List Packing and Correspondence Packing of Planar Graphs
Daniel W. Cranston, Evelyne Smith-Roberge
TL;DR
The paper investigates disjoint colorings in planar graphs via list packing and correspondence packing, defining $χ^{⋆}_{\ell}(G)$ and $χ^{⋆}_{c}(G)$ as the minimum packing size that works for all k-assignments. It proves tight upper bounds depending on girth: $χ^{⋆}_{c}(G) ≤ 8$ for all planar graphs, $≤5$ for planar graphs with girth at least 4, and $≤4$ for girth at least 5 (optimal in the latter two cases). The approach combines Hall's theorem, auxiliary bigraphs, and a suite of matching lemmas for $(8,3)$- and $(8,4)$-bigraphs with discharging arguments to control structure in counterexamples. The paper also gives outerplanar graphs with $χ^{⋆}_{\ell}(G)=4$ and discusses the correspondence-packing analogue $χ^{⋆}_{c}$, culminating in several open problems about the exact values and asymptotics in various graph classes and embeddings.
Abstract
For a graph $G$ and a list assignment $L$ with $|L(v)|=k$ for all $v$, an $L$-packing consists of $L$-colorings $\varphi_1,\cdots,\varphi_k$ such that $\varphi_i(v)\ne\varphi_j(v)$ for all $v$ and all distinct $i,j\in\{1,\ldots,k\}$. Let $χ^{\star}_{\ell}(G)$ denote the smallest $k$ such that $G$ has an $L$-packing for every $L$ with $|L(v)|=k$ for all $v$. Let $\mathcal{P}_k$ denote the set of all planar graphs with girth at least $k$. We show that (i) $χ^{\star}_{\ell}(G)\le 8$ for all $G\in \mathcal{P}_3$ and (ii) $χ^{\star}_{\ell}(G)\le 5$ for all $G\in \mathcal{P}_4$ and (iii) $χ^{\star}_{\ell}(G)\le 4$ for all $G\in \mathcal{P}_5$. Part (i) makes progress on a problem of Cambie, Cames van Batenburg, Davies, and Kang. We also construct outerplanar graphs $G$ such that $χ^{\star}_{\ell}(G)=4$, which matches the known upper bound $χ^{\star}_{\ell}(G)\le 4$ for all outerplanar graphs. Finally, we consider the analogue of $χ^{\star}_{\ell}$ for correspondence coloring, $χ^{\star}_c$. In fact, all bounds stated above for $χ^{\star}_{\ell}$ also hold for $χ^{\star}_c$.
