Predictive Statistical Mechanics
Luzzi, Roberto; Vasconcellos, Aurea R.; Ramos, J. Galvao
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Description for Predictive Statistical Mechanics
paperback. Series: Fundamental Theories of Physics. Num Pages: 344 pages, biography. BIC Classification: PHD; PHFC; PHS; PNR. Category: (P) Professional & Vocational. Dimension: 279 x 210 x 18. Weight in Grams: 858.
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, ... Read more
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, ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer Netherlands
Number of pages
344
Condition
New
Series
Fundamental Theories of Physics
Number of Pages
304
Place of Publication
Dordrecht, Netherlands
ISBN
9789048159635
SKU
V9789048159635
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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