Problem 8.8. Show that the nthvirial coefficient depends on the diagrams in equation 8.23 that have ndots. Write the third virial coefficient, C(T), in terms of an integral of f-functions. Why it would be difficult to carry out this integral?

Short Answer

Expert verified

The third virial coefficient isC(T)=13!f(r)dr2.

Step by step solution

01

Given Information

Virial coefficient =nth

Dots denoted by =n

02

Explanation

Let's begin with the definition of the nthVirial Coefficient.

Vn(T)=1n!d3rf(r)n

If we consider diagrams in 8.23, we have

We need to have another d3rifor each dot and a fijfor each link when translating diagrams into integrals.

In this case, the symmetry factor, Nvalue, and Vvalue are not relevant since they are in front of the integral.

In this example, we can see how every dot gives us one d3rintegral:

Find the value of:

localid="1651136353483" =12N(N1)(N2)V3d3r1d3r2d3r3f12f23

=12N(N1)(N2)V3d3r1d3r2f12d3rf(r)=12N(N1)(N2)V3d3r1d3rf(r)d3rf(r)

03

Explanation

Similarly to the second example, the third virial coefficient CTinvolves one more f-link, and so can be calculated by:

=12N(N1)(N2)V3d3r1d3r2d3r3f12f23f13

=12N(N1)(N2)V3d3r1d3r2d3r3f12f23f13=12N(N1)(N2)V3d3r1d3r2f12f13f(r)dr,r=r2r3=12N(N1)(N2)V3d3r1f13frdrf(r)dr,r=r2r1=12N(N1)(N2)V3d3r1f13C(T)3!

Therefore, C(T)is obtained by looking at 8.32 (partial by Vprovides a +sign, and2+3is a factor out of the equation):

We get:

C(T)=13!f(r)dr2

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Most popular questions from this chapter

Problem 8.13. Use the cluster expansion to write the total energy of a monatomic nonideal gas in terms of a sum of diagrams. Keeping only the first diagram, show that the energy is approximately
U32NkT+N2V·2π0r2u(r)e-βu(r)dr
Use a computer to evaluate this integral numerically, as a function of T, for the Lennard-Jones potential. Plot the temperature-dependent part of the correction term, and explain the shape of the graph physically. Discuss the correction to the heat capacity at constant volume, and compute this correction numerically for argon at room temperature and atmospheric pressure.

For a two-dimensional Ising model on a square lattice, each dipole (except on the edges) has four "neighbors"-above, below, left, and right. (Diagonal neighbors are normally not included.) What is the total energy (in terms of ε) for the particular state of the 4×4square lattice shown in Figure 8.4?

Figure 8.4. One particular state of an Ising model on a 4×4square lattice (Problem 8.15).

In Problem 8.15 you manually computed the energy of a particular state of a 4 x 4 square lattice. Repeat that computation, but this time apply periodic boundary conditions.

Consider a gas of molecules whose interaction energy u(r)u is infinite for r<r0and negative for r>r0, with a minimum value of -u0. Suppose further that kTu0, so you can approximate the Boltzmann factor forr>r0using ex1+x. Show that under these conditions the second virial coefficient has the form B(T)=b-(a/kT), the same as what you found for a van der Waals gas in Problem 1.17. Write the van der Waals constants aand b in terms of r0and u(r), and discuss the results briefly.

Implement the ising program on your favourite computer, using your favourite programming language. Run it for various lattice sizes and temperatures and observe the results. In particular:

(a) Run the program with a 20 x 20 lattice at T = 10, 5, 4, 3, and 2.5, for at least 100 iterations per dipole per run. At each temperature make a rough estimate of the size of the largest clusters.

(b) Repeat part (a) for a 40 x 40 lattice. Are the cluster sizes any different? Explain. (c) Run the program with a 20 x 20 lattice at T = 2, 1.5, and 1. Estimate the average magnetisation (as a percentage of total saturation) at each of these temperatures. Disregard runs in which the system gets stuck in a metastable state with two domains.

(d) Run the program with a 10x 10 lattice at T = 2.5. Watch it run for 100,000 iterations or so. Describe and explain the behaviour.

(e) Use successively larger lattices to estimate the typical cluster size at temperatures from 2.5 down to 2.27 (the critical temperature). The closer you are to the critical temperature, the larger a lattice you'll need and the longer the program will have to run. Quit when you realise that there are better ways to spend your time. Is it plausible that the cluster size goes to infinity as the temperature approaches the critical temperature?

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