TL;DR
This paper reveals deep connections between propositional proof systems and finite model theory, providing logical characterizations of their expressive power and enabling new lower bound techniques.
Contribution
It establishes precise logical characterizations of several propositional proof systems, linking them to fixed-point logics and advancing the understanding of proof complexity.
Findings
Horn resolution equals least fixed-point logic
Bounded-width resolution captures existential least fixed-point logic
Polynomial calculus with bounded degree characterizes fixed-point logic with counting
Abstract
We establish new, and surprisingly tight, connections between propositional proof complexity and finite model theory. Specifically, we show that the power of several propositional proof systems, such as Horn resolution, bounded-width resolution, and the monomial calculus of bounded degree, can be characterised in a precise sense by variants of fixed-point logics that are of fundamental importance in descriptive complexity theory. Our main results are that Horn resolution has the same expressive power as least fixed-point logic, that bounded-width resolution captures existential least fixed-point logic, and that the polynomial calculus with bounded degree over the rationals solves precisely the problems definable in fixed-point logic with counting. We also study the bounded-degree polynomial calculus. Over the rationals, it captures fixed-point logic with counting if we restrict the…
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Videos
A Finite-Model-Theoretic View on Propositional Proof Complexity· youtube
