I am self studying the tensor algebra, symmetric algebra and exterior algebra.
The exterior algebra brings a new definition of determinant to me.
I am curious what if $f:V \to V$ is a linear endomorphism on $n$ dimensional vector space $V$also with two linear maps $$\Lambda^i(f):\Lambda^i(V) \to \Lambda^i(v)\text{ and } S^i(f):S^i(V) \to S^i(V), i \geq 1$$
then what is the determinant of these maps?
The determinant of $f$ is just the map $\Lambda^n(f)$. So the determinant of $\Lambda^i(f)$ is just the map $\Lambda^{\binom{n}{i}}(\Lambda^i(f))$.
Is there any way to find $\Lambda^{\binom{n}{i}}(\Lambda^i(f))$ without involving matrices? I am looking for a general way to solve it. However, I am frustrated in the first step expanding
$$\Lambda^{\binom{n}{i}}(\Lambda^i(f))(w_1 \wedge \cdots\wedge w_{\binom{n}{i}}).$$
Is there any mistake?
Also I have no idea on $\Lambda^{\binom{\binom{n+k-1}{k}}{i}}(S^i(f))$. Is is possible to find them without involving matrices?