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Show that, if you don't make too many approximations, the exponential series in equation 8.22 includes the three-dot diagram in equation 8.18. There will be some leftover terms; show that these vanish in the thermodynamic limit.

Short Answer

Expert verified

We have proven that the remaining terms go to 0in thermodynamic limit.

Step by step solution

01

Given Information 

We need to show that these vanish in the thermodynamic limit.

02

Explanation

We have to start with a proof that equation 8.22contains in itself 8.18 integral 8.22and8.18are in the diagram form:

03

Simplify

If we want to write8.22in the integral form up to the third potential we get:

1+12NN−1V2∫d3r1d3r2f12+12⋅14N2(N−1)2V4∫d2r1d3r2d3r3d3r4f12f34+16⋅18N3(N−1)3V6∫d3r1d3r2d3r3d3r4d3r5d3r6f12f34f56+…

Now we can use the trick done for simplest diagram (argument of an exp function in 8.22):

12N2V2∫d3r1d3r2f12=12N2V2∫d3r1∫d3r2f12f12=fr2−r1=frr=r2−r1=12N2V2∫d3r1∫frdr=12N2V∫frdr

Here we used that f12is the function of distance r1-r2where all are vectors, and thus we can make a change of variablerto andf12r1−r2=fr

Let's do similar with our diagram r=r3=r2andr'=r2=r1.

From the square of the simplest diagram in 8.22.

04

Simplify

Here used thermodynamic approximation of N(N-1)(N-2)≈N3disregarding other terms. Also used,

∫d3r1=V

Now, proving that 8.18is contained in8.22however we have to prove that we can disregard other terms.

05

Simplify

To prove that other terms disappear we can note that all terms of

NN−1N−2…Vm

have NmVmterm that we included, and other terms we rejected. Those other terms can be written proportional to:

NnVm

and here n<mSo now in the thermodynamic limit we have N→∞and V→∞while N/V=const,so we can write:

NnVm=VmNn−1=VNnVm−n−1=CnVm−n−1=[∞]−1→0

Where we usedm>nand we took the infinity limit.

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Most popular questions from this chapter

Problem 8.10. Use a computer to calculate and plot the second virial coefficient for a gas of molecules interacting via the Lennard-Jones potential, for values of kT/u0 ranging from 1to 7. On the same graph, plot the data for nitrogen given in Problem 1.17, choosing the parameters r0 and u0so as to obtain a good fit.

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?

Modify the ising program to compute the total magnetisation (that is, the sum of all the s values) for each iteration, and to tally how often each possible magnetisation value occurs during a run, plotting the results as a histogram. Run the program for a 5 x 5 lattice at a variety of temperatures, and discuss the results. Sketch a graph of the most likely magnetisation value as a function of temperature. If your computer is fast enough, repeat for a 10 x 10 lattice.

Modify the ising program to simulate a one-dimensional Ising model.

(a) For a lattice size of 100, observe the sequence of states generated at various temperatures and discuss the results. According to the exact solution (for an infinite lattice), we expect this system to magnetise only as the temperature goes to zero; is the behaviour of your program consistent with this prediction? How does the typical cluster size depend on temperature?

(b) Modify your program to compute the average energy as in Problem 8.27. Plot the energy and heat capacity vs. temperature and compare to the exact result for an infinite lattice.

(c) Modify your program to compute the magnetisation as in Problem 8.28. Determine the most likely magnetisation for various temperatures and sketch a graph of this quantity. Discuss.

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 approximatelyU≈32NkT+N2V·2π∫0∞r2u(r)e-βu(r)drUse 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.

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