Calculating Correlation of Composite Operators

In summary, the question is about calculating correlation functions of composite operators and whether it is possible to simply set some of the points equal at the end of the calculation. However, this approach is not valid due to the ambiguity of operator ordering in the limit, and the need for a prescription such as normal ordering. The intuition of using a functional integral approach is also not sufficient as it still results in divergences. Overall, it is not possible to set two coordinates equal at the end of the calculation, and correlators of noncomposite operators are not analytic in the coordinates.
  • #1
geoduck
258
2
I have probably a silly question about correlation functions of composite operators. Why can't you just calculate a correlator with fields at different points x1, x2, x3, ... and then set a couple of the points equal at the end of the calculation to get the result?

e.g.,
[tex]\langle 0 T\phi(x_1)\phi(x_2)... 0\rangle [/tex]

and to have a phi^2 composite operators just set x1 equal to x2 at the end of the calculation?

When you calculate [tex]\langle 0 T\phi(x)\phi(y)... 0\rangle [/tex] perturbatively at least, it seems the result is a fairly simple function of x and y. You'll get something like:

constant*eikx*eiqy

where k and q are integrated over. So just set x=y above?
 
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  • #2
The problem is that when you are dealing with quantum operators, the ordering as y -> x becomes ambiguous. In your "constant," you have creation and annihilation operators which do not commute in the limit, and you need a prescription for dealing with them. It turns out that the normal ordering prescription is an unambiguous way to take the limit:

[tex]
:\phi(x)^2: = lim_{x \rightarrow y} \{ \phi(x) \phi(y) - \langle \phi(x) \phi(y) \rangle \}
[/tex]
 
  • #3
king vitamin said:
The problem is that when you are dealing with quantum operators, the ordering as y -> x becomes ambiguous. In your "constant," you have creation and annihilation operators which do not commute in the limit, and you need a prescription for dealing with them. It turns out that the normal ordering prescription is an unambiguous way to take the limit:
[tex]
:\phi(x)^2: = lim_{x \rightarrow y} \{ \phi(x) \phi(y) - \langle \phi(x) \phi(y) \rangle \}
[/tex]
I was thinking in terms of a functional integral approach rather than an operator approach, so I wouldn't have to worry about operators and commuting.

But in terms of the operator approach, I've seen people try this:

[tex]<T\phi(x+\epsilon)\phi(x-\epsilon)> [/tex]

so by arbitrary choice, the first phi is set at a later time. Then the limit ε is taken zero.

Are correlators of noncomposite operators analytic in the coordinates? It's just weird that you can't set two of the coordinates equal at the end of the calculation.
 
  • #4
Well the functional integral is equivalent to a quantum time-ordered operator. In either case, you're going to get some divergence, either in coordinate space from x=y, or in momentum space from a UV divergent momentum integral.

I think your intuition isn't right - in general one expects operator products to be divergent at the same space-time point, and this is why loops diverge (the integration diverges where the operators overlap). Recall that time-ordered correlators can be decomposed into propagators by Wick's theorem, and propagators are Green's functions of the Klein-Gordon equation. Such functions are clearly divergent at small distances (though maybe not in d=1?).
 

Related to Calculating Correlation of Composite Operators

1. What is correlation and why is it important in scientific research?

Correlation is a statistical measure that shows the relationship between two variables. It is important in scientific research because it helps us understand how changes in one variable may affect the other, and can help identify patterns and trends in data.

2. How do you calculate the correlation coefficient?

The correlation coefficient is calculated by dividing the covariance of the two variables by the product of their standard deviations. This can be done using a formula or with statistical software.

3. What is the range of values for the correlation coefficient?

The correlation coefficient can range from -1 to +1. A value of -1 indicates a perfect negative correlation, +1 indicates a perfect positive correlation, and 0 indicates no correlation.

4. How can you interpret the strength of a correlation coefficient?

The strength of a correlation coefficient can be interpreted using the following guidelines: a value between 0.7 and 1.0 indicates a strong positive correlation, 0.4 to 0.7 indicates a moderate positive correlation, 0.2 to 0.4 indicates a weak positive correlation, and anything below 0.2 is considered a very weak correlation.

5. Can correlation prove causation?

No, correlation does not prove causation. While a high correlation may suggest a relationship between two variables, it does not necessarily mean that one variable causes the other. Other factors and variables may be involved and further research is needed to establish causation.

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