I Fourier transforms in Hilbert Space

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The discussion centers on the application of Fourier transforms within Hilbert spaces, particularly focusing on the representation of functions in classical physics using their Fourier components. It highlights the relationship between sine functions and Dirac delta functions, suggesting that each delta function corresponds to a specific Fourier element. The participant questions whether a reciprocal space for these delta functions can exist within the same Hilbert space, noting that delta functions are distributions rather than traditional functions. A reference to rigged Hilbert spaces is mentioned as a potential explanation for this premise. The conversation emphasizes the complexities of integrating distributions into the framework of Hilbert spaces.
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I am thinking about the simple Fourier transform: F( sin(nx) ) <--> iπ( δ(ω+n) - δ(ω-n) }
I believe I can represent most of the functions in classical physics, f(x), in a Hilbert space by expressing them using their Fourier components as a basis.
This leads to a spectrum which is represented by the dirac-delta functions. Each axis in the space represents "n" for the delta and its length is the multiplier of the Fourier element of that function.

I can define a reciprocal space for these delta functions, each axis for δ(ω+n) being sin(nx).

I thought that such a space would also exist in the same Hilbert space--but am I incorrect? The delta function does not seem to comply with the rules of elements in a Hilbert space--it is a distribution--not a function?

thanks-Fritz
 
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sonnichs said:
I thought that such a space would also exist in the same Hilbert space--but am I incorrect? The delta function does not seem to comply with the rules of elements in a Hilbert space--it is a distribution--not a function?
See https://en.wikipedia.org/wiki/Rigged_Hilbert_space.
 
Thank you Gavran. This explains my premise. -FS
 

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