Generalised thermostatistics

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...

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Bibliographische Detailangaben
1. Verfasser: Naudts, Jan
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: London : Springer London : Springer e-books [20..].
Cham : Springer Nature
Schlagworte:
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Anmerkung: Description d'après consultation du 25 avril 2012
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Edition sous un autre format:• Generalised Thermostatistics, Texte imprimé, 9780857293541
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245 1 0 |a Generalised thermostatistics   |c Jan Naudts. 
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500 |a Description d'après consultation du 25 avril 2012 
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500 |a Archives Springer e-books (Licence nationale) 
504 |a Index p. 199-201 
505 1 |a 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 
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520 |a 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 
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