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Homework 1 (due September 24)

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Homework 1 (due September 24)
1



Homework 1 (due September 24)

Problem 1-1 (3 pts.)



A volume V contains a large number N of molecules. Find the probability that a given region of volume v contains

exactly n molecules, for any n. Express the result in terms of average particle concentration, C = N/V (take into

D E

account that N is very large, but n can be arbitrary, even 0) . Calculate hni, and (n − hni)2 . How does the width

of the distribution behave in the limit when hni is large? Assume v << V and n << N .





Solution:

Probability for each molecule to be in the volume v is v/V . Therefore, the probability of a particular state with

given n molecules in the volume v and the rest outside of it is,

³ v ´n ³ v ´N −n

1−

V V

The total number of such "microstates" for a given value of n is equal to the number of ways to pick n molecules

out of N , therefore

N! ³ v ´n ³ v ´N −n

P (n) = 1−

n! (N − n)! V V



We can now simplify this expression by considering log (P ):, and using the Stirling approximation ( log(m!) ≈

m log m − m)

³ v´ 1 ³ v ´n

log P (n) ≈ N [log N − 1] − (N − n) [log (N − n) − 1] + (N − n) log 1 − + log ≈

V n! V



µ ¶n

1 Nv Nv

≈ log − + O (n/N )

n! V V

Hence

n

(Cv)

P (n) ≈ exp (−Cv)

n!

One can check that normalization has not been lost as a result of our approximations.

We can now calculate the average and mean square deviation for this distribution:





X ∞

X (Cv)n

hni = nP (n) = exp (−Cv) = cV.

n=0 n=1

(n − 1)!



∞ ∞

­ 2® X X (Cv)n

n = (n (n − 1) + n) P (n) = exp (−Cv) + cV = cV (cV + 1)

n=0 n=2

(n − 2)!



D E ­ ® ­ ®

2 2 2

(n − hni) = n2 − 2 hni hni + hni = n2 − hni = cV = hni



1/2

As expected, the width of the distribution behaves as hni (surprisingly, even for small hni).



Problem 1-2 (3 pts.)



You toss the a dice N times in a row. What is the probability of getting the "6" (i.e. ":::") exactly N6 times out

of N ?



Similarly to the previous problem,

2





µ ¶N6 µ ¶N −N6

N! 1 5

P (N6 ) =

N6 ! (N − N6 )! 6 6

Problem 1-3 (3 pts.)



Find the minimum volume V of a helium balloon capable of carrying a person of mass m. Obtain the general

formal expression, and then calculate V for m = 70kg. Assume the pressure inside the balloon to be approximately

the same as outside (Patm ≈ 105 P a). Mass composition of air is roughly 80% N2 and 20% O2 . Note that the total

pressure of a mixture of gases is sum of their partial pressures (i.e. Pair ≈ PN2 + PO2 ).





Solution:





m

[m + V (ρHe − ρair )] g = 0, therefore V =

ρair − ρHe



µ ¶ µ ¶−1

.2 .8 Patm .2 .8

Patm = ρair + RT ; ρair = +

μO2 μN2 RT μO2 μN2



μHe Patm

ρHe = ;

RT

We obtain:



£ J ¤

m mRT 70 · 103 [g] · 8 mole·K · 300K

V = = h i= £ J ¤¡ £ g ¤ £ g ¤¢ ' 70m3

ρair − ρHe −1

Patm (0.2/μO2 + 0.8/μN2 ) − μHe 105 m3 29 mole − 4 mole





Problem 1-4 (3 pts.)



Ideal gas of particles of mass m in the presence of gravity g has a non-uniform density distribution along the vertical

coordinate z:

µ ¶

mgz

n (z) = n0 exp −

kB T

D E

2

Find the average vertical position hzi and its mean square deviation (z − hzi) for such a gas in a very high

cylindrical container. Choose z = 0 to be the bottom level.





Solution:





R

∞ ³ ´

mgz

z exp − kB T dz

kB T

hzi = 0R

∞ ³ ´ =

mgz mg

exp − kB T dz

0





R

∞ ³ ´

mgz

z 2 exp − kB T dz µ ¶2

­ 2® 0 kB T

z = R

∞ ³ ´ =2

mgz mg

exp − kB T dz

0

3



D E ­ ® µ ¶2

2 2 2 ­ 2® 2 kB T

(z − hzi) = z − 2 hz hzii + hzi = z − hzi =

mg







Problem 1-5 (3 pts.)



Velocity distribution in an ideal gas has the following general form:

µ 2¶

v

f (v) = α exp −





Find the constants α and σ, as functions of temperature T and pressure P . Take the mass of a gas molecule to be m.



Solution:





Z ∙Z µ 2¶ ¸3

P v 3/2

n= = f (v) d3 v = α exp − x dvx = α (2πσ)

kB T 2σ



R ¡ 2 ¢

­ 2® v2 exp −vx /2σ dvx

vx = Rx =σ

2

exp (−vx /2σ) dvx



Therefore,

­ 2 ® kB T n P ³ m ´3/2

σ = vx = ; α= 3/2

= 5/2

m (2πσ) (kB T ) 2π



³ m ´3/2 µ ¶

P mv 2

f (v) = 5/2

exp −

(kB T ) 2π 2kB T


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