On the synchronizing probability function and the triple rendezvous time: New approaches to Čerńy’s conjecture

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Abstract

We push further a recently proposed approach for studying synchronizing automata and Čerńy’s conjecture, namely, the synchronizing probability function. In this approach, the synchronizing phenomenon is reinterpreted as a Two-Player game, in which the optimal strategies of the players can be obtained through a Linear Program. Our analysis mainly focuses on the concept of triple rendezvous time, the length of the shortest word mapping three states onto a single one. It represents an intermediate step in the synchronizing process, and is a good proxy of its overall length. Our contribution is twofold. First, using the synchronizing probability function and properties of linear programming, we provide a new upper bound on the triple rendezvous time. Second, we disprove a conjecture on the synchronizing probability function by exhibiting a family of counterexamples. We discuss the game theoretic approach and possible further work in the light of our results.

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Gonze, F., & Jungers, R. M. (2015). On the synchronizing probability function and the triple rendezvous time: New approaches to Čerńy’s conjecture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8977, pp. 212–223). Springer Verlag. https://doi.org/10.1007/978-3-319-15579-1_16

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