Upper Bound for the Determinization of Emerson-Lei Automata: A One-Fin Approach
Runzhe Ma, Cong Tian, Wensheng Wang, Zhenhua Duan
Abstract
Abstract Emerson-Lei automata, which allow arbitrary Boolean combinations of Fin and Inf acceptance conditions, provide a unifying framework for ω -automata but pose significant challenges for determinization. The previous best algorithm relies on a transformation that introduces an exponential blow-up in the state space before determinization even begins. We present a new determinization algorithm that completely bypasses this bottleneck. Our key insight is that each disjunct of an Emerson-Lei condition in DNF corresponds directly to a one-Fin automaton —a restricted form of Streett automaton whose structure enables more efficient determinization via H-Safra trees. By exploiting this connection, we establish an upper bound of 2 O ( 3 | α | / 3 · ( n log n + n | α | log | α | ) ) where n is the number of states and | α | is the acceptance condition size. This improves the exponent over the previous best bound by a factor of 2 2 | α | / 3 | α | / 3 , an exponential improvement in the acceptance condition complexity.
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