TheoremBase

The join is the continuous image of a closed and bounded parameter set in R(2n+1)R^(2n+1); it is bounded by the triangle inequality and closed by an extreme-value argument, hence compact by Heine-Borel.

Proof

We realise J(A,B)J(A,B) as the image of a compact parameter set in R2n+1\mathbb{R}^{2n+1} under a continuous function. Throughout, a subset of Rq\mathbb{R}^{q} is compact if and only if it is closed and bounded, by Convex Sets in Rn\mathbb{R}^n: Standing Notation (v).

Coordinates. Let ι\iota denote the concatenation functions Rn×Rn→R2n\mathbb{R}^{n}\times\mathbb{R}^{n}\to\mathbb{R}^{2n} and R2n×R1→R2n+1\mathbb{R}^{2n}\times\mathbb{R}^{1}\to\mathbb{R}^{2n+1} 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 w∈R2n+1w\in\mathbb{R}^{2n+1} can be written uniquely as

w=ι(ι(α(w),β(w)),s^)with α(w),β(w)∈Rn, s^∈R1;w=\iota\bigl(\iota(\alpha(w),\beta(w)),\hat{s}\bigr)\qquad\text{with }\alpha(w),\beta(w)\in\mathbb{R}^{n},\ \hat{s}\in\mathbb{R}^{1};

let σ(w)∈R\sigma(w)\in\mathbb{R} be the coordinate of s^\hat{s}. For w,w′∈R2n+1w,w'\in\mathbb{R}^{2n+1}, Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space (vi) and Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (iv) give

dE(α(w),α(w′))≤dE(w,w′),dE(β(w),β(w′))≤dE(w,w′),∣σ(w)−σ(w′)∣≤dE(w,w′).d_{E}(\alpha(w),\alpha(w'))\le d_{E}(w,w'),\qquad d_{E}(\beta(w),\beta(w'))\le d_{E}(w,w'),\qquad|\sigma(w)-\sigma(w')|\le d_{E}(w,w').

Hence, given ε>0\varepsilon>0, the choice δ=ε\delta=\varepsilon meets the requirement of Continuous Map Between Metric Spaces (i) at every point, and the functions α\alpha, β\beta and σ\sigma are continuous on every subset of R2n+1\mathbb{R}^{2n+1}.

The parameter set. Let

P={w∈R2n+1: α(w)∈A, β(w)∈B, 0≤σ(w)≤1}.P=\{w\in\mathbb{R}^{2n+1}:\ \alpha(w)\in A,\ \beta(w)\in B,\ 0\le\sigma(w)\le1\}.

If AA or BB is empty, then P=∅P=\emptyset and J(A,B)=∅J(A,B)=\emptyset, which is compact. Suppose from now on that AA and BB are both nonempty. Since AA and BB are compact, they are closed and bounded. Fix a0∈Aa_{0}\in A and b0∈Bb_{0}\in B, take bounds MAM_{A} and MBM_{B} for the distances within AA and within BB from Bounded Subset of a Metric Space (i), and let R=max⁡(∥a0∥+MA,∥b0∥+MB)≥0R=\max(\lVert a_{0}\rVert+M_{A},\lVert b_{0}\rVert+M_{B})\ge0; then ∥a∥≤R\lVert a\rVert\le R for all a∈Aa\in A and ∥b∥≤R\lVert b\rVert\le R for all b∈Bb\in B by Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (vi). For w∈Pw\in P, Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space (v) gives ∥w∥2=∥α(w)∥2+∥β(w)∥2+σ(w)2≤2R2+1≤(2R+1)2\lVert w\rVert^{2}=\lVert\alpha(w)\rVert^{2}+\lVert\beta(w)\rVert^{2}+\sigma(w)^{2}\le2R^{2}+1\le(2R+1)^{2}, so for w,w′∈Pw,w'\in P, by Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (ii), Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (vi) and Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (v),

dE(w,w′)=∥w−w′∥≤∥w∥+∥w′∥≤2(2R+1),d_{E}(w,w')=\lVert w-w'\rVert\le\lVert w\rVert+\lVert w'\rVert\le2(2R+1),

and PP is bounded. To see that PP is closed, let w∉Pw\notin P; we find r>0r>0 with B(w,r)∩P=∅B(w,r)\cap P=\emptyset. If α(w)∉A\alpha(w)\notin A, then, since Rn∖A\mathbb{R}^{n}\setminus A is open (Closed Subset of a Topological Space (i)), there is r>0r>0 with B(α(w),r)∩A=∅B(\alpha(w),r)\cap A=\emptyset (Open Subset of a Metric Space (i)), and the first inequality above shows α(w′)∈B(α(w),r)\alpha(w')\in B(\alpha(w),r), so w′∉Pw'\notin P, for every w′∈B(w,r)w'\in B(w,r). The case β(w)∉B\beta(w)\notin B is the same. If σ(w)<0\sigma(w)<0, take r=−σ(w)r=-\sigma(w); if σ(w)>1\sigma(w)>1, take r=σ(w)−1r=\sigma(w)-1; in both cases the third inequality keeps σ(w′)\sigma(w') outside [0,1][0,1] for w′∈B(w,r)w'\in B(w,r). So R2n+1∖P\mathbb{R}^{2n+1}\setminus P is open, PP is closed, and PP is compact.

The parametrization. Define Φ:P→Rn\Phi:P\to\mathbb{R}^{n} by

Φ(w)=(1−σ(w)) α(w)+σ(w) β(w).\Phi(w)=(1-\sigma(w))\,\alpha(w)+\sigma(w)\,\beta(w).

The function w↦1−σ(w)w\mapsto1-\sigma(w) is continuous on PP by the continuity of σ\sigma and the continuity of constants and of constant multiples and sums of functions into R\mathbb{R}, part of the background of Metric Spaces: Balls, the Metric Topology, and the Real and Complex Numbers as Metric Spaces (vi); so Φ\Phi is continuous on PP 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 a∈Aa\in A, b∈Bb\in B and s∈[0,1]s\in[0,1], let s^∈R1\hat{s}\in\mathbb{R}^{1} be the point with coordinate ss; then w=ι(ι(a,b),s^)w=\iota(\iota(a,b),\hat{s}) lies in PP and Φ(w)=(1−s)a+sb\Phi(w)=(1-s)a+sb, so J(A,B)⊆Φ(P)J(A,B)\subseteq\Phi(P). Conversely, for w∈Pw\in P we have α(w)∈A\alpha(w)\in A, β(w)∈B\beta(w)\in B and σ(w)∈[0,1]\sigma(w)\in[0,1], so Φ(w)∈J(A,B)\Phi(w)\in J(A,B). Hence Φ(P)=J(A,B)\Phi(P)=J(A,B).

Finally, The Continuous Image of a Compact Subset of a Metric Space is Compact (i), applied to the metric spaces (R2n+1,dE)(\mathbb{R}^{2n+1},d_{E}) and (Rn,dE)(\mathbb{R}^{n},d_{E}), the compact set PP and the continuous function Φ\Phi, shows that J(A,B)=Φ(P)J(A,B)=\Phi(P) is compact. This proves (i).

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