$Ad \le 0$ iff $e_k^T A d \le 0$ for $i=1,...,m$.
A set of the form $\{ x | n^T x \le \alpha \}$ is quickly checked to be closed and convex from the definition.
The intersection of a collection of closed convex sets is convex.
Elaboration:
$G'=\{ x| Ax \le 0 \} = \{ x | e_1^T A x \le 0, ..., e_m^T A x \le 0 \} = \cap_{k=1}^m \{ x | e_k^T A x \le 0 \}$.
$e_k$ is the vector of zeros except for a one in the $k$th position.
Note that $e_k^T A$ is a column vector.
Each set $\{ x | e_k^T A x \le 0 \}$ is a half space, and to check if it closed,
suppose $x_n \to x$ and $e_k^TA x_n \le 0$.
Then by continuity (of the linear function $x \mapsto e_k^T Ax$) we have , $e_k^TAx \le 0$ and so the set is closed. To check convexity,
note that $x \mapsto e_k^T Ax$ is linear and so
$e_k^TA (\lambda x_1+(1-\lambda)x_2) = \lambda e_k^T A x_1 + (1-\lambda)e_k^T A x_2$ and so the set is convex.
It is straightforward to check that the intersection of closed sets is closed
and it is straightforward to check that the intersection of convex sets is convex.
For the $G_0$ set, the same sort of reasoning applies, the only difference
is that the intersection of a finite number of open sets is open (this
is the case here), not an arbitrary intersection.