Eigenvalues of adjoint operator I know that if an operator $T$ in $L(V)$ (where $V$ is a finite dimentional vector space over the complex field) is normal, then for every vector $v$ in $V$ , $Tv= \lambda v$ iff $T^*v= \lambda^*v$ (where $\lambda^*$ is the complex conjugate of $\lambda$). Why isn't this correct for every operator?
I think that you can take the eigenspace of $\lambda$ (regarding $T$) and this is a $T$-invariant subspace of $V$. So this is also a $T^*$ -invariant subspace and there you get that for every $v,w$ in $\mathrm{eigenspace}(\lambda)$ $\langle v,\lambda^*w\rangle=\langle \lambda v,w\rangle=\langle Tv,w\rangle=\langle v,T^*w\rangle$ and therefor $T^*w=\lambda^*w$. What is my mistake?
 A: Your mistake is assuming that if $\lambda$ is eigenvalue of $T$ with eigenvector $v$, then $\overline\lambda$ is eigenvalue of $T^*$ (this is true) also with eigenvector $v$ (this is not true in general; it is when $T$ is normal). 
Using Norbert's example, $1$ is eigenvalue of $T$ with eigenvector $v=\begin{bmatrix}1\\0\end{bmatrix}$. But $v$ is not an eigenvector of $T^*$:
$$
T^*v=\begin{bmatrix}1&0\\1&1\end{bmatrix}\,\begin{bmatrix}1\\0\end{bmatrix}
=\begin{bmatrix}1\\1\end{bmatrix}
$$
Still, of course, $1$ is indeed an eigenvalue of $T^*$, but with eigenvector $\begin{bmatrix}0\\1\end{bmatrix}$.
A: The problem of your reasoning is that $\langle v,\lambda^*w\rangle=\langle \lambda v,w\rangle=\langle Tv,w\rangle=\langle v,T^*w\rangle$ does not imply $T^*w=\lambda^*w$. For this to be true, you must have $\forall v \in V, \langle \lambda v,w \rangle = \langle v,T^*w \rangle$. However, this equality only holds for eigenvector one specific eigenvector of $T$ under this circumstance.
A: For the proof you need:
(1) if $T$ is normal than $kerT = kerT^*$
Take any $v\in$$V$ than because $T$ is normal you get $$<T(v)|T(v)> = <T^*(v)|T^*(v)>$$ 
So every $v\in$ker$T$ iff also $\in$$kerT^*$
(2) if T is normal than $T-$$\lambda$$Id$ is normal. (this is easy to check).
Now if $v$ is an eigenvector of $T$ with eigenvalue $\lambda$, than $v$$\in$$ker(T-$$\lambda$$Id)$. 
Now from (2) we get that $T-$$\lambda$$Id$ is normal, so from (1) we get that $ker(T-$$\lambda$$Id)$ = $ker(T^*-$$\overline\lambda$$Id)$ so than we can say that $v$ is an eigenvector of $T^*$ with eigenvalue of $\overline\lambda$.    
