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Automaticity I: Properties of a Measure of Descriptional Complexity

✍ Scribed by Jeffrey Shallit; Yuri Breitbart


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
668 KB
Volume
53
Category
Article
ISSN
0022-0000

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✦ Synopsis


Let 7 and 2 be nonempty alphabets with 7 finite. Let f be a function mapping 7* to 2. We explore the notion of automaticity, which attempts to model how ``close'' f is to a finite-state function. Formally, the automaticity of f is a function A f (n) which counts the minimum number of states in any deterministic finite automaton that computes f correctly on all strings of length n (and its behavior on longer strings is not specified). We define A L (n) for languages L to be A /L (n), where / L is the characteristic function of L. The same or similar notions were examined previously by Trakhtenbrot, Grinberg and Korshunov, Karp, Breitbart, Gabarro , Dwork and Stockmeyer, and Kaneps and Freivalds. Karp proved that if L 7* is not regular, then A L (n) (n+3)Γ‚2 infinitely often. We prove that the lower bound is best possible. We obtain results on the growth rate of A f (n). If |7|=k 2 and |2| =l< , then A f (n) C(1+o(1)) k n+2 Γ‚n for C=(log k l )Γ‚(k&1) 2 . Also, for almost all functions f and any =>0 we have A f (n)>(1&=) Ck n+1 Γ‚n for all sufficiently large n. We also obtain bounds on N L (n), the nondeterministic automaticity function. This is similar to A f (n), except that it counts the number of states in the minimal NFA, and it is defined for languages L 7*. For |7| =k 2, we have N L (n)=O(k nΓ‚2 ). Also, for almost all languages L and every =>0 we have N L (n)>(1&=) k nΓ‚2 Γ‚ -k&1 for all sufficiently large n. We prove some incomparability results between the automaticity measure and those defined earlier by Gabarro and others. Finally, we examine the notion of automaticity as applied to sequences.


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