Convergence to a point means
The limit must belong to the metric space itself. The definition is equivalent to as a real sequence.
A metric space is sequentially compact if every sequence in it has a subsequence converging to a point of the same space. The sequence lies in , but every subsequence converges in to zero. Uniqueness of limits excludes an alternative limit inside , so the open interval is not sequentially compact.
For the product, take any sequence . sequential compactness of gives a subsequence . Apply sequential compactness of to the corresponding sequence to obtain a further subsequence . Passing to a subsequence preserves the convergence of the first coordinate, and therefore
Thus is sequentially compact with the stated sum metric. Taking the second coordinate subsequence inside the first one is essential; two unrelated subsequences would not suffice.
The subspace topology is . For every open ,
The inverse-image definition of continuity therefore gives the inclusion is continuous from to .
If the inclusion is continuous from , then belongs to for every . These intersections are precisely all members of , so
Thus the subspace topology is the coarsest topology on making the inclusion continuous.
Every open set of the subspace is for some . Since takes values in ,
The right side is open in by the assumed continuity of the composition. Hence preimages of every -open set are open, proving is continuous.
Choose and let be the identity set map . The composition is the inclusion and is continuous by part (i). The hypothesized universal implication therefore says that the identity map
is continuous. Its preimage of a set is itself, so every such lies in . Therefore
Combining this with part (ii), when both properties hold, characterizes the subspace topology uniquely.

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