English

Biased Games On Random Boards

Combinatorics 2012-10-30 v1

Abstract

In this paper we analyze biased Maker-Breaker games and Avoider-Enforcer games, both played on the edge set of a random board G\gnpG\sim \gnp. In Maker-Breaker games there are two players, denoted by Maker and Breaker. In each round, Maker claims one previously unclaimed edge of GG and Breaker responds by claiming bb previously unclaimed edges. We consider the Hamiltonicity game, the perfect matching game and the kk-vertex-connectivity game, where Maker's goal is to build a graph which possesses the relevant property. Avoider-Enforcer games are the reverse analogue of Maker-Breaker games with a slight modification, where the two players claim at least 1 and at least bb previously unclaimed edges per move, respectively, and Avoider aims to avoid building a graph which possesses the relevant property. Maker-Breaker games are known to be "bias-monotone", that is, if Maker wins the (1,b)(1,b) game, he also wins the (1,b1)(1,b-1) game. Therefore, it makes sense to define the critical bias of a game, bb^*, to be the "breaking point" of the game. That is, Maker wins the (1,b)(1,b) game whenever bbb\leq b^* and loses otherwise. An analogous definition of the critical bias exists for Avoider-Enforcer games: here, the critical bias of a game bb^* is such that Avoider wins the (1,b)(1,b) game for every b>bb > b^*, and loses otherwise. We prove that, for every p=ω(lnnn)p=\omega(\frac{\ln n}{n}), G\gnpG\sim\gnp is typically such that the critical bias for all the aforementioned Maker-Breaker games is asymptotically b=nplnnb^*=\frac{np}{\ln n}. We also prove that in the case p=Θ(lnnn)p=\Theta(\frac{\ln n}{n}), the critical bias is b=Θ(nplnn)b^*=\Theta(\frac{np}{\ln n}). These results settle a conjecture of Stojakovi\'c and Szab\'o. For Avoider-Enforcer games, we prove that for p=Ω(lnnn)p=\Omega(\frac{\ln n}{n}), the critical bias for all the aforementioned games is b=Θ(nplnn)b^*=\Theta(\frac{np}{\ln n}).

Keywords

Cite

@article{arxiv.1210.7618,
  title  = {Biased Games On Random Boards},
  author = {Asaf Ferber and Roman Glebov and Michael Krivelevich and Alon Naor},
  journal= {arXiv preprint arXiv:1210.7618},
  year   = {2012}
}
R2 v1 2026-06-21T22:29:15.430Z