How to Easily Convolve a Function with Itself?

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In summary, the conversation discusses the possibility of an easy way to convolve a function with itself. The concept of autocorrelation is introduced, along with the Wiener-Khinchin Theorem. The idea of taking the Fourier transform of a function, squaring it, and taking the inverse transform is suggested, although it may be complicated for certain functions such as a squared Bessel function. The person expresses gratitude for the suggestion.
  • #1
thomitsu
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Hallo there!

I was wondering wether there is an easy way to convolve a function with itself.
For example is ther an easy formula or something that gives directly the result?
thanks in advance
 
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  • #2


for example, for correlation...

The correlation of a function with itself is called its autocorrelation
In this case the correlation theorem becomes
the transform pair
– This is the Wiener-Khinchin Theorem
Corr(g,g)↔G( f )G*( f ) = G( f )^2

Is there something like that for convolution?
 
  • #3


I don't know if it helps any, but take the Fourier transform of the function, square the transform, and take the inverse transform of the result.
 
  • #4


Oh god! This is so complicated( my function is a squared bessel function)! I will try it though.thank you so much!
 

FAQ: How to Easily Convolve a Function with Itself?

What is convolution and why is it important in scientific research?

Convolution is a mathematical operation that combines two functions to produce a third function. It is important in scientific research because it allows us to analyze the relationship between two functions and understand how they interact with each other.

What are the benefits of using an easy way to convolve a function?

An easy way to convolve a function can save time and effort in calculating convolutions, especially when dealing with complex functions. It also reduces the chances of human error in the calculation process.

How do I choose the appropriate method for convolving a function?

The appropriate method for convolving a function depends on the type of functions being convolved and the desired outcome. Some common methods include graphical convolution, numerical convolution, and symbolic convolution.

Can convolution be applied to non-mathematical functions?

Yes, convolution can be applied to any type of function, whether it is mathematical or not. For example, it can be used in signal processing to analyze the effects of a filter on a signal.

Are there any limitations to convolving a function?

One limitation of convolving a function is that it assumes the functions being convolved are continuous. It may also be computationally intensive for complex functions, requiring specialized software or algorithms.

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