The join is the continuous image of a closed and bounded parameter set in ; it is bounded by the triangle inequality and closed by an extreme-value argument, hence compact by Heine-Borel.
We realise as the image of a compact parameter set in under a continuous function. Throughout, a subset of is compact if and only if it is closed and bounded, by Convex Sets in : Standing Notation (v).
Coordinates. Let denote the concatenation functions and of Euclidean Space and Real Matrices: Standing Notation (viii). They are bijections by Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space (iii), so every can be written uniquely as
let be the coordinate of . For , Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space (vi) and Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (iv) give
Hence, given , the choice meets the requirement of Continuous Map Between Metric Spaces (i) at every point, and the functions , and are continuous on every subset of .
The parameter set. Let
If or is empty, then and , which is compact. Suppose from now on that and are both nonempty. Since and are compact, they are closed and bounded. Fix and , take bounds and for the distances within and within from Bounded Subset of a Metric Space (i), and let ; then for all and for all by Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (vi). For , Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space (v) gives , so for , by Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (ii), Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (vi) and Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (v),
and is bounded. To see that is closed, let ; we find with . If , then, since is open (Closed Subset of a Topological Space (i)), there is with (Open Subset of a Metric Space (i)), and the first inequality above shows , so , for every . The case is the same. If , take ; if , take ; in both cases the third inequality keeps outside for . So is open, is closed, and is compact.
The parametrization. Define by
The function is continuous on by the continuity of and the continuity of constants and of constant multiples and sums of functions into , part of the background of Metric Spaces: Balls, the Metric Topology, and the Real and Complex Numbers as Metric Spaces (vi); so is continuous on by Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (iv) and Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (v). For , and , let be the point with coordinate ; then lies in and , so . Conversely, for we have , and , so . Hence .
Finally, The Continuous Image of a Compact Subset of a Metric Space is Compact (i), applied to the metric spaces and , the compact set and the continuous function , shows that is compact. This proves (i).
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