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Consider a system of two Einstein solids, with N{A} = 300, N{B} = 200 and q{total} = 100 (as discussed in Section 2.3). Compute the entropy of the most likely macrostate and of the least likely macrostate. Also compute the entropy over long time scales, assuming that all microstates are accessible. (Neglect the factor of Boltzmann's constant in the definition of entropy; for systems this small it is best to think of entropy as a pure number.) 65

Short Answer

Expert verified

The macrostate is

  1. For the most likely macrostate: S = 264.2
  2. For the least likely macrostate: S = 187.52
  3. For the most likely macrostateS=267

Step by step solution

01

Step :1 Expression of Einstein solids

Consider two Einstein solids with NA=300, NB= 200 and q = 100 .

The most likely macrostate will see the energy divided proportionately between the two solids,

so qA=60 and qB=40 .

The multiplicity of this macrostate is give by:

Ω=ΩAΩB

where,ΩA=qA+NA−1qAΩA=qA+NA−1qA

The multiplicity of this macrostate is therefore:

Ω=qA+NA−1qAqA+NA−1qAΩ=qA+NA−1!qA!NA−1!qB+NB−1!qB!NB−1!

substitute with

NA=300,NB=200,qA=60andqB=40,so:

Ω=(60+300−1)!60!(300−1)!(40+200−1)!40!(200−1)!=6.866×10114S=±ô²ÔΩ=ln6.866×10114=264.42

02

Step :2 Expression of solve 

  • The least likely macrostate would find all the energy in the smaller solid, so that qA= 0 and qB=100. In that case:

Ω=qA+NA−1!qA!NA−1!qB+NB−1!qB!NB−1!=(299)!100!(199)!Ω=2.772×1081S=±ô²ÔΩ=ln2.772×1081=187.52

  • Over long time scales, the interaction between the solids mean that all microstates are accessible. In this case the multiplicity is:

Ω=qA+qB+NA+NB−1qA+qB=599100Ω=9.262×10115S=±ô²ÔΩ=ln9.262×10115=267

  • Thus the most probable state with the solids divided has almost as much entropy as when the whole system is a single state. In most calculators, these binomial coefficients are non calculable, so you can use the following python code to calculate these cofficients.

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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.

Consider a system of two Einstein solids, \(A\) and \(B\), each containing 10 oscillators, sharing a total of 20 units of energy. Assume that the solids are weakly coupled, and that the total energy is fixed.

(a) How many different macrostates are available to this system?

(b) How many different microstates are available to this system?

(c) Assuming that this system is in thermal equilibrium, what is the probability of finding all the energy in solid \(A\) ?

(d) What is the probability of finding exactly half of the energy in solid \(A\) ?

(e) Under what circumstances would this system exhibit irreversible behavior?

Rather than insisting that all the molecules be in the left half of a container, suppose we only require that they be in the leftmost 99%(leaving the remaining 1%completely empty). What is the probability of finding such an arrangement if there are 100molecules in the container? What if there are 10,000molecules? What if there are 1023?

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.

For each of the following irreversible processes, explain how you can tell that the total entropy of the universe has increased.
a Stirring salt into a pot of soup.
b Scrambling an egg.
c Humpty Dumpty having a great fall.
d A wave hitting a sand castle.
e Cutting down a tree.
fBurning gasoline in an automobile.

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