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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?

Short Answer

Expert verified

The most likely macrostate is when the energy units are evenly distributed,qA=qB=40 , with a probability of 0.07513. The least likely state is when all the energy units are in partition BorA,qA=40 , or when qB=40, with a chance of 7.8726×10-20.

Step by step solution

01

Expression for overall multiplicity

The probability of PqAis,

PqA=ΩtotalΩoverall

The overall multiplicity is,

ΩoverallNoverall,qoverall=qoverall+Noverall-1qoverall

The total multiplicity is ,

Ωtotal=ΩAΩB

ΩA=qA+NA-1qA

ΩB=qB+NB-1qB

02

Calculation for total multiplicity

Multiplicity is,

Ωoverall=qoverall+Noverall-1!qoverall!Noverall-1!

qoverall=qA+qB=80

Noverall=NA+NB=200

So,

role="math" localid="1650306409339" Ωoverall=(80+200-1)!80!(200-1)!

=2.1225×1071

Multiplicity of Ais,

ΩA=qA+99qA=qA+99!qA!(99)!

Multiplicity of Bis,

ΩB=qB+99qB

Substitute qB=80-qA

so,

role="math" localid="1650306390399" ΩB=179-qA80-qA

=179-qA!80-qA!(99)!

Probability is,

PqA=ΩAΩBΩoverall

=12.1225×1071qA+99!qA!(99)!179-qA!80-qA!(99)!

03

Python program for creation of graph

04

Graph for probability and energy

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Most popular questions from this chapter

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.

The mathematics of the previous problem can also be applied to a one-dimensional random walk: a journey consisting of Nsteps, all the same sic, cache chosen randomly to be cither forward or backward. (The usual mental image is that of a drunk stumbling along an alley.)

(a) Where are you most likely to find yourself, after the end of a long random walk?

(b) Suppose you take a random walk of 10,000steps (say each a yard long). About how far from your starting point would you expect to be at the end?

(c) A good example of a random walk in nature is the diffusion of a molecule through a gas; the average step length is then the mean free path, as computed in Section 1.7.Using this model, and neglecting any small numerical factors that might arise from the varying step size and the multidimensional nature of the path, estimate the expected net displacement of an air molecule (or perhaps a carbon monoxide molecule traveling through air) in one second, at room temperature and atmospheric pressure. Discuss how your estimate would differ if the clasped time or the temperature were different. Check that your estimate is consistent with the treatment of diffusion in Section1.7.

According to the Sackur-Tetrode equation, the entropy of a monatomic ideal gas can become negative when its temperature (and hence its energy) is sufficiently low. Of course this is absurd, so the Sackur-Tetrode equation must be invalid at very low temperatures. Suppose you start with a sample of helium at room temperature and atmospheric pressure, then lower the temperature holding the density fixed. Pretend that the helium remains a gas and does not liquefy. Below what temperature would the Sackur-Tetrode equation predict that Sis negative? (The behavior of gases at very low temperatures is the main subject of Chapter 7.)

Use the Sackur-Tetrode equation to calculate the entropy of a mole of argon gas at room temperature and atmospheric pressure. Why is the entropy greater than that of a mole of helium under the same conditions?

Suppose you flip four fair coins.

(a) Make a list of all the possible outcomes, as in Table 2.1.

(b) Make a list of all the different "macrostates" and their probabilities.

(c) Compute the multiplicity of each macrostate using the combinatorial formula 2.6, and check that these results agree with what you got by bruteforce counting.

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