222 resultados para Entropia de Tsallis
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Tesis (Maestría en Ciencias con Especialidad en Ingeniería Química) UANL
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Neste trabalho fazemos um breve estudo de Álgebras de Operadores, mais especificamente Álgebras-C* e Álgebras de von Neumann. O objetivo é expor alguns resultados que seriam os análogos não-comutativos de teoremas em Teoria da Medida e Teoria Rrgódica. Inicialmente, enunciamos alguns resultados de Análise Funcional e Teoria Espectral, muitos destes sendo demonstrados, com ênfase especial aos que dizem respeito µas álgebras. Com isso, dispomos das ferramentas necessárias para falarmos de alguns tópicos da então chamada Teoria da Integração Não-Comutativa. Uma desigualdade tipo Jensen é provada e, com o teorema de Radon-Nikodym para funcionais normais positivos, construimos uma esperança condicional, provando que esta possui as mesmas propriedades da esperança condicional da Teoria das Probabilidades. Dada a Esperança Condicional, objeto este que faz parte do cenário atual de pesquisa na área de Álgebra de Operadores e que está relacionado com resultados fundamentais tal como o Índice de Jones, passamos à definição da Entropia de Connes-Stormer. Finalizamos o trabalho analisando esta entropia, que é a versão para as álgebras de von Neumann da entropia Kolmogorov-Sinai em Teoria Ergódica. Provamos algumas pro- priedades que são análogas às do conceito clássico de entropia e indicamos uma aplicação da mesma. O texto não possui resultados originais, trata-se apenas de uma releitura de artigos usando versões mais recentes de alguns teoremas.
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Apresenta entropia por meio da desigualdade de Clausius, demonstrando essa desigualdade para máquinas térmicas e ciclos de refrigeração, concluindo que a igualdade se aplica a ciclos reversíveis e a desigualdade a ciclos irreversíveis. Define entropia como uma propriedade termodinâmica extensiva, e apresenta as equações para calcular a entropia. Apresenta o diagrama TS, faz a representação de um ciclo termodinâmico e do ciclo de Carnot nesse diagrama. Apresenta equações para cálculo de eficiência máquinas térmicas e rendimento de refrigeradores. Apresenta considerações de entropia para gases ideais.
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Apresenta algumas observações experimentais que fornecem embasamento para a segunda lei da termodinâmica, os enunciados de Clausius e Kelvin-Planck. Demonstra através de esquemas o princípio de funcionamento das máquinas térmicas e dos refrigeradores, das máquinas ideais (descrição do ciclo de Carnot) e a representação dos ciclos de potência e de refrigeração num diagrama p-v. Avalia o rendimento de máquinas térmicas ideais. Posteriormente, define o conceito de entropia e suas aplicações, como calcular variações desta propriedade termodinâmica em diferentes processos, em líquidos, sólidos e gases ideais.
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The rational construction necessary to systematize scientific knowledge in physics, introduces difficulties of understanding in some of its concepts. One of these concepts which exemplify properly this difficulty in learning or teaching is entropy. This thesis propose the construction of a didactic route which constitute itself a historical and epistemological course to entropy, intending to contribute for teaching this concept as well as other physics concepts. The basic assumption to build this route is that through the historical review of the development of this concept in the way suggested by Bachelard s (1884-1962) epistemology it is possible to make subjects, to be taught and learned, more meaningful. Initially I composed a brief biographical note to give the reader an idea about the issues, interests and reflections, related to science, and how I dealt with them in my private and professional life, as well as the role they played to lead me to write this thesis. The strategy to construct the route to entropy was to split the usual contents of basic thermodynamics in three moments in a way they can constitute epistemological units , which can be identified by the way of thinking in the corresponding moments of scientific knowledge production: a technical and empiricist moment, a rationalist and positivist moment and a post-positivist rationalist one. The transition between each moment is characterized by a rupture with the former way of thinking; however the progress in the construction of knowledge in the area is evident. As the final part of this work I present an analysis based on elements of Bachelard s epistemology that are present in each moment. This analysis is the basic component of the didactic route that I propose myself to build. The way I made this route guide to entropy could contribute to the construction of other didactic routes in physics and other sciences, in a way to unveil hidden meanings and as a tool to humanize scientific knowledge.
