Undergrad Does Each Component of a Vector Have an Independent Fourier Transform?

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The discussion clarifies that the Fourier transform of a vector-valued function does not yield independent transforms for each component. Instead, the Fourier transform maps vectors to vectors, preserving the dimensionality of the original function. The correct formulation shows that the Fourier transform of a vector function results in a vector of Fourier transforms, not individual scalar transforms. The relationship between position and momentum illustrates this principle, emphasizing that both are treated as vectors in Fourier space. Overall, the Fourier transform maintains the integrity of vector relationships, preventing loss of information.
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TL;DR
Is the Fourier transform of a function whose argument is a vector equivalent to performing a Fourier transform on the function of each vector component separately?
Given ##f(\vec{x})##, where the Fourier transform ##\mathcal{F}(f(\vec{x}))= \hat{f}(\vec{k})##.
Given ##\vec{x}=[x_1,x_2,x_3]## and ##\vec{k}=[k_1,k_2,k_3]##, is the following true?

\begin{equation}

\begin{split}

\mathcal{F}(f(x_1))&= \hat{f}(k_1)

\\

\mathcal{F}(f(x_2))&= \hat{f}(k_2)

\\

\mathcal{F}(f(x_3))&= \hat{f}(k_3)

\end{split}

\end{equation}

such that

\begin{equation}

\begin{split}

f(\vec{k})&= [\hat{f}(k_1), \hat{f}(k_1), \hat{f}(k_1)]

\end{split}

\end{equation}
 
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Your notation is not entirely clear to me. (Also, I think there are typos in (2)?)

In any case, I don't think what you want will work. Let's say that ##f## maps vectors to scalars. Then the Fourier transform ##\hat{f}## is still scalar-valued, but your vector of partial Fourier transforms is vector-valued.
 
You are correct; the equation should be the following:

\begin{equation}

\begin{split}

\hat{f}(\vec{k})&= [\hat{f}(k_1), \hat{f}(k_2), \hat{f}(k_3)]

\end{split}

\end{equation}

The Fourier transform maps vectors to vectors; otherwise one could not transform back from the Fourier conjugate space to the original vector space with the inverse Fourier transform. Information would have been lost in the mapping of a vector to a scalar.

That the Fourier conjugate of a vector is also a vector is seen in the variance relationship between Fourier conjugates, such as for example between position ##\vec{x}## and momentum ##\hbar \vec{k}##, where both are 3-vectors.
 
In your example ##f## is a scalar-valued function of 3 variables. It's Fourier transform is therefore a scalar-valued function of 3 variables. The forward and inverse transforms are then
##
\begin{eqnarray*}
\hat{f}(\vec{k}) & = & \int_{-\infty}^\infty f(\vec{x})\, e^{-i \vec{k}\cdot\vec{x}} \, d^3x\\
& = & \int_{-\infty}^\infty \int_{-\infty}^\infty \int_{-\infty}^\infty f(x_1,x_2,x_3)\, e^{-i (k_1 x_1 + k_2 x_2 + k_3 x_3)} \, dx_1 dx_2 dx_3 \\
f(\vec{x}) & = & \frac{1}{(2\pi)^3} \int_{-\infty}^\infty \hat{f}(\vec{k})\, e^{i \vec{k}\cdot\vec{x}} \, d^3k \\
& = & \frac{1}{(2\pi)^3} \int_{-\infty}^\infty \int_{-\infty}^\infty \int_{-\infty}^\infty \hat{f}(k_1,k_2,k_3)\, e^{i (k_1 x_1 + k_2 x_2 + k_3 x_3)} \, dk_1 dk_2 dk_3
\end{eqnarray*}
##

jason
 
Got it. My mistake.
 
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