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Block Interpolation: A Framework for Tight Exponential-Time Counting Complexity

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Automata, Languages, and Programming (ICALP 2015)

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Abstract

We devise a framework for proving tight lower bounds under the counting exponential-time hypothesis \(\mathsf {\#ETH}\) introduced by Dell et al. Our framework allows to convert many known \(\mathsf {\#P}\)-hardness results for counting problems into results of the following type: If the given problem admits an algorithm with running time \(2^{o(n)}\) on graphs with \(n\) vertices and \(\mathcal {O}(n)\) edges, then \(\mathsf {\#ETH}\) fails. As exemplary applications of this framework, we obtain such tight lower bounds for the evaluation of the zero-one permanent, the matching polynomial, and the Tutte polynomial on all non-easy points except for two lines.

R. Curticapean—Supported by ERC Starting Grant PARAMTIGHT (No. 280152).

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Correspondence to Radu Curticapean .

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Curticapean, R. (2015). Block Interpolation: A Framework for Tight Exponential-Time Counting Complexity. In: Halldórsson, M., Iwama, K., Kobayashi, N., Speckmann, B. (eds) Automata, Languages, and Programming. ICALP 2015. Lecture Notes in Computer Science(), vol 9134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47672-7_31

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  • DOI: https://doi.org/10.1007/978-3-662-47672-7_31

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