- #1

sphys

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Could someone help me to calculate the Fourier transform of the following function:

rect(x/d)exp(2ipia|x|)

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- Thread starter sphys
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In summary, the conversation discusses calculating the Fourier transform of a function involving a rectangle and exponential function. There is a suggestion to use the convolution theorem to find the transform, but it is not allowed according to forum rules. Instead, the approach is to find the transforms of the individual functions and then convolve them.

- #1

sphys

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- 0

Could someone help me to calculate the Fourier transform of the following function:

rect(x/d)exp(2ipia|x|)

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- #2

mathman

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What is rect(x/d)?

- #3

sphys

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rect(x/d) is a rectangle function.

rect(x/d)=1 if -d/2<x<d/2;

rect(x/d)=0 if x<-d/2 or x>d/2.

rect(x/d)=1 if -d/2<x<d/2;

rect(x/d)=0 if x<-d/2 or x>d/2.

- #4

mathman

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∫(x=-d/2,0)exp(-2πiax+itx) dx + ∫(x=0,d/2)exp(2πiax+itx) dx

- #5

sphys

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Instead of numerical solution, is there an analytical solution for this problem?

- #6

vela

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You could try using the convolution theorem to find the Fourier transform, but that seems like even more work.

- #7

sphys

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Can you please give me the solution using the convolution theorem?

- #8

vela

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[tex]\mathcal{F}[f(x)g(x)]=\mathcal{F}[f(x)]*\mathcal{F}[g(x)][/tex]

so you just have to find the transforms of the rectangle and exponential functions individually and convolve the results.

A Fourier transform is a mathematical operation used to decompose a complicated function into its constituent frequencies. It converts a function from its original time or space domain into a frequency domain, allowing us to analyze the function in terms of its frequency components.

The Fourier transform works by decomposing a function into its individual frequency components. It does this by representing the function as a sum of sine and cosine waves, each with a different frequency and amplitude. This allows us to see the relative contributions of each frequency to the overall function.

The Fourier transform can be applied to a wide range of functions, including continuous and discrete functions. It is commonly used in signal processing, engineering, physics, and many other fields to analyze and manipulate complex functions.

The Fourier transform has many practical applications, including signal filtering, noise reduction, image processing, and data compression. It is also used in various fields of science and engineering to analyze and solve differential equations, as well as in quantum mechanics and optics to describe the behavior of waves.

Yes, the Fourier transform is reversible, meaning that the original function can be retrieved from its frequency domain representation. This is done by applying the inverse Fourier transform, which converts the frequency components back into the original function in the time or space domain.

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