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In: Physics

Calculate ln Omega (k) for N large and k = fN where f is a fraction....

Calculate ln Omega (k) for N large and k = fN where f is a fraction. Assume k and N-k are also large and use Stirling's approximation.

Entropy & 2 nd Law of Thermodynamics

Exam Study. Extremely Urgent.

Solutions

Expert Solution

Configurational entropy refers to the entropy resulting from imperfect mixing of different atoms in the same site in a crystal.

When you roll a die, there are six possible outcomes, with the following probability

    P(X=1) + P(X=2) + ... + P(X=6) = 1

The probability that any particular number will come up is

  •    P(X=1) = P(X=2) = ... = P(X=6) = 1/6

The uncertainty associated with that probability is 0 if one outcome has a probability of 1, and a maximum when the outcomes are equally likely.

Imagine a material with M atoms that can occupy N sites. If the mixing is ideal, the atoms have no interaction with each other, so more than one can occupy the same site. The total number of configurations, , in this system is

  • = NM

    Copyright c 2009 by C.H. Mak

  • But, this is slightly incorrect (in what is known as Gibbs' paradox) because there is overcounting of identical configurations like these

    With the overcounting removed we have

  • = N! / (Np1! * Np2! ...Npn!)
  • where is the probability that a given number of atoms n in a given number of sites N will have a particular configuration. Or
  • ln = ln N! - ln(Npi)!
  • N is always large where moles of material are concerned, so we can simplify this (using Stirling's approximation: ln (N!) = NlnN - N) to
  • ln = -N pilnpi
  • For N atomic sites that can contain fraction XA A atoms and XB B atoms,
  • =
  • where is the probability that a given number of atoms M in a given number of sites N will have a particular configuration.

    Boltzmann defined configurational entropy as

  • Sconfigurational = k ln (This is engraved on Boltzmann's tomb in Vienna!)
  • Simplified with Stirling's approximation (and recalling that R = Nk) to
  • S = - n R (XAln XA + XBln XB)
  • where n is the number of sites per mole. For example in cordierite there are 4 Al atoms and 5 Si atoms distributed over 9 tetrahedral sites. For a random distribution the entropy is
  • S = - 9 R (4/9 ln 4/9 + 5/9 ln 5/9) = 51.39 J mol-1 K-1

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