Correlation functions in position and momentum space

In summary: the same due to the differences in the number of external momenta and the presence of the propagator for a field at a point.
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What is the relation between the correlators ##\langle 0 | T\phi(x_{1})\phi(x_{2}) | 0 \rangle## and ##\langle 0 | T\phi(p)\phi(x=0) | 0 \rangle##?

I can derive the momentum space Feynman rules for ##\langle 0 | T\phi(x_{1})\phi(x_{2}) | 0 \rangle##. Are the momentum space Feynman rules for ##\langle 0 | T\phi(p)\phi(x=0) | 0 \rangle## the same?
 
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The correlators ##\langle 0 | T\phi(x_{1})\phi(x_{2}) | 0 \rangle## and ##\langle 0 | T\phi(p)\phi(x=0) | 0 \rangle## are related through the Fourier transform. In momentum space, the correlator ##\langle 0 | T\phi(x_{1})\phi(x_{2}) | 0 \rangle## can be written as ##\int \frac{d^{4}p}{(2\pi)^{4}}e^{-ip\cdot(x_{1}-x_{2})}\langle 0 | T\phi(p)\phi(-p) | 0 \rangle##.

The momentum space Feynman rules for ##\langle 0 | T\phi(p)\phi(x=0) | 0 \rangle## will be similar to those for ##\langle 0 | T\phi(x_{1})\phi(x_{2}) | 0 \rangle##, but with some key differences. The main difference is that the momentum space Feynman rules for ##\langle 0 | T\phi(p)\phi(x=0) | 0 \rangle## will only involve one external momentum, while the Feynman rules for ##\langle 0 | T\phi(x_{1})\phi(x_{2}) | 0 \rangle## involve two external momenta. This is because in the latter case, we are correlating two fields at different points in space, while in the former case, we are correlating a field at a point in space with itself.

Another important difference is that the momentum space Feynman rules for ##\langle 0 | T\phi(p)\phi(x=0) | 0 \rangle## will involve the propagator for the field at a point, while the Feynman rules for ##\langle 0 | T\phi(x_{1})\phi(x_{2}) | 0 \rangle## will involve the propagator for the field at two different points.

In summary, while the momentum space Feynman rules for ##\langle 0 | T\phi(p)\phi(x=0) | 0 \rangle## may have some similarities to those for ##\langle 0 | T\phi(x_{1})\phi(x_{2}) | 0 \rangle##, they are not exactly
 

Related to Correlation functions in position and momentum space

1. What is the purpose of correlation functions in position and momentum space?

Correlation functions in position and momentum space are used to study the relationships between different physical quantities in a system. They help to understand how changes in one quantity affect another quantity, and can provide insight into the underlying dynamics of a system.

2. How are correlation functions calculated in position and momentum space?

Correlation functions in position and momentum space are typically calculated using mathematical tools such as Fourier transforms. These transforms allow for the conversion of data from one space to another, making it possible to study the correlations between position and momentum in a system.

3. What are the main differences between position and momentum space correlation functions?

The main difference between position and momentum space correlation functions is the type of information they provide. Position space correlation functions describe the spatial relationships between particles in a system, while momentum space correlation functions describe the velocities and momenta of those particles.

4. How are correlation functions used in practical applications?

Correlation functions in position and momentum space have many practical applications in fields such as materials science, quantum mechanics, and statistical mechanics. They are used to analyze experimental data, model physical processes, and make predictions about the behavior of complex systems.

5. What are some limitations of correlation functions in position and momentum space?

One limitation of correlation functions in position and momentum space is that they can only provide information about linear relationships between variables. Nonlinear relationships, such as those found in chaotic systems, may be difficult to analyze using correlation functions. Additionally, correlation functions may be sensitive to experimental noise and may not accurately reflect the true underlying dynamics of a system.

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