Saw
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atyy said:The way to see the Fourier transform heuristically as a change of basis is to treat the function ϕ(x) that is being Fourier transformed as the representation of the vector, ie. ϕ(x) are the coordinates of a vector, with x being the index for the coordinates. Its Fourier transform ϕ~(k) is the representation of the same vector in different coordinates.
⟨x|Φ⟩=ϕ(x)=∫ϕ(y)δ(x−y)dy=∫ϕ~(k)exp(ikx)dk
I am glad you used this term, "heuristically", because that was one of the objectives of the OP: to confirm that the view of the FT as something akin to a change of basis can help to solve the problem of better understanding its mechanics, mechanics which consist precisely of solving problems by changing "perspective" or "representation system".
It is fine for me if the FT is not, strictly speaking, a change of basis. As FactChecker also said, the analogy may fly
FactChecker said:as long as it is not taken too literally in advanced operations.
Yes, analogies cannot be taken too far. They only work within their domain of applicability, which is given by their practical purpose. In this case, it is solving problems from another "angle". (By the way, it is said that the angle between time and frequency domains is 90 degrees...) If this other angle is another "space" instead of a "basis", that simply means that we need a generalized term that, at least for this purpose, covers the two things: "representation system", for example?
A different thing is that the second scope is, yes, understanding well why "change of basis" is not technically accurate. Here I still have questions:
* Does this apply only to the continuous case with infinite interval?
* The basis functions are not square-integrable, they don't belong to the same vector space. I see, although I still have to assimilate it...
*
atyy said:The technical issue is that the representation of the basis vectors is not normalizable,
This is linked, I understand, to the fact that the product of one basis vector (function) with itself is not 1 but infinity. But it would be 1 if you could normalize by dividing by the same infinite time interval over which you have integrated... Physics4Fun gave some solutions by means of which you could divide by infinity. In any case, I tend to think that this should not be an insurmountable problem.
* Then there is the issue of the subtraction not being possible, but I did not grasp if in the end this objection was maintained.
* Latest objection:
martinbn said:The Fourier transform maps ##L^2(\mathbb R/\mathbb Z)## to ##l^2(\mathbb Z)##.
Could you elaborate on that?