In Linear Algebra, many formulas related to the dimensions of vector spaces and subspaces are fundamental in the finite-dimensional case. For example, the Rank-Nullity Theorem states that for a linear map $ f: U \to V $, the dimension of the domain satisfies:
$$ \dim(U) = \dim(\ker(f)) + \dim(\operatorname{Im}(f)). $$
I know that this result, along with some others, extends to the infinite-dimensional case, but I would like to understand which other classical dimensional formulas remain valid for infinite-dimensional vector spaces, either from a purely algebraic perspective (based on Hamel bases and Zorn's lemma) or with additional topological structures (e.g., Banach or Hilbert spaces).
For instance:
- What happens to the relationship between the dimension of a subspace and its complement in the infinite-dimensional case?
- Can results about sums and intersections of subspaces (like $\dim(U + W) + \dim(U \cap W) = \dim(U) + \dim(W)$) be extended?
- Are there important limitations or subtleties when dealing with infinite dimensions?
I would highly appreciate detailed explanations, references, or counterexamples that highlight the differences between the finite and infinite-dimensional cases.
I believe such a list would be of great help to any student of Functional Analysis, allowing them to better understand the dimensional tools at their disposal, which are often taken for granted when studying this subject at university.
Thank you in advance!