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Some consequences of the existence of pseudorandom generators

Published: 01 January 1987 Publication History

Abstract

If secure pseudorandom generators exist, then probabilistic computation does not uniformly speed up deterministic computation. If sets in P must contain infinitely many noncomplex strings, then nondeterministic computation does not uniformly speed up deterministic computation. Connections are drawn between pseudorandom generation, generalized Kolmogorov complexity, and immunity properties of complexity classes.

References

[1]
L. Adleman, Time,space, and randornnessTechnical Report MIT/LCS/TM-~3~
[2]
L. Adleman and M.-D. Huang, these proceedings.
[3]
M. Ajtai and A. Wigderson., Determirdetie simulation of probabilistic constant depth circuits, Proc. 26th IEEE Symposium on Foundations of Computer Science, pp. 11-19.
[4]
E. W. Allender and It. Rubinstein, P-printable sets, submitted for publication. Preliminary versions of this work may be found in {AI-86, Ru-86}.
[5]
E.W. Allender, The complexity of sparse sets in P, Structure in Complexity Theory Conference, Lecture Notes in Computer Science 223, pp. 1-11.
[6]
J.L. Balcazar and R. V. Book, Sets with small generalized Kolmogorov eomplezity, to appear in Acts Infbrmatica.A preliminary version appeared as On generalized Kolmogorov complezity,Proc. 3rd Annual Symposium on Theoretical Aspects of Computer Science, Lecture Notes in Computer Science 210, pp. 334-340.
[7]
M. Blum and S. Micali, How to oer terate ~ryptooraphieally strong sequences of pseudo-random bits, SIAM J. Comput. 13, 850-864.
[8]
R. Boppana and ItHirscMeld, Paeudorandom generators and eomp, lezity classes, manuscript, M.I.T.
[9]
G. Brassard, A time.luck tradeoff in relativized cryptography, J. Computer' and System Sciences 22, 280-311.
[10]
G. Chaitin, On the length of programs for computing finite binary sequenees, J. ACM 13, 547-569.
[11]
S. Even, T. Long, and Y. Yacobi, A note on deterministic and nondeterministie time complexity, Information and Control 55, 117-124.
[12]
J. Geske, D. Huynh, and A. Selm~m, A hierarchy theorem for almost everywhere complex sets with application to polynomial complexity degrees, Proc. 4th Annual Symposium on Theoretical Aspects of Computer Science, Lecture Not._.!E.,s in Com._.~ purer Science.
[13]
S. Goldwazser and J. Killian, Almost all primes can be quickly certified, Pros. 18th Annual ACM Symposium on Theory of Computing, pp. 316-329.
[14]
S. Goldwasser and S. Micali, Probabilistic en,ryption, J. Computer and System Sciences 28, 270-299.
[15]
J. Hartmanis, Generalized Kolmogorov complexity and the structure of feasible computations, Proc. 24th IEEE Symposium on Foundations of Computer Science, pp. 439-445.
[16]
L. Hemachandra, Can P and NP manufacture randomnessf, manuscript.
[17]
J. E. Hopcroft and J. D. Ullman, Introduction to Automata The.__~9__~a Lang:~_ages, and Computation, Addison- Wesley, Reading, Mass.
[18]
D. T. Huynh, Resource-bounded Kolmogorov complexity of hard languatles, Structure in Complexity Theory Confor once, Lecture Notesin Computer Science 223, pp. 184-195.
[19]
K.-I. Ks, On the notion of infinite pzeu. dorandom sequences, to appear in Theoretical Computer Science,
[20]
K.-I. Ks, P. Orponen, U. SchSning, and O. Watanabe, What is a hard instance of a computational problem? Structure in Complexity Theory Conference, Lecture Notes in Comvuter Science 223, pp. 197-217.
[21]
A. Kolmogorov, Three approaches to the quantitative definition of randomness, Prob. info. Transmission 1, 1-7.
[22]
L. Levin, Universal sequential search problems, Problems Inform. Transmission 9~ 265-266.
[23]
L. Levin, Randomness conservation inequalities; injormation and independence in mathematical theories, Information and Control 61, 15-37.
[24]
L. Levin, One-way /unctions and pseudorandom generators, Proc. 17th Annual A CM Symposium on Theory of Computing, pp. 363-365.
[25]
Luc Longpre, Resource bounded Kolms/orgy complexity, a link between computational complexity and information theory, Doctoral Dissertation, Cornell University.
[26]
G. Peterson, Succinct representations, random strings and complexity classes, Proc. 21st IEEE Symposium on Foundations of Computer Science, pp. 86-95.
[27]
J. Reif and j. Tygar, Efficient parallel pseudo-random number generation, Tech. Report TR-07-84, Harvard University.
[28]
R. Rubinstein, A note on sets with small generalized Kolmogorov complexity, Technical Report TR #86-4, Iowa State University.
[29]
U. SchSning, Complexity and Structure, Lecture Notes in Computer Science 211.
[30]
A. Sh~mir, On the generation of erl/ptographlcalllt strong pseudorandom sequences, A CM Transactions on Computer Systems 1, 38-44.
[31]
M. Sipser, A complexity theoretic approach to randomness, Proc. 15th Annual ACM Symposium on Theory of Computing, pp. 330-335.
[32]
M. Sipser, Personal Communication.
[33]
O. Watanabe, Generalized Kolmogorov complezitli of computations, manuscript.
[34]
R. Wilber, Randomness and the densitlt of hard problems, Proc. 24th IEEE Symposium on Foundations of Computer Science, pp. 335-342.
[35]
A. Yao, Theory and applications of trapdoor functions, Proc. 23rd IEEE Symposium on Foundations of Computer Science, pp. 80-91.

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cover image ACM Conferences
STOC '87: Proceedings of the nineteenth annual ACM symposium on Theory of computing
January 1987
471 pages
ISBN:0897912217
DOI:10.1145/28395
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 January 1987

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