I've come across Parseval's theorem and Plancherel’s formula several times on this forum. Each time they're referenced they're mentioned in regards to inner products in general. However, every proof I find of them deals specifically with inner products of the form $$\langle f,g\rangle = \int_{- \infty}^{\infty} f(x)g(x)dx$$
I'm attempting to apply this theorem to a situation such as this: If $\bar{u}(x,y,z)$ is a field of 3-D vectors over $\mathbb{R}^3$ (by this I mean that at for every coordinate $(a,b,c) \in \mathbb{R}^3$, $\bar{u}(a,b,c)$ is a three dimensional vector in the Euclidian sense) and we define the inner product of two such fields, $\bar{u}(x,y,z)$ and $\bar{w}(x,y,z)$, to be $$<\bar{u}(x,y,z),\bar{w}(x,y,z)> = \phi(x,y,z)$$ Where $\phi(x,y,z)$ is a scalar field such that $$\phi(a,b,c) = \bar{u}(a,b,c) \cdot \bar{w}(a,b,c)$$ then can we apply Parseval's theorem to this inner product to say that $$<\bar{u}(x,y,z),\bar{w}(x,y,z)> = <\hat{u}(k_x,k_y,k_z),\hat{w}(k_x,k_y,k_z)>$$ where the hats indicate a three dimensional Fourier transform, and $k_x,k_y,k_z$ signify the Fourier units for $x,y,z$ respectively?
I feel like the answer is no since this isn't exactly an inner product due to the fact that it produces a scalar field rather than a scalar.
Furthermore, I think this serves as a counter example: Let $\nabla \times \bar{u}(x,y,z)$ be the curl of $\bar{u}(x,y,z)$. Then if this was true we could express the inner product of these two vector fields as $$<\bar{u},\nabla \times \bar{u}>=<\hat{u},i\bar{k}\times \hat{u}>$$ where i is the imaginary unit and $\bar{k}$ is the vector $(k_x,k_y,k_z)$ and $\times$ indicates a cross product. This inner product would then evaluate to $0$, even though the original expression is not necessarily zero.
Does anyone have any thoughts or insights on this though? I'm still not too sure and would love to hear some other opinions.If Parseval's theorem doesn't apply here, does anyone have any ideas of other theorems or things we could say about this?
Let $v = (v_0, v_1, v_2)$ and $w = (w_0, w_1, w_2)$. Consider the functions $$f_v(x) = \begin{cases} v_0 & \mbox{if } x \in [0,1) \\ v_1 & \mbox{if } x \in [1,2) \\ v_2 & \mbox{if } x \in [2,3) \\ 0 & \mbox{otherwise} \end{cases} $$ and $$f_w(x) = \begin{cases} w_0 & \mbox{if } x \in [0,1) \\ w_1 & \mbox{if } x \in [1,2) \\ w_2 & \mbox{if } x \in [2,3) \\ 0 & \mbox{otherwise} \end{cases} $$ Then $$\langle f_v, f_w \rangle = \int_{-\infty}^\infty f_v(x)f_w(x)\,dx = v_0w_0 + v_1w_1 + v_2 w_2 = \langle v,w \rangle.$$ In this sense, the inner product of vectors is a special case of the inner product of functions. (It is the special case where the functions are of the form $f_v$ and $f_w$.)