Statistical mechanics: Entropy, order parameters, and complexity
โ Scribed by James P Sethna
- Publisher
- Oxford University Press
- Year
- 2006
- Tongue
- English
- Leaves
- 371
- Series
- Oxford master series in statistical, computational, and theoretical physics
- Edition
- draft
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This completely revised edition of the classical book on Statistical Mechanics covers the basic concepts of equilibrium and non-equilibrium statistical physics. In addition to a deductive approach to equilibrium statistics and thermodynamics based on a single hypothesis this book treats the most important elements of non-equilibrium phenomena. Intermediate calculations are presented in complete detail. Problems at the end of each chapter help students to consolidate their understanding of the material. Beyond the fundamentals, this text demonstrates the breadth of the field and its great variety of applications Sethna distills the core ideas of statistical mechanics to make room for new advances important to information theory, complexity, and modern biology. He explores everything from chaos through to life at the end of the universe. What is statistical mechanics? -- Random walks with emergent properties. -- Temperature and equilibrium. -- Phase-space dynamics and ergodicity. -- Entropy. -- Free energies. -- Quantum statistical mechanics. -- Calculation and computation. -- Order parameters, broken symmetry, and topology. -- Correlations, response, and dissipation. -- Abrupt phase transitions. -- Continuous phase transitions. -- Appendix: Fourier methods
๐ SIMILAR VOLUMES
In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods. Sethna's book takes this step for statistical mechanics--a field rooted in physics and chemistry whose ideas and methods are now
The Original Solution Manual for "Statistical Mechanics: Entropy, Order Parameters, and Complexity" by James P. Sethna
I'm studying for my final physics exams and - after having a look at a half-dozen or so other statistical mechanics book in the library - (none got me really involved) I have just to say that I'm really glad that I decided to buy this book! It's really a joy and fun to read! I think that the other