Maker playing against an invisible Breaker

We initiate the study of the phantom version of Maker-Breaker positional games. In a phantom game, the moves of one of the players are hidden from the other player, who still has the complete information. We look at the biased $(a:b)$ Maker-PhantomBreaker games where the board is the edge set of the complete graph on $n$ vertices, $K_n$, and Maker has no information about PhantomBreaker's choices of edges. We give randomized strategies for both players in four classical games: connectivity game, perfect matching game, mindegree-$k$ game and Hamiltonicity game. In particular, we focus on characterizing all biases $(a:b)$ for which Maker wins asymptotically almost surely.

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Journal
ArXiv.org
Published
2025-07-30
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
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article

Maker playing against an invisible Breaker

Fabian Hamann, Dennis Clemens, Miloš Stojaković, Mirjana Mikalački et al.
ArXiv.org
Architecture and Computational Design
article

Maker playing against an invisible Breaker

Fabian Hamann, Dennis Clemens, Miloš Stojaković, Mirjana Mikalački, Yannick Mogge
article en

Abstract

We initiate the study of the phantom version of Maker-Breaker positional games. In a phantom game, the moves of one of the players are hidden from the other player, who still has the complete information. We look at the biased $(a:b)$ Maker-PhantomBreaker games where the board is the edge set of the complete graph on $n$ vertices, $K_n$, and Maker has no information about PhantomBreaker's choices of edges. We give randomized strategies for both players in four classical games: connectivity game, perfect matching game, mindegree-$k$ game and Hamiltonicity game. In particular, we focus on characterizing all biases $(a:b)$ for which Maker wins asymptotically almost surely.

ArXiv.org
Universität Hamburg (DE), University of Novi Sad (RS), LabEx PERSYVAL-Lab (FR), Hamburg University of Technology (DE)
Openalex Percentile: Top 72%
Architecture and Computational Design
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