Capturing an Invisible Robber using Separators

We study the zero-visibility cops and robbers game, where the robber is invisible to the cops until they are caught. This differs from the classic game where full information about the robber’s location is known at any time. A previously known solution for capturing a robber in the zero-visibility case is based on the path decomposition. We provide an alternative solution based on a separation hierarchy, improving capture time and space complexity without asymptotically increasing the zero-visibility cop number in most cases. In addition, the alternative approach leads to a better bound on the approximate zero-visibility cop number for various classes of graphs, where approximate refers to the restriction to polynomial time computable strategies.

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Publication Details

Journal
Theoretical Computer Science
Published
2026-03-01
DOI
https://doi.org/10.1016/j.tcs.2026.115924
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.00
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article

Capturing an Invisible Robber using Separators

John Sylvester, Igor Potapov, Tymofii Prokopenko
Theoretical Computer Science
Optimization and Search Problems
article

Capturing an Invisible Robber using Separators

John Sylvester, Igor Potapov, Tymofii Prokopenko
article en

Abstract

We study the zero-visibility cops and robbers game, where the robber is invisible to the cops until they are caught. This differs from the classic game where full information about the robber’s location is known at any time. A previously known solution for capturing a robber in the zero-visibility case is based on the path decomposition. We provide an alternative solution based on a separation hierarchy, improving capture time and space complexity without asymptotically increasing the zero-visibility cop number in most cases. In addition, the alternative approach leads to a better bound on the approximate zero-visibility cop number for various classes of graphs, where approximate refers to the restriction to polynomial time computable strategies.

Theoretical Computer Science
University of Liverpool (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
Optimization and Search Problems
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