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Bibliografías temáticas / Entropy dynamics

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Artículos de revistas

Literatura académica sobre el tema "Entropy dynamics"

Autor: Grafiati

Publicado: 22 de febrero de 2023

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Artículos de revistas sobre el tema "Entropy dynamics"

1

McLachlan, A. D. "Entropy phase dynamics." Acta Crystallographica Section D Biological Crystallography 49, no. 1 (1993): 75–85. http://dx.doi.org/10.1107/s0907444992008102.

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2

Grmela, Miroslav, Michal Pavelka, Václav Klika, Bing-Yang Cao, and Nie Bendian. "Entropy and Entropy Production in Multiscale Dynamics." Journal of Non-Equilibrium Thermodynamics 44, no. 3 (2019): 217–33. http://dx.doi.org/10.1515/jnet-2018-0059.

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Abstract Heat conduction is investigated on three levels: equilibrium, Fourier, and Cattaneo. The Fourier level is either the point of departure for investigating the approach to equilibrium or the final stage in the investigation of the approach from the Cattaneo level. Both investigations bring to the Fourier level an entropy and a thermodynamics. In the absence of external and internal influences preventing the approach to equilibrium the entropy that arises in the latter investigation is the production of the classical entropy that arises in the former investigation. If the approach to equ

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3

Rosser, J. Barkley. "Econophysics and the Entropic Foundations of Economics." Entropy 23, no. 10 (2021): 1286. http://dx.doi.org/10.3390/e23101286.

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This paper examines relations between econophysics and the law of entropy as foundations of economic phenomena. Ontological entropy, where actual thermodynamic processes are involved in the flow of energy from the Sun through the biosphere and economy, is distinguished from metaphorical entropy, where similar mathematics used for modeling entropy is employed to model economic phenomena. Areas considered include general equilibrium theory, growth theory, business cycles, ecological economics, urban–regional economics, income and wealth distribution, and financial market dynamics. The power-law

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4

Piftankin, G., and D. Treschev. "Gibbs entropy and dynamics." Chaos: An Interdisciplinary Journal of Nonlinear Science 18, no. 2 (2008): 023116. http://dx.doi.org/10.1063/1.2907731.

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5

Biró, Tamás Sándor, Zoltán Néda, and András Telcs. "Entropic Divergence and Entropy Related to Nonlinear Master Equations." Entropy 21, no. 10 (2019): 993. http://dx.doi.org/10.3390/e21100993.

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We reverse engineer entropy formulas from entropic divergence, optimized to given classes of probability distribution function (PDF) evolution dynamical equation. For linear dynamics of the distribution function, the traditional Kullback–Leibler formula follows from using the logarithm function in the Csiszár’s f-divergence construction, while for nonlinear master equations more general formulas emerge. As applications, we review a local growth and global reset (LGGR) model for citation distributions, income distribution models and hadron number fluctuations in high energy collisions.

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6

Caticha, Ariel. "Entropic Dynamics: Quantum Mechanics from Entropy and Information Geometry." Annalen der Physik 531, no. 3 (2018): 1700408. http://dx.doi.org/10.1002/andp.201700408.

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7

HALDAR, SUDIP KUMAR, and BARNALI CHAKRABARTI. "DYNAMICAL FEATURES OF SHANNON INFORMATION ENTROPY OF BOSONIC CLOUD IN A TIGHT TRAP." International Journal of Modern Physics B 27, no. 13 (2013): 1350048. http://dx.doi.org/10.1142/s0217979213500483.

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We calculate Shannon information entropy of trapped interacting bosons in both the position and momentum spaces, Sr and Sk, respectively. The total entropy maintains the functional form S = a + b ln N for repulsive bosons. At the noninteracting limit the lower bound of entropic uncertainty relation is also satisfied whereas the diverging behavior of Sr and Sk at the critical point of collapse for attractive condensate accurately calculates the stability factor. Next we study the dynamics of Shannon information entropy with varying interparticle potential. We numerically solve the time-dependen

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8

Watanabe, Noboru. "On quantum dynamical entropy for open systems." International Journal of Quantum Information 14, no. 04 (2016): 1640005. http://dx.doi.org/10.1142/s0219749916400050.

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We review some notions for quantum dynamical entropies. The dynamical entropy of quantum systems is discussed and a numerical computation of the dynamical entropy is carried for the open system dynamics.

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9

Masyagin, Victor Fedorovich, Ruslan Viktorovich Zhalnin, Marina Eugenievna Ladonkina, Olga Nikolaevna Terekhina, and Vladimir Fedorovich Tishkin. "Application of the entropic slope limiter for solving gas dynamics equations using the implicit scheme of the discontinuous Galerkin method." Keldysh Institute Preprints, no. 7 (2021): 1–18. http://dx.doi.org/10.20948/prepr-2021-7.

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The paper presents the entropic slope limiter for solving gas dynamics equations using the implicit scheme of the discontinuous Galerkin method. It guarantees monotonicity of the numerical solution, non-negativity of pressure and entropy production for each finite element. The numerical method has been successfully verified using some well-known model gas-dynamic problems.

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10

Daguerre, L., G. Torroba, R. Medina, and M. Solís. "NON RELATIVISTIC QUANTUM FIELD THEORY: DYNAMICS AND IRREVERSIBILITY." Anales AFA 32, no. 4 (2022): 93–98. http://dx.doi.org/10.31527/analesafa.2021.32.4.93.

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We study aspects of quantum field theory at finite density using techniques and concepts from quantum information theory. We focus on massive Dirac fermions with chemical potential in 1+1 space-time dimensions. Using the entanglement entropy on an interval, we construct an entropic c-function that is finite. This c-function is not monotonous,and incorporates the long-range entanglement from the Fermi surface. Motivated by previous works on lattice models,we next compute the Renyi entropies numerically, and find Friedel-type oscillations. Next, we analyze the mutual in-formation as a measure of

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