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  1. Home > Articles & Issues >
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  3. Generating functions ...
Article

Generating functions and the satisfiability threshold

Vincent Puyhaubert (1)
(1) Algorithms
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Imported on
March 26, 2015
Published on
January 1, 2004
Last modified on
March 31, 2025
Volume 6
vol. 6:2
DOI
10.46298/dmtcs.325
License
https://about.hal.science/hal-authorisation-v1
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Generating functions and the satisfiability threshold

Vincent Puyhaubert (1)
(1) Algorithms
Abstract
The 3-SAT problem consists in determining if a boolean formula with 3 literals per clause is satisfiable. When the ratio between the number of clauses and the number of variables increases, a threshold phenomenon is observed: the probability of satisfiability appears to decrease sharply from 1 to 0 in the neighbourghood of a threshold value, conjectured to be close to 4.25. Although the threshold has been proved to exist for the 2-SAT formulæ and for closely related problems like 3-XORSAT, there is still no proof for the 3-sat problem. Recent works have provided so far upper and lower bounds for the threshold's potential location. We present here a unified approach to upper bounds that is based on urn models, generating functions, and saddle-point bounds. In this way, we re-derive some of the most significant upper bounds known in a simple and uniform manner.
Keywords
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • exponential generating functions
  • saddle-point bounds
  • First moment method
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