A Complexity Dichotomy for Partition Functions with Mixed SignsReport as inadecuate




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1 Department of Computer Science Liverpool 2 Institut für Informatik 3 Queen Mary, University of London - School of Mathematical Sciences

Abstract : Partition functions, also known as homomorphism functions, form a rich family of graph invariants that contain combinatorial invariants such as the number of k-colourings or the number of independent sets of a graph and also the partition functions of certain -spin glass- models of statistical physics such as the Ising model. Building on earlier work by Dyer and Greenhill 7 and Bulatov and Grohe 6, we completely classify the computational complexity of partition functions. Our main result is a dichotomy theorem stating that every partition function is either computable in polynomial time or #P-complete. Partition functions are described by symmetric matrices with real entries, and we prove that it is decidable in polynomial time in terms of the matrix whether a given partition function is in polynomial time or #P-complete. While in general it is very complicated to give an explicit algebraic or combinatorial description of the tractable cases, for partition functions described by a Hadamard matrices — these turn out to be central in our proofs — we obtain a simple algebraic tractability criterion, which says that the tractable cases are those -representable- by a quadratic polynomial over the field F2.

Keywords : Computational complexity





Author: Leslie Ann Goldberg - Martin Grohe - Mark Jerrum - Marc Thurley -

Source: https://hal.archives-ouvertes.fr/



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