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To estimate the importance of fluctuations below the critical temperature, we can compare the fluctuations of m(x) over a distance ~ with its mean value m. For the fluctuations to be small we must have

-,--------:- 1

(-ro/4u o)

= ( - ro) -1 /2 ,

(17.93)

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If you are working on a long document, you can add page numbers to help you keep the pages in order after printing the document. Page numbers are added to the header or footer area of the document. You can choose how page numbers look on your document. Adding page breaks can help you control what text appears on what page of the document. For example, you might add a page break at the end of one chapter to ensure that the next chapter starts on a new page.

u o[aoltl]<d-4)/2 1

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This is known as the "Ginzburg criterion." It can be fulfilled in the limit t ~ 0 only if d> 4. Another way to derive the Ginzburg criterion is to note that there are two length scales in the theory, defined by ro and u o. They may be deduced through dimensional analysis, as follows. The dimension of tf is (Length)-d, since it is the volume integral of the dimensionless energy E[m]:

(17 .94)

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Let us turn our attention now to saucers, which are the clean, well-formed version of breakout patterns. It takes years of experience to be able to swiftly go through charts and spot patterns but, to use an astronomical metaphor, the saucer is the Big Dipper of chart patterns so easy to spot that just about anyone can do it. Figure 9.9 shows an actual price chart with a saucer shape drawn below it to emphasize the pattern s presence. This is about as ideal a saucer as you will see in the real world. Keep in mind there is not a crew of stockholders whose purpose it is to hammer out a well-de ned shape on a chart. These patterns are formed as a consequence of thousands of people pushing millions of dollars around. It is only when mass psychology on a stock is behaving in such a way as to form a clean pattern that these become evident.

The dimensionality of m(x) can be deduced from the fact that l'\7mI , which is of dimension [m] 21L 2 , must have the same dimension as tf. The dimensions of ro and U o are then easily deduced. The results are [m(x)] = L(2-d)/2

= L -2

(17.95)

[u o] =

Mean-field theory is good when the m 4 term is dominant. That happens when the characteristic length of the "potential" m 4 (x) is much shorter than the "Gaussian" correlation length ~G = ro- I/2 . That is, uo/(~dd-4 1, which leads to (17.93). Actually there is a neighborhood tiT of the critical temperature, called the "critical region," in which fluctuations are always important. In this region the correlation length depends on both ro and u o. Mean-field theory can be valid only outside of the critical region. What the Ginzburg criterion indicates is that tiTITc 1 when d> 4. The precise value of tiT has no universality, and depends on details of the model. In spatial dimensions less than 4, mean-field theory fails because fluctuations are important. The Gaussian model suggests that the long wavelength fluctua-

tions dominate the critical behavior, for it shows that they are determined by infrared singularities at t = O. Since spatial fluctuations should have wave lengths longer than the correlations, the important wavelengths lie between the correlation length and infinity. But the correlation length diverges when t ~ O. Thus. only slightly nonuniform configurations in the neighborhood of the mean-field configuration need be taken into account. Yet it is precisely the failure to include these long wavelength fluctuations that invalidates mean-field theory. * The critical dimension depends on the type of critical point. For a tricritical point it turns out to be d = 3 (see Problem 17.6), which possibly explains why the tricritical mean-field value v = 1 agrees with experiments, as we mentioned earlier.

1 2 3

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