The Proof Analysis Problem

Fuente: arXiv
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Auteurs principaux: Arteche, Noel, Atserias, Albert, de Rezende, Susanna F., Khaniki, Erfan
Format: Preprint
Publié: 2025
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author Arteche, Noel
Atserias, Albert
de Rezende, Susanna F.
Khaniki, Erfan
author_facet Arteche, Noel
Atserias, Albert
de Rezende, Susanna F.
Khaniki, Erfan
contents Atserias and Müller (JACM, 2020) proved that for every unsatisfiable CNF formula $φ$, the formula $\operatorname{Ref}(φ)$, stating "$φ$ has small Resolution refutations", does not have subexponential-size Resolution refutations. Conversely, when $φ$ is satisfiable, Pudlák (TCS, 2003) showed how to construct a polynomial-size Resolution refutation of $\operatorname{Ref}(φ)$ given a satisfying assignment of $φ$. A question that remained open is: do all short Resolution refutations of $\operatorname{Ref}(φ)$ explicitly leak a satisfying assignment of $φ$? We answer this question affirmatively by giving a polynomial-time algorithm that extracts a satisfying assignment for $φ$ given any short Resolution refutation of $\operatorname{Ref}(φ)$. The algorithm follows from a new feasibly constructive proof of the Atserias-Müller lower bound, formalizable in Cook's theory $\mathsf{PV_1}$ of bounded arithmetic. Motivated by this, we introduce a computational problem concerning Resolution lower bounds: the Proof Analysis Problem (PAP). For a proof system $Q$, the Proof Analysis Problem for $Q$ asks, given a CNF formula $φ$ and a $Q$-proof of a Resolution lower bound for $φ$, encoded as $\neg \operatorname{Ref}(φ)$, whether $φ$ is satisfiable. In contrast to PAP for Resolution, we prove that PAP for Extended Frege (EF) is NP-complete. Our results yield new insights into proof complexity: (i) every proof system simulating EF is (weakly) automatable if and only if it is (weakly) automatable on formulas stating Resolution lower bounds; (ii) we provide Ref formulas exponentially hard for bounded-depth Frege systems; and (iii) for every strong enough theory of arithmetic $T$ we construct unsatisfiable CNF formulas exponentially hard for Resolution but for which $T$ cannot prove even a quadratic lower bound.
format Preprint
id arxiv_https___arxiv_org_abs_2506_16956
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The Proof Analysis Problem
Arteche, Noel
Atserias, Albert
de Rezende, Susanna F.
Khaniki, Erfan
Computational Complexity
Logic in Computer Science
Logic
Atserias and Müller (JACM, 2020) proved that for every unsatisfiable CNF formula $φ$, the formula $\operatorname{Ref}(φ)$, stating "$φ$ has small Resolution refutations", does not have subexponential-size Resolution refutations. Conversely, when $φ$ is satisfiable, Pudlák (TCS, 2003) showed how to construct a polynomial-size Resolution refutation of $\operatorname{Ref}(φ)$ given a satisfying assignment of $φ$. A question that remained open is: do all short Resolution refutations of $\operatorname{Ref}(φ)$ explicitly leak a satisfying assignment of $φ$? We answer this question affirmatively by giving a polynomial-time algorithm that extracts a satisfying assignment for $φ$ given any short Resolution refutation of $\operatorname{Ref}(φ)$. The algorithm follows from a new feasibly constructive proof of the Atserias-Müller lower bound, formalizable in Cook's theory $\mathsf{PV_1}$ of bounded arithmetic. Motivated by this, we introduce a computational problem concerning Resolution lower bounds: the Proof Analysis Problem (PAP). For a proof system $Q$, the Proof Analysis Problem for $Q$ asks, given a CNF formula $φ$ and a $Q$-proof of a Resolution lower bound for $φ$, encoded as $\neg \operatorname{Ref}(φ)$, whether $φ$ is satisfiable. In contrast to PAP for Resolution, we prove that PAP for Extended Frege (EF) is NP-complete. Our results yield new insights into proof complexity: (i) every proof system simulating EF is (weakly) automatable if and only if it is (weakly) automatable on formulas stating Resolution lower bounds; (ii) we provide Ref formulas exponentially hard for bounded-depth Frege systems; and (iii) for every strong enough theory of arithmetic $T$ we construct unsatisfiable CNF formulas exponentially hard for Resolution but for which $T$ cannot prove even a quadratic lower bound.
title The Proof Analysis Problem
topic Computational Complexity
Logic in Computer Science
Logic
url https://arxiv.org/abs/2506.16956