2014
DOI: 10.3233/sat190097
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A Computational Trichotomy for Connectivity of Boolean Satisfiability

Abstract: For Boolean satisfiability problems, the structure of the solution space is characterized by the solution graph, where the vertices are the solutions, and two solutions are connected iff they differ in exactly one variable. In 2006, Gopalan et al. studied connectivity properties of the solution graph and related complexity issues for CSPs [GKMP09], motivated mainly by research on satisfiability algorithms and the satisfiability threshold. They proved dichotomies for the diameter of connected components and for… Show more

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Cited by 13 publications
(28 citation statements)
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“…This was slightly corrected (with a further correction in 2015) and extended to several similar problems by Schwerdtfeger [Sch14; Sch16], while a trichotomy was shown for the problem of finding shortest paths by Mouawad et al [Mou+15]. Both [Gop+09] and [Sch14] asked whether their results could be extended to larger domains. Our work can be seen as a step in this direction, but limited to only one symmetric relation of arity 2.…”
Section: Figurementioning
confidence: 97%
“…This was slightly corrected (with a further correction in 2015) and extended to several similar problems by Schwerdtfeger [Sch14; Sch16], while a trichotomy was shown for the problem of finding shortest paths by Mouawad et al [Mou+15]. Both [Gop+09] and [Sch14] asked whether their results could be extended to larger domains. Our work can be seen as a step in this direction, but limited to only one symmetric relation of arity 2.…”
Section: Figurementioning
confidence: 97%
“…In particular, our work was inspired by the paper of Gopalan, Kolaitis, Maneva, and Papadimitriou [GKMP06], which shows that determining whether two solutions x and y of a Boolean formula are connected through the solution space is either in P or is PSPACE-complete, depending on the constraint types allowed in the formula. (Note: A minor error in Reference [GKMP06] was recently corrected in the work of Schwerdtfeger [Sch13].) More recently, Mouawad, Nishimura, Pathak and Raman [MNPR14] studied the variant of this problem in which one seeks the shortest possible Boolean reconfiguration path; they show this problem is either in P, NP-complete, or PSPACE-complete.…”
Section: Introductionmentioning
confidence: 99%
“…Combining this result with result (ii), we obtain a complexity dichotomy for the reconfiguration problem of SAT in terms of the complexity index. We compare this dichotomy result with the dichotomy result in [8,22] in the next subsection.…”
Section: Main Results Of the Papermentioning
confidence: 99%