🤖 AI Summary
Reasoning about equational theories for binder-aware languages (e.g., λ-calculus, π-calculus) is hindered by axioms involving α-renaming, freshness constraints, and commutativity.
Method: We develop the first nominal E-unification theory supporting freshness conditions and establish a nominal E-lifting theorem, providing a formal foundation and correctness guarantee for equational narrowing with binding constructs. Our approach introduces a nominal-term-oriented framework for equational reduction and narrowing, integrating nominal rewriting, structural congruence reasoning, freshness modeling, and a machine-verified nominal unification algorithm.
Results: The framework is empirically validated on tasks including symbolic differentiation and first-order formula simplification, demonstrating both theoretical soundness and practical effectiveness. It enables automated, correctness-preserving equational reasoning in the presence of binders and freshness, advancing the state of the art in nominal rewriting and automated deduction for higher-order and process calculi.
📝 Abstract
Narrowing extends term rewriting with the ability to search for solutions to equational problems. While first-order rewriting and narrowing are well studied, significant challenges arise in the presence of binders, freshness conditions and equational axioms such as commutativity. This is problematic for applications in programming languages and theorem proving, where reasoning modulo renaming of bound variables, structural congruence, and freshness conditions is needed. To address these issues, we present a framework for nominal rewriting and narrowing modulo equational theories that intrinsically incorporates renaming and freshness conditions. We define and prove a key property called nominal E-coherence under freshness conditions, which characterises normal forms of nominal terms modulo renaming and equational axioms. Building on this, we establish the nominal E-lifting theorem, linking rewriting and narrowing sequences in the nominal setting. This foundational result enables the development of a nominal unification procedure based on equational narrowing, for which we provide a correctness proof. We illustrate the effectiveness of our approach with examples including symbolic differentiation and simplification of first-order formulas.