Testing satisfiability

Noga Alon, Asaf Shapira

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Let Φ be a set of general boolean functions on n variables, such that each function depends on exactly k variables, and each variable can take a value from [1, d]. We say that Φ is ε-far from satisfiable, if one must remove at least εnk functions in order to make the set of remaining functions satisfiable. Our main result is that if Φ is ε-far from satisfiable, then most of the induced sets of functions, on sets of variables of size c(k, d)/ε2, are not satisfiable, where c(k, d) depends only on k and d. Using the above claim, we obtain similar results for k-SAT and k-NAEQ-SAT. Assume we relax the decision problem of whether an instance of one of the above mentioned problems is satisfiable or not, to the problem of deciding whether an instance is satisfiable or ε-far from satisfiable. While the above decision problems are NP-hard, our result implies that we can solve their relaxed versions, that is, distinguishing between satisfiable and ε-far from satisfiable instances, in randomized constant time. From the above result we obtain as a special case, previous results of Alon and Krivelevich, and of Czumaj and Sohler, concerning testing of graphs and hypergraphs colorability. We also discuss the difference between testing with one-sided and two-sided error.

Original languageEnglish (US)
Pages (from-to)87-103
Number of pages17
JournalJournal of Algorithms
Volume47
Issue number2
DOIs
StatePublished - Jul 2003
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Computational Mathematics
  • Computational Theory and Mathematics

Keywords

  • Hypergraph coloring
  • Property testing
  • Satisfiability

Fingerprint Dive into the research topics of 'Testing satisfiability'. Together they form a unique fingerprint.

Cite this