# Topologies and Continuity in Operator Theory

I am studying Operator Theory right now, but I have not had much exposure to topology. I am trying to pick it up along the way, and I am wondering about a probably simple point:

What is the relationship between a topology and continuity?

I think a good answer to this question should help, but I am also unclear about the following point:

It seems to me that convergence in a uniform operator topology is analogous to uniform convergence of a function, convergence in strong operator topology is similar to pointwise convergence of a function. What would be a good analogy for convergence in a weak operator topology? I am still trying to build some intuition for weak operator topology, so any help would be greatly appreciated.

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Advice: read the first chapter of Pedersen's Analysis NOW (and while you're at it, read the rest too)! It gives a clear and rapid introduction to topology for functional analysis. – wildildildlife Apr 16 '11 at 20:43

Continuity is a property that a function between topological spaces may or may not satisfy, and it would make no sense without fixed topologies on the spaces under consideration. If $X$ and $Y$ are topological spaces (implicitly meaning that there is a fixed topology on each under consideration), then a function $f:X\to Y$ is continuous if (by definition) for each open set $U\subseteq Y$, the set $f^{-1}(U)=\{x\in X: f(x)\in U\}$ is open in $X$. Continuity can also be defined in terms of nets or filters, and in the first countable case in terms of sequences. A good textbook on general topology, such as those by Munkres or Kelley, is probably the best way to learn more about topology and continuous functions in general.
In $B(H)$, the space of bounded linear operators on a Hilbert space $H$, you are considering 3 topologies: norm (uniform), SOT (strong operator topology), and WOT (weak operator topology). The norm topology is the topology of uniform convergence on bounded sets. The SOT is the topology of pointwise convergence in the norm of $H$. The WOT is the topology of pointwise weak convergence in $H$. A net $(x_i)_i$ in $H$ converges weakly to $x\in H$ if and only if for each $y\in H$, $(\langle x_i,y\rangle)_i$ converges to $\langle x,y\rangle$. A net $(T_i)_i$ in $B(H)$ converges in the WOT to $T\in B(H)$ if and only if for each $x\in H$, the net $(T_ix)_i$ converges weakly to $Tx$.
The norm topology is a little easier to work with in some ways. With this topology $B(H)$ is a metric space, so in particular it is first countable. With either the SOT or WOT, $B(H)$ is a locally convex topological vector space, defined in terms of families of seminorms. Therefore you may also benefit from studying locally convex spaces in general, for example using a good textbook on functional analysis like Rudin's Functional analysis or J.B. Conway's A course in functional analysis.