Abstract:a b s t r a c tFor matrix games we study how small nonzero probability must be used in optimal strategies. We show that for n × n win-lose-draw games (i.e. (−1, 0, 1) matrix games) nonzero probabilities smaller than n −O(n) are never needed. We also construct an explicit n × n win-lose game such that the unique optimal strategy uses a nonzero probability as small as n −Ω(n) . This is done by constructing an explicit (−1, 1) nonsingular n × n matrix, for which the inverse has only nonnegative entries and where … Show more
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