For topological spaces , the compact-open topology on has subbasic sets
where is compact and is open. Finite intersections of such conditions describe neighborhoods of a continuous map. This definition does not require a metric on either space.
For a metric target and continuous functions, it is the topology of uniform convergence on compact subsets. In the scalar case, the compact seminorms describe it. If is a locally compact space and a Hausdorff space, this compact control also agrees with locally uniform convergence, because each point has a compact neighborhood.
On , control on every interval is sufficient. It permits functions such as translated compactly supported bumps to converge to zero on every compact set while retaining the same global supremum norm. The compact-open topology records local approximation rather than a bound over an unbounded domain all at once.
Let have nested compact sets covering it, with . Then every point has a neighborhood in some , and every compact subset is contained in one . For continuous scalar functions, take positive weights with and define
The bounded metric transform makes the sum finite and gives its triangle inequality; the covering property gives definiteness. On , one may use and .
If , each fixed compact supremum norm tends to zero, since its summand is bounded by the whole metric. Conversely, control finitely many compact supremum norms and then the summable weight tail. This proves that realizes locally uniform convergence under the stated exhaustion conditions.
Merely writing a space as a union of compact sets is insufficient. Enumerate the points of the compact space and take finite initial subsets as . The resulting metric detects pointwise control on those finite sets, not uniform control on the entire compact space. The neighborhood and compact-containment conditions explain the difference.

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