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VC-dimensions of nondeterministic finite automata for words of equal length

Annals of Mathematics and Artificial Intelligence (AMAI), 2020
Abstract

Ishigami and Tani studied VC-dimensions of deterministic finite automata. We obtain analogous results for the nondeterministic case by extending a result of Champarnaud and Pin, who proved that the maximal deterministic state complexity of a set of binary words of length nn is \[ \sum_{i=0}^n\min(2^i,2^{2^{n-i}}-1). \] We show that for the nondeterministic case, if we fully restrict attention to words of length nn, then we at most need the strictly increasing initial terms in this sum.

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