Real Scalar Field Fourier Transform

In summary, the Fourier transform of the quantized real scalar field \phi(x) in Peskin and Schroeder or Ryder's QFT is written as \phi (x) = \int \frac{d^3k}{(2\pi)^3 2k_0} \left( a(k)e^{-ik \cdot x} + a^{\dagger}(k)e^{ik \cdot x} \right) to make the field real. This is achieved by adding the complex conjugate term, which results in a real expression.
  • #1
Xenosum
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Homework Statement



Silly question, but I can't seem to figure out why, in e.g. Peskin and Schroeder or Ryder's QFT, the Fourier transform of the (quantized) real scalar field [itex] \phi(x) [/itex] is written as

[tex] \phi (x) = \int \frac{d^3k}{(2\pi)^3 2k_0} \left( a(k)e^{-ik \cdot x} + a^{\dagger}(k)e^{ik \cdot x} \right) .[/tex]

It's just weird because the Fourier transform usually only has one term, and one coefficient.

Thanks for any help.

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The Attempt at a Solution


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  • #2
It just makes the field real. Note that the second term is the complex conjugate (or the hermitian conjugate once the coefficients have been promoted to operators) of the first term and in general, adding an expression to its complex conjugate gives something real.
 
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1. What is a real scalar field?

A real scalar field is a mathematical function that assigns a single value to every point in a particular space. It is a scalar because it has only magnitude and no direction, and it is real because its values are real numbers.

2. What is the Fourier Transform of a real scalar field?

The Fourier Transform of a real scalar field is a mathematical operation that decomposes the field into its constituent frequencies. It expresses the field as a sum of complex exponentials, which can reveal the underlying frequency components of the field.

3. How is the Fourier Transform of a real scalar field calculated?

The Fourier Transform of a real scalar field is calculated using an integral equation, which involves multiplying the field by a complex exponential and integrating over the entire space. This process is repeated for different frequencies to obtain the full spectrum of the field.

4. What are the applications of the Real Scalar Field Fourier Transform?

The Real Scalar Field Fourier Transform has many applications in various fields, including signal processing, image processing, and quantum mechanics. It is used to analyze the frequency content of signals, filter out unwanted noise, and study the behavior of quantum systems.

5. What are the limitations of the Real Scalar Field Fourier Transform?

While the Real Scalar Field Fourier Transform is a powerful tool for analyzing signals and systems, it has some limitations. It assumes that the field is continuous and infinite, which may not always be the case in real-world applications. Additionally, the inverse Fourier Transform may not always exist, making it difficult to reconstruct the original field from its frequency components.

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