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Worst-case hardness suffices for derandomization: A new method for hardness-randomness trade-offs

  • Session 3: Computational Complexity
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1256))

Abstract

Up to know, the known derandomization methods have been derived assuming average-case hardness conditions. In this paper we instead present the first worst-case hardness conditions sufficient to obtain P=BPP.

Our conditions refer to the worst-case circuit complexity of Boolean operators computable in time exponential in the input size. Such results are achieved by a new method that departs significantly from the usual known methods based on pseudo-random generators.

Our method also gives a worst-case hardness condition for the circuit complexity of Boolean operators computable in NC (with respect to their output size) to obtain NC=BPNC.

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Pierpaolo Degano Roberto Gorrieri Alberto Marchetti-Spaccamela

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© 1997 Springer-Verlag Berlin Heidelberg

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Andreev, A.E., Clementi, A.E.F., Rolim, J.D.P. (1997). Worst-case hardness suffices for derandomization: A new method for hardness-randomness trade-offs. In: Degano, P., Gorrieri, R., Marchetti-Spaccamela, A. (eds) Automata, Languages and Programming. ICALP 1997. Lecture Notes in Computer Science, vol 1256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63165-8_175

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  • DOI: https://doi.org/10.1007/3-540-63165-8_175

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63165-1

  • Online ISBN: 978-3-540-69194-5

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