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ABSTRACT
We give the first example of a sharp threshold in proof complexity. More precisely, we show that for any sufficiently small &egr;>0 and &Dgr;>2.28, random formulas consisting of (1-&egr;)n 2-clauses and &Dgr n 3-clauses, which are known to be unsatisfiable almost certainly, almost certainly require resolution and Davis-Putnam proofs of unsatisfiability of exponential size, whereas it is easily seen that random formulas with (1+&egr;)n 2-clauses (and &Dgr; n 3 clauses) have linear size proofs of unsatisfiability almost certainly.A consequence of our result also yields the first proof that typical random 3-CNF formulas at ratios below the generally accepted range of the satisfiability threshold (and thus expected to be satisfiable almost certainly) cause natural Davis-Putnam algorithms to take exponential time to find satisfying assignments.
REFERENCES
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1
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2
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|
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3
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Dimitris Achlioptas , Arthur Chtcherba , Gabriel Istrate , Cristopher Moore, The phase transition in 1-in-k SAT and NAE 3-SAT, Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms, p.721-722, January 07-09, 2001, Washington, D.C., United States
|
| |
4
|
|
| |
5
|
|
 |
6
|
Paul Beame , Richard Karp , Toniann Pitassi , Michael Saks, On the complexity of unsatisfiability proofs for random k-CNF formulas, Proceedings of the thirtieth annual ACM symposium on Theory of computing, p.561-571, May 24-26, 1998, Dallas, Texas, United States
[doi> 10.1145/276698.276870]
|
| |
7
|
|
 |
8
|
|
| |
9
|
|
| |
10
|
B. Bollobas. Random graphs. Academic Press, London-New York, 1985.
|
| |
11
|
|
| |
12
|
V. Chvatal and B. Reed. Mick gets some (the odds are on his side). In Proceedings 33rd Annual Symposium on Foundations of Computer Science, pages 620-627, Pittsburgh, PA, October 1992. IEEE.
|
 |
13
|
|
| |
14
|
|
 |
15
|
|
 |
16
|
|
| |
17
|
E. Friedgut. Sharp thresholds of graph properties, and the k-sat problem. Journal of the American Mathematical Society, 12:1017-1054, 1999.
|
| |
18
|
|
| |
19
|
|
| |
20
|
|
| |
21
|
|
| |
22
|
|
| |
23
|
H. Kautz, D. McAllester, and B. Selman. Encoding plans in propositional logic. In Principles of Knowledge Representation and Reasoning: Proceedings of the Fifth International Conference (KR'96), pages 374-384, 1996.
|
| |
24
|
H. Kautz and B. Selman. Pushing the envelope: planning, propositional logic, and stochastic search. In Proceedings of the 13th AAAI, pages 1194-2001, 1996.
|
| |
25
|
S. Kirkpatrick and B. Selman. Critical behavior in the satisfiability of random formulas. Science, 264:1297-1301, May 1994.
|
| |
26
|
C. J.H. McDiarmid. On the method of bounded differences. In Surveys in Combinatorics, Proceedings of the 12th British Combinatorial Conference, pages 148-188. 1989.
|
| |
27
|
R. Monasson, R. Zecchina, S. Kirkpatrick, B. Selman, and L. Troyansky. Phase transition and search cost in the (2 + p)-SAT problem. In 4th Workshop on Physics and Computation, (Boston, MA, 1996).
|
| |
28
|
|
| |
29
|
R. Monasson, R. Zecchina, S. Kirkpatrick, B. Selman, and L. Troyansky. Determining computational complexity from characteristic phase transitions. Nature, 400:133-137, 1999.
|
| |
30
|
B. Selman and H. Kautz. Domain-independent extensions to GSAT: Solving large structured satisfiability problems. In Proceedings of the 13th IJCAI, pages 290-295, 1993.
|
| |
31
|
B. Selman, H. Levesque, and D. Mitchell. A new method for solving hard satisfiability problems. In Proceedings Tenth National Conference on Artificial Intelligence (AAAI-92), pages 440-446, 1992.
|
| |
32
|
|
|