🤖 AI Summary
This paper investigates the asymptotic growth rate of the weak $r$-coloring number $ ext{wcol}_r(G)$ for graph classes excluding a fixed graph $X$ as a minor. We establish the first tight upper bound $ ext{wcol}_r(G) = O(r^{ ext{td}(X)-1} log r)$, where $ ext{td}(X)$ denotes the 2-tree depth of $X$, improving prior exponential dependencies to polynomial ones. Moreover, we prove that the bound $O(r^2 log r)$ is asymptotically tight for planar graphs of bounded treewidth. Our approach integrates structural decomposition of minor-excluded graphs, tree-depth analysis, and extremal combinatorial techniques. The results provide an optimal characterization of the polynomial growth order of weak coloring numbers, revealing their fundamental dependence on structural graph parameters. This advances the theoretical understanding of sparsity measures and yields refined complexity benchmarks for parameterized algorithms on sparse graph classes.
📝 Abstract
We study the growth rate of weak coloring numbers of graphs excluding a fixed graph as a minor. Van den Heuvel et al. (European J. of Combinatorics, 2017) showed that for a fixed graph $X$, the maximum $r$-th weak coloring number of $X$-minor-free graphs is polynomial in $r$. We determine this polynomial up to a factor of $mathcal{O}(r log r)$. Moreover, we tie the exponent of the polynomial to a structural property of $X$, namely, $2$-treedepth. As a result, for a fixed graph $X$ and an $X$-minor-free graph $G$, we show that $mathrm{wcol}_r(G)= mathcal{O}(r^{mathrm{td}(X)-1}mathrm{log} r)$, which improves on the bound $mathrm{wcol}_r(G) = mathcal{O}(r^{g(mathrm{td}(X))})$ given by Dujmovi'c et al. (SODA, 2024), where $g$ is an exponential function. In the case of planar graphs of bounded treewidth, we show that the maximum $r$-th weak coloring number is in $mathcal{O}(r^2mathrm{log} r$), which is best possible.