Quantified Propositional Logspace Reasoning

dc.creatorPerron, Steven
dc.date2008-01-27
dc.date.accessioned2026-07-07T08:56:43Z
dc.date.available2026-07-07T08:56:43Z
dc.descriptionIn 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 G_1^* 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.
dc.description28 pages
dc.identifierhttps://arxiv.org/abs/0801.4105
dc.identifierhttp://arxiv.org/abs/0801.4105
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/146713
dc.subjectLogic in Computer Science
dc.subjectComputational Complexity
dc.titleQuantified Propositional Logspace Reasoning
dc.typetext

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