Four-fold periodicity of Fourier transform

In summary, The duality principle can be applied by taking the transform of a function four times, resulting in the original function. This process involves a sign change of the argument and can be further explored through the study of operators.
  • #1
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I was looking through some examples which applied the duality principle while studying for an up and coming exam when it hit me that the transform applied 4 times gives you back the same function.

So is there some theory that uses this? perhaps some sort of operator?

I thought it interesting but couldn't find any information on it, what should I look up to learn more about this?
 
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  • #2
When you take two steps you get back the original function with a sign change of the argument, i.e. f(x)->f(-x), so after two more steps you get back to f(x).
 

Related to Four-fold periodicity of Fourier transform

1. What is the four-fold periodicity of Fourier transform?

The four-fold periodicity of Fourier transform refers to the property of a Fourier transform where the transformed function has a period of four times the original function. This means that if a function is repeated four times, the resulting Fourier transform will have the same shape.

2. How is the four-fold periodicity of Fourier transform useful?

The four-fold periodicity of Fourier transform allows for the analysis and manipulation of signals and functions that have repeating patterns, making it a powerful tool in signal processing, image processing, and data compression.

3. What is the relationship between the four-fold periodicity of Fourier transform and the Discrete Fourier Transform (DFT)?

The four-fold periodicity property is also present in the DFT, which is a discrete version of the Fourier transform. This means that the DFT also has the ability to represent functions with a period of four times the original function.

4. How can the four-fold periodicity of Fourier transform be applied in real-world applications?

The four-fold periodicity of Fourier transform has a wide range of applications, including image and audio compression, denoising, and filtering. It is also used in fields such as telecommunications, astronomy, and engineering.

5. Are there any limitations to the four-fold periodicity of Fourier transform?

While the four-fold periodicity is a useful property of the Fourier transform, it is limited to functions with a period of four times the original function. It cannot be applied to functions with different periods, and the accuracy of the resulting transform can be affected by noise and other factors.

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