Description
Elsevier Statistical Mechanics 4th Edition 2021 by Pathria
Statistical Mechanics, Fourth Edition, explores the physical properties of matter based on the dynamic behavior of its microscopic constituents. This valuable textbook introduces the reader to the historical context of the subject before delving deeper into chapters about thermodynamics, ensemble theory, simple gases theory, Ideal Bose and Fermi systems, statistical mechanics of interacting systems, phase transitions, and computer simulations. In the latest revision, the book's authors have updated the content throughout, including new coverage on biophysical applications, updated exercises, and computer simulations. This updated edition will be an indispensable to students and researchers of statistical mechanics, thermodynamics, and physics.
Key Features
- Retains the valuable organization and trusted coverage of previous market-leading editions
- Includes new coverage on biophysical applications and computer simulations
- Offers Mathematica files for student use and a secure solutions manual for qualified instructors
- Covers Bose-Einstein condensation in atomic gases, Thermodynamics of the early universe, Computer simulations: Monte Carlo and molecular dynamics, Correlation functions and scattering, Fluctuation-dissipation theorem and the dynamical structure factor, and much more
Readership
Advanced UG and Graduate students in title course
Table of Contents
The Statistical Basis of Thermodynamics
2. Elements of Ensemble Theory
3. The Canonical Ensemble
4. The Grand Canonical Ensemble
5. Formulation of Quantum Statistics
6. The Theory of Simple Gases
7. Ideal Bose Systems
8. Ideal Fermi Systems
9. Thermodynamics of the Early Universe
10. Statistical Mechanics of Interacting Systems: The Method of Cluster Expansions
11. Statistical Mechanics of Interacting Systems: The Method of Quantized Fields
12. Phase Transitions: Criticality, Universality, and Scaling
13. Phase Transitions: Exact (or Almost Exact) Results for Various Models
14. Phase Transitions: The Renormalization Group Approach
15. Fluctuations and Nonequilibrium Statistical Mechanics
16. Computer Simulations