Hyper-Minimization for Deterministic Register Automata
Yong Li, Qiyi Tang, Di-De Yen

TL;DR
This paper introduces a hyper-minimization algorithm for well-typed deterministic register automata, proving its correctness and establishing the decidability of this minimization process.
Contribution
It develops the first hyper-minimization algorithm for well-typed DRAs and proves its correctness and decidability.
Findings
Automata are minimal in states and registers among well-typed DRAs.
The algorithm's correctness is formally proven.
Decidability of hyper-minimization for well-typed DRAs is established.
Abstract
We investigate hyper-minimization for deterministic register automata (DRAs). We begin by introducing DRA counterparts of classical notions from deterministic finite automata. Building on these foundations, we present an algorithm for hyper-minimizing well-typed DRAs, where each state is associated with a unique register type. The resulting automata are minimal with respect to both the number of states and registers among all well-typed DRAs. We prove the correctness of the proposed algorithm, thereby establishing the decidability of hyper-minimization for well-typed DRAs.
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