Is my proof of this proposition correct ? And is this proposition well known?
Proposition: Let $C$ be a closed, bounded, and convex set in a separable Hilbert space $H$. Let $L : H \to \mathbb{R}^n$ be a continuous linear transformation. Then $L(C)$ is compact in $\mathbb{R}^n$.
Proof:
Since $H$ is a Banach space, and $C$ is closed and convex, $C$ is weakly closed (Mazur's Theorem in Lang's Real Analysis). Since $H$ is a reflexive Banach space, closed balls are weakly compact (Kakutani's Theorem). Since $C$ is bounded it is contained in a weakly compact ball, and since $C$ is weakly closed, $C$ is weakly compact.
Since $L$ is continuous in the strong topologies, it is continuous in the weak topologies (this fact seems to be well known). So $L(C)$ is weakly compact in $\mathbb{R}^n$,
and since the weak and strong topologies on $\mathbb{R}^n$ are the same, $L(C)$ is compact in $\mathbb{R}^n$. $\square$
Convexity is essential. Otherwise I have a counterexample.
This is not a homework problem. The motivation comes from the physics of color. In my case $H$ is $L^2([380,780])$ where 380 and 780 are wavelengths of light in nanometers. $C$ is the subset of functions that take values in $[0,1]$ and each such function represents the spectral reflectance (or spectral transmittance) of a material over this interval of wavelengths. $\mathbb{R}^n$ is the 3D space of CIEXYZ tristimulus coordinates. $L$ is the linear mapping from the reflectance of the material to CIEXYZ, for a fixed spectral illuminant. $L(C)$ is the set of all possible material colors for the given illuminant.
Thank you.