This text presents statistical mechanics and thermodynamics as a theoretically integrated field of study. It stresses deep coverage of fundamentals, providing a natural foundation for advanced topics. The large problem sets (with solutions for teachers) include many computational problems to advance student understanding.
This text presents statistical mechanics and thermodynamics as a theoretically integrated field of study. It stresses deep coverage of fundamentals, providing a natural foundation for advanced topics. The large problem sets (with solutions for teachers) include many computational problems to advance student understanding.
Robert H. Swendsen is Professor of Physics at Carnegie Mellon University, where he works primarily in computational statistical mechanics. Professor Swendsen is a Fellow of both the American Physical Society and the American Association for the Advancement of Science. He was given an IBM Outstanding Achievement Award in 1981 and shared a Forefronts of Large-Scale Computational Problems Award with S. Kumar, J.M. Rosenberg, and P.A. Kollman in 1991.
Inhaltsangabe
1: Introduction I Entropy 2: Classical Ideal Gas 3: Discrete probability theory 4: Configurational entropy 5: Continuous random numbers 6: Classical ideal gas: Energy 7: Ideal and "real" gases 8: T, P, µ, and all that II Introduction to Thermodynamics 9: Postulates and Laws of thermodynamics 10: Thermodynamic perturbations 11: Thermodynamic processes 12: Thermodynamic potentials 13: Extensivity 14: Thermodynamic identities 15: Extremum principles 16: Stability conditions 17: Phase transitions 18: Nernst postulate III Classical statistical mechanics 19: Classical ensembles 20: Classical ensembles: grand and otherwise 21: Irreversibility IV Quantum statistical mechanics 22: Quantum ensembles 23: Quantum canoncial ensemble 24: Black-body radiation 25: The harmonic solid 26: Ideal quantum gases 27: Bose-Einstein statistics 28: Fermi-Dirac statistics 29: Insulators and semiconductors 30: The Ising model
