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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 .

Short Answer

Expert verified

The rough estimate of the entropy of each of the following:

For1kgbook is S~692.484JK1;

For 400kgmoose is S~184644JK1;

For sun isS~1.6621034JK1.

Step by step solution

01

Step: 1 Finding entropy of book:

We can see that the entropy of an ideal gas is Nktimes a logarithm, and that the entropy of an Einstein solid is likewise Nktimes a logarithm. Because Nis a high number for any macroscopic item and the logarithm is considerably smaller, we may ignore the log part and choose S~Nkfor an approximate order-of-magnitude estimate of the entropy. Here are a few examples of such estimates:

Taking 1kgof carbon with molar mass of 12103kgmol1for 1kgof book,the number of molecule is

N=NumberofatomsinonemoleNumberofmolesN=NumberofatomsinonemoleMassMolarmassN=6.0221023112103N=5.0181025.

Entropy as

S~Nk

Substituting k=1.381023JK1,so the entropy of book as

S~5.01810251.381023S~692.484JK1

02

Step: 2 Finding the entropy of moose:

For a 400kgof mooses,the approximate of 400kgof water with molar mass of 18103kgmol1,the number of molecules is

N=6.022102340018103N=1.3381028

The entropy mooses is

role="math" localid="1650273675935" S~NkS~1.33810281.381023S=184644JK1.

03

Step: 3 Finding entropy of sun:

For sun,the ionized hydrogen of 21030kgwith molar mass is103kgmol1 ,the number of molecules is

N=6.022102321030103N=1.20441057

The entropy is

S~1.204410571.381023S=1.6621034JK1.

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Most popular questions from this chapter

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.

The mixing entropy formula derived in the previous problem actually applies to any ideal gas, and to some dense gases, liquids, and solids as well. For the denser systems, we have to assume that the two types of molecules are the same size and that molecules of different types interact with each other in the same way as molecules of the same type (same forces, etc.). Such a system is called an ideal mixture. Explain why, for an ideal mixture, the mixing entropy is given by

Smixing=klnNNA

where Nis the total number of molecules and NAis the number of molecules of type A. Use Stirling's approximation to show that this expression is the same as the result of the previous problem when both Nand NAare large.

Fun with logarithms.
a Simplify the expressionealnb. (That is, write it in a way that doesn't involve logarithms.)
b Assuming that b<<a, prove that ln(a+b)(lna)+(b/a). (Hint: Factor out the afrom the argument of the logarithm, so that you can apply the approximation of part d of the previous problem.)

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 Ne/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.

Show that during the quasistatic isothermal expansion of a monatomic ideal gas, the change in entropy is related to the heat input Qby the simple formula

s=QT

In the following chapter I'll prove that this formula is valid for any quasistatic process. Show, however, that it is not valid for the free expansion process described above.

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