Hi I was working on calc homework and am currently stuck on a Fourier transform problem. I may be missing something or it could be the wording. Any help would be appreciated. The problem is attached in the link below. Thank you.
I think you can estimate this using \[ f \lambda = c \\ \frac{1}{\Delta t}\cdot \Delta x = c \\ \Delta t = \frac{\Delta x}{c} \] for 1 cm you get about 33 picoseconds. The Fourier transform of a gaussian is a gaussian, but in the other domain.
I believe we must use an integral. I thank you for your answer but I doubt that this is a simple plug and chug problem.
I know Fourier series but I have no idea about pulses with shapes.. Is there any relation with the Heisenberg uncertainty principle?
Like, both the function and its transform will be bell curves, and you have something like FREQUENCY_thing x TIME_thing \(\ge \frac1{16\pi^2}\). And you want FREQUENCY_thing to be small ... so that impacts on TIME_thing.
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