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A Space Lower Bound of Two-Dimensional Probabilistic Turing Machines

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2450))

Abstract

This paper shows a sublogarithmic space lower bound for two-dimensional probabilistic Turing machines (2-ptm’s) over square tapes with bounded error, and shows, using this space lower bound theorem, that a specific set is not recognized by any o(log n) space-bounded 2- ptm. Furthermore, the paper investigates a relationship between 2-ptm's and two-dimensional Turing machines with both nondeterministic and probabilistic states, which we call “two-dimensional stochastic Turing machines (2-stm’s)”, and shows that for any loglog nL(n) = o(log n), L(n) space-bounded 2-ptm’s with bounded error are less powerful than L(n) space-bounded 2-stm’s with bounded error which start in nondeterministic mode, and make only one alternation between nondeterministic and probabilistic modes.

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© 2003 Springer-Verlag Berlin Heidelberg

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Sasaki, Y., Inoue, K., Ito, A., Wang, Y. (2003). A Space Lower Bound of Two-Dimensional Probabilistic Turing Machines. In: Ito, M., Toyama, M. (eds) Developments in Language Theory. DLT 2002. Lecture Notes in Computer Science, vol 2450. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45005-X_16

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  • DOI: https://doi.org/10.1007/3-540-45005-X_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40431-6

  • Online ISBN: 978-3-540-45005-4

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