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Suppose you flip four fair coins.

(a) Make a list of all the possible outcomes, as in Table 2.1.

(b) Make a list of all the different "macrostates" and their probabilities.

(c) Compute the multiplicity of each macrostate using the combinatorial formula 2.6, and check that these results agree with what you got by bruteforce counting.

Short Answer

Expert verified

Determine the multiplicity of each macrostate and ensure that the result is agree with got by brute force counting is

Ω(0tails)=Ω(4,0)=40=1Ω(1tails)=Ω(4,1)=41=4Ω(2tails)=Ω(4,2)=42=6Ω(3tails)=Ω(4,3)=43=4Ω(4tails)=Ω(4,4)=44=1

Step by step solution

01

Step1:Given data

Assume we have four distinguishable fair (equally likely to land heads or tails) coins. There are two if we flip all four. 24=16possible outcomes, because each coin has two possible states and the four coins are distinct from one another Each of these states is referred to as a microstate. On the other hand, we might be more interested in the total number of heads or tails rather than which coins came up in either state. In this case, we'd only be interested in the overall condition of the four coin collection.

02

Step2:Possible outcomes(part a)

(a)

03

Step3:Macrostate possibilities(part b)

(b)To make things easier to count, I converted the four coin states into binary numbers usingH=0 andT=1, then simply counted how many times each number appeared. for example:

- if the sum =0, so we have0tails.

- if the sum=1so we have1tails.

- if the sum =2, so we have 2tails.

- if the sum=3,so we have3tails.

- if the sum=4, so we have3tails.

04

Step4:possible outcomes(part b)

05

Step5:final probability(part b)

06

Step6:multiplicity macrostate(part c)

(c) In general, we can calculate the probability of getting n heads in N coin flips. The problem can be thought of as the number of ways to choose n coins from a total of N and make these n coins the heads with the remaining N-n tails. We have N coins to choose from for the first of the n coins, so there are N ways to make this first selection. With that first coin selected, there areN-1coins from which we can select the next head, and so on, until we reach the final head. for which we have N-n+1choices. Thus the number of ways of choosing n coins from N in which the order of the choice does matter is:

N(N−1)…(N−n+1)=N!(N−1)!

However, for a given macrostate, the order in which we choose the heads is irrelevant, and because there are n! ways to order each of the macrostates, the actual number of ways to choose the macrostate with n heads isΩ(N,n)=N!(N−1)!n!=Nn

That is, Ω(N,n)is the binomial coefficientNn. So the multiplicity of macrostates:

Ω(0tails)=Ω(4,0)=40=1Ω(1tails)=Ω(4,1)=41=4Ω(2tails)=Ω(4,2)=42=6Ω(3tails)=Ω(4,3)=43=4Ω(4tails)=Ω(4,4)=44=1

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Most popular questions from this chapter

For a single large two-state paramagnet, the multiplicity function is very sharply peaked about N↑=N/2.

(a) Use Stirling's approximation to estimate the height of the peak in the multiplicity function.

(b) Use the methods of this section to derive a formula for the multiplicity function in the vicinity of the peak, in terms of x≡N↑−(N/2). Check that your formula agrees with your answer to part (a) when x=0.

(c) How wide is the peak in the multiplicity function?

(d) Suppose you flip 1,000,000coins. Would you be surprised to obtain heads and 499,000 tails? Would you be surprised to obtain 510,000 heads and 490,000 tails? Explain.

Use the Sackur-Tetrode equation to calculate the entropy of a mole of argon gas at room temperature and atmospheric pressure. Why is the entropy greater than that of a mole of helium under the same conditions?

Calculate the multiplicity of an Einstein solid with 30oscillators and 30units of energy. (Do not attempt to list all the microstates.)

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.

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/8Ï€±·.)

(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/(4Ï€±·) .)

(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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