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Cops-Robber Games and the Resolution of Tseitin Formulas

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Theory and Applications of Satisfiability Testing – SAT 2018 (SAT 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10929))

Abstract

We characterize several complexity measures for the resolution of Tseitin formulas in terms of a two person cop-robber game. Our game is a slight variation of the one Seymour and Thomas used in order to characterize the tree-width parameter. For any undirected graph, by counting the number of cops needed in our game in order to catch a robber in it, we are able to exactly characterize the width, variable space and depth measures for the resolution of the Tseitin formula corresponding to that graph. We also give an exact game characterization of resolution variable space for any formula.

We show that our game can be played in a monotone way. This implies that the corresponding resolution measures on Tseitin formulas correspond exactly to those under the restriction of regular resolution.

Using our characterizations we improve the existing complexity bounds for Tseitin formulas showing that resolution width, depth and variable space coincide up to a logarithmic factor, and that variable space is bounded by the clause space times a logarithmic factor.

N. Talebanfard—Supported by ERC grant FEALORA 339691.

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Notes

  1. 1.

    The resolution depth is well know to coincide with the regular resolution depth for any formula.

  2. 2.

    In the original paper [4] it is stated that \({{\mathrm{\mathsf {W}}}}(F\vdash )= {{\mathrm{\mathsf {sd}}}}(F)-1\), by inspecting the proof it can be seen that the formulation involving the width of F is the correct one.

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Acknowledgments

The authors would like to thank Osamu Watanabe and the ELC project were this research was started. We are also grateful to Dimitrios Thilikos and to the anonymous referees for helpful comments.

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Correspondence to Jacobo Torán .

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Galesi, N., Talebanfard, N., Torán, J. (2018). Cops-Robber Games and the Resolution of Tseitin Formulas. In: Beyersdorff, O., Wintersteiger, C. (eds) Theory and Applications of Satisfiability Testing – SAT 2018. SAT 2018. Lecture Notes in Computer Science(), vol 10929. Springer, Cham. https://doi.org/10.1007/978-3-319-94144-8_19

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  • DOI: https://doi.org/10.1007/978-3-319-94144-8_19

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