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Quantified Propositional Logspace Reasoning

2008/01/27 by Steven Perron, Perron, Steven
Computer Science · #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Formal Methods in Verification #Logic in Computer Science (cs.LO) #Logic, Reasoning, and Knowledge #Logic, programming, and type systems

paper · pdf · doi:10.48550/arxiv.0801.4105

openalex publication_date 2008/01/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this paper, we develop a quantified propositional proof systems that corresponds to logarithmic-space reasoning. We begin by defining a class SigmaCNF(2) of quantified formulas that can be evaluated in log space. Then our new proof system GL^* is defined as G1^* with cuts restricted to SigmaCNF(2) formulas and no cut formula that is not quantifier free contains a free variable that does not appear in the final formula. To show that GL^* is strong enough to capture log space reasoning, we translate theorems of VL into a family of tautologies that have polynomial-size GL^* proofs. VL is a theory of bounded arithmetic that is known to correspond to logarithmic-space reasoning. To do the translation, we find an appropriate axiomatization of VL, and put VL proofs into a new normal form. To show that GL^* is not too strong, we prove the soundness of GL^* in such a way that it can be formalized in VL. This is done by giving a logarithmic-space algorithm that witnesses GL^* proofs.

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