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Discrete Applied Mathematics
Article . 2026 . Peer-reviewed
License: CC BY NC ND
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https://dx.doi.org/10.48550/ar...
Article . 2024
License: CC BY NC ND
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Trail Trap: A variant of Partizan Edge Geography

Authors: Calum Buchanan; MacKenzie Carr; Alexander Clifton; Stephen G. Hartke; Vesna Irsic; Nicholas Sieger; Rebecca Whitman;

Trail Trap: A variant of Partizan Edge Geography

Abstract

We study a two-player game played on undirected graphs called {\sc Trail Trap}, which is a variant of a game known as {\sc Partizan Edge Geography}. One player starts by choosing any edge and moving a token from one endpoint to the other; the other player then chooses a different edge and does the same. Alternating turns, each player moves their token along an unused edge from its current vertex to an adjacent vertex, until one player cannot move and loses. We present an algorithm to determine which player has a winning strategy when the graph is a tree and partially characterize the trees on which a given player wins. Additionally, we show that it is NP-hard to determine if Player~2 has a winning strategy on {\sc Trail Trap} from the starting position, even for connected bipartite planar graphs with maximum degree $4$. We determine which player has a winning strategy for certain subclasses of complete bipartite graphs and grid graphs, and we propose several open problems for further study.

24 pages, 13 figures, 2 tables

Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Combinatorics, Discrete Mathematics, FOS: Mathematics, 91A43 (05C57, 68Q17), Combinatorics (math.CO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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