Atenção!


O atendimento às questões referentes ao Repositório Institucional será interrompido entre os dias 20 de dezembro de 2025 a 4 de janeiro de 2026.

Pedimos a sua compreensão e aproveitamos para desejar boas festas!

Logo do repositório

Entropy: From thermodynamics to information processing

dc.contributor.authorNatal, Jordão
dc.contributor.authorÁvila, Ivonete [UNESP]
dc.contributor.authorTsukahara, Victor Batista
dc.contributor.authorPinheiro, Marcelo
dc.contributor.authorMaciel, Carlos Dias
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionVersatus Studio
dc.date.accessioned2022-05-01T09:47:29Z
dc.date.available2022-05-01T09:47:29Z
dc.date.issued2021-10-01
dc.description.abstractEntropy is a concept that emerged in the 19th century. It used to be associated with heat harnessed by a thermal machine to perform work during the Industrial Revolution. However, there was an unprecedented scientific revolution in the 20th century due to one of its most essential innovations, i.e., the information theory, which also encompasses the concept of entropy. Therefore, the following question is naturally raised: “what is the difference, if any, between concepts of entropy in each field of knowledge?” There are misconceptions, as there have been multiple attempts to conciliate the entropy of thermodynamics with that of information theory. Entropy is most commonly defined as “disorder”, although it is not a good analogy since “order” is a subjective human concept, and “disorder” cannot always be obtained from entropy. Therefore, this paper presents a historical background on the evolution of the term “entropy”, and provides mathematical evidence and logical arguments regarding its interconnection in various scientific areas, with the objective of providing a theoretical review and reference material for a broad audience.en
dc.description.affiliationSignal Processing Laboratory Department of Electrical and Computing Engineering University of São Paulo (USP)
dc.description.affiliationLaboratory of Combustion and Carbon Captur Department of Energy School of Engineering State University of São Paulo (Unesp)
dc.description.affiliationVersatus Studio
dc.description.affiliationUnespLaboratory of Combustion and Carbon Captur Department of Energy School of Engineering State University of São Paulo (Unesp)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 2014/50851-0
dc.description.sponsorshipIdFAPESP: 2018/19150-6
dc.description.sponsorshipIdCNPq: 465755/2014-3
dc.identifierhttp://dx.doi.org/10.3390/e23101340
dc.identifier.citationEntropy, v. 23, n. 10, 2021.
dc.identifier.doi10.3390/e23101340
dc.identifier.issn1099-4300
dc.identifier.scopus2-s2.0-85117918305
dc.identifier.urihttp://hdl.handle.net/11449/233741
dc.language.isoeng
dc.relation.ispartofEntropy
dc.sourceScopus
dc.subjectEntropy
dc.subjectInformation theory
dc.subjectThermodynamics
dc.titleEntropy: From thermodynamics to information processingen
dc.typeResenha
dspace.entity.typePublication
unesp.departmentEnergia - FEGpt

Arquivos