If the characteristic and minimal polynomial of a linear transformation $ \ T: V \to V \ $ are given by $ \chi(\lambda) =(x-\lambda)^4 \ , \ m(\lambda)=(x-\lambda)^4 $ ,where $ \ \lambda \ $ is an eigenvalue , then find the dimension of the eigenspace $ \ E(\lambda) \ $ i.e., $ \ dim \ E(\lambda) \ $ and compute the Jordan matrix $ \ \mathcal{M}(T) \ $.
Answer:
Here $ \ V \ $ is a vector space over $ \ \mathbb{C} \ $.
$ \chi(\lambda) =(x-\lambda)^4 \ , \\ m(\lambda)=(x-\lambda)^4, $
Since characteristics polynomial of $ \ T \ $ is $ \ (x-\lambda)^4 \ $ , we have
$dim \ V=4 \ $
algebraic multiplicity of $ \ \lambda \ $ is =$4 \ $
But geometric multiplicity of $ \lambda \ \ is=1 \ $
Thus $ \ dim \ E(\lambda) =1 $
what would be the jordan matrix?
Am I right so far?
$\chi(\lambda) =(x-\lambda)^4$ implies that $\dim V = 4$ and $\sigma(T) = \{4\}$.
$m(\lambda)=(x-\lambda)^4$ implies that the size of the largest block with the eigenvalue $\lambda$ is precisely $4$.
Since the sum of the sizes of all blocks has to be $\dim V = 4$, and we already have a block of size $4$, we conclude that the Jordan form consists only of that block:
$$\begin{bmatrix}\lambda&1&0&0\\0&\lambda&1&0\\0&0&\lambda&1\\0&0&0&\lambda\end{bmatrix}$$
The dimension of the eigenspace $\ker (T - \lambda I)$ is precisely the number of blocks with the eigenvalue $\lambda$. In this case it is $\dim\ker (T - \lambda I) = 1$ because we only have one $\lambda$-block.