Complex Systems and Renormalization Group Explanations.
Despite the close connection between the central limit theorem and renormalization group (RG) methods, the latter should be considered fundamentally distinct from the kind of probabilistic framework associated with statistical mechanics, especially the notion of averaging. The mathematics of RG is g...
| Publicado en: | Philosophy of Science Vol. 81; no. 5; pp. 1144 - 1157 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Cambridge University Press
Dec2014
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=99660760&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 99660760 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2014 vid: 81 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 99660760 10.1086/677904 ppf: 1144 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 367KB tig: atl: Complex Systems and Renormalization Group Explanations. aug: au: Morrison, Margaret su: Complexity (Philosophy) Renormalization group Statistical mechanics Statistical physics Quantum field theory sug: subj: Complexity (Philosophy) Renormalization group Statistical mechanics Statistical physics Quantum field theory ab: Despite the close connection between the central limit theorem and renormalization group (RG) methods, the latter should be considered fundamentally distinct from the kind of probabilistic framework associated with statistical mechanics, especially the notion of averaging. The mathematics of RG is grounded in dynamical systems theory rather than probability, which raises important issues with respect to the way RG generates explanations of physical phenomena. I explore these differences and show why RG methods should be considered not just calculational tools but the basis for a physical understanding of complex systems in terms of structural properties and relations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
|---|