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Polynomial Bounds for the Grid-Minor Theorem

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abstract

One of the key results in Robertson and Seymour's seminal work on graph minors is the Grid-Minor Theorem (also called the Excluded Grid Theorem). The theorem states that for every grid $H$, every graph whose treewidth is large enough relative to $|V(H)|$ contains $H$ as a minor. This theorem has found many applications in graph theory and algorithms. Let $f(k)$ denote the largest value such that every graph of treewidth $k$ contains a grid minor of size $(f(k)\times f(k))$. The best previous quantitative bound, due to recent work of Kawarabayashi and Kobayashi, and Leaf and Seymour, shows that $f(k)=\Omega(\sqrt{\log k/\log \log k})$. In contrast, the best known upper bound implies that $f(k) = O(\sqrt{k/\log k})$. In this paper we obtain the first polynomial relationship between treewidth and grid minor size by showing that $f(k)=\Omega(k^{\delta})$ for some fixed constant $\delta > 0$, and describe a randomized algorithm, whose running time is polynomial in $|V(G)|$ and $k$, that with high probability finds a model of such a grid minor in $G$.

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math.CO 1

years

2025 1

verdicts

CONDITIONAL 1

representative citing papers

Excluding a rectangular grid

math.CO · 2025-01-20 · conditional · novelty 8.0

A new parameter family, k-treedepth, is characterized by excluded minors T□P_l for all k-vertex trees T, unifying treedepth, the ladder theorem, and the Grid-Minor Theorem.

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  • Excluding a rectangular grid math.CO · 2025-01-20 · conditional · none · ref 2016 · internal anchor

    A new parameter family, k-treedepth, is characterized by excluded minors T□P_l for all k-vertex trees T, unifying treedepth, the ladder theorem, and the Grid-Minor Theorem.