This is a problem from Quarteroni, Sacco, and Saleri's Numerical Mathematics. Their question isn't any more specific than my phrasing of it. I don't see how to do it without any additional assumptions - for example, that they have the same generalized eigenspaces. I'm also not very experienced in linear algebra so I also couldn't think of counterexamples if the general case is false.
How to show that if two matrices have the same eigenvectors, then they commute?
572 Views Asked by Frank Lin https://math.techqa.club/user/frank-lin/detail AtThere are 2 best solutions below
This problem has been bugging me for a few days, I think I have a 'counterexample' in which two matrices $A,B$ share the same eigenspaces but do not commute.
Let $A=\begin{bmatrix} 1 & 0 & 1 \\ 0 & 2 & 0 \\ 0 & 0 & 1 \end{bmatrix}$. Let $\Pi = \begin{bmatrix} 1 & 0 & 0 \\ 0 & 0 & 1 \\ 0 & 1 & 0 \end{bmatrix}$ and note that $\Pi A \Pi^T = \begin{bmatrix} 1 & 1 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 2 \end{bmatrix}$, hence from the Jordan form we note that $A$ has two 1-dimensional eigenspaces, $\operatorname{sp} \{e_1\}, \operatorname{sp} \{e_2\}$.
Let $B=\begin{bmatrix} 1 & 0 & 0 \\ 0 & 2 & 1 \\ 0 & 0 & 2 \end{bmatrix}$. Since $B$ is already in Jordan form we note that $B$ has two 1-dimensional eigenspaces, $\operatorname{sp} \{e_1\}, \operatorname{sp} \{e_2\}$.
However, $AB-BA = \begin{bmatrix} 0 & 0 & 1 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \end{bmatrix}$.
Matrices will commute when operating on any linear combination of shared eigenvectors
if $A\vec v_i=a_i \vec v_i$ and if $B\vec v_i=b_i \vec v_i$
then an arbitrary linear combination of shared eigenvectors is $\sum_i \alpha_i \vec v_i$
$$AB(\sum_i \alpha_i \vec v_i)=(\sum_i a_i b_i\alpha_i \vec v_i)=BA(\sum_i \alpha_i \vec v_i) $$
if the vectors $v_i$ form a basis for $R^n$ then the matrices commute when operating on any vector in $R^n$ and so $AB = BA$