Fourier transorm problem has me stumped

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In summary, the ground state wave functional for the photon theory is given as\Psi_0[\tilde{a}] = \eta \exp \left(-\frac{1}{2} \int \frac{d^3k}{(2\pi)^3} \frac{(\vec{k}\times\tilde{a}(\vec{k}))\cdot(\vec{k}\times\tilde{a}(-\vec{k}))}{|\vec{k}|}\right)(10.81)where \tilde{a} is given as the Fourier transform of a, that is,a_i
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jasonc65
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The ground state wave functional for the photon theory is given as

[tex] \Psi_0[\tilde{a}] = \eta \exp \left(-\frac{1}{2} \int \frac{d^3k}{(2\pi)^3} \frac{(\vec{k}\times\tilde{a}(\vec{k}))\cdot(\vec{k}\times\tilde{a}(-\vec{k}))}{|\vec{k}|}\right)[/tex]
(10.81)​

where [tex]\tilde{a}[/tex] is given as the Fourier transform of [tex]a[/tex], that is,

[tex] a_i(\vec{x}) = \int \frac{d^3k}{(2\pi)^3}\tilde{a}_i(\vec{k})e^{i\vec{k}\cdot\vec{x}} [/tex]
(10.67)​

Transforming back to [tex]a[/tex], the book now says that (10.81) is equivalent to

[tex] \Psi_0[a] = \eta \exp \left(-\frac{1}{(2\pi)^2} \int d^3x d^3y \frac{(\nabla\times\vec{a}(\vec{x}))\cdot(\nabla\times\vec{a}(\vec{y}))}{|\vec{x}-\vec{y}|^2}\right) [/tex]
(10.83)​

I've had to think about this for a long time, and I'm still not sure I understand it exactly.
 
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  • #2
Starting with 10.83,substituting a_i from 10.67, get to 10.81
 
  • #3
Yes,usually the other way around is more simple.Passing from the coordinate representation to momentum representation.I think you struggled a great deal proving the first part of the equivalence.
Basically u really don't have to,usually in QFT,we like more the momentum representation,because we build the Feynman rules in the momentum representation.
So probably the author went backwards.He should have given it first in the coordinate representation and then pass it to momentum.After all,once u have it in the momentum representation,what's the point of passing it into the coordinate representation??

Daniel.

PS.I hope u see that the coordinate->momentum passing is immediate.
 
  • #4
It takes at least three steps

I don't see it immediately.

[tex]-\frac{1}{(2\pi)^2} \int d^3x d^3y \frac{(\nabla\times\vec{a}(\vec{x}))\cdot(\nabla\times\vec{a}(\vec{y}))}{|\vec{x}-\vec{y}|^2}

= -\frac{1}{(2\pi)^2}\int\frac{d^3xd^3yd^3kd^3k'}{(2\pi)^3(2\pi)^3}\frac{-(\vec{k}\times\tilde{a}(\vec{k})e^{i\vec{k}\cdot\vec{x}})\cdot(\vec{k'}\times\tilde{a}(\vec{k'})e^{i\vec{k'}\cdot\vec{y}})}{|\vec{x}-\vec{y}|^2}[/tex]

[tex]= -\frac{1}{2}\int\frac{d^3xd^3y}{(2\pi)^3}\frac{-(\vec{k}\times\tilde{a}(\vec{k}))\cdot(\vec{k'}\times\tilde{a}(\vec{k'}))\delta^3(\vec{k}+\vec{k'})}{|\vec{k}|}

= -\frac{1}{2} \int \frac{d^3k}{(2\pi)^3} \frac{(\vec{k}\times\tilde{a}(\vec{k}))\cdot(\vec{ k}\times\tilde{a}(-\vec{k}))}{|\vec{k}|}[/tex]

For the second step, one needs [tex]\int\frac{4\pi}{(2\pi)^3}d^3x\frac{e^{i\vec{k}\cdot\vec{x}}}{|\vec{x}-\vec{y}|^2} = \frac{e^{i\vec{k}\cdot\vec{y}}}{|\vec{k}|}[/tex], which to me is not immediately obvious. It seems to have something to do with calculating the anti-Laplacian by reasoning in analogy with the inverse square law of gravitation.
 

FAQ: Fourier transorm problem has me stumped

What is the Fourier transform problem?

The Fourier transform problem is a mathematical concept that involves converting a function from its original domain (usually time or space) into a representation in the frequency domain. This allows for the analysis and understanding of the frequency components of a given function.

How does the Fourier transform work?

The Fourier transform is a complex integral that involves breaking down a function into its individual frequency components. It uses a series of sine and cosine functions to represent the function in the frequency domain, allowing for a better understanding of the function's behavior.

What is the significance of the Fourier transform?

The Fourier transform has many applications in various fields such as engineering, physics, and signal processing. It is used to analyze and manipulate signals, image processing, and solving differential equations, among others. It is an essential tool in understanding the frequency components of a given function and their behavior.

What are some common challenges in solving Fourier transform problems?

Some of the common challenges in solving Fourier transform problems include understanding the complex mathematics involved, choosing the appropriate Fourier transform for a given problem, and dealing with noise or errors in the data. It also requires a good understanding of the function being transformed and its behavior in both the time and frequency domains.

How can I improve my understanding and problem-solving skills in Fourier transform?

To improve your understanding and problem-solving skills in Fourier transform, it is essential to have a good foundation in mathematics, particularly in calculus and complex numbers. Practice and familiarizing yourself with different types of Fourier transforms and their applications can also help. Seeking guidance from experts and using resources such as textbooks and online tutorials can also be beneficial.

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