Image of Transpose of Linear Transformation is Annihilator of Kernel

Theorem
Let $G$ and $H$ be $n$-dimensional vector spaces over a field.

Let $\map \LL {G, H}$ be the set of all linear transformations from $G$ to $H$.

Let $u \in \map \LL {G, H}$.

Let $u^t$ be the transpose of $u$.

Then:
 * The image of $u^t$ is the annihilator of $\map \ker u$.

where $\map \ker u$ denotes the kernel of $u$.

Proof
Let $x \in \map \ker u$.

Let $H^*$ be the algebraic dual of $H$.

Let $\innerprod x t$ be the evaluation linear transformation.

Then:
 * $\forall y \in H^*: \innerprod x {\map {u^t} y} = \innerprod {\map u x} y = \innerprod 0 y = 0$

So:
 * $\map {u^t} {H^*} \subseteq \paren {\map \ker u}^\circ$

From Rank Plus Nullity Theorem and Results Concerning Annihilator of Vector Subspace:

Hence:
 * $\map {u^t} {H^*} = \paren {\map \ker u}^\circ$