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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~692.484J×K1;

For 400kgmoose is S~184644J×K1;

For sun isS~1.662×1034J×K1.

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 12×103kg×mol1for 1kgof book,the number of molecule is

N=Numberofatomsinonemole×NumberofmolesN=Numberofatomsinonemole×MassMolarmassN=6.022×1023×112×103N=5.018×1025.

Entropy as

S~Nk

Substituting k=1.38×1023J×K1,so the entropy of book as

S~5.018×1025×1.38×1023S~692.484J×K1

02

Step: 2 Finding the entropy of moose:

For a 400kgof mooses,the approximate of 400kgof water with molar mass of 18×103kg×mol1,the number of molecules is

N=6.022×1023×40018×103N=1.338×1028

The entropy mooses is

role="math" localid="1650273675935" S~NkS~1.338×1028×1.38×1023S=184644J×K1.

03

Step: 3 Finding entropy of sun:

For sun,the ionized hydrogen of 2×1030kgwith molar mass is103kg×mol1 ,the number of molecules is

N=6.022×1023×2×1030103N=1.2044×1057

The entropy is

S~1.2044×1057×1.38×1023S=1.662×1034J×K1.

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Most popular questions from this chapter

Use a pocket calculator to check the accuracy of Stirling's approximation forN=50 . Also check the accuracy of equation 2.16forlnN! .

Suppose you flip1000 coins.
a What is the probability of getting exactly 500heads and 500tails? (Hint: First write down a formula for the total number of possible outcomes. Then, to determine the "multiplicity" of the 500-500"macrostate," use Stirling's approximation. If you have a fancy calculator that makes Stirling's approximation unnecessary, multiply all the numbers in this problem by 10, or 100, or1000, until Stirling's approximation becomes necessary.)
bWhat is the probability of getting exactly 600heads and400 tails?

Write e1023in the form 10x, for somex.

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.

Use Stirling's approximation to show that the multiplicity of an Einstein solid, for any large values ofNandlocalid="1650383388983" q,is approximately

Omega(N,q)q+Nqqq+NNN2πq(q+N)/N

The square root in the denominator is merely large, and can often be neglected. However, it is needed in Problem2.22. (Hint: First show thatΩ=Nq+N(q+N)!q!N!. Do not neglect the2πNin Stirling's approximation.)

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