Abstract
This paper investigates the distribution and nonuniform complexity of problems that are complete or weakly complete for ESPACE under nonuniform many-one reductions that are computed by polynomial-size circuits (P/Poly-many-one reductions). Every weakly P/Poly-many-one-complete problem is shown to have a dense, exponential, nonuniform complexity core. An exponential lower bound on the space-bounded Kolmogorov complexities of weakly P/Poly-Turing-complete problems is established. More importantly, the P/Poly-many-one-complete problems are shown to be unusually simple elements of ESPACE, in the sense that they obey nontrivial upper bounds on nonuniform complexity (size of nonuniform complexity cores and space-bounded Kolmogorov complexity) that are violated by almost every element of ESPACE. More generally, a Small Span Theorem for P/Poly-many-one reducibility in ESPACE is proven and used to show that every P/Poly-many-one degree -including the complete degree — has measure 0 in ESPACE. (In contrast, almost every element of ESPACE is weakly P-many-one complete.) All upper and lower bounds are shown to be tight.
This work was supported in part by National Science Foundation Grant CCR-9157382, with matching funds from Rockwell International, Microware Systems Corporation, and Amoco Foundation.
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References
E. Allender and R. Rubinstein. P-printable sets. SIAM Journal on Computing, 17:1193–1202, 1988.
E. W. Allender. Some consequences of the existence of pseudorandom generators. Journal of Computer and System Sciences, 39:101–124, 1989.
E. W. Allender and O. Watanabe. Kolmogorov complexity and degrees of tally sets. Information and Computation, 86:160–178, 1990.
K. Ambos-Spies, S. A. Terwijn, and Zheng Xizhong. Resource bounded randomness and weakly complete problems. In Proceedings of the Fifth Annual International Symposium on Algorithms and Computation, pages 369–377. Springer-Verlag, 1994.
J. L. Balcázar and R. V. Book. Sets with small generalized Kolmogorov complexity. Acta Informatica, 23:679–688, 1986.
J. L. Balcázar, J. Díaz, and J. Gabarró. Structural Complexity I. Springer-Verlag, Berlin, 1988.
J. L. Balcázar and U. Schöning. Bi-immune sets for complexity classes. Mathematical Systems Theory, 18:1–10, 1985.
R. Book and D.-Z. Du. The existence and density of generalized complexity cores. Journal of the ACM, 34:718–730, 1987.
R. Book, D.-Z Du, and D. Russo. On polynomial and generalized complexity cores. In Proceedings of the Third Structure in Complexity Theory Conference, pages 236–250, 1988.
G. J. Chaitin. On the length of programs for computing finite binary sequences. Journal of the Association for Computing Machinery, 13:547–569, 1966.
D.-Z. Du. Generalized complexity cores and levelability of intractable sets. Ph.D. thesis, University of California, Santa Barbara, 1985.
D.-Z. Du and R. Book. On inefficient special cases of NP-complete problems. Theoretical Computer Science, 63:239–252, 1989.
S. Even, A. Selman, and Y. Yacobi. Hard core theorems for complexity classes. Journal of the ACM, 35:205–217, 1985.
J. Hartmanis. Generalized Kolmogorov complexity and the structure of feasible computations. In Proceedings of the 24th IEEE Symposium on the Foundations of Computer Science, pages 439–445, 1983.
J. Hartmanis and Y. Yesha. Computation times of NP sets of different densities. Theoretical Computer Science, 34:17–32, 1984.
D. T. Huynh. Resource-bounded Kolmogorov complexity of hard languages, Structure in Complexity Theory, pages 184–195. Springer-Verlag, Berlin, 1986.
D. T. Huynh. On solving hard problems by polynomial-size circuits. Information Processing Letters, 24:171–176, 1987.
D. W. Juedes. The Complexity and Distribution of Computationally Useful Problems. Ph.D. thesis, Iowa State University, 1994.
