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)4.635×1011.

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

Using Stirling's approximation as

N!NNeN2πNΩ(1000,500)=1000!500!210001000e10002π1000500500e5002π5002Ω(1000,500)10001000×e1000×10005001000×e1000×500×2π

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)21000121000(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!(Nn)!Ω(1000,600)=1000600Ω(1000,600)=1000!600!(1000600)!Ω(1000,600)=1000!600!400!.

Using Stirling's approximation as

role="math" localid="1650333713655" N!NNeN2πNΩ(1000,600)=1000!600!400!10001000e10002π×1000600600e6002π×600400400e4002π×400Ω(1000,600)10001000×e1000×1000400400×600600×e1000×600×400×2π

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)21000121000×1480π×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)6001480π×(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=11480π×(1.25)1000(1)400×(1.5)600

Where,

P(600)1480π×(1.25)1000(1)400×(1.5)600P(600)4.635×1011.

Where as Maple is working large exponents directly.

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Most popular questions from this chapter

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?

Consider a two-state paramagnet with 1023elementary dipoles, with the total energy fixed at zero so that exactly half the dipoles point up and half point down.

(a) How many microstates are "accessible" to this system?

(b) Suppose that the microstate of this system changes a billion times per second. How many microstates will it explore in ten billion years (the age of the universe)?

(c) Is it correct to say that, if you wait long enough, a system will eventually be found in every "accessible" microstate? Explain your answer, and discuss the meaning of the word "accessible."

Use the methods of this section to derive a formula, similar to equation2.21, for the multiplicity of an Einstein solid in the "low-temperature" limit,qN .

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.)

The mixing entropy formula derived in the previous problem actually applies to any ideal gas, and to some dense gases, liquids, and solids as well. For the denser systems, we have to assume that the two types of molecules are the same size and that molecules of different types interact with each other in the same way as molecules of the same type (same forces, etc.). Such a system is called an ideal mixture. Explain why, for an ideal mixture, the mixing entropy is given by

ΔSmixing=klnNNA

where Nis the total number of molecules and NAis the number of molecules of type A. Use Stirling's approximation to show that this expression is the same as the result of the previous problem when both Nand NAare large.

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