Let $V$ be a vector space and $f:V\rightarrow V$ a linear map. Let $λ_1,...,λ_κ$ be distinct eigenvalues of $f$. Then these properties hold:
- Let $υ_1+υ_2+...+υ_κ=0$, where $υ_i\in V_f(λ_i),i=1,...,k$ , then $υ_i=0$
- (...)
Proof of 1. : By applying $f$ we get : $λ_1υ_1+λ_2υ_2+...+λ_κυ_κ=f(υ_1)+...+f(υ_κ)=f(υ_1+...+υ_κ)=0$ (so far so good!)
By repeating the above result, we get : $λ_1^mυ_1+λ_2^mυ_2+...+λ_κ^mυ_κ=0, \forall m\in \Bbb N$ and thus: $φ(λ_1)υ_1+...+φ(λ_κ)υ_κ=0, \forall φ(x) \in \Bbb F[x]$
(...)
It is not very clear to me how these two last results hold.
So far you have $\lambda_1v_1+\lambda_2v_2+\dots+\lambda_kv_k=0$.
Repeating the technique one more time, you will get \begin{align*} 0&=f(0)\\ &=f(\lambda_1v_1+\lambda_2v_2+\dots+\lambda_kv_k)\\ &=\lambda_1^2v_1+\lambda_2^2v_2+\dots+\lambda_k^2v_k \end{align*}
Repeating it $m$ times will give you $\lambda_1^mv_1+\dots+\lambda_k^mv_k=0$.
For the second statement, if $\varphi(x)\in F[x]$, then $\varphi(x)=\sum_{i=1}^ma_ix^i$, where $a_i\in F$, $m\in\mathbb{Z}$.
So $\varphi(\lambda_k)=\sum_{i=1}^ma_i\lambda_k^i$.
Hence, \begin{align*} \varphi(\lambda_1)v_1+\dots+\varphi(\lambda_k)v_k&=\sum_{i=1}^ma_i\lambda_1^iv_1+\dots+\sum_{i=1}^ma_i\lambda_k^iv_k\\ &=a_1(\lambda_1v_1+\dots+\lambda_kv_k)+\\ &\dots a_m(\lambda_1^mv_1+\dots+\lambda_k^mv_k)\\ &=0+0+\dots+0\\ &=0 \end{align*}