$A = \left(\begin{array}{cc}2 & -1 \\0 & 2\end{array}\right)$
$B = \left(\begin{array}{cc}\lambda & 0 \\1 & \lambda\end{array}\right)$.
I know that the $\lambda = 2$. And $r(1,0)^t$, where $r \in $ Reals are the eigenvectors.
How do you show, via calculation, that $A$ is similar to $B$?
Note: If two matrices are similar, then there is a third matrix $C$, such that $B = C^{-1}AC$.
Finding the transpose of an upper triangular matrix will render it similar to a lower triangular matrix, as introduced by British mathematician Arthur Cayley.
Let $\mathbf U$ be an upper triangular matrix:
\begin{bmatrix} a_{11} & a_{12} & a_{13} & \cdots & a_{1,n-1} & a_{1n} \\ 0 & a_{22} & a_{23} & \cdots & a_{2,n-1} & a_{2n} \\ 0 & 0 & a_{33} & \cdots & a_{3,n-1} & a_{3n} \\ \vdots & \vdots & \vdots & \ddots & \vdots & \vdots \\ 0 & 0 & 0 & \cdots & a_{n-1,n-1} & a_{n-1,n} \\ 0 & 0 & 0 & \cdots & 0 & a_{nn} \\ \end{bmatrix}
By definition:
$$\forall a_{ij} \in \mathbf U: i > j \implies a_{ij} = 0$$
We can let $\mathbf{U}^T$ be the transpose of $\mathbf{U}$, so $\mathbf U^\intercal = \left[{b}\right]_n: \forall i \in \left[{1 \,.\,.\, n}\right], j \in \left[{1 \,.\,.\, n}\right]: b_{i j} = a_{j i}$
From this, we get:
$$\forall b_{ji} \in \mathbf U^\intercal: i > j \implies b_{ji} = 0$$
Then, exchange $i$ and $j$ in the notation above to get:
$$\forall b_{ij} \in \mathbf U^\intercal: i < j \implies b_{ij} = 0$$
Use this theorem to show how matrix $A$ is similar to matrix $B$.