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A sharp threshold for a random constraint satisfaction problem Export

Discrete Mathematics, Vol. 285, No. 1-3. (6 August 2004), pp. 301-305.

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We consider random instances I of a constraint satisfaction problem generalizing k-SAT: given a set of ordered k-tuples over n literals, and a set of q "bad" clause assignments, find an assignment which does not set any of the k-tuples to a bad clause assignment. We consider the case where k=[Omega](log n), and study the probability of satisfiability for a random instance I formed by including every k-tuple of literals independently with probability p. Appropriate choice of the bad clause assignments results in random instances of k-SAT and not-all-equal k-SAT. A second moment method calculation yields the sharp threshold


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