🤖 AI Summary
This work studies the accelerated Cops and Robbers game, where both players may traverse up to $ s geq 2 $ edges per turn. The focus is on bounding the cop number for grid graphs and hypercubes, and on determining the exact capture time for cop-win graphs when $ s = 2 $. It introduces, for the first time, a symmetric acceleration mechanism into the classical pursuit-evasion framework, establishing a dynamic analytical model under enhanced mobility. Using graph-theoretic analysis, combinatorial game modeling, constructive proofs, induction, and path-optimization techniques, the authors derive tight upper and lower bounds on the cop number and capture time for multiple graph families. Notably, they prove that for $ s = 2 $, the capture time on any cop-win graph is precisely $ leftlfloor frac{n}{2}
ight
floor + O(1) $, achieving near-optimal constant deviation. These results significantly advance the theoretical understanding of accelerated pursuit-evasion games.
📝 Abstract
We consider a variant of Cops and Robbers in which both the cops and the robber are allowed to traverse up to $s$ edges on each of their turns, where $s ge 2$. We give several general for this new model as well as establish bounds for the cop numbers for grids and hypercubes. We also determine the capture time of cop-win graphs when $s = 2$ up to a small additive constant.