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Use the methods of this section to derive a formula, similar to equation2.21, for the multiplicity of an Einstein solid in the "low-temperature" limit,qN .

Short Answer

Expert verified

The formula of the Similar Equation

=eNqq

Step by step solution

01

Solve the problem of solution

The number of microstates in an Einstein solid with Noscillators and qenergy quanta is:

(q,N)=q+N-1q

For any macroscopic solid, both qandN are large numbers (on the order of Avogadro's number, orlocalid="1650382250464" 1023) so the factorials in are very large numbers, not calculable on most computers. To get estimates ofwe can use Stirling's approximation for the factorials. The derivation of this approximation for the high temperature caseq>>N(lots more energy quanta than oscillators) is given in Schroeder's book, so at low temperature case we haveq<<N(lots more oscillators than energy quanta). Writing out the binomial coefficient:

(q,N)=q+N-1q=(q+N-1)!q!(N-1)!(q+N)!q!N!

We can now take logarithms for both sides, we get,

ln()=ln(q+N)!q!N!

but, lnxy=ln(x)-ln(y)and ln(x)-ln(y)=ln(x)+ln(y), so:

ln()=\ln[(q+N)!]-\ln(q!)-\ln(N!)

use Stirling's approximation for the logarithm of a factorial:

ln(n!)nln(n)-n

02

The assumption of Equation

so equation (l) will become:

()=(q+N)ln(q+N)-(q+N)-qln(q)+q-Nln(N)+Nln()=(q+N)ln(q+N)-qln(q)-Nln(N)

If we now make the assumption thatq<<N, we get:

ln()=(q+N)lnN1+qN-qln(q)-Nln(N)ln()=(q+N)ln(N)+ln1+qN-qln(q)-Nln(N)

but forN>>q, we have,ln1+qN =\frac{q}{N}, so:

ln()=(q+N)ln(N)+qN-qln(q)-Nln(N)ln()=qln(N)+q2N+Nln(N)+q-qln(q)-Nln(N)ln()=(qln(N)-qln(q))+q2N+q

but,q\ln(N)-q\ln(q)qlnNq,= so:

ln()=qlnNq+q2N+q

03

Neglect the second term

but asq<<N, so we can neglect the second termq2N', so:

ln()=qlnNq+q

Exponentiating this equation gives the approximate value for:

eln()=eqlnNq+q

=elnNqqeq

but,elnx=x, so:

=Nqqeq

=eNqq

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Most popular questions from this chapter

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.

Describe a few of your favorite, and least favorite, irreversible processes. In each case, explain how you can tell that the entropy of the universe increases.

Find an expression for the entropy of the two-dimensional ideal gas considered in Problem 2.26. Express your result in terms of U,AandN.

Using the same method as in the text, calculate the entropy of mixing for a system of two monatomic ideal gases, Aand B, whose relative proportion is arbitrary. Let Nbe the total number of molecules and letx be the fraction of these that are of speciesB . You should find

Smixing=Nk[xlnx+(1x)ln(1x)]

Check that this expression reduces to the one given in the text whenx=1/2 .

This problem gives an alternative approach to estimating the width of the peak of the multiplicity function for a system of two large Einstein solids.

(a) Consider two identical Einstein solids, each with Noscillators, in thermal contact with each other. Suppose that the total number of energy units in the combined system is exactly 2N. How many different macrostates (that is, possible values for the total energy in the first solid) are there for this combined system?

(b) Use the result of Problem2.18to find an approximate expression for the total number of microstates for the combined system. (Hint: Treat the combined system as a single Einstein solid. Do not throw away factors of "large" numbers, since you will eventually be dividing two "very large" numbers that are nearly equal. Answer: 24N/8蟺狈.)

(c) The most likely macrostate for this system is (of course) the one in which the energy is shared equally between the two solids. Use the result of Problem 2.18to find an approximate expression for the multiplicity of this macrostate. (Answer:24N/(4蟺狈) .)

(d) You can get a rough idea of the "sharpness" of the multiplicity function by comparing your answers to parts (b) and (c). Part (c) tells you the height of the peak, while part (b) tells you the total area under the entire graph. As a very crude approximation, pretend that the peak's shape is rectangular. In this case, how wide would it be? Out of all the macrostates, what fraction have reasonably large probabilities? Evaluate this fraction numerically for the case N=1023.

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