English

The phase transition in random Horn satisfiability and its algorithmic implications

Data Structures and Algorithms 2007-05-23 v1 Computational Complexity

Abstract

Let c>0 be a constant, and Φ\Phi be a random Horn formula with n variables and m=c2nm=c\cdot 2^{n} clauses, chosen uniformly at random (with repetition) from the set of all nonempty Horn clauses in the given variables. By analyzing \PUR, a natural implementation of positive unit resolution, we show that \lim_{n\goesto \infty} \PR ({\Phi is satisfiable})= 1-F(e^{-c}), where F(x)=(1x)(1x2)(1x4)(1x8)...F(x)=(1-x)(1-x^2)(1-x^4)(1-x^8)... . Our method also yields as a byproduct an average-case analysis of this algorithm.

Cite

@article{arxiv.cs/9912001,
  title  = {The phase transition in random Horn satisfiability and its algorithmic implications},
  author = {Gabriel Istrate},
  journal= {arXiv preprint arXiv:cs/9912001},
  year   = {2007}
}

Comments

26 pages. Journal version of papers in AIM'98, SODA'99. Submitted to Random Structures and Algorithms