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

Consider again the system of two large, identical Einstein solids treated in Problem 2.22.

(a) For the case N=1023, compute the entropy of this system (in terms of Boltzmann's constant), assuming that all of the microstates are allowed. (This is the system's entropy over long time scales.)

(b) Compute the entropy again, assuming that the system is in its most likely macro state. (This is the system's entropy over short time scales, except when there is a large and unlikely fluctuation away from the most likely macro state.)

(c) Is the issue of time scales really relevant to the entropy of this system?

(d) Suppose that, at a moment when the system is near its most likely macro state, you suddenly insert a partition between the solids so that they can no longer exchange energy. Now, even over long time scales, the entropy is given by your answer to part (b). Since this number is less than your answer to part (a), you have, in a sense, caused a violation of the second law of thermodynamics. Is this violation significant? Should we lose any sleep over it?

Use a computer to produce a table and graph, like those in this section, for two interacting two-state paramagnets, each containing 100 elementary magnetic dipoles. Take a "unit" of energy to be the amount needed to flip a single dipole from the "up" state (parallel to the external field) to the "down" state (antiparallel). Suppose that the total number of units of energy, relative to the state with all dipoles pointing up, is80; this energy can be shared in any way between the two paramagnets. What is the most probable macrostate, and what is its probability? What is the least probable macrostate, and what is its probability?

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?

The natural logarithm function, ln, is defined so that elnx=xfor any positive numberx.
aSketch a graph of the natural logarithm function.
b Prove the identities
localid="1650331641178" lnab=lna+lnbandlocalid="1650331643409" lnab=blna
(c) Prove thatlocalid="1650331645612" ddxlnx=1x.
(d) Derive the useful approximation

localid="1650331649052" ln(1+x)x

which is valid when localid="1650331651790" |x|1. Use a calculator to check the accuracy of this approximation for localid="1650331654235" x=0.1and localid="1650331656447" x=0.01.

Find an expression for the entropy of the two-dimensional ideal gas considered in Problem 2.26. Express your result in terms of U,AandN.

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