Much as a topological group is a group object in Top, so a TVS is a vector space internal to … but not just any vector space in is a TVS! The reason is that, in a vector space internal to , only need be continuous in the second variable; in other words, this concept uses the discrete topology on . So only some vector spaces in are TVSes.
Thus many uniform notions (uniform continuity, completeness, etc.) carry over to the TVS context. Also from the uniformity (although it is also easy to prove directly), it follows that a TVS is completely regular, and also Hausdorff if and only if it is (see separation axiom). Most authors insist on the condition to rule out degenerate cases, but that prevents the category of TVSes from being topological over Vect. If the TVS is not Hausdorff, then the subset defined as the intersection of all neighborhoods of zero is a vector subspace of and the quotient vector space is Hausdorff, hence Tihonov (= completely regular Hausdorff).
The condition that scalar multiplication is continuous puts significant constraints on the topology of . For example, local compactness of implies, when is Hausdorff, that for any non-zero the function
maps homeomorphically onto its image. It follows quickly that cannot (for instance) be compact (unless it is the zero space and so has no non-zero ); a classical theorem along these lines is that can be locally compact Hausdorff if and only if is finite-dimensional. (In the non-Hausdorff case, the theorems are that is compact if and only if its topology is indiscrete and that is locally compact if and only if it is a finitary direct sum of indiscrete spaces.) On the other hand, a nice property of even infinite-dimensional TVSes is that they are path-connected.
More classical material should be added, particularly on locally convex spaces.
The theory of TVS can be understood as the quest to find the essence of many fundamental theorems of functional analysis of Hilbert spaces (or Banach spaces), namely to find the minimal set of assumptions that are needed for Hilbert space theorems to remain true. Examples of these are:
A central rôle in the whole theory plays duality, that is the study of locally convex spaces and their duals. A prominent example is the definition of certain concepts by duality in the theory of Schwartz distribution?s.
Topological vector spaces come in many flavours. The following chart provides a first overview (chart originally created and published by Greg Kuperberg on MathOverflow here, current version generated using Graphviz from lctvs dot source):
locally convex spaces: where the Hahn-Banach theorem works (assuming sufficient axioms)
bornological topological vector spaces: where bounded means continuous
Wikipedia already has many nice references.