{"title":"Serial properties, selector proofs and the provability of consistency","authors":"Sergei Artemov","doi":"10.1093/logcom/exae034","DOIUrl":null,"url":null,"abstract":"The consistency of a theory means that each of its formal derivations $D_{0}, D_{1}, D_{2}, \\ldots $ is free of contradictions. For Peano Arithmetic PA, after the standard coding of derivations by numerals, PA-consistency is directly represented by the consistency scheme $\\textsf{Con}^{S}_{\\textsf{PA}}$, which is a series of arithmetical statements ‘$n$ is not a code of a derivation of $\\ (0=1)$’ for numerals $n=0,1,2,\\ldots $. We note that the consistency formula $\\textsf{Con}_{\\textsf{PA}}$, $\\forall x$ ‘$x$ is not a code of a derivation of $(0=1)$,’ is strictly stronger in PA than PA-consistency and corresponds to some other property, which we call uniform consistency. When studying the provability of consistency in PA we ought to work not with the consistency formula $\\textsf{Con}_{\\textsf{PA}}$ but rather with the consistency scheme $\\textsf{Con}^{S}_{\\textsf{PA}}$, which adequately represents PA-consistency. This paper introduces the Hilbert-inspired notion of proof of an infinite series of formulas in a theory and proves PA-consistency in the form $\\textsf{Con}^{S}_{\\textsf{PA}}$ in PA. These findings show that PA proves its consistency whereas, by Gödel’s second incompleteness theorem, PA cannot prove its uniform consistency.","PeriodicalId":50162,"journal":{"name":"Journal of Logic and Computation","volume":"55 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Logic and Computation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1093/logcom/exae034","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The consistency of a theory means that each of its formal derivations $D_{0}, D_{1}, D_{2}, \ldots $ is free of contradictions. For Peano Arithmetic PA, after the standard coding of derivations by numerals, PA-consistency is directly represented by the consistency scheme $\textsf{Con}^{S}_{\textsf{PA}}$, which is a series of arithmetical statements ‘$n$ is not a code of a derivation of $\ (0=1)$’ for numerals $n=0,1,2,\ldots $. We note that the consistency formula $\textsf{Con}_{\textsf{PA}}$, $\forall x$ ‘$x$ is not a code of a derivation of $(0=1)$,’ is strictly stronger in PA than PA-consistency and corresponds to some other property, which we call uniform consistency. When studying the provability of consistency in PA we ought to work not with the consistency formula $\textsf{Con}_{\textsf{PA}}$ but rather with the consistency scheme $\textsf{Con}^{S}_{\textsf{PA}}$, which adequately represents PA-consistency. This paper introduces the Hilbert-inspired notion of proof of an infinite series of formulas in a theory and proves PA-consistency in the form $\textsf{Con}^{S}_{\textsf{PA}}$ in PA. These findings show that PA proves its consistency whereas, by Gödel’s second incompleteness theorem, PA cannot prove its uniform consistency.
期刊介绍:
Logic has found application in virtually all aspects of Information Technology, from software engineering and hardware to programming and artificial intelligence. Indeed, logic, artificial intelligence and theoretical computing are influencing each other to the extent that a new interdisciplinary area of Logic and Computation is emerging.
The Journal of Logic and Computation aims to promote the growth of logic and computing, including, among others, the following areas of interest: Logical Systems, such as classical and non-classical logic, constructive logic, categorical logic, modal logic, type theory, feasible maths.... Logical issues in logic programming, knowledge-based systems and automated reasoning; logical issues in knowledge representation, such as non-monotonic reasoning and systems of knowledge and belief; logics and semantics of programming; specification and verification of programs and systems; applications of logic in hardware and VLSI, natural language, concurrent computation, planning, and databases. The bulk of the content is technical scientific papers, although letters, reviews, and discussions, as well as relevant conference reviews, are included.