Is the Fourier Transform of J0(x) a Rect Function or a Ring Disk?

In summary, the Fourier transform of the Bessel function (zeroth order J0) can be represented as a rect function (window) in x,y space. However, in radial space, it can also be represented as a zeroth-order Bessel function. Both representations are correct and equivalent. The Fourier transform on a ring disk can be represented as a rectangular window divided by sqrt(1-omega^2).
  • #1
KFC
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In wiki (http://en.wikipedia.org/wiki/Fourier_transform), there said the Fourier transform of the Bessel function (zeroth order J0) is a rect function (window). But I also saw a text (about optics) that the Fourier transform on a ring slit (or ring disk) is zeroth-order Bessel function, so which one is correct? If wiki is correct, what is the Fourier transform on a ring disk?
 
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  • #2
Well presumably it is the same thing, but the first one is in x,y space, and the second in is radial space.
 
  • #3
KFC said:
In wiki (http://en.wikipedia.org/wiki/Fourier_transform), there said the Fourier transform of the Bessel function (zeroth order J0) is a rect function (window). But I also saw a text (about optics) that the Fourier transform on a ring slit (or ring disk) is zeroth-order Bessel function, so which one is correct? If wiki is correct, what is the Fourier transform on a ring disk?

It is a rectangular window divided by sqrt(1-omega^2). In case of the 2 dimensional Fourier transform, you are considering the function J0(sqrt(x^2 + y^2)) as nicksauce said.
 

FAQ: Is the Fourier Transform of J0(x) a Rect Function or a Ring Disk?

What is the Fourier transformation of J0(x)?

The Fourier transformation of J0(x) is a mathematical process that converts a function from its original domain (often time or space) to its representation in the frequency domain. In other words, it decomposes the function into its constituent frequencies.

What is the significance of J0(x) in the Fourier transformation?

J0(x) is a special type of Bessel function, which is a class of mathematical functions that arise in various physical and engineering problems. In the Fourier transformation, J0(x) is often used as a basis function to represent signals or functions that have circular symmetry.

How is the Fourier transformation of J0(x) calculated?

The Fourier transformation of J0(x) can be calculated using the integral representation of the Bessel function. This involves integrating the function over the entire real line and multiplying it by a complex exponential factor. The resulting expression is a series of complex numbers, known as the Fourier coefficients.

What are the applications of the Fourier transformation of J0(x)?

The Fourier transformation of J0(x) has numerous applications in various fields, including signal processing, image and audio compression, and solving differential equations. It is also used in Fourier optics, which studies the behavior of light waves and their interactions with optical systems.

Are there any limitations to the Fourier transformation of J0(x)?

Like any mathematical tool, the Fourier transformation of J0(x) has its limitations. It may not be suitable for all types of functions, and it has certain assumptions and constraints that must be met for it to be valid. Additionally, the calculation of the Fourier coefficients can be computationally intensive for complex functions.

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