Skip to main content
Chemistry LibreTexts

Distribution functions in classical monatomic fluids

  • Page ID
    78478
  • \( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

    \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)

    \( \newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\)

    ( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\)

    \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)

    \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\)

    \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\)

    \( \newcommand{\Span}{\mathrm{span}}\)

    \( \newcommand{\id}{\mathrm{id}}\)

    \( \newcommand{\Span}{\mathrm{span}}\)

    \( \newcommand{\kernel}{\mathrm{null}\,}\)

    \( \newcommand{\range}{\mathrm{range}\,}\)

    \( \newcommand{\RealPart}{\mathrm{Re}}\)

    \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)

    \( \newcommand{\Argument}{\mathrm{Arg}}\)

    \( \newcommand{\norm}[1]{\| #1 \|}\)

    \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\)

    \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\AA}{\unicode[.8,0]{x212B}}\)

    \( \newcommand{\vectorA}[1]{\vec{#1}}      % arrow\)

    \( \newcommand{\vectorAt}[1]{\vec{\text{#1}}}      % arrow\)

    \( \newcommand{\vectorB}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

    \( \newcommand{\vectorC}[1]{\textbf{#1}} \)

    \( \newcommand{\vectorD}[1]{\overrightarrow{#1}} \)

    \( \newcommand{\vectorDt}[1]{\overrightarrow{\text{#1}}} \)

    \( \newcommand{\vectE}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash{\mathbf {#1}}}} \)

    \( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

    \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)

    Consider a system of N particles in a volume V and at temperature T. The probability that each of the N particles is in its volume element drN (i.e. 1 in dr1, 2 in dr2 etc.), is given by

    where ZN is the configuration integral. The r represent a three dimensional volume element, either dxdxydz or df sinq dq r 2dr. The above probability is valid for all of the particles in their respective volume elements simultaneously. If particle 1 is in dr1 etc. through n in drn while the remaining n+1 through N particles can be anywhere, the probability is

    The probability that any particle is in dr1, …, drn irrespective of the configuration of the remaining particles is given by

    The distribution function r (1) indicates the probability that any of the N particles will be found in dr1. For a solution this probability is a constant since the N particles will be found anywhere if we wait a sufficiently long time. In a fluid, therefore

    We can see that this so by substituting into the above equations

    We can define a correlation function such that the probabilities for particles being found in n volume elements can be expressed in terms of the probability that a particle is found in a single volume element.

    where g(n) is a correlation function. If the interactions between the particles were zero, then g(n) would be equal to one. The pair correlation function g(2)(r1,r2) is particularly important since it can related to the experimental structure factor. In a liquid of spherically symmetric molecules g(2)(r1,r2) depends only on the relative distance, r12 between the molecules. We can express g(2)(r1,r2) as g(2)(r12) or simply g(r). These definitions are useful since we can use them to give the probability of observing a molecule at r given that we have a molecule at the origin. In other words we can define a coordination number as a function of distance. The function r g(r)dr gives the probability of observing a particle at r given that there is a molecule at the origin. Using the spherical volume element (and the spherical symmetry of the molecule that we have assumed) we can calculate the probability as follows

    The integral states that there are N-1 particles outside the central particle we are observing. What is interesting is the form of g(r). The function g(r) can be thought of as a factor that multiplies the bulk density r to give a local density about our central molecule of interest. The function g(r) is called the radial distribution function of the liquid. This function is useful because it can be related to liquid structure and thermodynamic properties.

    Relating g(r) to Energy

    From the classical definition of the partition function we can write QN = ZN/N!L 3N .

    The energy is

    where

    The first terms is the mean kinetic energy and the second term is the mean potential energy. If we assume that U can be represented by the pair potential then we have

    The total energy is

    Relating g(r) to Pressure

    The pressure P is given by

    where

    Before differentiating with ZN with respect to V, we change the variables of integration in such a way that the limits become constants and U becomes an explicit function of V. The new variables are x1', y1', z1' etc. where

    XK = V1/3xK' etc.

    Then

    U is a pair potential in this integral as well.

    The derivative with respect to volume is

    where

    Having carried out the differentiation with respect to V, we transform back to the original variables.

    which, when substituted into the equation above gives

    This equation is known as the pressure equation.


    Distribution functions in classical monatomic fluids is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by LibreTexts.

    • Was this article helpful?