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  1. Matter, motion and irreversibility. [REVIEW]Peter Clark - 1982 - British Journal for the Philosophy of Science 33 (2):165-185.
  • From phenomenological thermodynamics to the canonical ensemble.H. A. Buchdahl - 1979 - Foundations of Physics 9 (11-12):819-829.
    Given the generic canonical probability in phase φ=exp[β(Ψ-H)], contact is traditionally made with phenomenological thermodynamics by comparing the identity δ〈φ〉=0 with the relationTδS=δU+δW, δ indicating an arbitrary infinitesimal variation of the thermodynamic coordinates and angular brackets ensemble means. This paper is concerned with the inverse problem of finding both the generic form of the phase functionw such thatS=〈w〉 and the explicit form φ=αexp[(F-H)/kT] of the canonical distribution on the basis of the requirement that the consequences of the phenomenological laws must (...)
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  • Random dynamics and the research programme of classical mechanics.Michal Tempczyk - 1991 - International Studies in the Philosophy of Science 5 (3):227-239.
    The modern mathematical theory of dynamical systems proposes a new model of mechanical motion. In this model the deterministic unstable systems can behave in a statistical manner. Both kinds of motion are inseparably connected, they depend on the point of view and researcher's approach to the system. This mathematical fact solves in a new way the old problem of statistical laws in the world which is essentially deterministic. The classical opposition: deterministic‐statistical, disappears in random dynamics. The main thesis of the (...)
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  • Interpretive analogies between quantum and statistical mechanics.C. D. McCoy - 2020 - European Journal for Philosophy of Science 10 (1):9.
    The conspicuous similarities between interpretive strategies in classical statistical mechanics and in quantum mechanics may be grounded on their employment of common implementations of probability. The objective probabilities which represent the underlying stochasticity of these theories can be naturally associated with three of their common formal features: initial conditions, dynamics, and observables. Various well-known interpretations of the two theories line up with particular choices among these three ways of implementing probability. This perspective has significant application to debates on primitive ontology (...)
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  • Why Gibbs Phase Averages Work—The Role of Ergodic Theory.David B. Malament & Sandy L. Zabell - 1980 - Philosophy of Science 47 (3):339-349.
    We propose an "explanation scheme" for why the Gibbs phase average technique in classical equilibrium statistical mechanics works. Our account emphasizes the importance of the Khinchin-Lanford dispersion theorems. We suggest that ergodicity does play a role, but not the one usually assigned to it.
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  • Physics from Fisher information.D. A. Lavis & R. F. Streater - 2002 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 33 (2):327-343.
  • Boltzmann and Gibbs: An attempted reconciliation.D. A. Lavis - 2005 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 36 (2):245-273.
  • Boltzmann, Gibbs, and the concept of equilibrium.David A. Lavis - 2008 - Philosophy of Science 75 (5):682-696.
    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 but as a continuous property measured by the Boltzmann entropy and by introducing the idea of thermodynamic-like behaviour for the Boltzmann entropy. The Kac ring model is used as an example (...)
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  • Philosophy of statistical mechanics.Lawrence Sklar - 2008 - Stanford Encyclopedia of Philosophy.