Fourier Transform of f(t) = t h(t), where h(t) is the heaviside step function.
\[\int\limits_{0}^{\infty}t e ^{iwt}\]
But how do I solve it? Im not quite sure how to do it by hand
What's your definition for the step function?
The way we've been using it is 0 for t < 0, 1 for t > 0. Sorry for the late response
Okay, so it's the standard definition. Your integral setup is correct. Try integrating by parts.
Where \[u = t, du = dt; dv = e ^{iwt} dt, v = \frac{ 1 }{ iw } e ^{iwt}\] \[\left[ \frac{ t }{ iw }e ^{iwt} \right] 0 \to \infty - \int\limits_{0}^{\infty} \frac{ 1 }{ wt }e ^{iwt}dt\]
I feel like doing it the other way made it worse. These integrals go to infinity o_0
If I recall correctly, there's a formula for Fourier transforms that says \[\large\mathcal{F}\left\{t~u(t)~e^{-\alpha t}\right\}=\frac{1}{(\alpha+i\omega)^2}\] In this case, you'd have \(\alpha=0\), so it looks like that integral should converge...
In mathematica, I got something in terms of a delta'(w), one sec...
Yes I'm getting the same result, \[-\frac{1}{\sqrt{2\pi}\omega^2}-i\sqrt\frac{\pi}{2}\delta'(\omega)\]
Yet integrating manually (via Mma, at least) yields \(-\dfrac{1}{\omega^2}\), which agrees with that formula.
Can you explain that part please? I wasnt sure how to get the complicated result but I see now how to get the result from the transform formula you showed me just now
I'm trying to figure out the difference myself ;)
Haha, alright, thanks for the help again
And where can I find that transform formula/others like it by chance?
Here's one table I just found (bottom of third page): http://uspas.fnal.gov/materials/11ODU/FourierTransformPairs.pdf
I think the discrepancy is that Mathematica uses a different definition for the transform.
Ah, just missed that one. Thank you
Yeah, it uses the different coefficient =/
What Mma uses: http://mathworld.wolfram.com/FourierTransform.html What you seem to be using: \[\large\mathcal{F}\{f(t)\}:=\int_{-\infty}^\infty f(t)e^{-i\omega t}~dt\]
I think, in your work above, you're missing the negative in the exponent. This should fix the result.
I blame the teacher. He has it opposite and I have been trying to figure out why. He uses positive for t-> frequencey and negative for backwards. Then he uses negative/positive for x -> k
Why does the MM answer equal the simpler answer?
Im not sure what to do with delta prime... or how to understand it anyways
I think the software uses a different algorithm for `FourierTransform[]` than it does for `Integrate[]`.
It might have to do with its definition of the step function, which seems to be zero for \(t<0\) and 1 for \(t>0\) as opposed to \(\le0\) or \(\ge1\).
Gotcha, ill try to look into some more. Thanks for everything!
Wait. Does the above Fourier Transform formula work if e isnt explicitly in the function?
f(t) = t h(t)
You can always write any function that doesn't explicitly contain an exponential function by tacking on a factor of \(e^0\).
True point
So what we could have done was multiply the transform of t by the transform of u(t) ? This gives me.... |dw:1416373919753:dw|
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