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Computation times of NP sets of different densities

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Part of the book series:Lecture Notes in Computer Science ((LNCS,volume 154))

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Abstract

In this paper we study the computational complexity of sets of different densities inNP. We show that the deterministic computation time for sets inNP can depend on their density if and only if there is a collapse or partial collapse of the corresponding higher nondeterministic and deterministic time bonded complexity classes. We show also that forNP sets of different densities there exist complete sets of the corresponding density under polynomial time Turing reductions. Finally, we show that these results can be interpreted as results about the complexity of theorem proving and proof presentation in axiomatized mathematical systems. This interpretation relates fundamental questions about the complexity of our intellectual tools to basic structural problems aboutP, NP, CoNP, andPSPACE, discussed in this paper.

This research was supported in part by National Science Foundation Grant MCS78-00418. Furthermore, the work of the second author was supported in part by a Dr. Chaim Weizmann Post-Doctoral Fellowship for Scientific Research.

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References

  1. L. Adleman, “Two Theorems on Random Polynomial Time”, IEEE-FOCS Symp. (1978), 75–83.

    Google Scholar 

  2. P. Berman, “Relationship Between Density and Deterministic Complexity ofNP-Complete Languages”, 5th ICALP, Lecture Notes in Computer Science 62, Springer-Verlag, Berlin (1978), 63–71.

    Google Scholar 

  3. L. Berman and J. Hartmanis, “On Isomorphism and Density ofNP and Other Complete Sets”, SIAM J. on Computing (1977), 305–322.

    Google Scholar 

  4. R.V. Book, “Tally Languages and Complexity Classes”, Information and Control 26 (1974), 186–193.

    Google Scholar 

  5. R. Book, C. Wilson, and M. Xu, “Relativizing Time and Space”, IEEE-FOCS Symp. (1981), 254–259.

    Google Scholar 

  6. J. Gill, “Computational Complexity of Probabilistic Turing Machines”, SIAM J. on Computing 6 (1977), 675–695.

    Google Scholar 

  7. J. Hartmanis, “On Sparse Sets in NP-P”, Department of Computer Science, Cornell University, TR82-508, August 1982.

    Google Scholar 

  8. J. Hartmanis, N. Immerman, and V. Sewelson, “Sparse Sets in NP-P: EXPTIME vs NEXP-TIME”, ACM Symposium on Theory of Computing, 1983.

    Google Scholar 

  9. R.M. Karp and R.J. Lipton, “Some Connections Between Nonuniform and Uniform Complexity Classes”, Proceedings 12th Annual ACM Symposium on Theory of Computing (April 1980), 302–309.

    Google Scholar 

  10. S. Mahaney, “Sparse Complete Sets forNP: Solution of a Conjecture of Berman and Hartmanis”, Proceedings 21st IEEE Foundations of Computer Science Symposium (1980), 42–49.

    Google Scholar 

  11. V. Sewelson, private communication.

    Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, Cornell University, 14853, Ithaca, New York

    J. Hartmanis & Y. Yesha

Authors
  1. J. Hartmanis

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  2. Y. Yesha

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Editor information

Josep Diaz

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© 1983 Springer-Verlag Berlin Heidelberg

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Hartmanis, J., Yesha, Y. (1983). Computation times of NP sets of different densities. In: Diaz, J. (eds) Automata, Languages and Programming. ICALP 1983. Lecture Notes in Computer Science, vol 154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0036918

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