Some error occured while loading the Quick View. Please close the Quick View and try reloading the page.
Entropy Beyond the Second Law presents a coherent formulation of all aspects of thermodynamics and statistical mechanics with entropy as the unifying theme. This second edition includes the novel entropic treatment of Bose-Einstein condensation, superfluidity, and high temperature superconductivity. The new physical insights and the quantitative agreement with experimental measurement provide concrete examples of the universal approach based on entropy advocated in the book. Thermodynamics and statistical mechanics are important subjects, and students, academics, and researchers require the fundamental concepts to be clearly and concisely presented, as part of a unified whole, and the mathematical derivations to be explained with detailed physical explanation and applications.
Key Features:
- Updated and extended new edition, now includes Bose-Einstein condensation, superfluidity, and high temperature superconductivity
- Self-contained, comprehensive presentation of thermodynamics and statistical mechanics based on entropy.
- Stochastic, dissipative equations of motion for open systems are derived from the second entropy.
- Features first principles derivation of quantum statistical mechanics.
Preface
Preface to the second edition
Acknowledgement
Author biography
1 Entropy counts: universal nature of the statistical entropy
2 Variational formulation of equilibrium thermodynamics via entropy and free energy
3 The entropy for transitions and non-equilibrium systems
4 Entropy for Brownian motion, fluctuations, and stochastic trajectories
5 Equilibrium statistical mechanics and entropy in classical phase space
6 Non-equilibrium statistical mechanics and path entropy
7 Quantum statistical mechanics as entropy collapse in classical phase space
8 Entropy in Bose–Einstein condensation and the λ-transition
9 Superfluidity: flow without entropy dissipation
10 High temperature superconductivity: electrons paired by entropy