Discovering the Fourier Transform to Solving for X(jω)

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Homework Help Overview

The discussion revolves around finding the Fourier transform of a piecewise function defined in terms of absolute values and shifts. The function is given as x(t) with specific conditions for |t-10|, and participants are exploring the implications of scaling and shifting in the context of Fourier transforms.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the relationship between the original function and a known function g(t), considering how scaling and shifting affect the Fourier transform. There are questions about the placement of factors in the transform equations and the correctness of specific expressions.

Discussion Status

Some participants have provided feedback on each other's approaches, pointing out potential errors and confirming correct interpretations. There is an ongoing exploration of the implications of scaling and shifting, with suggestions for alternative methods of analysis being discussed.

Contextual Notes

Participants are navigating through the complexities of Fourier transforms, particularly in relation to piecewise functions and the effects of transformations on the frequency domain representation. There are indications of confusion regarding specific factors and their placement in the equations.

Jncik
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Homework Statement


find the Fourier transform of the function

<br /> x(t)=\left\{\begin{matrix}<br /> &amp;25 - \frac{25}{8}|t-10| &amp;for &amp;|t-10|&lt;8 \\ <br /> &amp;0 &amp;for&amp; |t-10|&gt;8<br /> \end{matrix}\right.<br />

Homework Equations


The Attempt at a Solution



we know that

<br /> g(t)=\left\{\begin{matrix}<br /> &amp;1-|t| &amp;for &amp;|t|&lt;1 \\ <br /> &amp;0 &amp;for&amp; |t|&gt;1<br /> \end{matrix}\right.\leftrightarrow X(j\omega) =\left\{\begin{matrix}<br /> &amp;\begin{bmatrix}<br /> {\frac{\frac{sin(\omega)}{2}}{\frac{\omega}{2}}}<br /> \end{bmatrix}^{2} &amp;for &amp;|\omega|&lt;1 \\<br /> &amp;0 &amp;for&amp; |\omega|&gt;1<br /> \end{matrix}\right. <br />

we can see that x(t) = 25g(\frac{1}{8} (t-10))

now

25g(t-10) \leftrightarrow 25 X(j \omega) e^{-j 10 \omega}

and

25g(1/8(t-10)) \leftrightarrow \frac{25}{8} X(j\frac{\omega}{8}) e^{-j 10 \frac{\omega}{8}}

is this correct?

thanks in advance
 
Last edited:
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Your approach looks fine, but I think you got the factors of 8 in the wrong place. Since it divides t, it should be multiplying ω. Also, I'm not sure where you got the overall factor of 1/8 in front.

There's an error in what you wrote for X(ω), but I assume it's just a typo. It should be sin(ω/2), not (sin ω)/2.
 
Last edited:
Yes you're right

25g(1/8(t-10)) \leftrightarrow 200 X(j 8 \omega) e^{-j 80 \omega}

"Also, I'm not sure where you got the overall factor of 1/8 in front."

isn't 25g(1/8(t-10)) = x(t)?

for g(1/8 t - 10/8) and the first interval I will have

1 - |\frac{t}{8} - \frac{10}{8}| for |\frac{t}{8} - \frac{10}{8}|&lt;1

for the second interval I will get zero as a result

now if I multiply this by 25 I will get the following result for the first interval

25-\frac{25}{8}|t-10| for |t-10|&lt;8

and the second remains 0 but with interval |t-10|&gt;8

which is essentially the x(t)
 
Last edited:
I meant the 8 that you multiplied into the 25 to get 200. I didn't think it should be there, but I just checked the tables and found you were right.
 
thanks I have one more question

I think I'm wrong with my FT calculations25g(t-10) \leftrightarrow 25 X(j \omega) e^{-j 10 \omega}

but I have 25g(\frac{1}{8}(t-10))

hence
25g(1/8(t-10)) \leftrightarrow 200 X(j 8 \omega) e^{-j 10 \omega}

I mean I should first find 25 g(1/8 t)

and then

find the final result due to the shifting by 10...but I'm not sure about
 
Last edited:
Good catch. As you suggested, you can look at it as a shift by 10 of g(t/8). I think that's the simplest way.

You could, however, perform the shift first and then the scaling, but it's a bit tricky. The shift would have to be by 10/8, giving you g(t - 10/8). Then when you scale time, you replace t by t/8 to get g(t/8 - 10/8) = g[(t-10)/8]. In the frequency domain, the shift factor would originally be e-j(10/8)ω, and then the scaling would replace ω by 8ω, giving you e-j10ω again.
 
that was a nice alternative

thanks a lot for your help :)
 

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