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This chapter provides a comprehensive analysis of algorithms related to Regular Languages and focuses on decidable properties and the minimization of Deterministic Finite Automata (DFA). It covers fundamental algorithms for determining language emptiness, string membership, and equivalence between languages, leading into the essential process of DFA minimization using the table-filling algorithm. Moreover, the Myhill-Nerode theorem is introduced to elucidate the characterization of regular languages and its intrinsic link to DFA minimization.
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Term: Regular Language
Definition: A type of formal language that can be represented by deterministic finite automata (DFAs), regular expressions, or regular grammars.
Term: DFA Minimization
Definition: The process of reducing the number of states in a DFA without changing the language it recognizes, resulting in a unique minimal DFA for a regular language.
Term: MyhillNerode Theorem
Definition: A theorem that characterizes regular languages through an equivalence relation among strings, linking the concept of state equivalence in DFAs and the uniqueness of minimal DFAs.
Term: Emptiness Problem
Definition: The question of whether a given DFA recognizes any strings at all, which can be determined through state reachability analysis.
Term: Membership Problem
Definition: The problem of determining if a specific string is recognized by a given DFA, accomplished by simulating the DFA's state transitions with the input string.
Term: Equivalence Problem
Definition: The question of whether two DFAs recognize the same language, which can be resolved through the analysis of their symmetric difference.