Manuel Bodirsky ; Peter Jonsson ; Timo von Oertzen - Essential Convexity and Complexity of Semi-Algebraic Constraints

lmcs:1218 - Logical Methods in Computer Science, October 10, 2012, Volume 8, Issue 4 - https://doi.org/10.2168/LMCS-8(4:5)2012
Essential Convexity and Complexity of Semi-Algebraic ConstraintsArticle

Authors: Manuel Bodirsky ORCID; Peter Jonsson ; Timo von Oertzen

    Let \Gamma be a structure with a finite relational signature and a first-order definition in (R;*,+) with parameters from R, that is, a relational structure over the real numbers where all relations are semi-algebraic sets. In this article, we study the computational complexity of constraint satisfaction problem (CSP) for \Gamma: the problem to decide whether a given primitive positive sentence is true in \Gamma. We focus on those structures \Gamma that contain the relations \leq, {(x,y,z) | x+y=z} and {1}. Hence, all CSPs studied in this article are at least as expressive as the feasibility problem for linear programs. The central concept in our investigation is essential convexity: a relation S is essentially convex if for all a,b\inS, there are only finitely many points on the line segment between a and b that are not in S. If \Gamma contains a relation S that is not essentially convex and this is witnessed by rational points a,b, then we show that the CSP for \Gamma is NP-hard. Furthermore, we characterize essentially convex relations in logical terms. This different view may open up new ways for identifying tractable classes of semi-algebraic CSPs. For instance, we show that if \Gamma is a first-order expansion of (R;*,+), then the CSP for \Gamma can be solved in polynomial time if and only if all relations in \Gamma are essentially convex (unless P=NP).


    Volume: Volume 8, Issue 4
    Published on: October 10, 2012
    Imported on: December 6, 2009
    Keywords: Computer Science - Computational Complexity,Computer Science - Discrete Mathematics,Mathematics - Logic,F.2.2, F.4.1, G.1.6
    Funding:
      Source : OpenAIRE Graph
    • Constraint Satisfaction Problems: Algorithms and Complexity; Funder: European Commission; Code: 257039

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