Using the Theorem from "Linear Algebra" (-Friedberg, Insel, Spence 5th edition).
(Let $T$ be a linear operator on a finite-dimensional vector space $V$, and let $f(t)$ be the characteristic polynomial of $T$, then $f(T)=T_0$, the zero transformation. That is T "satisfies" its characteristic Equation
It looks like we're inserting some linear operator as input for the characteristic polynomial. This notation is used in some proofs in the text that I can find, but I haven't been able to find any explanation. The $T$ seems to be used interchangeably with the linear operator applied to a matrix fairly often, but I can't make sense of that either. The $f(T)$ has come up in one of my assigned problems and I can't move forward until I have some understanding of what this means.
If $f(x) = c_nx^n + c_{n-1}x^{n-1} + \cdots + c_1 x + c_0$ is a polynomial, then $$f(T) = c_nT^n + c_{n-1}T^{n-1} + \cdots + c_1 T + c_0I,$$ where $I$ is the identity operator. Here, $T^n$ is the linear operator $T$ composed with itself $n$-times. If you fix a basis, then $T$ has an associated matrix $A_T$. In this case $f(A_T)$ makes sense where $A_T^n$ is the $n$-th power of the matrix. Both of these perpectives agree.