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Appendix 2




                                     Recap of statistical thermodynamics







                             The aim of this appendix is to recap, but not demonstrate, certain results
                           in the field of statistical thermodynamics, which  are used in this fourth
                           volume in this series.  These concepts are presented in detail and
                           demonstrated in the first volume:  Phase  Modeling Tools: Applications to
                           Gases [SOU 15b].
                             We know that in the microscopic approach to a phase, we consider that
                           phase to be a collection of molecule-objects whose energies are distributed
                           in accordance with a statistical law. The state of a collection of molecule-
                           objects changes constantly, but over time, the collection reaches a certain
                           type of distribution in which the molecule-objects may be found in different
                           states. The term number of complexions denotes the number of distributions
                           of molecule-objects between the different states they are liable to occupy.
                           Out of all the possible distributions, there is one which corresponds to the
                           maximum number of complexions. Boltzmann’s law allows that the number
                           of complexions corresponding to the most probable type of distribution is
                           practically equal to the total number of complexions, and  vice versa. The
                           state of the collection is then that which corresponds to the maximum
                           number of complexions.

                             Most calculations in statistical thermodynamics are based on Stirling’s
                           approximation, which enables us to simplify the expression of the factorial
                           logarithm n if the number n is large. It is written:

                                     ≅
                                           −
                                 ln ! n ln n n ≅  n ln n                                 [A2.1]
                                   n





                           Chemical Equilibria, First Edition. Michel Soustelle.
                           © ISTE Ltd 2015. Published by ISTE Ltd and John Wiley & Sons, Inc.
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