A guided tour of Chernoff bounds
Information Processing Letters
Information Processing Letters
Randomized algorithms
The Average-Case Complexity of Determining the Majority
SIAM Journal on Computing
The complexity of identifying large equivalence classes
Fundamenta Informaticae - Special issue dedicated to A. Salomaa
The Complexity of Finding Replicas Using Equality Tests
MFCS '93 Proceedings of the 18th International Symposium on Mathematical Foundations of Computer Science
Information Processing Letters
The plurality problem with three colors and more
Theoretical Computer Science
Randomized Algorithms for Determining the Majority on Graphs
Combinatorics, Probability and Computing
Probabilistic computations: Toward a unified measure of complexity
SFCS '77 Proceedings of the 18th Annual Symposium on Foundations of Computer Science
Average-case analysis of some plurality algorithms
ACM Transactions on Algorithms (TALG)
Computing majority with triple queries
COCOON'11 Proceedings of the 17th annual international conference on Computing and combinatorics
Computing majority with triple queries
Theoretical Computer Science
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We consider a game played by two players, Paul and Carol. At the beginning of the game, Carol fixes a coloring of n balls. At each turn, Paul chooses a pair of the balls and asks Carol whether the balls have the same color. Carol truthfully answers his question. Paul's goal is to determine the most frequent (plurality) color in the coloring by asking as few questions as possible. The game is studied in the probabilistic setting when Paul is allowed to choose his next question randomly. We give asymptotically tight bounds both for the case of two colors and many colors. For the balls colored by k colors, we prove a lower bound @W(kn) on the expected number of questions; this is asymptotically optimal. For the balls colored by two colors, we provide a strategy for Paul to determine the plurality color with the expected number of 2n/3+O(nlogn) questions; this almost matches the lower bound 2n/3-O(n).