Probabilistic and nondeterministic unary automata

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Abstract

We investigate unary regular languages and compare deterministic finite automata (DFA's), nondeterministic finite automata (NFA's) and probabilistic finite automata (PFA's) with respect to their size. Given a unary PFA with n states and an ε-isolated cutpoint, we show that the minimal equivalent DFA has at most n1/2ε states in its cycle. This result is almost optimal, since for any α < 1 a family of PFA's can be constructed such that every equivalent DFA has at least nα/2ε states. Thus we show that for the model of probabilistic automata with a constant error bound, there is only a polynomial blowup for cyclic languages. Given a unary NFA with n states, we show that efficiently approximating the size of a minimal equivalent NFA within the factor √n/ln n is impossible unless P = NP. This result even holds under the promise that the accepted language is cyclic. On the other hand we show that we can approximate a minimal NFA within the factor ln n, if we are given a cyclic unary n-state DFA. © Springer-Verlag Berlin Heidelberg 2003.

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Gramlich, G. (2003). Probabilistic and nondeterministic unary automata. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2747, 460–469. https://doi.org/10.1007/978-3-540-45138-9_40

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