• ВХОД

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    Полное описание

    Naudts, J. Generalised Thermostatistics : монография / by Jan Naudts. - London : Springer, 2011. - on-line. - URL: http://dx.doi.org/10.1007/978-0-85729-355-8. - Загл. с экрана. - ISBN 978-0-85729-355-8. - Текст : электронный.
    Содержание:
    Parameter estimation -- Statistical Models -- Thermodynamic Equilibrium -- The Microcanonical Ensemble -- Hyperensembles -- The Mean Field Approximation -- q-Deformed Distributions -- Tsallis’ Thermostatistics -- Changes of Scale -- General deformations -- General Entropies.

    ГРНТИ УДК
    29.17536.758

    Рубрики:
    mathematics
    physics
    thermodynamics
    statistical physics
    dynamical systems
    mathematics
    mathematics, general
    statistical Physics, Dynamical Systems and Complexity
    mathematical Methods in Physics
    thermodynamics

    Аннотация: The domain of non-extensive thermostatistics has been subject to intensive research over the past twenty years and has matured significantly. Generalised Thermostatistics cuts through the traditionalism of many statistical physics texts by offering a fresh perspective and seeking to remove elements of doubt and confusion surrounding the area. The book is divided into two parts - the first covering topics from conventional statistical physics, whilst adopting the perspective that statistical physics is statistics applied to physics. The second developing the formalism of non-extensive thermostatistics, of which the central role is played by the notion of a deformed exponential family of probability distributions. Presented in a clear, consistent, and deductive manner, the book focuses on theory, part of which is developed by the author himself, but also provides a number of references towards application-based texts. Written by a leading contributor in the field, this book will provide a useful tool for learning about recent developments in generalized versions of statistical mechanics and thermodynamics, especially with respect to self-study. Written for researchers in theoretical physics, mathematics and statistical mechanics, as well as graduates of physics, mathematics or engineering. A prerequisite knowledge of elementary notions of statistical physics and a substantial mathematical background are required.

    http://dx.doi.org/10.1007/978-0-85729-355-8


    Держатели документа:
    Государственная публичная научно-техническая библиотека России : 123298, г. Москва, ул. 3-я Хорошевская, д. 17 (Шифр в БД-источнике (KATBW): -455380158)

    Шифр в сводном ЭК: e88426a3f0647df7267b229ca2aed659



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