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Fill in the algebraic steps to derive the Sackur-Tetrode equation(2.49).

Short Answer

Expert verified
  • The Sackur -Tetrode equation is

S=NklnVN4h232mπU3N32+52

Step by step solution

01

The entropy of substance 

  • The entropy of a substance is given as:

S=kln(Ω) (1)

  • where Ωis the number of microstates accessible to the substance. For a 3-dideal gas, this is given by Schroeder's equation 2.40:

Ω=VNN!h3N(2mπU)3N23N2! (2)

  • where Vis the volume, Uis the energy, Nis the number of molecules, mis the mass of a single molecule and his Planck's constant. We can further approximate this formula by using Stirling's approximation for the factorials:

n!2πnnnen

we get,

role="math" localid="1650298531903" N!2πNNNeN3N2!2π3N23N23N2e3N2 (3)&(4)

02

The entropy of a substance expression

3N2!N!2π3N23N23N2e3N22πNNNeN3N2!N!2π3N23N+12NN+12e5N2

  • When Nis large, we can throw away a couple of factors:

3N2!N!3N23N2NNe5N23N2!N!(3)3N2(2)3N2N5N2C25N (5)

substitute from (5)into (2), we get:

ΩVNh3N(2mπU)3N2(3)3N2(2)3N2N5N26N2ΩVN(mπU)3N2h3N(2)3N2(3)3N2(2)3N2N5N2e5N2ΩVN(mπU)3N2h3N(2)3Ne5N2(3)3N2N5N2

03

The entropy of a substance expression

ΩVN2h3NmπU33N2eN5N2ΩVN2h3mπU3N32Ne5N2ΩVN2h232mπU3N32Ne5N2ΩVN4h232mπU3N32Ne5N2ΩVN4mπU3h2N32Ne5N2

take the natural logarithm for both sides, and take into account role="math" localid="1650302000554" ln(ab)=ln(a)+ln(b)andlnab=ln(a)ln(b), so:

ln(Ω)NlnVN4h232mπU3N32+lne5N2ln(Ω)NlnVN4h232mπU3N32+5N2ln(Ω)NlnVN4h232mπU3N32+52

  • This gives the entropy of an ideal gas (from equation (1)) as:

S=NklnVN4h232mπU3N32+52

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Most popular questions from this chapter

Use Stirling's approximation to find an approximate formula for the multiplicity of a two-state paramagnet. Simplify this formula in the limit NNto obtain ΩNe/NN. This result should look very similar to your answer to Problem 2.17; explain why these two systems, in the limits considered, are essentially the same.

The mathematics of the previous problem can also be applied to a one-dimensional random walk: a journey consisting of Nsteps, all the same sic, cache chosen randomly to be cither forward or backward. (The usual mental image is that of a drunk stumbling along an alley.)

(a) Where are you most likely to find yourself, after the end of a long random walk?

(b) Suppose you take a random walk of 10,000steps (say each a yard long). About how far from your starting point would you expect to be at the end?

(c) A good example of a random walk in nature is the diffusion of a molecule through a gas; the average step length is then the mean free path, as computed in Section 1.7.Using this model, and neglecting any small numerical factors that might arise from the varying step size and the multidimensional nature of the path, estimate the expected net displacement of an air molecule (or perhaps a carbon monoxide molecule traveling through air) in one second, at room temperature and atmospheric pressure. Discuss how your estimate would differ if the clasped time or the temperature were different. Check that your estimate is consistent with the treatment of diffusion in Section1.7.

For either a monatomic ideal gas or a high-temperature Einstein solid, the entropy is given by times some logarithm. The logarithm is never large, so if all you want is an order-of-magnitude estimate, you can neglect it and just say . That is, the entropy in fundamental units is of the order of the number of particles in the system. This conclusion turns out to be true for most systems (with some important exceptions at low temperatures where the particles are behaving in an orderly way). So just for fun, make a very rough estimate of the entropy of each of the following: this book (a kilogram of carbon compounds); a moose of water ; the sun of ionized hydrogen .

Rather than insisting that all the molecules be in the left half of a container, suppose we only require that they be in the leftmost 99%(leaving the remaining 1%completely empty). What is the probability of finding such an arrangement if there are 100molecules in the container? What if there are 10,000molecules? What if there are 1023?

Suppose you flip 50fair coins.

(a) How many possible outcomes (microstates) are there?

(b) How many ways are there of getting exactly25heads and25tails?

(c) What is the probability of getting exactly 25heads and 25tails?

(d) What is the probability of getting exactly 30heads and 20tails?

(e) What is the probability of getting exactly 40heads and 10 tails?

(f) What is the probability of getting 50heads and no tails?

(g) Plot a graph of the probability of getting n heads, as a function of n.

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