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A Tight Lower Bound for 3-Coloring Grids in the Online-LOCAL Model

Yi-Jun Chang, Gopinath Mishra, Hung Thuan Nguyen, Mingyang Yang, Yu-Cheng Yeh

TL;DR

The paper analyzes the locality of graph coloring problems in the deterministic Online-LOCAL model, revealing tight bounds across several graph classes. It introduces a novel b-value framework to prove an $Ω(log n)$ lower bound for 3-coloring in grids, and extends to a stronger $Ω(√n)$ bound on toroidal/cylindrical grids. It then constructs gadget-based hard instances to show an $Ω(n)$ locality lower bound for $(2k-2)$-coloring in $k$-partite graphs (for $k≥3$), while identifying a broad class of graphs $L_{k,ℓ}$ with locally inferable unique colorings that admit an $O(log n)$-local Online-LOCAL algorithm for $(k+1)$-coloring, with matching lower bounds. The results demonstrate a nuanced landscape where model differences (especially global memory in Online-LOCAL) lead to substantial locality gaps, and they connect to recent LOCAL-model lower bounds. Collectively, the work sharpens our understanding of locality for fundamental coloring problems and highlights algorithmic techniques that achieve near-optimal performance on structured graph families.

Abstract

Recently, \citeauthor*{akbari2021locality}~(ICALP 2023) studied the locality of graph problems in distributed, sequential, dynamic, and online settings from a {unified} point of view. They designed a novel $O(\log n)$-locality deterministic algorithm for proper 3-coloring bipartite graphs in the $\mathsf{Online}$-$\mathsf{LOCAL}$ model. In this work, we establish the optimality of the algorithm by showing a \textit{tight} deterministic $Ω(\log n)$ locality lower bound, which holds even on grids. To complement this result, we have the following additional results: \begin{enumerate} \item We show a higher and {tight} $Ω(\sqrt{n})$ lower bound for 3-coloring toroidal and cylindrical grids. \item Considering the generalization of $3$-coloring bipartite graphs to $(k+1)$-coloring $k$-partite graphs, %where $k \geq 2$ is a constant, we show that the problem also has $O(\log n)$ locality when the input is a $k$-partite graph that admits a \emph{locally inferable unique coloring}. This special class of $k$-partite graphs covers several fundamental graph classes such as $k$-trees and triangular grids. Moreover, for this special class of graphs, we show a {tight} $Ω(\log n)$ locality lower bound. \item For general $k$-partite graphs with $k \geq 3$, we prove that the problem of $(2k-2)$-coloring $k$-partite graphs exhibits a locality of $Ω(n)$ in the $\onlineLOCAL$ model, matching the round complexity of the same problem in the $\LOCAL$ model recently shown by \citeauthor*{coiteux2023no}~(STOC 2024). Consequently, the problem of $(k+1)$-coloring $k$-partite graphs admits a locality lower bound of $Ω(n)$ when $k\geq 3$, contrasting sharply with the $Θ(\log n)$ locality for the case of $k=2$. \end{enumerate}

A Tight Lower Bound for 3-Coloring Grids in the Online-LOCAL Model

TL;DR

The paper analyzes the locality of graph coloring problems in the deterministic Online-LOCAL model, revealing tight bounds across several graph classes. It introduces a novel b-value framework to prove an lower bound for 3-coloring in grids, and extends to a stronger bound on toroidal/cylindrical grids. It then constructs gadget-based hard instances to show an locality lower bound for -coloring in -partite graphs (for ), while identifying a broad class of graphs with locally inferable unique colorings that admit an -local Online-LOCAL algorithm for -coloring, with matching lower bounds. The results demonstrate a nuanced landscape where model differences (especially global memory in Online-LOCAL) lead to substantial locality gaps, and they connect to recent LOCAL-model lower bounds. Collectively, the work sharpens our understanding of locality for fundamental coloring problems and highlights algorithmic techniques that achieve near-optimal performance on structured graph families.

Abstract

Recently, \citeauthor*{akbari2021locality}~(ICALP 2023) studied the locality of graph problems in distributed, sequential, dynamic, and online settings from a {unified} point of view. They designed a novel -locality deterministic algorithm for proper 3-coloring bipartite graphs in the - model. In this work, we establish the optimality of the algorithm by showing a \textit{tight} deterministic locality lower bound, which holds even on grids. To complement this result, we have the following additional results: \begin{enumerate} \item We show a higher and {tight} lower bound for 3-coloring toroidal and cylindrical grids. \item Considering the generalization of -coloring bipartite graphs to -coloring -partite graphs, %where is a constant, we show that the problem also has locality when the input is a -partite graph that admits a \emph{locally inferable unique coloring}. This special class of -partite graphs covers several fundamental graph classes such as -trees and triangular grids. Moreover, for this special class of graphs, we show a {tight} locality lower bound. \item For general -partite graphs with , we prove that the problem of -coloring -partite graphs exhibits a locality of in the model, matching the round complexity of the same problem in the model recently shown by \citeauthor*{coiteux2023no}~(STOC 2024). Consequently, the problem of -coloring -partite graphs admits a locality lower bound of when , contrasting sharply with the locality for the case of . \end{enumerate}
Paper Structure (40 sections, 23 theorems, 13 equations, 8 figures, 1 algorithm)

This paper contains 40 sections, 23 theorems, 13 equations, 8 figures, 1 algorithm.

Key Result

Theorem 1

In the $\mathsf{Online}$-$\mathsf{LOCAL}$ model, the locality of 3-coloring a $\left(\sqrt{n} \times \sqrt{n}\right)$ grid is $\Omega(\log n)$.

Figures (8)

  • Figure 1: The unique tripartition of a triangular grid restricted to a connected subgraph.
  • Figure 2: Cancellation of $a$-values.
  • Figure 3: A directed path whose $b$-value is zero.
  • Figure 4: Intersection of a directed cycle and a region of nodes with colors $1$ and $2$.
  • Figure 5: Concatenating $P_{u,v}$ and $P_{s,t}$.
  • ...and 3 more figures

Theorems & Definitions (53)

  • Theorem 1
  • Corollary 1.1
  • Theorem 2
  • Corollary 1.2
  • Theorem 3
  • Corollary 1.3
  • Definition 1.4: Locally inferable unique colorings
  • Theorem 4
  • Corollary 1.5
  • Theorem 5
  • ...and 43 more