Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-26T03:29:37.129Z Has data issue: false hasContentIssue false

Boltzmann, Gibbs, and the Concept of Equilibrium

Published online by Cambridge University Press:  01 January 2022

Abstract

The Boltzmann and Gibbs approaches to statistical mechanics have very different definitions of equilibrium and entropy. The problems associated with this are discussed, and it is suggested that they can be resolved, to produce a version of statistical mechanics incorporating both approaches, by redefining equilibrium not as a binary property (being/not being in equilibrium) but as a continuous property (degrees of equilibrium) measured by the Boltzmann entropy and by introducing the idea of thermodynamic-like behavior for the Boltzmann entropy. The Kac ring model is used as an example to test the proposals.

Type
New Approaches to Equilibrium in Thermodynamics and Statistical Mechanics
Copyright
Copyright © The Philosophy of Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This is a modified version of the paper presented at the twentieth biennial meeting of the Philosophy of Science Association, Vancouver, Canada, November 2006. I am grateful to the organizers for giving me the opportunity to contribute to the conference and to Roman Frigg for many useful discussions.

References

Birkhoff, Garrett D. (1931), “Proof of the Ergodic Theorem”, Proof of the Ergodic Theorem 17:656660.Google ScholarPubMed
Bishop, Robert C. (2004), “Nonequilibrium Statistical Mechanics Brussels-Austin Style”, Nonequilibrium Statistical Mechanics Brussels-Austin Style 35:130.Google Scholar
Bricmont, Jean (1995), “Science of Chaos or Chaos in Science?”, Science of Chaos or Chaos in Science? 17:159208.Google Scholar
Bricmont, Jean (2001), “Bayes, Boltzmann and Bohm: Probabilities in Physics”, in Bricmont, J., Dürr, D., Galvotti, M. C., Ghirardi, G., Petruccione, F., and Zanghi, N. (eds.), Chance in Physics: Foundations and Perspectives. Berlin: Springer, 321.CrossRefGoogle Scholar
Earman, John, and Rédei, Miklós (1996), “Why Ergodic Theory Does Not Explain the Success of Equilibrium Statistical Mechanics”, Why Ergodic Theory Does Not Explain the Success of Equilibrium Statistical Mechanics 47:6378.Google Scholar
Ehrenfest, Paul, and Ehrenfest-Afanassjewa, Tatiana (1912), The Conceptual Foundations of the Statistical Approach in Mechanics. Ithaca, NY: Cornell University Press.Google Scholar
Goldstein, Sheldon (2001), “Boltzmann's Approach to Statistical Mechanics”, in Bricmont, J., Dürr, D., Galvotti, M. C., Ghirardi, G., Petruccione, F., and Zanghi, N. (eds.), Chance in Physics: Foundations and Perspectives. Berlin: Springer, 3954.CrossRefGoogle Scholar
Kac, Mark (1959), Probability and Related Topics in the Physical Sciences. London: Interscience.Google Scholar
Lavis, David A. (1977), “The Role of Statistical Mechanics in Classical Physics”, The Role of Statistical Mechanics in Classical Physics 28:255279.Google Scholar
Lavis, David A. (2005), “Boltzmann and Gibbs: An Attempted Reconciliation”, Boltzmann and Gibbs: An Attempted Reconciliation 36:245273.Google Scholar
Lebowitz, Joel L. (1993), “Boltzmann's Entropy and Time's Arrow”, Boltzmann's Entropy and Time's Arrow 46:3238.Google Scholar
Lebowitz, Joel L. (1999), “Statistical Mechanics: A Selective Review of Two Central Issues”, Statistical Mechanics: A Selective Review of Two Central Issues 71:S346S357.Google Scholar
Prigogine, Ilya (1994), Les Lois du Chaos. Paris: Flammarion.Google Scholar
von Plato, Jan (1989), “Probability in Dynamical Systems”, in Fenstad, J. E., Frolov, I. T., and Hilpinen, R. (eds.), Logic, Methodology and Philosophy of Science VIII. Amsterdam: Elsevier, 427443.Google Scholar
Vranas, Peter B. M. (1998), “Epsilon-Ergodicity and the Success of Equilibrium Statistical Mechanics”, Epsilon-Ergodicity and the Success of Equilibrium Statistical Mechanics 65:688708.Google Scholar