The argument given above for why CvTdoes not depend on the details of the energy levels available to the fermions, so it should also apply to the model considered in Problem 7.16: a gas of fermions trapped in such a way that the energy levels are evenly spaced and non-degenerate.

(a) Show that, in this model, the number of possible system states for a given value of q is equal to the number of distinct ways of writing q as a sum of positive integers. (For example, there are three system states for q = 3, corresponding to the sums 3, 2 + 1, and 1 + 1 + 1. Note that 2 + 1 and 1 + 2 are not counted separately.) This combinatorial function is called the number of unrestricted partitions of q, denoted p(q). For example, p(3) = 3.

(b) By enumerating the partitions explicitly, compute p(7) and p(8).

(c) Make a table of p(q) for values of q up to 100, by either looking up the values in a mathematical reference book, or using a software package that can compute them, or writing your own program to compute them. From this table, compute the entropy, temperature, and heat capacity of this system, using the same methods as in Section 3.3. Plot the heat capacity as a function of temperature, and note that it is approximately linear.

(d) Ramanujan and Hardy (two famous mathematicians) have shown that when q is large, the number of unrestricted partitions of q is given approximately by

p(q)eπ2q343q

Check the accuracy of this formula for q = 10 and for q = 100. Working in this approximation, calculate the entropy, temperature, and heat capacity of this system. Express the heat. capacity as a series in decreasing powers of kT/η, assuming that this ratio is large and keeping the two largest terms. Compare to the numerical results you obtained in part (c). Why is the heat capacity of this system independent of N, unlike that of the three dimensional box of fermions discussed in the text?

Short Answer

Expert verified

a, explanation has been given.

b. For q=7,

7,6+1,5+2,5+1+1,4+3,4+2+1,4+1+1+1,3+1+1+1+1,2+1+1+1+1+1,1+1+1+1+1+1+1

For q=8,

8,7+1,6+2,6+1+1,5+3,5+2+1,5+1+1+1,4+4,4+3+1,4+2+1+1,4+1+1+1+1,3+2+1+1+1,3+1+1+1+1+1,2+1+1+1+1+1+1,1+1+1+1+1+1+1+1

c. The plot found is using python plot is approximately linear.

d. p(10)=48p(100)=199280893

S=Klneπ2q343q

1T=Kηπ6q-1q

Cvkπ2t3-2

Step by step solution

01

Part (a) Step 1: Given information

We have given,

CvT

We have to explain the function p in term of q show it is verity.

02

Simplify

Here the value of q explains the no. of energy levels.

For example as given for q=3, then we can write,

1+1+1

2+1

3

It is explain the how we can distribution the number of q.

03

Part (b) Step 1: Given information

We have to findp(7),p(8)using above rule.

04

Simplify

For q=7, we can write

7,6+1,5+2,5+1+1,4+3,4+2+1,4+1+1+1,3+1+1+1+1,2+1+1+1+1+1,1+1+1+1+1+1+1

For q=8, we can write,

8,7+1,6+2,6+1+1,5+3,5+2+1,5+1+1+1,4+4,4+3+1,4+2+1+1,4+1+1+1+1,3+2+1+1+1,3+1+1+1+1+1,2+1+1+1+1+1+1,1+1+1+1+1+1+1+1

05

part (c) Step 1: Given information,

We have to plot the graph of heat capacity as function of temperature.

06

Simplify

The table for p(q) for the values of q up to 100 is given by using the python code as given below.

For this we can use the python code and we will get the plot as shown in figure.

The out put is following

(1,1,2,3,5,7,11,15,22,30,42,56,77,101,135,176,231,297,385,490,627792,1002,1255,1575,1958,2436,3010,3718,4565,5604,6842,8349,10143,12310,14883,17977,21977,21637,26015,31185,37338,44583,5269823,614154,715220,831820.............15019136,169229875,190569292)

then entropy will found as

S=Kinω

then, capacity will be,

CV=UT

Then the code of python to p[lot the curve between the entropy and the temperature is given by,

Then the code of python to p[lot the curve between the entropy and the temperature is given by,

07

Part (d) Step 1: Given information

We have given,

p(q)eπ2q343q

we have to calculate the heat capacity ,temperature and entropy of the system.

08

Simplify

For q=10, we can write,

p(q)eπ2q343qp(10)=eπ20343×10p(10)=48

For q=100, we can write,

p(q)eπ2q343qp(100)=eπ200343×100p(10)=199280893

09

Simplify 

The entropy of the system is given by,

S=KlnΩS=Kln(p(q))S=Klneπ2q343q

Then, the temperature is ,

1T=1ηSq1T=Kηqlneπ2q343q1T=Kηπ6q-1q

The heat capacity is given by,

Cv=kqtCvkπ2t3-2

Here, t is given by,

t=kTη

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Most popular questions from this chapter

(a) Estimate (roughly) the total power radiated by your body, neglecting any energy that is returned by your clothes and environment. (Whatever the color of your skin, its emissivity at infrared wavelengths is quite close to 1; almost any nonmetal is a near-perfect blackbody at these wavelengths.)

(b) Compare the total energy radiated by your body in one day (expressed in kilocalories) to the energy in the food you cat. Why is there such a large discrepancy?

(c) The sun has a mass of 2×1030kgand radiates energy at a rate of 3.9×1026watts. Which puts out more power per units mass-the sun or your body?

Sketch the heat capacity of copper as a function of temperature from 0to5K, showing the contributions of lattice vibrations and conduction electrons separately. At what temperature are these two contributions equal?

Starting from the formula for CV derived in Problem 7.70(b), calculate the entropy, Helmholtz free energy, and pressure of a Bose gas for T<Tc. Notice that the pressure is independent of volume; how can this be the case?

Problem 7.69. If you have a computer system that can do numerical integrals, it's not particularly difficult to evaluate μforT>Tc.

(a) As usual when solving a problem on a computer, it's best to start by putting everything in terms of dimensionless variables. So define t=T/Tc,c=μ/kTc,andx=ϵ/kTc. Express the integral that defines , equation 7.22, in terms of these variables. You should obtain the equation

2.315=0xdxe(x-c)/t-1

(b) According to Figure

the correct value of cwhen T=2Tcis approximately -0.8. Plug in these values and check that the equation above is approximately satisfied.

(c) Now vary μ, holding Tfixed, to find the precise value of μfor T=2Tc. Repeat for values of T/Tcranging from 1.2up to 3.0, in increments of 0.2. Plot a graph of μas a function of temperature.

Figure 7.37 shows the heat capacity of a Bose gas as a function of temperature. In this problem you will calculate the shape of this unusual graph.

(a) Write down an expression for the total energy of a gas of Nbosons confined to a volume V, in terms of an integral (analogous to equation 7.122).

(b) For T<Tcyou can set μ=0. Evaluate the integral numerically in this case, then differentiate the result with respect to Tto obtain the heat capacity. Compare to Figure 7.37.

(c) Explain why the heat capacity must approach 32Nkin the high- Tlimit.

(d) For T>Tcyou can evaluate the integral using the values of μcalculated in Problem 7.69. Do this to obtain the energy as a function of temperature, then numerically differentiate the result to obtain the heat capacity. Plot the heat capacity, and check that your graph agrees with Figure 7.37.

Figure 7.37. Heat capacity of an ideal Bose gas in a three-dimensional box.

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