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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Entropy: From Thermodynamics to Information Processing

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Author(s):
Natal, Jordao [1] ; Avila, Ivonete [2] ; Tsukahara, Victor Batista [1] ; Pinheiro, Marcelo [3] ; Maciel, Carlos Dias [1]
Total Authors: 5
Affiliation:
[1] Univ Sao Paulo, Dept Elect & Comp Engn, Signal Proc Lab, BR-3566590 Sao Carlos - Brazil
[2] State Univ Sao Paulo Unesp, Sch Engn, Dept Energy, Lab Combust & Carbon Captur, BR-3566590 Sao Carlos - Brazil
[3] Versatus Studio, BR-4011002 Sao Carlos - Brazil
Total Affiliations: 3
Document type: Review article
Source: Entropy; v. 23, n. 10 OCT 2021.
Web of Science Citations: 0
Abstract

Entropy 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.</p> (AU)

FAPESP's process: 18/19150-6 - Resilience of complex systems with the use of dynamic Bayesian networks: a probabilistic approach
Grantee:Carlos Dias Maciel
Support Opportunities: Scholarships abroad - Research
FAPESP's process: 14/50851-0 - INCT 2014: National Institute of Science and Technology for Cooperative Autonomous Systems Applied in Security and Environment
Grantee:Marco Henrique Terra
Support Opportunities: Research Projects - Thematic Grants