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Monotonicity of the Cops and Robber Game for Bounded Depth Treewidth
Adler, Isolde; Fluck, Eva (2024): Monotonicity of the Cops and Robber Game for Bounded Depth Treewidth, in: Ithaca, NY: arXiv, S. 1–18, doi: 10.48550/arXiv.2402.09139.
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Conference:
49th International Symposium on Mathematical Foundations of Computer Science : (MFCS 2024), August 26-30, 2024 ; Bratislava, Slovakia
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Year of publication:
2024
Pages:
Language:
English
Abstract:
We study a variation of the cops and robber game characterising treewidth, where in each play at most q cops can be placed in order to catch the robber, where q is a parameter of the game. We prove that if k cops have a winning strategy in this game, then k cops have a monotone winning strategy. As a corollary we obtain a new characterisation of bounded depth treewidth, and we give a positive answer to an open question by Fluck, Seppelt and Spitzer (2024), thus showing that graph classes of bounded depth treewidth are homomorphism distinguishing closed. Our proof of monotonicity substantially reorganises a winning strategy by first transforming it into a pre-decomposition, which is inspired by decompositions of matroids, and then applying an intricate breadth-first ‘cleaning up’ procedure along the pre-decomposition (which may temporarily lose the property of representing a strategy), in order to achieve monotonicity while controlling the number of cop placements simultaneously across all branches of the decomposition via a vertex exchange argument. We believe this can be useful in future research.
Keywords: ;  ;  ;  ;  ; 
tree decompositions
treewidth
treedepth
cops-and-robber game
monotonicity
homomorphism distinguishing closure
Type:
Conferenceobject
Activation date:
April 28, 2025
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https://fis.uni-bamberg.de/handle/uniba/107795