Let $T_1,T_2$ be two linear transformations from $\mathbb{R}^n$ to $\mathbb{R}^m$. Let $\{x_1,\cdots , x_n\}$ be a basis of $\mathbb{R}^n$. Suppose that $T_1x_i \neq 0$ for every $i=1,2,\cdots, n$ and that $x_i \bot \ker T_2$ for every $i=1,2,\cdots, n$. Which of the following is/are necessarily true?
- $T_1$ is invertible.
- $T_2$ is invertible.
- both $T_1,T_2$ are invertible.
- neither $T_1$ nor $T_2$ is invertible.
My Approch:
Given dimension of $\mathbb{R}=n$ and
$x_i\perp Ker(T_2)$
So, $\text{Ker}T_2=0$
Row space and null space are perpendicular to each other.
From Rank Nullity Theorem:
let T : V → W be a linear map. Then the rank of T is the dimension of the image of T and the nullity of T is the dimension of the kernel of T, so we have
$\text{dim}(\text{Im}(T))+ \text{dim}(\text{Ker}(T))=\text{dim}(V)$
Applying above result we get,
$\text{dim}(\text{Im}(T))+ 0=n$
Therefore, $T_2$ is one-one.
I could not solve this problem completely. what to do next?