Lim of Convolution: Fourier Analysis Solution

In summary, if f(x) = 1 + cos(2\pi x), then the Fourier coefficients are given by $\hat{f}(n) = \frac12(n = \pm1), 1, 0\;\;\;\text{otherwise}.$
  • #1
Sonifa
4
0
Let f(x)=1+cos 2\pix and let fk=f*...*f (k-times convolution)

what is the value of lim fk(1/2) when k tends to infinity

Should use something about the Fourier Analysis, Could someone help me how to solve this problem?
 
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  • #2
Sonifa said:
Let f(x)=1+cos 2\pix and let fk=f*...*f (k-times convolution)

what is the value of lim fk(1/2) when k tends to infinity

Should use something about the Fourier Analysis, Could someone help me how to solve this problem?
Hi Sonifa, and welcome to MHB!

If you want to get some replies to your post, I think you need to explain the problem a bit more clearly. In particular,
(1) the definition of $f(x)$ is unclear. Is it meant to be $f(x) = 1 + \cos\bigl(\frac2\pi x\bigr)$?
(2) what is the domain of the function? It could be the unit interval, the whole real line, or something in between. That will affect the definition of convolution, because $f*f$ is defined as \(\displaystyle (f*f)(x) = \int f(y)f(x-y)\,dy,\) where the integral is taken over the domain of $f$.
 
  • #3
Opalg said:
Hi Sonifa, and welcome to MHB!

If you want to get some replies to your post, I think you need to explain the problem a bit more clearly. In particular,
(1) the definition of $f(x)$ is unclear. Is it meant to be $f(x) = 1 + \cos\bigl(\frac2\pi x\bigr)$?
(2) what is the domain of the function? It could be the unit interval, the whole real line, or something in between. That will affect the definition of convolution, because $f*f$ is defined as \(\displaystyle (f*f)(x) = \int f(y)f(x-y)\,dy,\) where the integral is taken over the domain of $f$.

The function should be $f(x) = 1 + \cos\bigl(2\pi x\bigr)$ and it is defined on the unict circle R/Z
 
  • #4
If $f(x) = 1 + \cos(2\pi x) = 1 + \frac12e^{2\pi ix} + \frac12e^{-2\pi ix}$ then the (complex) Fourier coefficients are given by $$\hat{f}(n) = \begin{cases}\frac12&(n = \pm1), \\ 1&(n=0, \\ 0&(\text{otherwise}). \end{cases}$$ The Fourier transform converts convolution products to pointwise products, so it follows that $$\hat{f_k}(n) = \begin{cases}2^{-k}&(n = \pm1), \\ 1&(n=0, \\ 0&(\text{otherwise}). \end{cases}$$ Therefore $f_k(x) = 1 + 2^{-k}\bigl(e^{2\pi ix} + e^{-2\pi ix}\bigr) = 1 + 2^{1-k}\!\cos(2\pi x).$ From that, you should easily be able to find \(\displaystyle \lim_{k\to\infty}f_k(1/2).\)
 
  • #5
Opalg said:
If $f(x) = 1 + \cos(2\pi x) = 1 + \frac12e^{2\pi ix} + \frac12e^{-2\pi ix}$ then the (complex) Fourier coefficients are given by $$\hat{f}(n) = \begin{cases}\frac12&(n = \pm1), \\ 1&(n=0, \\ 0&(\text{otherwise}). \end{cases}$$ The Fourier transform converts convolution products to pointwise products, so it follows that $$\hat{f_k}(n) = \begin{cases}2^{-k}&(n = \pm1), \\ 1&(n=0, \\ 0&(\text{otherwise}). \end{cases}$$ Therefore $f_k(x) = 1 + 2^{-k}\bigl(e^{2\pi ix} + e^{-2\pi ix}\bigr) = 1 + 2^{1-k}\!\cos(2\pi x).$ From that, you should easily be able to find \(\displaystyle \lim_{k\to\infty}f_k(1/2).\)

Finally, I got the same solution as yours. But still many thanks!
 

FAQ: Lim of Convolution: Fourier Analysis Solution

1.

What is Lim of Convolution?

The Lim of Convolution is a mathematical operation used in Fourier analysis to find the limit of the convolution of two functions as one of the functions approaches infinity.

2.

What is Fourier analysis?

Fourier analysis is a mathematical technique used to decompose a complex function into simpler components, often represented as a sum of sine and cosine waves.

3.

Why is the Lim of Convolution important in Fourier analysis?

The Lim of Convolution is important in Fourier analysis because it allows us to simplify complex functions into a series of simpler components, making it easier to analyze and interpret the data.

4.

How is the Lim of Convolution calculated?

The Lim of Convolution is calculated by taking the product of the Fourier transforms of the two functions, and then taking the inverse Fourier transform of the result.

5.

What are some practical applications of Lim of Convolution?

The Lim of Convolution has many practical applications in various fields such as signal processing, image processing, and data analysis. It is used to filter noise from signals, enhance images, and extract useful information from data. It is also used in solving differential equations and in physics to study wave phenomena.

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