I have been reading Alan Macdonald's "Linear and Geometric Algebra" and got stuck on the example on pg 149 on the determinant of a two by two matrix. I have visited this question and am convinced this is not a duplicate because I am asking about the specific derivation in the book. The example is as follows:
Consider the general linear transformation on $\mathbb{R}^2:f(\mathbf{e}_1) = a\mathbf{e}_1 + c\mathbf{e}_2, f(\mathbf{e}_2) = b\mathbf{e}_1 + d\mathbf{e}_2$. Hence,
$$[f] = \begin{pmatrix} a & b \\ c & d \\ \end{pmatrix} $$ Then $\det(f) = ad-bc$: $f(\mathbf{i}) = f(\mathbf{e}_1 \wedge \mathbf{e}_2) = f(\mathbf{e}_1)\wedge f(\mathbf{e_2}) = (a\mathbf{e}_1 + c\mathbf{e}_2) \wedge (b\mathbf{e}_1 + d\mathbf{e}_2) = (ad-bc)(\mathbf{e}_1 \wedge \mathbf{e}_2) = (ad-bc)\mathbf{i}$.
My question is, why is $(a\mathbf{e}_1 + c\mathbf{e}_2) \wedge (b\mathbf{e}_1 + d\mathbf{e}_2) = (ad-bc)(\mathbf{e}_1 \wedge \mathbf{e}_2)$ true? No justification is given in this crucial step. I have been trying to simplify using the outer product space rules, but didn't get anywhere. Any help would be much appreciated.