Let $\mathbb E$ be a euclidean space.
$dim (\mathbb E) = 5$.
For every $a \in \mathbb E$ define a linear transformation $T:\mathbb E \to \mathbb R$ by the standart inner product $T_a(x)=<a,x>$.
For every $a,b\in \mathbb E$ find $dim(ker(T_a) \bigcap ker(T_b))$.
Im having a hard time, obviously, visualizing the subspace $ker(T_a) \bigcap ker(T_b)$...
Since T is a linear transformation it's easy to see that: $$dim Im(T)+dim ker(T)=dim (E) \implies dim ker(T)=4$$$$dim(ker(T_a)+ker(T_b))=dimker(T_a)+dimker(T_b)-dim(ker(T_a) \bigcap ker(T_b)$$$$ker(T_a) \bigcap ker(T_b) = 8-dim(ker(T_a)+ker(T_b))$$
How do I proceed? How do I know what is $dim(ker(T_a)+ker(T_b))$?
Consider the problem first in the "more geometric" setting, working in $\mathbb{R}^3$. If $a \neq 0$ then $\ker(T_a)$ is a plane passing through the origin whose normal vector is $a$. If $a = 0$ then $\ker(T_a) = \mathbb{R}^3$. Given $a, b \in \mathbb{R}^3$ you have two possibilities:
Similarly, working in $\mathbb{R}^5$, if $0 \neq a \in \mathbb{R}^5$ then $\ker(T_a)$ will be a hyperplane (a four dimensional subspace) whose normal vector is $a$. To see this formally, note that $T_a$ is onto and so by the rank-nullity theorem, the dimension of $\ker(T_a)$ is four. If $a = 0$ then clearly $\ker(T_a) = \mathbb{R}^5$. Again, you have three options: