On the path-avoidance vertex-coloring game

TL;DR

This paper investigates the online vertex-Ramsey density for paths, showing that while greedy strategies provide a baseline, more sophisticated strategies can significantly improve outcomes, though only polynomially.

Contribution

It introduces improved Painter strategies for the path-avoidance game that surpass greedy bounds by polynomial factors, and proves superpolynomial improvements are impossible.

Findings

Greedy strategies yield a lower bound of ^r for k^*(P_",

Improved strategies surpass greedy bounds polynomially.

Superpolynomial improvements are not achievable.

Abstract

For any graph $F$ and any integer $r\geq 2$, the \emph{online vertex-Ramsey density of $F$ and $r$}, denoted $m^*(F,r)$, is a parameter defined via a deterministic two-player Ramsey-type game (Painter vs.\ Builder). This parameter was introduced in a recent paper \cite{mrs11}, where it was shown that the online vertex-Ramsey density determines the threshold of a similar probabilistic one-player game (Painter vs.\ the binomial random graph $G_{n,p}$). For a large class of graphs $F$, including cliques, cycles, complete bipartite graphs, hypercubes, wheels, and stars of arbitrary size, a simple greedy strategy is optimal for Painter and closed formulas for $m^*(F,r)$ are known. In this work we show that for the case where $F=P_\ell$ is a (long) path, the picture is very different. It is not hard to see that $m^*(P_\ell,r)= 1-1/k^*(P_\ell,r)$ for an appropriately defined integer $k^*(P_\ell,r)$, and that the greedy strategy gives a lower bound of $k^*(P_\ell,r)\geq \ell^r$. We construct and analyze Painter strategies that improve on this greedy lower bound by a factor polynomial in $\ell$, and we show that no superpolynomial improvement is possible.