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This problem gives an alternative approach to estimating the width of the peak of the multiplicity function for a system of two large Einstein solids.

(a) Consider two identical Einstein solids, each with Noscillators, in thermal contact with each other. Suppose that the total number of energy units in the combined system is exactly 2N. How many different macrostates (that is, possible values for the total energy in the first solid) are there for this combined system?

(b) Use the result of Problem2.18to find an approximate expression for the total number of microstates for the combined system. (Hint: Treat the combined system as a single Einstein solid. Do not throw away factors of "large" numbers, since you will eventually be dividing two "very large" numbers that are nearly equal. Answer: 24N/8蟺狈.)

(c) The most likely macrostate for this system is (of course) the one in which the energy is shared equally between the two solids. Use the result of Problem 2.18to find an approximate expression for the multiplicity of this macrostate. (Answer:24N/(4蟺狈) .)

(d) You can get a rough idea of the "sharpness" of the multiplicity function by comparing your answers to parts (b) and (c). Part (c) tells you the height of the peak, while part (b) tells you the total area under the entire graph. As a very crude approximation, pretend that the peak's shape is rectangular. In this case, how wide would it be? Out of all the macrostates, what fraction have reasonably large probabilities? Evaluate this fraction numerically for the case N=1023.

Short Answer

Expert verified

a. Different macrostates is2N+1.

b. Total no of microstates is 24N24N.

c. Multiplicity of macrostate is24N4蟺狈.

d. The fraction is3.96310-13.

Step by step solution

01

Calculation for macrostates (part a)

a.

Consider the following simple system, in which each solid has Noscillators.

And the total number of quanta is q=2N.

If we start counting macrostates from zero,

we have:

0,1,2,3,2Nmacrostates

As a result, the number of macro-stats is,

2N+1

02

Expression for total no of microstates (part b)

b.

The number of microstates in a solid with quantaqand noscillators is,

=n2蟺辩(q+n)q+nnnq+nqq

Total no of microstates:

For q=2N,n=2N

total=2N2(2N)(2N+2N)2N+2N2N2N2N+2N2N2N

total=24N24N

03

Expression for multiplicity of macrostate (part c)

(c) .

For qA=qB=q2=N.

The total number of microstates is,

mp=N2蟺狈(N+N)N+NNNN+NNN2

mp=14蟺狈22N2

For n=Noscillators and qA=Nenergy quanta,

mp=24N4蟺狈

04

Explanation  (part d)

d.

The width is,

w=totalmp

=24N24N4蟺狈24N

w=2蟺狈

2.5N

The Gaussian width is 2N.

As a result, the rectangular approximation isn't all that awful.

Large probabilities is:

2蟺狈2N=2N

For a macroscopic solid with N=1023,

Fraction is,

21023=3.96310-13

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Most popular questions from this chapter

For a single large two-state paramagnet, the multiplicity function is very sharply peaked about N=N/2.

(a) Use Stirling's approximation to estimate the height of the peak in the multiplicity function.

(b) Use the methods of this section to derive a formula for the multiplicity function in the vicinity of the peak, in terms of xN(N/2). Check that your formula agrees with your answer to part (a) when x=0.

(c) How wide is the peak in the multiplicity function?

(d) Suppose you flip 1,000,000coins. Would you be surprised to obtain heads and 499,000 tails? Would you be surprised to obtain 510,000 heads and 490,000 tails? Explain.

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

(a) How many different macrostates 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?

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.

Use a computer to plot formula 2.22directly, as follows. Define z=q_{A}/q, so that (1-z)=q_{B}/q. Then, aside from an overall constant that we'll ignore, the multiplicity function is [4z(1-z)]N, where zranges from 0to1and the factor of 4ensures that the height of the peak is equal to 1for any N. Plot this function forN=1,10,100,1000, and 10,000. Observe how the width of the peak decreases asNincreases.

Write e1023in the form 10x, for somex.

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