D. W. Juedes. Weakly complete problems are not rare. submitted, 1994.
D. W. Juedes and J. H. Lutz. The complexity and distribution of hard problems. SIAM Journal on Computing, 24, 1995. to appear.
D. W. Juedes and J. H. Lutz. Weak completeness in E and E2. Theoretical Computer Science, 1995. to appear.
R. Kannan. Circuit-size lower bounds and non-reducibility to sparse sets. Information and Control, 55:40–56, 1982.
R. M. Karp. Reducibility among combinatorial problems. In R. E. Miller and J. W. Thatcher, editors, Complexity of Computer Computations, pages 85–104. Plenum Press, New York, 1972.
R. M. Karp and R. J. Lipton. Some connections between nonuniform and uniform complexity classes. In Proceedings of the 12th ACM Symposium on Theory of Computing, pages 302–309, 1980.
K. Ko. On the notion of infinite pseudorandom sequences. Theoretical Computer Science, 48:9–33, 1986.
A. N. Kolmogorov. Three approaches to the quantitative definition of ‘information'. Problems of Information Transmission, 1:1–7, 1965.
L. A. Levin. Randomness conservation inequalities; information and independence in mathematical theories. Information and Control, 61:15–37, 1984.
L. Longpré. Resource Bounded Kolmogorov Complexity, a Link Between Computational Complexity and Information Theory. Ph.D. thesis, Cornell University, 1986. Technical Report TR-86-776.
J. H. Lutz. Resource-bounded measure. in preparation.
J. H. Lutz. Weakly hard problems. SIAM Journal on Computing, to appear. See also Proceedings of the Ninth Structure in Complexity Theory Conference, 1994, pp. 146–161. IEEE Computer Society Press.
J. H. Lutz. Category and measure in complexity classes. SIAM Journal on Computing, 19:1100–1131, 1990.
J. H. Lutz. Almost everywhere high nonuniform complexity. Journal of Computer and System Sciences, 44:220–258, 1992.
J. H. Lutz and E. Mayordomo. Cook versus Karp-Levin: Separating completeness notions if NP is not small. Theoretical Computer Science, to appear. See also Proceedings of the Eleventh Symposium on Theoretical Aspects of Computer Science, Springer-Verlag, 1994, pp. 415–426.
J. H. Lutz and E. Mayordomo. Measure, stochasticity, and the density of hard languages. SIAM Journal on Computing, 23:762–779, 1994.
N. Lynch. On reducibility to complex or sparse sets. Journal of the ACM, 22:341–345, 1975.
P. Martin-Löf. Complexity oscillations in infinite binary sequences. Zeitschrift für Wahrscheinlichkeitstheory und Verwandte Gebiete, 19:225–230, 1971.
E. Mayordomo. Contributions to the study of resource-bounded measure. Ph.D. thesis, Universitat Politècnica de Catalunya, 1994.
P. Orponen. A classification of complexity core lattices. Theoretical Computer Science, 70:121–130, 1986.
P. Orponen and U. Schöning. The density and complexity of polynomial cores for intractable sets. Information and Control, 70:54–68, 1986.
D. A. Russo and P. Orponen. On P-subset structures. Mathematical Systems Theory, 20:129–136, 1987.
M. Sipser. A complexity-theoretic approach to randomness. In Proceedings of the 15th ACM Symposium on Theory of Computing, pages 330–335, 1983.
S. Skyum and L. G. Valiant. A complexity theory based on boolean algebra. Journal of the ACM, 32:484–502, 1985.
R. J. Solomonoff. A formal theory of inductive inference. Information and Control, 7:1–22, 224–254, 1964.
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Juedes, D.W., Lutz, J.H. (1995). Completeness and weak completeness under polynomial-size circuits. In: Mayr, E.W., Puech, C. (eds) STACS 95. STACS 1995. Lecture Notes in Computer Science, vol 900. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59042-0_59
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