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Structured pigeonhole principle, search problems and hard tautologies

Published online by Cambridge University Press:  12 March 2014

Jan Krajíček*
Affiliation:
Mathematical Institute, Academy of Sciences, ŽitnÁ 25, Prague 1, CZ - 115 67 The Czech Republic, E-mail: [email protected]

Abstract

We consider exponentially large finite relational structures (with the universe {0, 1}n ) whose basic relations are computed by polynomial size (n O(1)) circuits. We study behaviour of such structures when pulled back by P/poly maps to a bigger or to a smaller universe. In particular, we prove that:

1. If there exists a P/poly map g: {0, 1}n → {0, 1}m , n < m, iterable for a proof system then a tautology (independent of g) expressing that a particular size n set is dominating in a size 2n tournament is hard for the proof system.

2. The search problem WPHP. decoding RSA or finding a collision in a hashing function can be reduced to finding a size m homogeneous subgraph in a size 22m graph.

Further we reduce the proof complexity of a concrete tautology (expressing a Ramsey property of a graph) in strong systems to the complexity of implicit proofs of implicit formulas in weak proof systems.

Type
Research Article
Copyright
Copyright © Association for Symbolic Logic 2005

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References

REFERENCES

[1] Alekhnovich, M., Bkn-Sasson, E., Razborov, A. A., and Wigderson, A., Pseudorandom generators in propositional proof complexity, Electronic Colloquium on Computational Complexity, vol. 23 (2000), Extended abstract in: Proceedings of the 41st Annual Symposium on Foundation of Computer Science. (2000). pp. 43-53.Google Scholar
[2] Beame, P., Cook, S. A., Edmonds, J., Impagliazzo, R., and Pitassi, T., The relative complexity of NP search problems, Proceedings 27th Annual ACM Symposium on the Theory of Computing, 1995, pp. 303314.Google Scholar
[3] Chiari, M. and KraÍČek, J., Witnessing functions in hounded arithmetic and search problems, this Journal, vol. 63 (1998), no. 3, pp. 10951115.Google Scholar
[4] Chiari, M., Lifting independence results in bounded arithmetic, Archive for Mathematical Logic, vol. 38 (1999), no. 2, pp. 123138.CrossRefGoogle Scholar
[5] Cook, S. A., Feasibly constructive proofs and the propositional calculus, Proceedings 7th Annual ACM Symposium on Theory of Computing, ACM Press, 1975, pp. 8397.Google Scholar
[6] Cook, S. A. and Reckhow, A. R., The relative efficiency of propositional proof systems, this Journal, vol. 44 (1979), no. 1, pp. 3650.Google Scholar
[7] ErdÖs, P., Some remarks on the theory of graphs, Bulletin of the AMS, vol. 53 (1947), pp. 292294.CrossRefGoogle Scholar
[8] Hanika, J., Herhrandizing search problems in bounded arithmetic, Mathematical Logic Quarterly, vol. 50 (2004), no. 6, pp. 577586.CrossRefGoogle Scholar
[9] Hanika, J., Search problems and bounded arithmetic, Ph.D. thesis, Charles University, 2004.CrossRefGoogle Scholar
[10] KrajÍČek, J., Bounded arithmetic, propositional logic, and complexity theory, Encyclopedia of mathematics and its applications, vol. 60, Cambridge University Press, 1995.Google Scholar
[11] KrajÍČek, J., On the weak pigeonhole principle, Fundamenta Mathematicae, vol. 170 (2001), no. 1-3, pp. 123140.CrossRefGoogle Scholar
[12] KrajÍČek, J., Tautologies from pseudo-random generators, The Bulletin of Symbolic Logic, vol. 7 (2001), no. 2, pp. 197212.CrossRefGoogle Scholar
[13] KrajÍČek, J., Diagonalization in proof complexity, Fundamenta Mathematicae, vol. 182 (2004), pp. 181192.CrossRefGoogle Scholar
[14] KrajÍČek, J., Dual weak pigeonhole principle, pseudo-surjective functions, and provability of circuit lower bounds, this Journal, vol. 69 (2004), no. 1, pp. 265286.Google Scholar
[15] KrajÍČek, J., Implicit proofs, this Journal, vol. 69 (2004), no. 2, pp. 387397.Google Scholar
[16] KrajÍČek, J. and PudlÁk, P., Propositional proof systems, the consistency of first order theories and the complexity of computations, this Journal, vol. 54 (1989), no. 3, pp. 10631079.Google Scholar
[17] KrajÍČek, J., Some consequences of cryptographical conjectures for S2 1 and EF, Information and Computation, vol. 140 (1998), no. 1, pp. 8294.CrossRefGoogle Scholar
[18] Maciel, A., Pitassi, T., and Woods, A., A new proof of the weak pigeonhole principle, Journal of Computer and Systems Science, vol. 64 (2002), pp. 843872.CrossRefGoogle Scholar
[19] Paris, J. B., Wilkie, A. J., and Woods, A., Provability of the pigeonhole principle and the existence of infinitely many primes, this Journal, vol. 53 (1988), pp. 12351244.Google Scholar
[20] Raz, R., Resolution lower bounds for the weak pigeonhole principle, Proceedings of the 34th STOC, 2002, pp. 553562.Google Scholar
[21] Razborov, A. A., Formulas of bounded depth in the basis (&,⊕) andsome combinatorial problems, Voprosy Kibemetiki, vol. 134 (1988), pp. 149166, (in Russian).Google Scholar
[22] Razborov, A. A., Unprovability of lower bounds on the circuit size in certain fragments of bounded arithmetic, Rossiĭskaya Akademiya Nauk. Izvestiya. Seriya Matematicheskaya. vol. 59 (1995), no. 1, pp. 201224.Google Scholar
[23] Razborov, A. A., Resolution lower bounds for perfect matching principles, Proceedings of the 17th IEEE conference on computational complexity, 2002, pp. 2938.Google Scholar
[24] Razborov, A. A., Pseudorandom generators hard for k-DNF resolution and polynomial calculus resolution, preprint, May 2003.Google Scholar
[25] Stinson, D. R., Cryptography: theory and practice, CRC Press LLC, 1995.Google Scholar