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The Lattice Structure of Sets of Surjective Hyper-Operations

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Principles and Practice of Constraint Programming – CP 2010 (CP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6308))

Abstract

We study the lattice structure of sets (monoids) of surjective hyper-operations on an n-element domain. Through a Galois connection, these monoids form the algebraic counterparts to sets of relations closed under definability in positive first-order (fo) logic without equality. Specifically, for a countable set of relations (forming the finite-domain structure) \(\mathcal{B}\), the set of relations definable over \(\mathcal{B}\) in positive fo logic without equality consists of exactly those relations that are invariant under the surjective hyper-endomorphisms (shes) of \(\mathcal{B}\). The evaluation problem for this logic on a fixed finite structure is a close relative of the quantified constraint satisfaction problem (QCSP).

We study in particular an inverse operation that specifies an automorphism of our lattice. We use our results to give a dichotomy theorem for the evaluation problem of positive fo logic without equality on structures that are she-complementative, i.e. structures \(\mathcal{B}\) whose set of shes is closed under inverse. These problems turn out either to be in L or to be Pspace-complete.

We go on to apply our results to certain digraphs. We prove that the evaluation of positive fo without equality on a semicomplete digraph is always Pspace-complete. We go on to prove that this problem is NP-hard for any graph of diameter at least 3. Finally, we prove a tetrachotomy for antireflexive and reflexive graphs, modulo a known conjecture as to the complexity of the QCSP on connected non-bipartite graphs. Specifically, these problems are either in L, NP-complete, co-NP-complete or Pspace-complete.

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Martin, B. (2010). The Lattice Structure of Sets of Surjective Hyper-Operations. In: Cohen, D. (eds) Principles and Practice of Constraint Programming – CP 2010. CP 2010. Lecture Notes in Computer Science, vol 6308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15396-9_31

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  • DOI: https://doi.org/10.1007/978-3-642-15396-9_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15395-2

  • Online ISBN: 978-3-642-15396-9

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