TY - JOUR
T1 - Biased games on random boards
AU - Ferber, Asaf
AU - Glebov, Roman
AU - Krivelevich, Michael
AU - Naor, Alon
N1 - Publisher Copyright:
© 2014 Wiley Periodicals, Inc.
PY - 2015/7/1
Y1 - 2015/7/1
N2 - In this paper we analyze biased Maker-Breaker games and Avoider-Enforcer games, both played on the edge set of a random board G ~ G ( n , p ). In Maker-Breaker games there are two players, denoted by Maker and Breaker. In each round, Maker claims one previously unclaimed edge of G and Breaker responds by claiming b previously unclaimed edges. We consider the Hamiltonicity game, the perfect matching game and the k-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 b 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) game, he also wins the ( 1 , b - 1 ) game. Therefore, it makes sense to define the critical bias of a game, b *, to be the "breaking point" of the game. That is, Maker wins the (1,b) game whenever b < b * and loses otherwise. An analogous definition of the critical bias exists for Avoider-Enforcer games: here, the critical bias of a game b * is such that Avoider wins the (1,b) game for every b ≥ b * , and loses otherwise. We prove that, for every p = ω ( ln/n n ) , G ~ G ( n , p ) is typically such that the critical bias for all the aforementioned Maker-Breaker games is asymptotically b * = n p ln/n. We also prove that in the case p = Θ ( ln/ n n ) , the critical bias is b * = Θ ( n p ln/n ). These results settle a conjecture of Stojaković and Szabó. For Avoider-Enforcer games, we prove that for p = Ω ( ln/n n ) , the critical bias for all the aforementioned games is b * = Θ ( n p ln/n ).
AB - In this paper we analyze biased Maker-Breaker games and Avoider-Enforcer games, both played on the edge set of a random board G ~ G ( n , p ). In Maker-Breaker games there are two players, denoted by Maker and Breaker. In each round, Maker claims one previously unclaimed edge of G and Breaker responds by claiming b previously unclaimed edges. We consider the Hamiltonicity game, the perfect matching game and the k-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 b 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) game, he also wins the ( 1 , b - 1 ) game. Therefore, it makes sense to define the critical bias of a game, b *, to be the "breaking point" of the game. That is, Maker wins the (1,b) game whenever b < b * and loses otherwise. An analogous definition of the critical bias exists for Avoider-Enforcer games: here, the critical bias of a game b * is such that Avoider wins the (1,b) game for every b ≥ b * , and loses otherwise. We prove that, for every p = ω ( ln/n n ) , G ~ G ( n , p ) is typically such that the critical bias for all the aforementioned Maker-Breaker games is asymptotically b * = n p ln/n. We also prove that in the case p = Θ ( ln/ n n ) , the critical bias is b * = Θ ( n p ln/n ). These results settle a conjecture of Stojaković and Szabó. For Avoider-Enforcer games, we prove that for p = Ω ( ln/n n ) , the critical bias for all the aforementioned games is b * = Θ ( n p ln/n ).
KW - Positional games
KW - Random graphs
UR - http://www.scopus.com/inward/record.url?scp=84929287229&partnerID=8YFLogxK
U2 - 10.1002/rsa.20528
DO - 10.1002/rsa.20528
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AN - SCOPUS:84929287229
SN - 1042-9832
VL - 46
SP - 651
EP - 676
JO - Random Structures and Algorithms
JF - Random Structures and Algorithms
IS - 4
ER -