Correlation Functions in Path Integral Formulation of QFT

In summary, the conversation discusses equation 9.16 in section 9.2 of Peskin and Schroeder, which is a functional integral over all possible functions \phi(x). The right hand side of the equation involves setting boundary conditions at times x_1^0 and x_2^0, which restrict the function \phi(x) to certain fixed configurations at those times. This is written as an integral over all possible boundary conditions, and ultimately leads to a proof of how the path integral is related to the time-ordered two-point correlator.
  • #1
maverick280857
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Hi,

I was going through section 9.2 of Peskin and Schroeder, and came across equation 9.16 which reads

[tex]\int\mathcal{D}\phi(x) = \int \mathcal{D}\phi_{1}({{\bf{x}}}) = \int \mathcal{D}\phi_{2}({{\bf{x}}}\)int_{\phi(x_{1}^{0},{\bf{x}})\\\phi(x_{1}^{0},{\bf{x}})}\mathcal{D}\phi(x)[/tex]

What does the right hand side mean, and how does this follow from

[tex]\int\mathcal{D}\phi(x) \phi(x_1)\phi(x_2)\exp{\left[i\int_{-T}^{T}d^{4}x \mathcal{L}(\phi)\right]}[/tex]

? What is the relationship between [itex]x_{1}^{0}[/itex] and [itex]T[/itex]?

Thanks in advance.
 
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  • #2
You got to look at it from a slighty different perspective. The functional integral:

[tex]\int\mathcal{D}\phi(x) [/tex]

is a functional integral over "all possible functions" [tex]\phi(x)[/tex]. We now set certain boundary conditions at times [tex]x_1^0[/tex] and [tex]x_2^0[/tex]. To be precise, we demand "restrict" the function [tex]\phi(x)[/tex] to obey the boundary conditions:


[tex]\phi(x_1^0,\mathbf{x}) = \phi_1(\mathbf{x})[/tex]
[tex]\phi(x_2^0,\mathbf{x}) = \phi_2(\mathbf{x})[/tex]

You should interpret that as [tex]\phi_1(\mathbf{x})[/tex] and [tex]\phi_2(\mathbf{x})[/tex] being certain fixed configurations of the field [tex]\phi(x)[/tex] at the corresponding timeslices. Plugging this into the functional integral would give:

[tex]\int_{\left(\phi(x_1^0,\mathbf{x}) = \phi_1(\mathbf{x})\right)}^{\left(\phi(x_2^0,\mathbf{x}) = \phi_2(\mathbf{x})\right)}\mathcal{D}\phi(x) [/tex]

This is written in the suggestive notation that it's just like an ordinary integral with an upper and lower limit - only they are not really limits, but rather constraints on the function we integrate over.

This functional integral is obviously not the same as the one we started out with, since we are not integrating over all possible functions - but rather only over the class which respects the boundary conditions, i.e. the constraints. However, if we now integrate over all possible boundary conditions, i.e. over the configurations [tex]\phi_1(\mathbf{x})[/tex] and [tex]\phi_2(\mathbf{x})[/tex], we integrate over all possible functions again! Hence we end up with the identity:

[tex]\int\mathcal{D}\phi(x) = \int\mathcal{D}\phi_1(\mathbf{x})\int\mathcal{D}\phi_2(\mathbf{x})\left(\int_{\left(\phi(x_1^0,\mathbf{x}) = \phi_1(\mathbf{x})\right)}^{\left(\phi(x_2^0,\mathbf{x}) = \phi_2(\mathbf{x})\right)}\mathcal{D}\phi(x) \right)[/tex]

So all in all it's just a different way of writing your functional integral. Why is this trick useful? Well, we use it to compute the two-point correlator:

[tex]\langle\Omega|T\phi(x_1)\phi(x_2)|\Omega\rangle = \int\mathcal{D}\phi(x) \phi(x_1)\phi_(x_2) \exp\left[i\int_{-T}^T d^4x\mathcal{L}\right] [/tex]

which is what the remainder of the chapter explains. Basically, you fix the field [tex]\phi(x)[/tex] at two times, which allows you to pull out the two factors [tex]\phi(x_1)\phi_(x_2)[/tex]. What remains are three separate Gaussian integrals, over three different time intervals, which are "glued together" at the two time slices. These Gaussian integrals can be performed, and what remains is some expression which only integrates over the boundary conditions [tex]\phi_1[/tex] and [tex]\phi_2[/tex].

Now, the story continues, but the moral of it all is that this expression in terms of the path integral:
[tex]\langle\Omega|T\phi(x_1)\phi(x_2)|\Omega\rangle = \int\mathcal{D}\phi(x) \phi(x_1)\phi_(x_2) \exp\left[i\int_{-T}^T d^4x\mathcal{L}\right] [/tex]

gives you precisely the time-ordered two point correlator. This is actually quite a suprise, since the two-point correlator can come in many varieties, if you start out with the operator formalism. The path integral makes no reference to operators, yet its two-point correlators correspond to a specific ordering of the operators - namely the time ordering.

In conclusion: the proof shows how the path integral is related to the time orderded correlator.
 
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  • #3
Thanks for the detailed reply xepma.
 

Related to Correlation Functions in Path Integral Formulation of QFT

1. What is the path integral formulation of quantum field theory (QFT)?

The path integral formulation is a mathematical method used to describe the behavior of quantum fields in space and time. It involves summing over all possible paths (or configurations) of a field from an initial state to a final state, and using this sum to calculate the probability of different outcomes.

2. How are correlation functions defined in the path integral formulation of QFT?

Correlation functions in QFT are defined as the expectation values of products of field operators at different points in spacetime. They are calculated by integrating the product of the field operators over all possible field configurations.

3. Why are correlation functions important in QFT?

Correlation functions play a crucial role in understanding the behavior of quantum fields and can provide information about the interactions between particles. They are also used to calculate physical observables, such as scattering amplitudes and cross-sections.

4. How are correlation functions related to the S-matrix in QFT?

The S-matrix (or scattering matrix) is a mathematical tool used to calculate the probability of particles scattering off each other. In the path integral formulation of QFT, correlation functions are used to calculate the S-matrix elements by summing over all possible field configurations that contribute to a particular scattering process.

5. Can correlation functions be calculated exactly in QFT?

In most cases, correlation functions cannot be calculated exactly in QFT due to the complexity of the mathematical calculations involved. However, perturbation theory can be used to approximate correlation functions and has been successful in many cases. Additionally, numerical methods, such as lattice QFT, can also be used to calculate correlation functions for certain systems.

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