Fourier Transform of Curl and Divergence Free Vector Function

Your Name] In summary, the conversation discusses the decomposition of a vector function into curl and divergence free parts. The speaker is attempting to take the Fourier transform of these parts but is unsure of where to begin. They mention the need to consider individual components and the properties of the Fourier transform in order to simplify the integral. They also seek advice or suggestions for tackling this problem.
  • #1
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For some reason I can't post everything at once... gives me an error
A vector function can be decomposed to form a curl free and divergence
free parts:

[tex]\vec{f}(\vec{r})=\vec{f_{\parallel}}(\vec{r'})+\vec{f_{\perp}}(\vec{r'})[/tex]

where

[tex]\vec{f_{\parallel}}(\vec{r'}) = - \vec{\nabla} \left( \frac{1}{4 \pi} \int d^3 r' \frac{\vec{\nabla'} \cdot \vec{f}(\vec{r'})}{|\vec{r}-\vec{r'}|} \right)[/tex]

and

[tex]\vec{f_{\perp}}(\vec{r'}) = \vec{\nabla} \times \left( \frac{1}{4 \pi} \int d^3 r' \frac{\vec{\nabla'} \times \vec{f}(\vev{r'})}{|\vec{r}-\vec{r'}|}[/tex]

I am trying to take the Fourier transform of [itex]\vec{f_{\parallel}}(\vec{r'})[/itex] and [itex]\vec{f_{\perp}}(\vec{r})[/itex]


I am starting at [itex]\vec{f_{\parallel}}(\vec{r'})[/itex]. We know that the Fourier transform is given by:

[tex] \vec{f}(\vec{k}) = \int_{-\infty}^{\infty} d^3r e^{- i \vec{k} \cdot \vec{r}} \vec{f}(\vec{r}) [/tex]


[tex] \vec{f}(\vec{r}) = \frac{1}{(2 \pi)^3} \int_{-\infty}^{\infty} d^3k e^{- i \vec{k} \cdot \vec{r}} \vec{f}(\vec{k}) [/tex]


I'm not exactly sure where to begin. If I just plug and chug , we'd have:

[tex] \vec{f}(\vec{k}) = \int_{-\infty}^{\infty} d^3r e^{- i \vec{k} \cdot \vec{r}} \vec{f}(\vec{r}) [/tex]

[tex] \vec{f}(\vec{k}) = \int_{-\infty}^{\infty} e^{- i \vec{k} \cdot \vec{r}} - \vec{\nabla} \left( \frac{1}{4 \pi} \int \frac{\vec{\nabla'} \cdot \vec{f}(\vec{r'})}{|\vec{r}-\vec{r'}|} d^3 r' \right) d^3r [/tex]


I just do not see a simple way of tacking this problem. Any thoughts would be appreciated.
 
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  • #2




Thank you for sharing your question and thoughts on this topic. I can understand your frustration with not being able to post everything at once. Technical errors can be quite frustrating, but it's important to stay calm and approach the problem with a clear mind.

In regards to your question, taking the Fourier transform of vector functions can be a tricky task, but it is definitely doable. Your approach so far is on the right track, but there are a few steps that need to be clarified.

Firstly, when taking the Fourier transform of a vector function, we need to consider the individual components of the vector separately. This means that we need to take the Fourier transform of each component of \vec{f_{\parallel}}(\vec{r'}) and \vec{f_{\perp}}(\vec{r'}).

Secondly, we need to keep in mind that the Fourier transform of a derivative is not simply the derivative of the Fourier transform. In this case, we need to use the properties of the Fourier transform to simplify the integral before taking the derivative.

Finally, after taking the Fourier transform of each component, we can combine them to get the Fourier transform of the entire vector function.

I would recommend breaking down the problem into smaller steps and carefully applying the properties of the Fourier transform. It may also be helpful to consult with a colleague or refer to a textbook for guidance.

I hope this helps and good luck with your calculations! Keep pushing through and don't get discouraged by technical difficulties. As scientists, we learn to overcome challenges and find solutions to complex problems.



 

1. What is the Fourier Transform of Curl and Divergence Free Vector Function?

The Fourier Transform of Curl and Divergence Free Vector Function is a mathematical operation that allows us to analyze a vector field in terms of its frequency components. It decomposes the vector function into its individual frequency components, which can then be analyzed and manipulated using Fourier analysis techniques.

2. Why is the Fourier Transform of Curl and Divergence Free Vector Function important in science?

The Fourier Transform of Curl and Divergence Free Vector Function is important in science because it allows us to analyze and understand complex vector fields in terms of their frequency components. This is useful in various fields such as signal processing, image processing, and fluid dynamics, where understanding the frequency components of a vector field can provide valuable insights.

3. How is the Fourier Transform of Curl and Divergence Free Vector Function calculated?

The Fourier Transform of Curl and Divergence Free Vector Function is calculated using a mathematical formula that involves integrating the vector function over all space and applying the Fourier transform operation. This can be done using various mathematical software programs or through manual calculations.

4. What are some practical applications of the Fourier Transform of Curl and Divergence Free Vector Function?

The Fourier Transform of Curl and Divergence Free Vector Function has many practical applications in science and engineering. It is used in signal processing to analyze signals in the frequency domain, in image processing to enhance and filter images, and in fluid dynamics to analyze and manipulate fluid flows.

5. Are there any limitations to the Fourier Transform of Curl and Divergence Free Vector Function?

Like any mathematical operation, the Fourier Transform of Curl and Divergence Free Vector Function has some limitations. It is only applicable to vector fields that satisfy certain conditions, such as being divergence-free and having a finite energy. Additionally, the Fourier Transform may not accurately represent a vector field with sharp discontinuities or singularities.

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