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Testing properties of constraint-graphs

  • Shirley Halevy
  • , Oded Lachish
  • , Ilan Newman
  • , Dekel Tsur

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations

    Abstract

    We study a model of graph related formulae that we call the Constraint-Graph model. A constraint-graph is a labeled multi-graph (a graph where loops and parallel edges are allowed), where each edge e is labeled by a distinct Boolean variable and every vertex is associated with a Boolean function over the variables that label its adjacent edges. A Boolean assignment to the variables satisfies the constraint graph if it satisfies every vertex function. We associate with a constraint-graph G the property that consists of all assignments satisfying G, denoted SAT(G). We show that the above model is quite general. That is, for every property of strings P there exists a property of constraint-graphs PG such that P is testable using q queries if and only if PG is thus testable. In addition, we present a large family of constraint-graphs for which SAT(G) is testable with constant number of queries. As an implication of this, we infer the testability of some edge coloring problems (e.g. the property of two coloring of the edges in which every node is adjacent to at least one vertex of each color). Another implication is that every property of Boolean strings that can be represented by a Read-twice CNF formula is testable. We note that this is the best possible in terms of the number of occurrences of every variable in a formula.

    Original languageEnglish
    Title of host publicationProceedings - Twenty-Second Annual IEEE Conference on Computational Complexity, CCC 2007
    Pages264-277
    Number of pages14
    DOIs
    StatePublished - 2 Oct 2007
    Event22nd Annual IEEE Conference on Computational Complexity, CCC 2007 - San Diego, CA, United States
    Duration: 13 Jun 200716 Jun 2007

    Publication series

    NameProceedings of the Annual IEEE Conference on Computational Complexity
    ISSN (Print)1093-0159

    Conference

    Conference22nd Annual IEEE Conference on Computational Complexity, CCC 2007
    Country/TerritoryUnited States
    CitySan Diego, CA
    Period13/06/0716/06/07

    ASJC Scopus subject areas

    • Software
    • Theoretical Computer Science
    • Computational Mathematics

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