Predictive Statistical Mechanics

A Nonequilibrium Ensemble Formalism
2002
ISBN: 978-1-4020-0482-7
Verlag: Springer Netherlands

Buch, Englisch, 304 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1470 g

Reihe: Fundamental Theories of Physics

Chapters 1 to 5 include a description of the philosophy, foundations, and construction (methodology) of the formalism, including the derivation of a nonequilibrium grand-canonical ensemble for far-from-equilibrium systems as well as the derivation of a quantum nonlinear kinetic theory and a response function theory together with a theory of scattering. In chapter 6 applications of the theory are cataloged, making comparisons with experimental data (a basic step for the validation of any theory). Chapter 7 is devoted to the description of irreversible thermodynamics, providing a far-reaching generalization of Informational-Statistical Thermodynamics. The last chapter gives an overall picture of the formalism, and questions and criticisms related to it are discussed.

Zielgruppe

Research

Autoren/Hrsg.

Luzzi, Roberto

Galvão Ramos, J.

Vasconcellos, Áurea R.

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Strömungslehre
• Naturwissenschaften Physik Thermodynamik Festkörperphysik, Kondensierte Materie
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Naturwissenschaften Physik Mechanik Kontinuumsmechanik, Strömungslehre
• Naturwissenschaften Chemie Physikalische Chemie
• Naturwissenschaften Physik Mechanik Klassische Mechanik, Newtonsche Mechanik

Inhaltsverzeichnis

1. Maxent-Nesom in Equilibrium Conditions.- 2. Maxent-Nesom for Dissipative Processes in Open Systems.- 3. Nonequilibrium Generalized Grand-Canonical Ensemble.- 4. Maxent-Nesom-Based Kinetic Theory.- 5. Response Function Theory.- 6. Theory and Experiment.- 7. Informational Statistical Thermodynamics.- 8. Final Remarks.- Appendices.- The variational procedure.- Calculation of Eq. (4.15).- The Partial Collision Operators of Eq. (4.24).- Calculation of Eq. (4.49).- An illustration of the use of Markovian equations.- Calculation of Eq. (4.63).- The Dielectric Function.- Name Index.