We study the fine grained complexity of the DFA non-emptiness of intersection problem parameterized by the number k of input automata (k -DFA-NEI). More specifically, we are given a list ‹A1,..,Ak› of DFA’s over a common alphabet Σ, and the goal is to determine whether (Formula Presented). This problem can be solved in time O(nk) by applying the classic Rabin-Scott product construction. In this work, we show that the existence of algorithms solving k -DFA-NEI in time slightly faster than O(nk) would imply the existence of deterministic sub-exponential time algorithms for the simulation of nondeterministic linear space bounded computations. This consequence strengthens the existing conditional lower bounds for k-DFA-NEI and implies new non-uniform circuit lower bounds.
CITATION STYLE
de Oliveira Oliveira, M., & Wehar, M. (2020). On the Fine Grained Complexity of Finite Automata Non-emptiness of Intersection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12086 LNCS, pp. 69–82). Springer. https://doi.org/10.1007/978-3-030-48516-0_6
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