Entropy and the Time Evolution of Macroscopic Systems (International Series of Monographs on Physics Book 141)

This book is based on the premise that the entropy concept, a fundamental element of probability theory as logic, governs all of thermal physics, both equilibrium and nonequilibrium. The variational algorithm of J. Willard Gibbs, dating from the 19th Century and extended considerably over the following 100 years, is shown to be the governing feature over the entire range of thermal phenomena, such that only the nature of the macroscopic constraints changes. Beginning with a short history of the development of the entropy concept by Rudolph Clausius and his predecessors, along with the formalization of classical thermodynamics by Gibbs, the first part of the book describes the quest to uncover the meaning of thermodynamic entropy, which leads to its relationship with probability and information as first envisioned by Ludwig Boltzmann. Recognition of entropy first of all as a fundamental element of probability theory in mid-twentieth Century led to deep insights into both statistical mechanics and thermodynamics, the details of which are presented here in several chapters. The later chapters extend these ideas to nonequilibrium statistical mechanics in an unambiguous manner, thereby exhibiting the overall unifying role of the entropy. Contents......Page 8 Preface......Page 12 1.1 Heat......Page 16 1.2 The emergence of entropy......Page 18 1.3 Classical thermodynamics......Page 20 1.4 Is there a deeper interpretation?......Page 24 2 Some clarification from another direction......Page 30 2.1 Information and physics......Page 33 3 The probability connection......Page 36 3.1 The principle of maximum entropy......Page 41 4 Equilibrium statistical mechanics and thermodynamics......Page 49 4.1 The meaning of maximum entropy......Page 58 4.2 Fluctuations......Page 66 4.3 A mischaracterization......Page 70 5 The presumed extensivity of entropy......Page 74 6 Nonequilibrium states......Page 84 6.1 The linear approximation......Page 87 6.2 Simple fluids......Page 90 6.3 A transport example......Page 94 6.4 Inhomogeneous systems......Page 96 6.5 Some reflection......Page 102 7 Steady-state processes......Page 104 7.1 Steady-state transport processes in simple fluids......Page 108 8 Sources and time-dependent processes......Page 114 8.1 Equation of motion revisited......Page 119 9 Thermal driving......Page 122 9.1 Nonequilibrium thermodynamics......Page 127 9.2 Linear heating......Page 130 9.3 A special case: linear dynamic response......Page 134 10 Application to fluid dynamics......Page 139 10.1 Hydrodynamic fluctuations......Page 141 10.2 Fluid dynamics equations of motion......Page 143 10.3 The onset of turbulence......Page 147 10.4 Ultrasonic propagation......Page 150 10.5 Correlations in nonequilibrium fluids......Page 153 11 Irreversibility, relaxation, and the approach to equilibrium......Page 157 11.1 Irreversibility......Page 158 11.2 The second law......Page 163 11.3 Is time asymmetry an issue?......Page 165 11.4 Relaxation and the approach to equilibrium......Page 167 12 Entropy production and dissipation rates......Page 175 12.1 The statistical mechanics formulation......Page 182 Appendix A: Perturbation theory......Page 189 A.1 Fluid equations of motion......Page 193 A.2 Operator identities......Page 194 Appendix B: Dissipative currents and Galilean invariance......Page 196 B.1 Galilean invariance......Page 199 Appendix C: Analytic continuation of covariance functions......Page 204 References......Page 208 L......Page 220 Z......Page 221 E......Page 222 R......Page 223 V......Page 224 The work explicates the concept of entropy, particularly its governance of all of thermal physics, over a broad range of equilibrium and nonequilibrium phenomena. Historical development and modern research are presented in the context of entropy as a fundamental element of probability theory and its relation to information Walter T. Grandy, Jr. Includes Bibliographical References (p. [193]-203) And Indexes.