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When Does a Boltzmannian Equilibrium Exist?

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Current Debates in Philosophy of Science

Part of the book series: Synthese Library ((SYLI,volume 477))

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Abstract

We present a definition of equilibrium for Boltzmannian statistical mechanics based on the long-run fraction of time a system spends in a state. We then formulate and prove an existence theorem which provides general criteria for the existence of an equilibrium state. We illustrate how the theorem works with toy example. After a look at the ergodic programme, we discuss equilibria in a number of different gas systems: the ideal gas, the dilute gas, the Kac gas, the stadium gas, the mushroom gas and the multi-mushroom gas.

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Notes

  1. 1.

    This section is based on Werndl and Frigg (2015a,b). For a discussion of stochastic systems see Werndl and Frigg (2017a).

  2. 2.

    At this point the measure need not be normalised.

  3. 3.

    The dynamics is given by the evolution equations restricted to Z. We follow the literature by denoting it again by \(T_{t}\).

  4. 4.

    We assume that \(\varepsilon \) is small enough so that \(\alpha (1-\varepsilon )> \frac {1}{2}\).

  5. 5.

    We assume that \(\varepsilon <\gamma \).

  6. 6.

    For further examples see Werndl and Frigg (2015a).

  7. 7.

    The proof is given in Werndl and Frigg (2015a).

  8. 8.

    It is allowed that the cells are of measure zero and that there are uncountably many of them.

  9. 9.

    This example also shows that the largest macro-state need not be the equilibrium state: \(X^{\prime \prime }_{M_{w}}\) takes up \(1/2\) of \(X''\) and yet \(M_{w}\) is not the equilibrium state.

  10. 10.

    In detail: \((Z,\Sigma _{Z},\mu _{Z},T_{t})\) is \(\varepsilon \)-ergodic, \(\varepsilon \in \mathbb {R},\,0\leq \varepsilon <1\), iff there is a set \(\hat {Z}\subset Z\), \(\mu _{Z}(\hat {Z})=1-\varepsilon \), with \(T_{t}(\hat {Z})\subseteq \hat {Z}\) for all t, such that the system \((\hat {Z},\Sigma _{\hat {Z}},\mu _{\hat {Z}},T_{t})\) is ergodic, where \(\Sigma _{\hat {Z}}\) and \(\mu _{\hat {Z}}\) is the \(\sigma \)-algebra \(\Sigma _{Z}\) and the measure \(\mu _{Z}\) restricted to \(\hat {Z}\). A system \((Z,\Sigma _{Z},\mu _{Z},T_{t})\) is epsilon-ergodic iff there exists a very small \(\varepsilon \) for which the system is \(\varepsilon \)-ergodic.

  11. 11.

    Note that this is one of crucial differences between the dilute gas and the oscillator with a colour macro-variable of Sect. 10.4: the colour equilibrium does not depend on the system’s energy.

  12. 12.

    The issue is the following Eq. (10.10) gives the distribution of largest size relative to the Lebesgue measure on the 6N-dimensional shell-like domain \(X_{ES}\) specified by the condition that \(E=\sum _{i=1}^{l}N_{i}e_{i}\). It does not give us the distribution with the largest measure \(\mu _{E}\) on the \(6N-1\) dimensional \(Z_{E}\). Strictly speaking nothing about the size of \(Z_{MB}\) (with respect to \(\mu _{E}\)) follows from the combinatorial considerations leading to Eq. (10.10). Yet it is generally assumed that the proportion of the areas corresponding to different distributions are the same on X and on \(X_{E}\) (or at least that the relative ordering is the same). Under that assumption \(Z_{E}\) is indeed the largest macro-region. We agree with Ehrenfest and Ehrenfest (1959, 30) that this assumption is in need of further justification, but grant it for the sake of the argument.

  13. 13.

    One also think of the particles as bouncing back and forth in box. In this case the modulo of the momenta is preserved and a similar argument applies.

  14. 14.

    In terms of the uniform measure on the momentum coordinates.

  15. 15.

    Another possible treatment of the ideal gas is to consider the different macro-state structure given only by the coarse-grained position coordinates (i.e. the momentum coordinates are not considered). Then the effective dynamical system would coincide with the full dynamical system \((\varGamma ,\Sigma _{\varGamma },\mu _{\varGamma },T_{t})\). Relative to this dynamical system there would be an \(\gamma \)-0-equilibrium (namely the uniform distribution). That is, almost all initial conditions would spend most of the time in the macro-state that corresponds to the uniform distribution of the position coordinates.

  16. 16.

    Speed, unlike velocity, is not directional and does not change when particle bounces off the wall.

  17. 17.

    Bunimovich’s (1979) results are about one particle moving in a stadium-shaped box, but they immediately imply the results stated here about n non-interacting particles.

  18. 18.

    It is assumed here that N is a multiple of l.

  19. 19.

    The results in Bunimovich (2002) are all about one particle moving inside a mushroom-shaped box, but they immediately imply the results about a system of n non-interacting particles stated here.

  20. 20.

    How small \(\varepsilon \) is depends on the exact shape of the box of the three elliptic mushrooms (it can be made arbitrarily small).

  21. 21.

    Again, Bunimovich’s (2002) results are all about one particle moving inside a mushroom-shaped box, but they immediately imply the results about a system of n non-interacting particles stated here.

  22. 22.

    This can always be arranged in this way—see Bunimovich (2002).

  23. 23.

    By David Lavis and Reimer Kühn in private conversation.

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Werndl, C., Frigg, R. (2023). When Does a Boltzmannian Equilibrium Exist?. In: Soto, C. (eds) Current Debates in Philosophy of Science. Synthese Library, vol 477. Springer, Cham. https://doi.org/10.1007/978-3-031-32375-1_10

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