Are Fourier transforms unique?

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If the Fourier transforms of two functions g(x) and h(x) are equal for all real k, they are equal almost everywhere, meaning they can differ only on a set of points with zero Lebesgue measure. Setting k = 0 shows that the functions have the same average value, but does not confirm they differ by a constant. The assumption of "nice" functions ensures that the inverse Fourier transform exists, reinforcing that g(x) equals h(x) almost everywhere. This discussion emphasizes the importance of the Fourier inversion theorem in establishing the uniqueness of Fourier transforms. Understanding Lebesgue measure is crucial for grasping the nuances of this topic.
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If

\int{g(x)e^{ikx}dx}=\int{h(x)e^{ikx}dx}

for all real k, can I conclude that g(x) = h(x) for all real x?

If the answer is yes, please help me see it, if it is not too much trouble.
 
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By setting k = 0 you know they differ by a constant. Show that this constant is 0.
 
pellman said:
If

\int{g(x)e^{ikx}dx}=\int{h(x)e^{ikx}dx}

for all real k, can I conclude that g(x) = h(x) for all real x?

If the answer is yes, please help me see it, if it is not too much trouble.

You have to rely on Fourier inversion theorem, that you can find in any book that talks about Fourier transforms. In general, two functions (square integrable) that have the same Fourier transform are equal "almost everywhere", that is, everywhere except on a set of points with zero Lesbegue measure.

Jarle said:
By setting k = 0 you know they differ by a constant. Show that this constant is 0.

For k = 0 you only know they have the same average value, not that they differ by a constant.
 
Petr Mugver said:
For k = 0 you only know they have the same average value, not that they differ by a constant.

My apologies, you are right of course.
 
Assuming the functions are nice, so that the inverse Fourier transform exists, then g(x)=f(x) almost everywhere. The expression for the inverse transform looks just like the expression for the transform except for a sign reversal in the exponent.

In other words, let H(t) be the Fourier transform of f(x) or g(x), then the inverse transform of H(t) (call it h(x)) equals f(x) (and g(x)) almost everywhere.
 
Petr Mugver said:
In general, two functions (square integrable) that have the same Fourier transform are equal "almost everywhere", that is, everywhere except on a set of points with zero Lesbegue measure


Thanks! I will have to read up on Lesbegue measure.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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