Walker-Breaker games on Gn,p

The Maker-Breaker connectivity game and Hamilton cycle game belong to the best studied games in positional games theory, including results on biased games, games on random graphs and fast winning strategies. Recently, the Connector Breaker game variant, in which Connector has to claim edges such that her graph stays connected throughout the game, as well as the Walker-Breaker game variant, in which Walker has to claim her edges according to a walk, have received growing attention. For instance, London and Pluhár studied the threshold bias for the Connector Breaker connectivity game on a complete graph Kn, and showed that there is a big difference between the cases when Maker’s bias equals 1 or 2. Moreover, a recent result by the first and third author as well as Kirsch shows that the threshold probability p for the (2: 2) Connector-Breaker connectivity game on a random graph G ∼ Gn,p is of order n−2/3+o(1). We extent this result further to WalkerBreaker games and prove that this probability is also enough for Walker to create a Hamilton cycle.

Publication Details

Journal
tub.dok (Hamburg University of Technology)
Published
2024-10-18
DOI
https://doi.org/10.15480/882.13687
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
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article

Walker-Breaker games on Gn,p

tub.dok (Hamburg University of Technology)
Game Theory and Applications
article

Walker-Breaker games on Gn,p

article en

Abstract

The Maker-Breaker connectivity game and Hamilton cycle game belong to the best studied games in positional games theory, including results on biased games, games on random graphs and fast winning strategies. Recently, the Connector Breaker game variant, in which Connector has to claim edges such that her graph stays connected throughout the game, as well as the Walker-Breaker game variant, in which Walker has to claim her edges according to a walk, have received growing attention. For instance, London and Pluhár studied the threshold bias for the Connector Breaker connectivity game on a complete graph Kn, and showed that there is a big difference between the cases when Maker’s bias equals 1 or 2. Moreover, a recent result by the first and third author as well as Kirsch shows that the threshold probability p for the (2: 2) Connector-Breaker connectivity game on a random graph G ∼ Gn,p is of order n−2/3+o(1). We extent this result further to WalkerBreaker games and prove that this probability is also enough for Walker to create a Hamilton cycle.

tub.dok (Hamburg University of Technology)
Openalex Percentile: Top 50%
Game Theory and Applications
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