large-t regimes. It develops a unified hypergraph-matching framework to derive coloring bounds for trees, sparse random graphs, complete multipartite graphs, and Cartesian powers, and it obtains precise large-t formulas τ_t(G)=tn−κ_G with equality under diameter-dependent thresholds. The results include near-optimal bounds for trees with large maximum degree, asymptotics for random graphs G_{n,p}, and tight behavior for Cartesian powers and K_n^b, plus connections to MOLS for exact K_n^2 colorings. The paper also proposes conjectures about tree coloring and demonstrates evidence through explicit small-case computations, suggesting rich structural patterns and inviting further hypergraph-methods-based exploration.
Abstract
A $t$-tone coloring of a graph $G$ assigns to each vertex a set of $t$ colors such that any pair of vertices $u, v$ with distance $d$ can share at most $d-1$ colors. In this note, we prove several new results on $t$-tone coloring. For example we prove a new result for trees of large maximum degree, as well as some results for the cartesian power of a graph. We also make a conjecture about trees.
