| Probabilistic computation and linear time |
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Annual ACM Symposium on Theory of Computing
archive
Proceedings of the twenty-first annual ACM symposium on Theory of computing
table of contents
Seattle, Washington, United States
Pages: 148 - 156
Year of Publication: 1989
ISBN:0-89791-307-8
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Downloads (6 Weeks): 1, Downloads (12 Months): 14, Citation Count: 4
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ABSTRACT
In this paper, we give an oracle under which BPP is equal to probabilistic linear time, an unusual collapse of a complexity time hierarchy. In addition, we also give oracles where &Dgr;P2 is contained in probabilistic linear time and where BPP has linear sized circuits, as well as oracles for the negation of these questions. This indicates that these questions will not be solved by techniques that relativize. Finally, we note that probabilistic linear time can not contain both NP and BPP, implying that there are languages solvable by interactive proof systems that can not be solved in probabilistic linear time.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Cook, S., "A hierarchy for Nondeterministic Time Complexity", JCSS7 4, 1973, pp.343-353.
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S Goldwasser , S Micali , C Rackoff, The knowledge complexity of interactive proof-systems, Proceedings of the seventeenth annual ACM symposium on Theory of computing, p.291-304, May 06-08, 1985, Providence, Rhode Island, United States
[doi> 10.1145/22145.22178]
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Hartmanis, J. and R. Stearns, "On the Computational Complexity of Algorithms", Trans. AM$117, 1965, pp. 285-306.
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Kannan, R., "Circuit-Size Lower Bounds and Non-reducibility to Sparse Sets", information and Control 55 1-3, 1982, pp. 40-56.
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Solovay, S. and V. Strassen, "A Fast Monte- Carlo Test for Primality", SIAM j. Comp. 6, 1977, pp.84-85.
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Wilson, C., "Relativized Circuit Complexity", 24th FOC$, 1983, pp. 329-334.
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CITED BY 4
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Jin-Yi Cai , Ajay Nerurkar , D. Sivakumar, Hardness and hierarchy theorems for probabilistic quasi-polynomial time, Proceedings of the thirty-first annual ACM symposium on Theory of computing, p.726-735, May 01-04, 1999, Atlanta, Georgia, United States
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