🤖 AI Summary
This paper addresses the construction problem of generalized uniform interpolation in theory extensions. To overcome the limited applicability of existing approaches, we first formally define generalized uniform interpolation and establish its systematic connection to symbol elimination. We propose a novel paradigm that leverages symbol elimination as a bridge, utilizing quantifier-free uniform interpolation algorithms to construct generalized uniform interpolants. We precisely characterize the reducibility conditions and applicability boundaries of this method, and prove that generalized uniform interpolation is constructively decidable over theory extensions that support quantifier-free uniform interpolation. This result significantly broadens the class of theories amenable to uniform interpolation, thereby providing a more general logical foundation for modular reasoning and formal verification.
📝 Abstract
We define a notion of general uniform interpolant, generalizing the notions of cover and of uniform interpolant and identify situations in which symbol elimination can be used for computing general uniform interpolants. We investigate the limitations of the method we propose, and identify theory extensions for which the computation of general uniform interpolants can be reduced to symbol elimination followed by the computation of uniform quantifier-free interpolants in extensions with uninterpreted function symbols of theories allowing uniform quantifier-free interpolation.