When we face an analytic problem, It is generally possible to represent it on the Cartesian plane, solve it, and than convert the solution back to the related algebric solution.
I guess that we can do this because there exists an isomorphism between real numbers and the points on a plane. Does a general proof exist for this fact? That is to say, is it always safe to solve a problem in an isomorphic space, and than claim that this represents the solution also in the original space?
EDIT
I'll state the question for my specific case, hoping to be more clear. If I represent an analytical problem on the Cartesian plane (converting the numbers to points on the plane, as usual) and then solve it graphically, how can I be sure that this solution holds true when I convert it back to the analytical?
The concept of vector space isomorphism (for finite dimensional vector spaces) is purely dependent on their dimension. So if you are considering the vector space $\mathbb R$ over the field $\mathbb R$, and the vector space $\mathbb R^2$ over the field $\mathbb R$, then they are not isomorphic: the first one has dimension equal to $1$ and the second has dimension equal to $2$.
I am also not quite sure what you are trying to ask. If it helps you can think of real line in $\mathbb R^2$ as the elements of the type $(x,0)$, which would be a subspace of $\mathbb R^2$, but they still wouldn't be isomorphic.