We begin with $$\lambda v = Tv$$ where $\lambda$ is an eigenvalue, $v$ is an eigenvector, and $T$ is the transformation in question. We state $$\lambda v - Tv = 0$$ We then must state $$(\lambda I - T)v = 0$$What allows us to bring in $I$, the identity matrix? I understand that subtraction of a linear transformation (or matrix) from a scalar is ill-defined, but what permits us to multiply $\lambda$ by $I$? Would a more rigorous evaluation be \begin{align*} \lambda v - Tv &= \lambda Iv - Tv \\ &= (\lambda I - T)v \end{align*} where the identity matrix provides a multiplicative identity of some sorts? I understand that $I \in M_{n \times n}(\mathbb{F})$, so I am wondering how it can be the identity for $v \in M_{n \times 1}(\mathbb{F})$?
The reason I ask is that I am proving Cayley-Hamilton for a diagonal matrix, and I have come upon the following:
\begin{align*} \chi(t) &= det(D-tI) \\ &= \prod_{i=1}^{n}d_{ii}-t \\ &= (d_{11} - t)(d_{22} - t) \cdots (d_{nn} - t) \end{align*}
Consider \begin{align*} \chi([D]) &= (d_{11}I - D)(d_{22}I - D) \cdots (d_{nn}I - D) \end{align*}
Where does the $I$ come from?
The underlying question is really this:
I understand that $I \in M_{n \times n}(\mathbb{F})$, so I am wondering how it can be the identity for $v \in M_{n \times 1}(\mathbb{F})$?