Irreversible Processes: The Onsager and Boltzmann Pictures
The primary objective of this book is to develop a mathematical picture of measurable quantities that can be used to understand macroscopic observations of matter. As we have discussed in Chapter 1, that picture is necessarily stochastic and involves ensembles of systems that are prepared in similar ways. In Chapter 1 we outlined some of the techniques of the theory of stochastic processes that are necessary for understanding physical ensembles. Although we used Brownian motion to illustrate the physical relevance of stochastic processes, the stochastic point of view is essential for understanding all kinds of macroscopic observations. Fluctuations are inherent in all matter because of its molecular constitution. Indeed, one of the lessons of Brownian motion is that these fluctuations are observable and that they are closely related to the irreversible processes caused by molecular motion.
KeywordsEntropy Dioxide Enthalpy Covariance Dinates
Unable to display preview. Download preview PDF.
Linear Statistical Theory of Nonequilibrium Thermodynamics
- L.D. Landau and E.M. Lifshitz, Statistical Physics, 2nd ed. (Pergamon, London 1969).Google Scholar
- G.K. Batchelor, An Introduction to Fluid Dynamics (Cambridge University Press, Cambridge, 1970).Google Scholar
- L. Boltzmann, Lectures on Gas Theory (University of California Press, Berkeley, 1964).Google Scholar
- S. Chapman and T.G. Cowling, The Mathematical Theory of Non-uniform Gases (Cambridge University Press, Cambridge, 1970).Google Scholar
- P. Résibois and M. De Leener, Classical Kinetic Theory of Fluids (John Wiley, New York, 1977).Google Scholar
- G.E. Uhlenbeck and G.W. Ford, Lectures in Statistical Mechanics (American Mathematical Society, Providence, RI, 1963).Google Scholar