Let $V,W$ be two vector spaces with scalars $K$, and $T : V \rightarrow W$ and $L : W \rightarrow W$ two linear transformations. Prove that $\def\Ker{\operatorname{Ker}}\Ker(L \circ T) = \Ker(T)$ if and only if $\def\Im{\operatorname{Im}}\Im(T) \cap \Ker(L) = {0}$
a) $\Ker(L \circ T) = \Ker(T) = \{\,\vec{v} \in V : T(\vec{v})=L(T(\vec{v})) = 0\,\}$
Then $\Ker(L) = 0$ (It feels right, but don't know how to explain this step)
$L(\Im(T))=0$, then $\Im(T) \subset \Ker(L) = \{0\}$
$\Im(T) \cap \Ker(L) = \{0\}$
b) $\Im(T) \cap\Ker(L) = \{0\}$
$L(\Im(T))=\{0\}$, then $\Im(T) \subset \Ker(L)$
but, $\Im(T) \cap \Ker(L) = {0}$, then
$\Ker(L) = 0$
$\Ker(L \circ T) = \Ker(T)$
This is the best I could come up with, and I myself don't like it. In my head, there's this idea, that $\Ker(L \circ T)$ is equal to $\Ker(L)+\Ker(T)$ (that's why at some point I do $\Ker(L) = \{0\}$) , but at the same time I know the vectors of $\Ker(L)$ and $\Ker(T)$ don't really have to be living in the same space, then, such addition doesn't make sense.
In both directions you make essential errors. For that see the answer of Yanko.
It is evident that $\mathsf{ker}T\subseteq\mathsf{ker}(L\circ T)$.
This on base of $T(x)=0\implies L(T(x))=0$.
So the following statements are equivalent:
This allows us to conclude: $$\mathsf{ker}(L\circ T)\neq\mathsf{ker}T\iff\mathsf{im}T\cap\mathsf{ker}L\neq\{0\}$$or equivalently:$$\mathsf{ker}(L\circ T)=\mathsf{ker}T\iff\mathsf{im}T\cap\mathsf{ker}L=\{0\}$$q.e.d.