A metric space is a compact space if every open cover , with all open in , has a finite subcover: finitely many indices cover .
It is a sequentially compact space if every sequence in has a convergent subsequence whose limit of a sequence belongs to . In formulas,
A finite subcover is the defining test for compactness; a convergent subsequence is the defining test for sequential compactness.
Let be any sequence in the compact metric space . There must be an such that every open ball about contains for infinitely many indices . Otherwise, for each choose a ball containing only finitely many terms, counted by indices. These balls are an open cover. A finite subcover would imply that only finitely many indices occur anywhere in , a contradiction.
Now choose successively with ; infinitely many available indices make this possible. Then , so is a convergent subsequence. Thus
The proof counts indices rather than distinct points, so it also handles a value repeated infinitely often.
The source prints in the zero case. Since the coordinates are indexed by positive integers, that overlaps its case and does not define a sequence. We use the intended coordinate vectors, with for and for .
Every belongs to , because its entries are bounded by one and its coordinate sequence eventually vanishes. If , their supremum norm distance is
Indeed, the difference is at coordinate , at coordinate , and zero elsewhere. No subsequence is a Cauchy sequence, since arbitrarily late distinct terms remain distance one apart. Every convergent sequence is a Cauchy sequence, so no convergent subsequence exists. Therefore .
Yes. Let be any sequence in , where . At coordinate , the values lie in the compact interval . By part (a)(ii) we can successively extract a convergent subsequence for coordinate one, a further one for coordinate two, and so on. Taking the diagonal indices gives a single subsequence for which
The closed interval bound passes to the limit, so . Hence and .
Coordinate convergence alone would not imply supremum norm convergence. Here the common tail bound supplies the missing estimate. Given , choose with . For ,
For the finitely many , coordinate convergence makes all differences less than once is large. Therefore , and
This is an instance of compactness from uniformly vanishing sequence tails. The common bound is exactly what the coordinate vectors in part (i) lack.
By the permitted sequential compactness of the product metric space , the sequence of pairs has a convergent subsequence, and hence a Cauchy subsequence. Choose two of its indices sufficiently late that
The distance-increasing assumption iterates: . With , use , and then , to obtain
Both summands are nonnegative, so
The use of paired iterates ensures that the same positive return time works for both points.
Choose as in part (i). Since distances between iterates are nondecreasing, the triangle inequality gives
Letting and combining with the given reverse bound proves that is an isometry:
For surjectivity, fix and use part (i) with and to choose satisfying . Put , interpreting as the identity. By sequential compactness, a convergent subsequence satisfies . The assumed continuity yields
Thus every has a preimage, and . If is empty, both conclusions hold vacuously. This proves the distance-increasing self-map theorem for sequentially compact metric spaces.

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