We claim that the famous exponential decrease of probability with energy is natural, the vastly most probable and disordered state given the constraints on total energy and number of particles. It should be a state of maximum entropy ! The proof involves mathematical techniques beyond the scope of the text, but finding support is good exercise and not difficult. Consider a system of11oscillators sharing a total energy of just50 . In the symbols of Section 9.3. N=11andM=5 .

  1. Using equation(9-9) , calculate the probabilities ofn , being0,1,2, and3 .
  2. How many particlesNn , would be expected in each level? Round each to the nearest integer. (Happily. the number is still 11. and the energy still50 .) What you have is a distribution of the energy that is as close to expectations is possible. given that numbers at each level in a real case are integers.
  3. Entropy is related to the number of microscopic ways the macro state can be obtained. and the number of ways of permuting particle labels withN0 ,N1,N2 , and N3fixed and totaling11 is11!(N0!N1!N2!N3!) . (See Appendix J for the proof.) Calculate the number of ways for your distribution.
  4. Calculate the number of ways if there were6 particles inn=0.5 inn=1 and none higher. Note that this also has the same total energy.
  5. Find at least one other distribution in which the 11 oscillators share the same energy, and calculate the number of ways.
  6. What do your finding suggests?

Short Answer

Expert verified

(a) P(n=0)=0.67,P(n=1)=0.24,P(n=2)=0.07,P(n=3)=0.018

(b) N(n=0)=7;N(n=1)=3;N(n=2)=1;N(n=3)=0

(c) 1320

(d) 462

(e) The number of ways are6.93×104

Step by step solution

01

Concept of the harmonic oscillators

Consider a system of 11 one-dimensional harmonic oscillators whose total energies are50 . It should commensurate to a system with N=11andM=5 .

02

Determine the probability

a. The probabilities for n=0,1,2,3. Use the formula for the probability of finding a particle in state n :

P(n)=(M-n+N-2)!(M-n)!(N-2)!(M+N-1)!(M)!(N-1)! ….(1)

For n=0 , The probability is

P(n=0)=(5-0+11-2)!(5-0)!(11-2)!(5+11-1)!5!(11-1)!

=14!5!9!15!5!10!

=20023003=0.67

For n=1, The probability is

P(n=1)=(5-1+11-2)!(5-1)!(11-2)!(5+11-1)!5!(11-1)!=13!4!9!15!5!10!=7153003=0.24

For n=2, The probability is

P(n=2)=(5-2+11-2)!(5-2)!(11-2)!(5+11-1)!5!(11-1)!=12!3!9!15!5!10!=2203003=0.07

For n=3 , The probability is

P(n=3)=(5-3+11-2)!(5-3)!(11-2)!(5+11-1)!5!(11-1)!=11!2!9!15!5!10!=553003=0.018

03

Determine the occupation Number.

b.

The probable number of particles in each energy level. Also called the occupation number N, the formula is given by:


N(n)=NP(n) ……(2)

For n=0, the expected number of particles is

N(n=0)=11(0.67)=7.377

.

For n=1, the expected number of particles is

N(n=1)=11(0.24)

=2.64

3

For n=2, the expected number of particles is

N(n=2)=11(0.07)

=0.77

1

.

For n=3 , the expected number of particles is

N(n=3)=11(0.018)

=0.198

0

04

Determine the distributed Energy.

C.

The number of ways W for which the energy can be distributed. In this specific problem, the formula we will use is:


W=N!N0!N1!N2!N3!W=11!7!3!1!0!=1320

05

Determine n=0  State Energy.

d. If six particles are in the n=0 state, and five are in the n=1 state, using equation

(3), the number of ways to obtain such a distribution must be

W=11!6!5!0!0!=462

06

Determine the distributed Energy. 

e. The number of ways W. One suitable distribution is N0=7,N1=4,N2=0,N3=0. Calculating the number of ways we have:

W=11!7!4!0!0!=330

Another possible distribution.

N0=5,N1=4,N2=2,N3=0.

The number of ways is:W=11!5!4!2!0!=6930

Let us now attempt to evenly fill all levels. A possible distribution is N0=4,N1=3,N2=2,N3=2. Although it does not appear to be possible for the n=2 and n=3energy levels to have identical probabilities, let us just do so for the sake of finding a trend between and how the energy can be distributed.

The number of ways is:W=11!4!3!2!2!=6.93×104

07

Justification

From our results, we can observe that the probability is decreasing with the increase in the value and also the numbers of particles are decreasing with the increase in the value of n.

Since the entropy is inversely proportional to the number of particle, with the decrease in the number of particle, the entropy will increase. So, the claim that the famous exponential decrease of probability with energy is natural, the vastly most probable and disordered state given the constraints on total energy and number of particles is justified.

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Most popular questions from this chapter

By carrying out the integration suggested just before equation (9-28), show that the average energy of a one-dimensional oscillator in the limit kBT0iskBT.

The electrons’ contribution to the heat capacity of a metal is small and goes to 0as T0. We might try to calculate it via the total internal energy, localid="1660131882505" U=EN(E)D(E)dE, but it is one of those integrals impossible to do in closed form, and localid="1660131274621" N(E)FDis the culprit. Still, we can explain why the heat capacity should go to zero and obtain a rough value.

(a) Starting withN(E)FDexpressed as in equation (34), show that the slope N(E)FDdEatE=EFis-1(4kBT).

(b) Based on part (a), the accompanying figure is a good approximation to N(E)FDwhen Tis small. In a normal gas, such as air, whenTis raised a little, all molecules, on average, gain a little energy, proportional to kBT. Thus, the internal energy Uincreases linearly with T, and the heat capacity, UT, is roughly constant. Argue on the basis of the figure that in this fermion gas, as the temperature increases from 0to a small value T, while some particles gain energy of roughly kBT, not all do, and the number doing so is also roughly proportional to localid="1660131824460" T. What effect does this have on the heat capacity?

(c)Viewing the total energy increase as simply U= (number of particles whose energy increases) (energy change per particle) and assuming the density of states is simply a constant Dover the entire range of particle energies, show that the heat capacity under these lowest-temperature conditions should be proportional to kBREFT. (Trying to be more precise is not really worthwhile, for the proportionality constant is subject to several corrections from effects we ignore).

Example 9.4 investigated one criterion for quantum indistinguishability with reference to atmospheric nitrogen. Here we investigate the other, (a) Calculate the avenge separation between nitrogen molecules in the air. Assume a temperature of 300K a pressure of1atmand air that is 80% nitrogen. (b) Calculate the wave length of a typical nitrogen molecule in the air. (c) How does your result relate to Example 9.4?

When would a density of states be needed: in a sum over states? in a sum over energies? in an integral over energies? in an integral over states?

By considering its constituents, determine the dimensions (e.g. length, distance over lime. etc.) of the denominator in equation(926). Why is the result sensible?

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