Given a topological space $X$, the following are equivalent:
- Given points $x$ and $y$, there exist neighborhoods $A$ and $B$ of $x$ and $y$ respectively satisfying $A \cap B = \emptyset$.
- Every proper filter converges to at most one point.
- The diagonal set $\{(x,x) : x \in X\}$ is a closed subset of $X \times X$.
We learn as undergraduates that a topological space with any, and hence all, of these properties is said to be Hausdorff.
Now suppose we're trying to generalize from topological spaces to convergence spaces. The standard definition of being Hausdorff in this context is (2). Presumably, (1) is just the wrong definition in this context, and probably not worth thinking about too much. But (3) still looks interesting enough; for example, it's equivalent to being able to think of equality as a function $X \times X \rightarrow \Omega$, where $\Omega$ is the Sierpinski space.
Question. Is there a relationship between conditions (2) and (3) at the level of convergence spaces?
These statements are still equivalent. We can apply the same idea than with topological spaces. Convergence of (proper) filters in a product space is component-wise. So a filter converges to two different points if and only if its image by the diagonal map $X \to X \times X$ converges to a point outside of the diagonal (that is, the diagonal is not closed).
We can do the same things with nets instead.