I'm really struggling to grasp this. I know what you need to show to prove a set is a subspace. But I'm having issues showing that it's closed under Vector Addition and Scalar Multiplication.
It's not hard, but it's a matter of realizing what exactly you have to show and then writing it up nicely. Since the zero vector clearly satisfies both (homogeneous) equations, $W$ is not empty. Suppose you have two elements $(a_1,a_2,a_3,a_4) \in W$ and $(b_1,b_2,b_3,b_4) \in W$; then verify:
- $(a_1,a_2,a_3,a_4)+(b_1,b_2,b_3,b_4) \in W$
- $(ka_1,ka_2,ka_3,ka_4)\in W$ for $k \in \mathbb{R}$ arbitrary.
Because the two equations are linear and homogeneous, this should be easy. Now for the basis:
I've solved the system yes and gotten the various elements in terms of others (given that we have 2 equations and 4 unknowns, some elements will be written in terms of others)
Depending on which variables you chose (to solve for, in terms of the others), you should have a solution set of the form (choosing $x_1,x_2 \in \mathbb{R}$):
$$\left\{ \begin{array}{l} x_3 = -x_1+2x_2 \\ x_4 = x_1-x_2 \end{array}\right.$$
This means that any element of $W$ can be written in the form:
$$\begin{pmatrix}x_1 \\ x_2 \\ x_3 \\x_4 \end{pmatrix}
= \begin{pmatrix}x_1 \\ x_2 \\ -x_1+2x_2 \\ x_1-x_2 \end{pmatrix}
= x_1\color{blue}{\begin{pmatrix}1 \\ 0 \\ -1 \\ 1 \end{pmatrix}}
+ x_2\color{blue}{\begin{pmatrix}0 \\1 \\ 2 \\-1 \end{pmatrix}}$$
So any element of $W$ can be written as a linear combination of the two vectors in blue. Note (and check) that they are linearly independent.
Can you take it from here?