Title
Asymptotic random graph intuition for the biased connectivity game
Abstract
We study biased Maker-Breaker games on the edges of the complete graph, as introduced by Chvátal and Erdős. We show that Maker, occupying one edge in each of his turns, can build a spanning tree, even if Breaker occupies b ≤ (1 - o(1)) · $ {n \over \ln n} $ edges in each turn. This improves a result of Beck, and is asymptotically best possible as witnessed by the Breaker-strategy of Chvátal and Erdős. We also give a strategy for Maker to occupy a graph with minimum degree c (where c = c(n) is a slowly growing function of n) while playing against a Breaker who takes b ≤ (1 - o(1)) · $ {n \over \ln n} $ edges in each turn. This result improves earlier bounds by Krivelevich and Szabó. Both of our results support the surprising random graph intuition: the threshold bias is asymptotically the same for the game played by two “clever” players and the game played by two “random” players. © 2009 Wiley Periodicals, Inc. Random Struct. Alg., 2009
Year
DOI
Venue
2009
10.1002/rsa.v35:4
Random Struct. Algorithms
Keywords
Field
DocType
random graph,spanning tree,complete graph,connectivity,random graphs
Discrete mathematics,Geometric graph theory,Complete graph,Random regular graph,Combinatorics,Line graph,Minimum degree spanning tree,Random graph,Degree (graph theory),Mathematics,Complement graph
Journal
Volume
Issue
ISSN
35
4
1042-9832
Citations 
PageRank 
References 
20
1.32
4
Authors
2
Name
Order
Citations
PageRank
Heidi Gebauer18311.07
Tibor Szabó242045.51