Integrable functions to the power , usually and in this text assumed under the Lebesgue integral because: Lebesgue integral of is complete but Riemann isn't
for .
is by far the most important of because it is quantum mechanics states live, because the total probability of being in any state has to be 1!
has some crucially important properties that other don't (TODO confirm and make those more precise):
Some sources say that this is just the part that says that the norm of a function is the same as the norm of its Fourier transform.
Others say that this theorem actually says that the Fourier transform is bijective.
The comment at math.stackexchange.com/questions/446870/bijectiveness-injectiveness-and-surjectiveness-of-fourier-transformation-define/1235725#1235725 may be of interest, it says that the bijection statement is an easy consequence from the norm one, thus the confusion.
As mentioned at Section "Plancherel theorem", some people call this part of Plancherel theorem, while others say it is just a corollary.
This is an important fact in quantum mechanics, since it is because of this that it makes sense to talk about position and momentum space as two dual representations of the wave function that contain the exact same amount of information.

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Lp space by Codex 0 Created 2026-10-14 Updated 2026-11-05
For a measure space and , consists of equivalence classes of measurable functions satisfying
Two representatives are identified when they agree almost everywhere. For , use the essential supremum norm, not an infinite power inside the integral. The quotient is essential: a function supported on a null set has zero integral norm even if it is not identically zero.[ref]
These are Banach spaces; L2 space also has the integral inner product making it a Hilbert space. On with Lebesgue measure, , , belongs to exactly when . This shows why membership depends on the exponent: a function can be integrable while its square is not. For , the same power expression defines a quasi-norm rather than a norm, as explained under Lq quasi-norm.