THE CRITICAL BIAS FOR THE HAMILTONICITY GAME IS (1 + o(1))n/ lnn
نویسنده
چکیده
A Maker-Breaker game is a triple (H, a, b), where H = (V,E) is a hypergraph with vertex set V , called the board of the game, and edge set E, a family of subsets of V called winning sets. The parameters a and b are positive integers, related to the so-called game bias. The game is played between two players, called Maker and Breaker, who change turns occupying previously unclaimed elements of V ; Maker claims a elements in his turn, Breaker answers by claiming b elements. We assume that Breaker moves first. The game ends when all board elements have been claimed by either of the players. (In the very last move, if the board does not contain enough elements to claim for the player whose turn is now, that player claims all remaining elements of the board.) Maker wins if and only if he has occupied one of the winning sets e ∈ E by the end of the game. Breaker wins otherwise, i.e., if he manages to occupy at least one element of (“to break into”) every winning set by the end of the game. The most basic case is when a = b = 1, which is the so-called unbiased game. Here we will be concerned with 1 : b games. It is quite easy to see that Maker-Breaker games are bias monotone. This is to say that if the game (H, 1, b) is Maker’s win, then (H, 1, b′) is Maker’s win as well for every integer b′ < b. This allows us to define the critical bias of the game H, which is the maximum possible value of the bias b for which Maker still wins the 1 : b game played on H (if the 1:1 game is Breaker’s win, we say that the critical bias in this case is zero). We refer the reader to a recent monograph [2] of Beck for extensive background on positional games in general and on Maker-Breaker games in particular. The subject of this paper is the Hamiltonicity game played on the edge set of the complete graph Kn. In this game, players take turns in claiming unoccupied edges of Kn. Maker’s aim is to construct a Hamilton cycle, and thus the family of winning sets coincides with the family of (the edge sets of) graphs on n vertices containing a Hamilton cycle. The research on biased Hamiltonicity games has a long and illustrious history. Already in the very first paper about biased Maker-Breaker games back in 1978, Chvátal and Erdős [5] treated the unbiased Hamiltonicity game and showed that Maker wins it for every sufficiently large n. (Chvátal and Erdős showed in fact that Maker wins within 2n rounds. Later the minimum number of
منابع مشابه
The critical bias for the Hamiltonicity game is n/ lnn
We prove that in the biased (1 : b) Hamiltonicity Maker-Breaker game, played on the edges of the complete graph Kn, Maker has a winning strategy for b(n) ≤ ( 1− 30 ln n ) n lnn , for all large enough n.
متن کاملBiased games on random boards
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...
متن کاملOn two Hamilton cycle problems in random graphs
We study two problems related to the existence of Hamilton cycles in random graphs. The first question relates to the number of edge disjoint Hamilton cycles that the random graph Gn,p contains. δ(G)/2 is an upper bound and we show that if p ≤ (1 + o(1)) lnn/n then this upper bound is tight whp. The second question relates to how many edges can be adversarially removed from Gn,p without destroy...
متن کاملWaiter-Client and Client-Waiter Hamiltonicity games on random graphs
We study two types of two player, perfect information games with no chance moves, played on the edge set of the binomial random graph G(n, p). In each round of the (1 : q) Waiter-Client Hamiltonicity game, the first player, called Waiter, offers the second player, called Client, q + 1 edges of G(n, p) which have not been offered previously. Client then chooses one of these edges, which he claim...
متن کاملLectures 3 and 4 Hamiltonicity threshold in random graphs
The main aim of these two lectures is to establish the Hamiltonicity threshold in the probability space G(n, p), this is the minimum value of the edge probability p(n), for which a random graph G drawn from G(n, p) is whp Hamiltonian. By doing so we will prove a classical result of Komlós and Szemerédi [3] and independently of Bollobás [2]. Let us start by providing some intuition on where this...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010