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Entropy: From Thermodynamics to Information Processing

Jordão Natal, Ivonete Ávila, Victor Batista Tsukahara, Marcelo Pinheiro, Carlos Dias Maciel

2021Entropy50 citationsDOIOpen Access PDF

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.

Topics & Concepts

Entropy (arrow of time)Information diagramMaximum entropy thermodynamicsAnalogyInformation theoryLaws of thermodynamicsStatistical physicsJoint entropyEpistemologyComputer scienceEntropy in thermodynamics and information theoryMathematicsJoint quantum entropyMathematical economicsTheoretical physicsThermodynamicsPrinciple of maximum entropyArtificial intelligencePhysicsNon-equilibrium thermodynamicsPhilosophyStatisticsAdvanced Thermodynamics and Statistical MechanicsStatistical Mechanics and EntropyNeural dynamics and brain function
Entropy: From Thermodynamics to Information Processing | Litcius