Blow-up in Non-Deterministic Automata

Ivan Baburin, Ryan Cotterell
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Abstract

In this paper we examine the difficulty of finding an equivalent deterministic automaton when confronted with a non-deterministic one. While for some automata the exponential blow-up in their number of states is unavoidable, we show that in general, any approximation of state complexity with polynomial precision remains PSPACE-hard. The same is true when using the subset construction to determinize the NFA, meaning that it is PSPACE-hard to predict whether subset construction will produce an exponential ''blow-up'' in the number of states or not. To give an explanation for its behaviour, we propose the notion of subset complexity, which serves as an upper bound on the size of subset construction. Due to it simple and intuitive nature it allows to identify large classes of automata which can have limited non-determinism and completely avoid the ''blow-up''. Subset complexity also remains invariant under NFA reversal and allows to predict how the introduction or removal of transitions from the NFA will affect its size.
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非确定自动机中的炸裂
在本文中,我们研究了在面对非确定性自动机时找到等效的确定性自动机的难度。虽然对于某些自动机来说,其状态数的指数级膨胀是不可避免的,但我们证明,一般来说,任何具有多项式精度的状态复杂性近似仍然是 PSPACE-hard。在使用子集构造确定 NFA 时,情况也是如此,这意味着很难预测子集构造是否会导致状态数呈指数级 "膨胀"。为了解释这种行为,我们提出了子集复杂度的概念,作为子集构造规模的上限。由于子集复杂性简单而直观,它可以识别具有有限非决定性的大类自动机,并完全避免 "炸裂"。子集复杂性在 NFA 反转时也保持不变,并允许预测从 NFA 中引入或移除过渡将如何影响其大小。
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