Waiter-Client and Client-Waiter colourability games on a $k$-uniform hypergraph and the $k$-SAT game
Wei En Tan

TL;DR
This paper analyzes the threshold biases in Waiter-Client and Client-Waiter games on hypergraphs and the k-SAT problem, providing estimates that align with probabilistic intuition for these combinatorial games.
Contribution
It provides the first estimates for threshold biases in these games on hypergraphs and k-SAT, revealing their alignment with probabilistic intuition.
Findings
Threshold bias for non-2-colourability game in Client-Waiter is approximately (1/n) * C(n,k) * 2^{-k}
Threshold bias for non-2-colourability game in Waiter-Client is approximately (1/n) * C(n,k) * 2^{Θ_k(k)}
Threshold bias for the k-SAT game is approximately (1/n) * C(n,k) within exponential and polynomial factors
Abstract
Waiter-Client and Client-Waiter games are two-player, perfect information games, with no chance moves, played on a finite set (board) with special subsets known as the winning sets. Each round of the biased game begins with Waiter offering previously unclaimed elements of the board to Client, who claims one. The elements remaining are then claimed by Waiter. If Client fully claims a winning set by the time all board elements have been offered, he wins in the Client-Waiter game and loses in the Waiter-Client game. We give an estimate for the threshold bias of the Waiter-Client and Client-Waiter versions of two different games: the non-2-colourability game, played on the complete -uniform hypergraph, and the -SAT game. In particular, we show that the unique value of at which the winner of the Client-Waiter version of the non-2-colourability game changes…
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Taxonomy
TopicsConsumer Market Behavior and Pricing · Constraint Satisfaction and Optimization · Business Strategy and Innovation
