Fourier Transform and Hilber transform, properties

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The Fourier transform converts a time-domain function into a frequency-domain representation, effectively providing two expressions for the same signal. In contrast, the Hilbert transform generates a new signal that is not equal to the original, yet it maintains a one-to-one mapping by shifting the function by 90 degrees. There is a debate about whether the Fourier transform is truly one-to-one, as it involves integration over an infinite range, which may affect its structural equivalence. The discussion also questions the physical differences between the original signal and the Hilbert transform, despite the latter being described as a distinct signal. Overall, the conversation highlights the complexities of understanding the relationships and properties of these transforms.
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Textbook says, Fourier transform expresses a function in time domain as a function in frequency domain. Basically, Fourier transform gives two different expressions in terms of t domain and f domain but they represent the same signal.

It also says Hilbert transform is a different type of transform because it gives a new signal not equal to the previous one.

However, I do not think Fourier transform does 1 to 1 mapping since we have to integrate t for -infinity to +infinity. (ex, t=1 converts to f=constant.) I understand F.T shifts the domain, but strictly speaking, I don't think they have exactly the same structure (function-wise).

In contrast, Hilber transform does 1 to 1 mapping as it shifts the original function by 90 degree. In this case function structure is conserved.I wonder why we say Hilbert transform is a totally different signal from the original one. is it because they are physically different?
 
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Fourier transform is 1-1. The inverse transform will give you the same function back (except on a set of measure 0).
 
mathman said:
Fourier transform is 1-1.

With what domain and codomain?
 
micromass said:
With what domain and codomain?
Reals and reals.
 
mathman said:
Reals and reals.

So the Fourier transform of a real number is a real number?
 

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