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Lower bounds for probabilistic space complexity: Communication-automata approach

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 813))

Abstract

We prove two different types of complexity lower bounds for the one-way bounded-error error probabilistic space complexity. The lower bounds are proved for arbitrary languges in the common way in terms of the deterministic communication dimension of languages and in terms of the notion “probabilistic communication characteristic” of language that we define. These lower bounds are incomparable.

Our lower bounds are good enough for proving proper hierarchies for different one-way probabilistic space communication complexity classes inside SPACE(n) (namely for bounded error probabilistic computation, and for errors of probabilistic computation).

Work done in part while visiting the University of Rochester. Supported in part by a Soros grant and by the National Science Foundation under grant CCR-8957604.

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Anil Nerode Yu. V. Matiyasevich

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© 1994 Springer-Verlag Berlin Heidelberg

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Ablayev, F. (1994). Lower bounds for probabilistic space complexity: Communication-automata approach. In: Nerode, A., Matiyasevich, Y.V. (eds) Logical Foundations of Computer Science. LFCS 1994. Lecture Notes in Computer Science, vol 813. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58140-5_1

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  • DOI: https://doi.org/10.1007/3-540-58140-5_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58140-6

  • Online ISBN: 978-3-540-48442-4

  • eBook Packages: Springer Book Archive

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