Thermodynamics And Statistical Mechanics

By (author) Greiner, Walter; Translated by Rischke D.; By (author) Neise, Ludwig; By (author) Stöcker, Horst
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From the reviews: "This book excels by its variety of modern examples in solid state physics, magnetism, elementary particle physics [...] I can recommend it strongly as a valuable source, especially to those who are teaching basic statistical physics at our universities." Physicalia

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From the reviews: "This book excels by its variety of modern examples in solid state physics, magnetism, elementary particle physics [...] I can recommend it strongly as a valuable source, especially to those who are teaching basic statistical physics at our universities." Physicalia

Table of contents
Foreword; Preface; I. Thermodynamics 1. Equilibrium and State Quantities; 2. The Laws of Thermodynamics; 3. Phase Transitions and Chemical Reactions; 4. Thermodynamic Potentials II. Statistical Mechanics 5. Number of Microstates and Entropy; 6. Ensemble Theory and the Microcanonical Ensemble; 7. The Canonical Ensemble; 8. Application of Boltzmann Statistics; 9. The Macrocanonical Ensemble III. Quantum Statistics 10. Density Operators; 11. The Symmetry Character of Many-Particle Wavefunctions; 12. Grand Canonical Description of Ideal Quantum Systems; 13. The Ideal Bose Gas; 14. Ideal Fermi Gas; 15. Applications of Relativistic Bose and Fermi Gases IV. Real Gases and Phase Transitions 16. Real Gases; 17. Classification of Phase Transitions; 18. The Models of Ising and Heisenberg; Index
Review quote
"This book excels by its variety of modern examples in solid state physics, magnetism, elementary particle physics... In conclusion, I can recommend it strongly as a valuable source, especially to those who are teaching basic statistical physics at our universities." Physicalia
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Based on the highly successful courses given at the Johann Wolfgang Goethe University in Frankfurt, Germany

A complete survey of an area of theoretical physics

Numerous worked examples and problems

Clearly shows how to apply abstract principles to realistic problems