I'm trying to prove whether the below statement false:
For a real $3 \times 4$ matrix $A$, the function $q(\vec{x}) = \lVert \vec{Ax}\rVert^2$ cannot define a positive semidefinite quadratic form on $\mathbb{R}^4$ because $A$ is not square and hence it is non-invertible.
My approach would be to use the determinant test to show that there exists a matrix such that $A$ is positive semidefinite. Is this the correct approach?
Note that
$A: \Bbb R^4 \to \Bbb R^3; \tag 1$
as such,
$\ker(A) \ne \{0\}; \tag 2$
thus there exists a vector $\vec x \in \Bbb R^4$ with
$A \vec x = 0; \tag 3$
then
$q(\vec x) = \Vert A \vec x \Vert^2 = \Vert 0 \Vert^2 = 0, \tag 4$
so $q(\vec x)$ cannot be positive definite; however, if $A \ne 0$ there is some $\vec y \in \Bbb R^n$ with
$A\vec y \ne 0, \tag 4$
and for any such $\vec y$,
$q(\vec y) = \Vert A \vec y \Vert^2 > 0. \tag 5$
We see that $q(\vec x) \ge 0$ for all $\vec x \in \Bbb R^4$; thus $q(\vec x)$ is positive semidefinite.
The above argument does not invoke determinants.