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Statistical Foundations of Irreversible Thermodynamics

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概要 Some aspects of the physics of many-body systems arbitrarily away from equilibrium, mainly the characterization and irreversible evolution of their macroscopic state, are considered. The present statu...s of phenomenological irreversible thermodynamics is described. An approach for building a statistical thermodynamics - dubbed Informational-Statistical-Thermodynamics - based on a non-equilibrium statistical ensemble formalism is presented. The formalism can be considered as encompassed within the scope of the so-called Predictive Statistical Mechanics, in which the predictability of future states in terms of the knowledge of present and past states, and the question of historicity in the case of systems with complex behaviour, is its main characteristic. The book is recommended for researchers in the area of non-equilibrium statistical mechanics and thermodynamics, as well as a textbook for advanced courses for graduate students in the area of condensed matter physics.続きを見る
目次 1 Irreversible Thermodynamics
2 Nonequilibrium Statistical Operator Method
3 Informational Statistical Thermodynamics
4 Properties of the Informational Statistical Thermodynamic Entropy
4.1 Nonequilibrium Grand-Canonical Ensemble
4.2 Kinetic theory in terms of the fluxes: A nonclassical hydrodynamics
4.3 The Lagrange multipliers
4.4 The nonequilibrium thermodynamics with fluxes (grand-canonical)
4.5 Thermodynamics of a fermion system
4.6 Some Properties of the Informational-Statistical Entropy
4.7 The nonequilibrium equations of state
4.8 A generalized ?-theorem
4.9 Evolution and (in)stability criteria
4.10 Generalized Clausius relation in ist
4.11 Fluctuations and Maxwell-like relations
4.12 A Boltzmann-like relation
4.13 Complementarity of Descriptions
4.14 Summary of Chapter 4 and further Considerations
5 Concluding Remarks
Appendix I: Chronology of Relevant Events in the History of Thermodynamics and Statistical Mechanics
Bibliography to the Appendix I
Appendix II: Production of Informational Entropy
Name Index.
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登録日 2020.06.27
更新日 2020.06.28