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What Is the Fourier Transform?

(www.quantamagazine.org)
474 points rbanffy | 2 comments | | HN request time: 0.544s | source
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Salgat ◴[] No.45133006[source]
Always blew my mind that every signal can be recreated simply by adding different sine waves together.
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incognito124 ◴[] No.45133091[source]
Back in my uni days I did not get why that works. Why are sine waves special?

Turns out... they are not! You can do the same thing using a different set of functions, like Legendre polynomials, or wavelets.

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1. nestes ◴[] No.45133407[source]
To be maximally pedantic, sine waves (or complex exponentials through Euler's formula), ARE special because they're the eigenfunctions of linear time-invariant systems. For anybody reading this without a linear algebra background, this just means using sine waves often makes your math a lot less disgusting when representing a broad class of useful mathematical models.

Which to your point: You're absolutely correct that you can use a bunch of different sets of functions for your decomposition. Linear algebra just says that you might as well use the most convenient one!

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2. MontyCarloHall ◴[] No.45133533[source]
>They're eigenfunctions of linear time-invariant systems

For someone reading this with only a calculus background, an example of this is that you get back a sine (times a constant) if you differentiate it twice, i.e. d^2/dt^2 sin(nt) = -n^2 sin(nt). Put technically, sines/cosines are eigenfunctions of the second derivative operator. This turns out to be really convenient for a lot of physical problems (e.g. wave/diffusion equations).