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March 1, 1954The Journal of Chemical Physics1,838 citations

Markoff Random Processes and the Statistical Mechanics of Time-Dependent Phenomena. II. Irreversible Processes in Fluids

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MGMelville S. Green

Key Points

  • The study aims to apply previous methodologies to understand irreversible processes in fluids using statistical mechanics.
  • Applied methodologies from a prior study to analyze irreversible processes in fluids.
  • Identified gross variables based on plane-wave expansion coefficients of particle densities.
  • Derived phenomenological equations for viscosity, diffusion, and heat conductivity.
  • Derived expressions for viscosity, diffusion, and heat conductivity in terms of autocorrelation coefficients.
  • Results align with Chapman-Enskog expressions for dilute gases, validating the approach.
  • Expressed findings applicable to both liquids and gases.

Abstract

The procedures developed in a previous paper of the same main title are applied to the specific case of irreversible processes in fluids. The gross variables are chosen to be a finite number of the plane-wave expansion coefficients of the local particle, momentum and energy densities. As an example, the gross variables describing the local particle density are ∑ i=1Nexpik·xi,where pi and xi are the momentum and position of the ith molecule and N the total number. k runs over a finite number of values which are all small compared to the reciprocal mean distance between molecules. The phenomenonological equations are derived and expressions are given for the viscosity, diffusion, and heat conductivity in terms the autocorrelation coefficients of certain phase functions. These expressions are supposed to be valid for both liquids and gases. They are shown to coincide with the Chapman-Enskog expressions for dilute gases.

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Cite This Study

Melville S. Green (1954) studied this question.

synapsesocial.com/papers/69d90e60cc20f7a91c3aff00https://doi.org/10.1063/1.1740082
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