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Belief Propagation on the random $k$-SAT model

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 نشر من قبل Noela M\\\"uller
 تاريخ النشر 2020
  مجال البحث الهندسة المعلوماتية
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Corroborating a prediction from statistical physics, we prove that the Belief Propagation message passing algorithm approximates the partition function of the random $k$-SAT model well for all clause/variable densities and all inverse temperatures for which a modest absence of long-range correlations condition is satisfied. This condition is known as replica symmetry in physics language. From this result we deduce that a replica symmetry breaking phase transition occurs in the random $k$-SAT model at low temperature for clause/variable densities below but close to the satisfiability threshold.

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