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Look up negentropy in Wiktionary, the free dictionary.We all love listening to songs. ^ Leon Brillouin, Science and Information theory, Dover, 1956.^ Leon Brillouin, The negentropy principle of information, J.de Hemptinne, Non-equilibrium Thermodynamics approach to Transport Processes in Gas Mixtures, Department of Chemistry, Catholic University of Leuven, Celestijnenlaan 200 F, B-3001 Heverlee, Belgium Scheilman, Temperature, Stability, and the Hydrophobic Interaction, Biophysical Journal 73 (December 1997), 2960–2964, Institute of Molecular Biology, University of Oregon, Eugene, Oregon 97403 USA ^ Antoni Planes, Eduard Vives, Entropic Formulation of Statistical Mechanics, Entropic variables and Massieu–Planck functions Universitat de Barcelona.Addition au precedent memoire sur les fonctions caractéristiques. Sur les fonctions caractéristiques des divers fluides. ^ Willard Gibbs, A Method of Geometrical Representation of the Thermodynamic Properties of Substances by Means of Surfaces, Transactions of the Connecticut Academy, 382–404 (1873).Leibovici and Christian Beckmann, An introduction to Multiway Methods for Multi-Subject fMRI experiment, FMRIB Technical Report 2001, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Department of Clinical Neurology, University of Oxford, John Radcliffe Hospital, Headley Way, Headington, Oxford, UK. Comon, Independent Component Analysis – a new concept?, Signal Processing, 36 287–314, 1994. ^ Ruye Wang, Independent Component Analysis, node4: Measures of Non-Gaussianity.^ Aapo Hyvärinen and Erkki Oja, Independent Component Analysis: A Tutorial, node14: Negentropy, Helsinki University of Technology Laboratory of Computer and Information Science.^ Aapo Hyvärinen, Survey on Independent Component Analysis, node32: Negentropy, Helsinki University of Technology Laboratory of Computer and Information Science.& Herwig, H.: (2009) 'Exact thermodynamic principles for dynamic order existence and evolution in chaos', Chaos, Solitons & Fractals, v. ^ Léon Brillouin, La science et la théorie de l'information, Masson, 1959.^ Brillouin, Leon: (1953) 'Negentropy Principle of Information', J.^ Schrödinger, Erwin, What is Life – the Physical Aspect of the Living Cell, Cambridge University Press, 1944.
In his book, he further explored this problem concluding that any cause of this bit value change (measurement, decision about a yes/no question, erasure, display, etc.) will require the same amount of energy. This is the same energy as the work Leó Szilárd's engine produces in the idealistic case. In 1953, Léon Brillouin derived a general equation stating that the changing of an information bit value requires at least kT ln(2) energy. J = S max − S = − Φ = − k ln Z the Boltzmann constant Brillouin's negentropy principle of information More recently, the Massieu–Planck thermodynamic potential, known also as free entropy, has been shown to play a great role in the so-called entropic formulation of statistical mechanics, applied among the others in molecular biology and thermodynamic non-equilibrium processes. A similar physical quantity was introduced in 1869 by Massieu for the isothermal process (both quantities differs just with a figure sign) and then Planck for the isothermal-isobaric process. It corresponds exactly to the definition of negentropy adopted in statistics and information theory. In other words, it is a difference between maximum possible, under assumed conditions, entropy and its actual entropy. This quantity is the amount of entropy that may be increased without changing an internal energy or increasing its volume. On the diagram one can see the quantity called capacity for entropy. In 1873, Willard Gibbs created a diagram illustrating the concept of free energy corresponding to free enthalpy. There is a physical quantity closely linked to free energy (free enthalpy), with a unit of entropy and isomorphic to negentropy known in statistics and information theory.