$T: V\to V$ a linear transformation with an eigenvalue $\lambda$. V is a finite-dimensional space. Prove that $T$ can be written as $T=S \oplus R $ such that $\lambda$ is the only eigenvalue of $S$ and is not an eigenvalue of $R$.
2026-03-26 11:01:36.1774522896
On
Prove that $T$ can be written as $T=S \oplus R $ such that $\lambda$ is the only eigenvalue of $S$ and is not an eigenvalue of $R$
75 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
2
There are 2 best solutions below
1
On
You don't need to completely decompose $T$ for a similar argument to work. Let $S$ be the eigenspace of $\lambda$. Threre is a natural way to find $R$: Take a basis of $S$ and complete it to be a basis for the entire space. $R$ can be defined as the span of the vectors in the completion (the vectors that were not in the basis of $S$).
Let me sketch the proof for the case $\lambda = 0$. Let $T \colon V \rightarrow V$ be a linear operator on a finite dimensional vector space. Define the sequence of subspaces $W_i = \ker(T^i), V_i = \operatorname{im}(T^i)$ and note that $$\{ 0_V \} = W_0 \subseteq W_1 \subseteq \dots, \\ V = V_0 \supseteq V_1 \supseteq \dots $$
Since $V$ is finite dimensional, the sequence $\{ W_i \}$ must stabilize at some index so let $i$ be the minimal index such that $W_i = W_{i+1}$. Then:
To show the result for general $\lambda$, consider $T - \lambda I$.