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Suppose you flip1000 coins.
a What is the probability of getting exactly 500heads and 500tails? (Hint: First write down a formula for the total number of possible outcomes. Then, to determine the "multiplicity" of the 500-500"macrostate," use Stirling's approximation. If you have a fancy calculator that makes Stirling's approximation unnecessary, multiply all the numbers in this problem by 10, or 100, or1000, until Stirling's approximation becomes necessary.)
bWhat is the probability of getting exactly 600heads and400 tails?

Short Answer

Expert verified

Part a

aThe probability of getting exactlyP(500)≈0.02523.

part b

bhe probability of getting exactlyP(600)≈4.635×10−11.

Step by step solution

01

Step: 1 Finding probability: (part a)

A larger coin tossing experiment is underway. N=1000 coins are flipped. Stirling's approach may be used to calculate the likelihood of receiving exactly 500 head and 500 tails. The total number of possible outcomes is as follows:

2N=21000

Where n=500heads as

Ω(N,n)=Nn=N!n!(N−n)!Ω(1000,500)=1000500Ω(1000,500)=1000!500!(1000−500)!Ω(1000,500)=1000!500!2.

Using Stirling's approximation as

N!≈NNe−N2πNΩ(1000,500)=1000!500!2≈10001000e−10002π⋅1000500500e−5002π⋅5002Ω(1000,500)≈10001000×e−1000×10005001000×e−1000×500×2π

02

Step:2 Dervative: (part a)

From the above equation,

Ω(1000,500)≈(500×2)1000×10005001000×500×2πΩ(1000,500)≈(2)1000×1000500×2π

Probability approximately getting exactly role="math" localid="1650333432268" 500heads as

P(n)=Ω(N,n)2NP(500)=Ω(1000,500)21000

Substituting,we get

P(500)=Ω(1000,500)21000≈121000(2)1000×1000500×2πP(500)≈1000500×2πP(500)≈0.02523.

03

Step: 3 Derivative probability: (part b)

The number getting n=500heads as

Ω(N,n)=NnΩ(N,n)=N!n!(N−n)!Ω(1000,600)=1000600Ω(1000,600)=1000!600!(1000−600)!Ω(1000,600)=1000!600!400!.

Using Stirling's approximation as

role="math" localid="1650333713655" N!≈NNe−N2πNΩ(1000,600)=1000!600!400!≈10001000e−10002π×1000600600e−6002π×600400400e−4002π×⋅400Ω(1000,600)≈10001000×e−1000×1000400400×600600×e−1000×600×400×2π

04

Step: 4 Equating part: (part b)

From the above equation,

Ω(1000,600)≈21000×5001000×1000400400×600600×600×400×2πΩ(1000,600)≈1480π×21000×5001000400400×600600

Probability approximately getting exactly 500heads as

P(n)=Ω(N,n)2NP(600)=Ω(1000,600)21000

Substituting,we get

P(600)=Ω(1000,600)21000≈121000×1480π×21000×5001000400400×600600P(600)≈1480π×5001000400400×600600

05

Step: 5 Finding probability value: (part b)

The ratio is not applicalable, so simplify as

1480π×5001000400400×600600=1480π×(1.25×400)1000(1×400)400×(1.5×400)600→1480π×(400)1000×(1.25)1000(400)400×(1)400×(400)600×(1.5)600

But,

(400)1000(400)600×(400)400=(400)1000(400)1000=1→1480π×(1.25)1000(1)400×(1.5)600

Where,

P(600)≈1480π×(1.25)1000(1)400×(1.5)600P(600)≈4.635×10−11.

Where as Maple is working large exponents directly.

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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.

Use Stirling's approximation to show that the multiplicity of an Einstein solid, for any large values ofNandlocalid="1650383388983" q,is approximately

Omega(N,q)≈q+Nqqq+NNN2πq(q+N)/N

The square root in the denominator is merely large, and can often be neglected. However, it is needed in Problem2.22. (Hint: First show thatΩ=Nq+N(q+N)!q!N!. Do not neglect the2πNin Stirling's approximation.)

Use a computer to produce a table and graph, like those in this section, for the case where one Einstein solid contains 200 oscillators, the other contains100 oscillators, and there are 100 units of energy in total. What is the most probable macrostate, and what is its probability? What is the least probable macrostate, and what is its probability?

For either a monatomic ideal gas or a high-temperature Einstein solid, the entropy is given by times some logarithm. The logarithm is never large, so if all you want is an order-of-magnitude estimate, you can neglect it and just say . That is, the entropy in fundamental units is of the order of the number of particles in the system. This conclusion turns out to be true for most systems (with some important exceptions at low temperatures where the particles are behaving in an orderly way). So just for fun, make a very rough estimate of the entropy of each of the following: this book (a kilogram of carbon compounds); a moose of water ; the sun of ionized hydrogen .

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

(a) How many different macro states 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?

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