
TL;DR
This paper studies a cops and robber game on time-varying graphs with periodic edges, proving NP-hardness of winning strategies, establishing bounds related to cycle lengths and period LCMs, and improving complexity bounds to PSPACE.
Contribution
It introduces the complexity of the cops and robber game on periodic TVGs, proves NP-hardness even on simple graphs, and refines the complexity class from EXPTIME to PSPACE.
Findings
NP-hardness for simple cycle graphs
Matching bounds between cycle length and period LCM
Improved upper bound to PSPACE for the problem
Abstract
We consider the cops and robber game variant consisting of one cop and one robber on time-varying graphs (TVG). The considered TVGs are edge periodic graphs, i.e., for each edge, a binary string determines in which time step the edge is present, namely the edge is present in time step if and only if the string contains a at position . This periodicity allows for a compact representation of the infinite TVG. We proof that even for very simple underlying graphs, i.e., directed and undirected cycles the problem whether a cop-winning strategy exists is NP-hard and W[1]-hard parameterized by the number of vertices. Our second main result are matching lower bounds for the ratio between the length of the underlying cycle and the least common multiple (LCM) of the lengths of binary strings describing edge-periodicies over which the graph is robber-winning.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
