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Statistical Mechanics - Physics at Oregon State University

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1.8. PROBLEMS FOR CHAPTER 1 21<br />

Problem 3.<br />

A system has N sites. The probability th<strong>at</strong> a given site is occupied by an<br />

<strong>at</strong>om is ξ. Only one <strong>at</strong>om <strong>at</strong> a time is able to occupy a site.<br />

(a) Find the probability p(M, N, ξ) th<strong>at</strong> exactly M sites out of N are occupied.<br />

Assume th<strong>at</strong> on the average A sites are occupied, hence ξ = A<br />

N .<br />

(b) Find the probability p(M,A) th<strong>at</strong> M sites are occupied when the average<br />

number of sites occupied is A in the limit N → ∞. A and M remain finite!<br />

(c) Show th<strong>at</strong> ∞<br />

M=0<br />

< M 2 >= ∞<br />

p(M, A) = 1, < M >= ∞<br />

M<br />

M=0<br />

2p(M, A) = A2 + A.<br />

M=0<br />

Mp(M, A) = A, and th<strong>at</strong><br />

When A is very large, the distribution p(M,A) becomes very sharp around A.<br />

(d) Show th<strong>at</strong> in th<strong>at</strong> case the distribution near A can be approxim<strong>at</strong>ed by a<br />

Gaussian of width √ A.<br />

Problem 4.<br />

Use the following approxim<strong>at</strong>ions derived from Stirling’s formula:<br />

(I) log(N!) ≈ N log(N)<br />

(II) log(N!) ≈ N log(N) − N<br />

(III) log(N!) ≈ N log(N) − N + 1<br />

2 log(N)<br />

(IV) log(N!) ≈ N log(N) − N + 1<br />

1<br />

2 log(N) + 2 log(2π)<br />

For each of these approxim<strong>at</strong>ions find the smallest value of N for which the<br />

rel<strong>at</strong>ive error in N! becomes less than 1%. ( Rel<strong>at</strong>ive error: .)<br />

Problem 5.<br />

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A standard game show problem is the following. You have to choose between<br />

three doors. Behind one of them is a car, behind the others is nothing. You<br />

point <strong>at</strong> one door, making your choice. Now the game show host opens another<br />

door, behind which there is nothing. He asks you if you want to change your<br />

choice of doors. Question: should you change? Answer: Yes!!!!! Question:<br />

Calcul<strong>at</strong>e the r<strong>at</strong>io of the probabilities of your original door hiding the car and<br />

the other, remaining door hiding the car.

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