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In the present work we use a Tsallis maximum entropy distribution law to fit the observations of projected rotational velocity measurements of stars in the Pleiades open cluster. This new distribution funtion which generalizes the Ma.xwel1-Boltzmann one is derived from the non-extensivity of the Boltzmann-Gibbs entropy. We also present a oomparison between results from the generalized distribution and the Ma.xwellia.n law, and show that the generalized distribution fits more closely the observational data. In addition, we present a oomparison between the q values of the generalized distribution determined for the V sin i distribution of the main sequence stars (Pleiades) and ones found for the observed distribution of evolved stars (subgiants). We then observe a correlation between the q values and the star evolution stage for a certain range of stel1ar mass
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In this work we study a connection between a non-Gaussian statistics, the Kaniadakis
statistics, and Complex Networks. We show that the degree distribution P(k)of
a scale free-network, can be calculated using a maximization of information entropy in
the context of non-gaussian statistics. As an example, a numerical analysis based on the
preferential attachment growth model is discussed, as well as a numerical behavior of
the Kaniadakis and Tsallis degree distribution is compared. We also analyze the diffusive
epidemic process (DEP) on a regular lattice one-dimensional. The model is composed
of A (healthy) and B (sick) species that independently diffusive on lattice with diffusion
rates DA and DB for which the probabilistic dynamical rule A + B → 2B and B → A. This
model belongs to the category of non-equilibrium systems with an absorbing state and a
phase transition between active an inactive states. We investigate the critical behavior of
the DEP using an auto-adaptive algorithm to find critical points: the method of automatic
searching for critical points (MASCP). We compare our results with the literature and we
find that the MASCP successfully finds the critical exponents 1/ѵ and 1/zѵ in all the cases
DA =DB, DA
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The standard kinetic theory for a nonrelativistic diluted gas is generalized in the spirit of the nonextensive statistic distribution introduced by Tsallis. The new formalism depends on an arbitrary q parameter measuring the degree of nonextensivity. In the limit q = 1, the extensive Maxwell-Boltzmann theory is recovered. Starting from a purely kinetic deduction of the velocity q-distribution function, the Boltzmann H-teorem is generalized for including the possibility of nonextensive out of equilibrium effects. Based on this investigation, it is proved that Tsallis' distribution is the necessary and sufficient condition defining a thermodynamic equilibrium state in the nonextensive context. This result follows naturally from the generalized transport equation and also from the extended H-theorem. Two physical applications of the nonextensive effects have been considered. Closed analytic expressions were obtained for the Doppler broadening of spectral lines from an excited gas, as well as, for the dispersion relations describing the eletrostatic oscillations in a diluted electronic plasma. In the later case, a comparison with the experimental results strongly suggests a Tsallis distribution with the q parameter smaller than unity. A complementary study is related to the thermodynamic behavior of a relativistic imperfect simple fluid. Using nonequilibrium thermodynamics, we show how the basic primary variables, namely: the energy momentum tensor, the particle and entropy fluxes depend on the several dissipative processes present in the fluid. The temperature variation law for this moving imperfect fluid is also obtained, and the Eckart and Landau-Lifshitz formulations are recovered as particular cases
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This article intends to offer, in an introductory way, a reflection in order to build an interpretation of the Sigmund Freud's thought, orchestrating notions such as the ones of progress of civilization, which would be his philosophy of history; an investigation on his conceptions about "human nature"; culminating in a brief reflection on some points of philosophy of nature that underlies his thought. We anticipate that we recognize in the latter, characteristics assimilated by analogy to the entropy concept of modern physics. Among other features, such as compared and methodological reference with some of Kant's theses about the same notions, we also present in a short way two metapsychological aspects of Freudian theory on human sexuality, the biological and physiological, both aiming to give support to the reflections on the sense of finality.
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Considering a quantum gas, the foundations of standard thermostatistics are investigated in the context of non-Gaussian statistical mechanics introduced by Tsallis and Kaniadakis. The new formalism is based on the following generalizations: i) Maxwell- Boltzmann-Gibbs entropy and ii) deduction of H-theorem. Based on this investigation, we calculate a new entropy using a generalization of combinatorial analysis based on two different methods of counting. The basic ingredients used in the H-theorem were: a generalized quantum entropy and a generalization of collisional term of Boltzmann equation. The power law distributions are parameterized by parameters q;, measuring the degree of non-Gaussianity of quantum gas. In the limit q
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Lucilia cuprina (Wiedemann, 1830) is a cosmopolite blowfly species of medical and veterinary importance because it produces myiasis, mainly in ovine. In order to evaluate the demographic characteristics of this species, survivorship curves for 327 adult males and 323 adult females, from generation F1 maintained under experimental conditions, were obtained. Entropy was utilized as the estimator of the survival pattern to quantify the mortality distribution of individuals as a function of age. The entropy values 0.216 (males) and 0.303 (females) were obtained. These results denote that, considering the survivorship interval until the death of the last individual for each sex, the males present a tendency of mortality in more advanced age intervals, in comparison with the females.
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Tsallis postulated a generalized form for entropy and give rise to a new statistics now known as Tsallis statistics. In the present work, we compare the Tsallis statistics with the gradually truncated Levy flight, and discuss the distribution of an economical index-the Standard and Poor's 500-using the values of standard deviation as calculated by our model. We find that both statistics give almost the same distribution. Thus we feel that gradual truncation of Levy distribution, after certain critical step size for describing complex systems, is a requirement of generalized thermodynamics or similar. The gradually truncated Levy flight is based on physical considerations and bring a better physical picture of the dynamics of the whole system. Tsallis statistics gives a theoretical support. Both statistics together can be utilized for the development of a more exact portfolio theory or to understand better the complexities in human and financial behaviors. A comparison of both statistics is made. (C) 2002 Published by Elsevier B.V. B.V.
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Power law scaling is observed in many physical, biological and socio-economical complex systems and is now considered an important property of these systems. In general, power law exists in the central part of the distribution. It has deviations from power law for very small and very large variable sizes. Tsallis, through non-extensive thermodynamics, explained power law distribution in many cases including deviation from the power law. In case of very large steps, the used the heuristic crossover approach. In the present we present an alternative model in which we consider that the entropy factor 9 decreases with variable size due to the softening of long range interactions or memory. We apply this model for distribution of citation index of scientists and examination scores and are able to explain the distribution for entire variable range. In the present model, we can have very sharp cut-off without interfering with power law in its central part as observed in many cases. (C) 2008 Elsevier B.V. All rights reserved.
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Pós-graduação em Biofísica Molecular - IBILCE