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Linear versus centred chromatic numbers

Prosenjit Bose, Vida Dujmović, Hussein Houdrouge, Mehrnoosh Javarsineh, Pat Morin

TL;DR

This work tightens the relationship between centred and linear chromatic numbers by proving a near-linear lower bound for the linear chromatic number of $k\times k$ pseudogrids, which in turn yields a $\tilde{O}(\chi_{\mathrm{lin}}(G)^{10})$ upper bound on the centred chromatic number for all graphs. The authors develop a detailed grid-pseudogrid framework, introduce interior colour-frequency controls, and leverage a sequence of combinatorial and probabilistic tools—including Hall's theorem and the Lovász Local Lemma—to construct well-separated colour representatives and a path that violates linear colouring unless $\chi_{\mathrm{lin}}(G)$ is large. The result strengthens the evidence for a linear bound $\chi_{\mathrm{cen}}(G) \le 2\chi_{\mathrm{lin}}(G)$ and advances the understanding of how grid minors and treewidth influence chromatic parameters. The techniques, notably the packing lemmas and path-construction through well-separated pairs, offer a robust toolkit for relating treedepth/width-type parameters to colouring properties in complex graph families.

Abstract

$\DeclareMathOperator{\chicen}{χ_{\mathrm{cen}}}\DeclareMathOperator{\chilin}{χ_{\mathrm{lin}}}$ A centred colouring of a graph is a vertex colouring in which every connected subgraph contains a vertex whose colour is unique and a \emph{linear colouring} is a vertex colouring in which every (not-necessarily induced) path contains a vertex whose colour is unique. For a graph $G$, the centred chromatic number $\chicen(G)$ and the linear chromatic number $\chilin(G)$ denote the minimum number of distinct colours required for a centred, respectively, linear colouring of $G$. From these definitions, it follows immediately that $\chilin(G)\le \chicen(G)$ for every graph $G$. The centred chromatic number is equivalent to treedepth and has been studied extensively. Much less is known about linear colouring. Kun et al [Algorithmica 83(1)] prove that $\chicen(G) \le \tilde{O}(\chilin(G)^{190})$ for any graph $G$ and conjecture that $\chicen(G)\le 2\chilin(G)$. Their upper bound was subsequently improved by Czerwinski et al [SIDMA 35(2)] to $\chicen(G)\le\tilde{O}(\chilin(G)^{19})$. The proof of both upper bounds relies on establishing a lower bound on the linear chromatic number of pseudogrids, which appear in the proof due to their critical relationship to treewidth. Specifically, Kun et al prove that $k\times k$ pseudogrids have linear chromatic number $Ω(\sqrt{k})$. Our main contribution is establishing a tight bound on the linear chromatic number of pseudogrids, specifically $\chilin(G)\ge Ω(k)$ for every $k\times k$ pseudogrid $G$. As a consequence we improve the general bound for all graphs to $\chicen(G)\le \tilde{O}(\chilin(G)^{10})$. In addition, this tight bound gives further evidence in support of Kun et al's conjecture (above) that the centred chromatic number of any graph is upper bounded by a linear function of its linear chromatic number.

Linear versus centred chromatic numbers

TL;DR

This work tightens the relationship between centred and linear chromatic numbers by proving a near-linear lower bound for the linear chromatic number of pseudogrids, which in turn yields a upper bound on the centred chromatic number for all graphs. The authors develop a detailed grid-pseudogrid framework, introduce interior colour-frequency controls, and leverage a sequence of combinatorial and probabilistic tools—including Hall's theorem and the Lovász Local Lemma—to construct well-separated colour representatives and a path that violates linear colouring unless is large. The result strengthens the evidence for a linear bound and advances the understanding of how grid minors and treewidth influence chromatic parameters. The techniques, notably the packing lemmas and path-construction through well-separated pairs, offer a robust toolkit for relating treedepth/width-type parameters to colouring properties in complex graph families.

Abstract

A centred colouring of a graph is a vertex colouring in which every connected subgraph contains a vertex whose colour is unique and a \emph{linear colouring} is a vertex colouring in which every (not-necessarily induced) path contains a vertex whose colour is unique. For a graph , the centred chromatic number and the linear chromatic number denote the minimum number of distinct colours required for a centred, respectively, linear colouring of . From these definitions, it follows immediately that for every graph . The centred chromatic number is equivalent to treedepth and has been studied extensively. Much less is known about linear colouring. Kun et al [Algorithmica 83(1)] prove that for any graph and conjecture that . Their upper bound was subsequently improved by Czerwinski et al [SIDMA 35(2)] to . The proof of both upper bounds relies on establishing a lower bound on the linear chromatic number of pseudogrids, which appear in the proof due to their critical relationship to treewidth. Specifically, Kun et al prove that pseudogrids have linear chromatic number . Our main contribution is establishing a tight bound on the linear chromatic number of pseudogrids, specifically for every pseudogrid . As a consequence we improve the general bound for all graphs to . In addition, this tight bound gives further evidence in support of Kun et al's conjecture (above) that the centred chromatic number of any graph is upper bounded by a linear function of its linear chromatic number.
Paper Structure (10 sections, 13 theorems, 15 equations, 7 figures)

This paper contains 10 sections, 13 theorems, 15 equations, 7 figures.

Key Result

Theorem 1

For any graph $G$, $\mathop{\mathrm{\chi_{\mathrm{cen}}}}\nolimits(G)\le (\mathop{\mathrm{\chi_{\mathrm{lin}}}}\nolimits(G))^{19}\cdot(\log(\mathop{\mathrm{\chi_{\mathrm{lin}}}}\nolimits(G)))^{O(1)}$.

Figures (7)

  • Figure 1: A $6\times 4$ pseudogrid. Black vertices are contained in $P_v$ for some vertex $v$ of $G_{6\times 4}$ and white vertices are contained in $P_{vw}$ for some edge of $G_{6\times 4}$. Colour are used to distinguish between cases (Q1) (blue), (Q2) (pink), and (Q3) (gold).
  • Figure 2: Constructing the sets $S_1$ and $S_2$ and the path $P$.
  • Figure 3: Some examples of $3$- and $4$-element vertex subsets that cannot all be contained in a single path (that must also contain other vertices not pictured).
  • Figure 4: The proof of \ref{['make_disjoint']}. Disks are vertices in $S$ and crosses are the resulting elements of $X$. The large yellow boxes are $B_{r-1}(v)$ for some $v\in S$ and the small mauve and green boxes are $B_{p+1}(x)$ and $B_{p}(x)$, respectively, for some $x\in X$.
  • Figure 5: A simpler solution for colourings of the grid. The (orange) tree used to create the (purple) Hamiltonian path is created so that its edges and leaves use only odd-numbered rows and columns of the dual graph.
  • ...and 2 more figures

Theorems & Definitions (22)

  • Theorem 1: kun.obrien.ea:polynomialczerwinski.nadara.ea:improved
  • Conjecture 2: kun.obrien.ea:polynomial
  • Lemma 3
  • Theorem 4
  • Theorem 5: hall:on
  • Corollary 6
  • Lemma 7
  • Lemma 8
  • proof
  • Lemma 9
  • ...and 12 more