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Proof of Bounded Linear and Conjugate-Linear Maps on a Dense Subspace of a Complex Hilbert Space Extend Uniquely

lemmalem:dense-subspace-extension-complex-hilbert-2026a
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· 9,083 chars · 16 deps · depth 14 Reason: V-A1: proof of the dense-subspace extension lemma.

A map on the dense subspace is extended by taking limits along approximating sequences; the bound makes the image sequences Cauchy, the limit is independent of the sequence, and algebraic identities, bounds and isometry pass to the limit. Uniqueness follows from sequential continuity, and the equality criterion from continuity of the inner product together with that uniqueness.

Proof

Each result cited below is universally quantified over the data in its own statement. Norms and inner products are those of HH or of KK, as the vectors require, and convergence in HH and KK refers to the norm metrics, as fixed in Complex Hilbert Spaces and Bounded Linear Maps: Standing Notation §spaces. By claim 2 of The Induced Norm is a Norm, and Induces a Metric the induced norm is a norm in the sense of Norm on a Complex Vector Space, and its positivity, absolute homogeneity and triangle inequality are used without further mention; in particular ∥u−v∥=∥v−u∥\lVert u-v\rVert=\lVert v-u\rVert and ∥u∥≤∥u−v∥+∥v∥\lVert u\rVert\le\lVert u-v\rVert+\lVert v\rVert, where u−v=u+(−1)vu-v=u+(-1)v.

Preliminaries. (P1) Let (uk)(u_k) and (vk)(v_k) converge to uu and vv in HH (or in KK), and let c∈Cc\in\mathbb{C}. Then (uk+vk)(u_k+v_k) converges to u+vu+v and (cuk)(cu_k) converges to cucu. Indeed ∥(uk+vk)−(u+v)∥≤∥uk−u∥+∥vk−v∥\lVert(u_k+v_k)-(u+v)\rVert\le\lVert u_k-u\rVert+\lVert v_k-v\rVert and ∥cuk−cu∥=∣c∣ ∥uk−u∥\lVert cu_k-cu\rVert=|c|\,\lVert u_k-u\rVert. Given ε>0\varepsilon>0 it therefore suffices to take kk so large that ∥uk−u∥\lVert u_k-u\rVert and ∥vk−v∥\lVert v_k-v\rVert are below both ε/2\varepsilon/2 and ε/(∣c∣+1)\varepsilon/(|c|+1).

(P2) Since DD is dense, cl⁡H(D)=H\operatorname{cl}_H(D)=H by Dense Subset of a Topological Space. So by Sequential Characterization of the Closure in a Metric Space every ξ∈H\xi\in H has an approximating sequence, that is, a sequence (ξk)(\xi_k) in DD converging to ξ\xi. For ξ∈D\xi\in D the constant sequence is one. Let (ξk)(\xi_k) and (ηk)(\eta_k) approximate ξ\xi and η\eta, and let c∈Cc\in\mathbb{C}. Then (ξk+ηk)(\xi_k+\eta_k) approximates ξ+η\xi+\eta and (cξk)(c\xi_k) approximates cξc\xi, by (P1) and because DD is a linear subspace.

(P3) Let M≥0M\ge0 be real, and let Q:H→KQ:H\to K satisfy Q(ξ−η)=Qξ−QηQ(\xi-\eta)=Q\xi-Q\eta and ∥Qξ∥≤M∥ξ∥\lVert Q\xi\rVert\le M\lVert\xi\rVert for all ξ,η∈H\xi,\eta\in H. Then ∥Qξ−Qη∥≤M∥ξ−η∥\lVert Q\xi-Q\eta\rVert\le M\lVert\xi-\eta\rVert. Given ε>0\varepsilon>0, the choice δ=ε/(M+1)\delta=\varepsilon/(M+1) therefore meets Continuous Map Between Metric Spaces, and QQ is continuous on HH. In particular every A∈L(H,K)A\in\mathcal{L}(H,K) is continuous on HH: take M=∥A∥opM=\lVert A\rVert_{\mathrm{op}}, which is a bound by Bounded Linear Maps between Complex Inner Product Spaces: the Least Bound, Operations, the Underlying Real Structure, Adjoints, Completeness and the Quadratic-Form Bound §least-bound.

A common construction for clauses 1 and 2. Let σ:C→C\sigma:\mathbb{C}\to\mathbb{C} be either the identity or complex conjugation. Let R:D→KR:D\to K satisfy R(ξ+η)=Rξ+RηR(\xi+\eta)=R\xi+R\eta, R(cξ)=σ(c)RξR(c\xi)=\sigma(c)R\xi and ∥Rξ∥≤C∥ξ∥\lVert R\xi\rVert\le C\lVert\xi\rVert for all ξ,η∈D\xi,\eta\in D and c∈Cc\in\mathbb{C}. In both cases σ(−1)=−1\sigma(-1)=-1 and ∣σ(c)∣=∣c∣|\sigma(c)|=|c|, by claims 1 and 3 of Properties of Complex Conjugation and Modulus. Hence R(ξ−η)=Rξ−RηR(\xi-\eta)=R\xi-R\eta for ξ,η∈D\xi,\eta\in D.

(A) Convergence. Let (ξk)(\xi_k) approximate ξ∈H\xi\in H. Given ε>0\varepsilon>0, choose NN with ∥ξk−ξ∥<ε/(2(C+1))\lVert\xi_k-\xi\rVert<\varepsilon/(2(C+1)) for k≥Nk\ge N. For k,l≥Nk,l\ge N,

∥Rξk−Rξl∥=∥R(ξk−ξl)∥≤C(∥ξk−ξ∥+∥ξ−ξl∥)≤Cε/(C+1)<ε.\lVert R\xi_k-R\xi_l\rVert=\lVert R(\xi_k-\xi_l)\rVert\le C\bigl(\lVert\xi_k-\xi\rVert+\lVert\xi-\xi_l\rVert\bigr)\le C\varepsilon/(C+1)<\varepsilon.

So (Rξk)(R\xi_k) is a Cauchy sequence in KK. It converges because KK is complete (Complex Hilbert Space).

(B) Independence of the sequence. Let (ξk)(\xi_k) and (ξk′)(\xi'_k) both approximate ξ\xi, with Rξk→yR\xi_k\to y and Rξk′→y′R\xi'_k\to y'. Since Rξk−Rξk′=R(ξk−ξk′)R\xi_k-R\xi'_k=R(\xi_k-\xi'_k), for every kk

∥y−y′∥≤∥y−Rξk∥+C∥ξk−ξ∥+C∥ξ−ξk′∥+∥Rξk′−y′∥.\lVert y-y'\rVert\le\lVert y-R\xi_k\rVert+C\lVert\xi_k-\xi\rVert+C\lVert\xi-\xi'_k\rVert+\lVert R\xi'_k-y'\rVert .

Given ε>0\varepsilon>0, each term on the right is below ε/4\varepsilon/4 for kk large. So 0≤∥y−y′∥<ε0\le\lVert y-y'\rVert<\varepsilon for every ε>0\varepsilon>0. Hence ∥y−y′∥=0\lVert y-y'\rVert=0 by Comparison of Real Numbers with Arbitrary Positive Slack §vanishing, and y=y′y=y'.

Define R~ξ\widetilde R\xi to be this common limit. This gives the following property (F): Rξk→R~ξR\xi_k\to\widetilde R\xi for every approximating sequence (ξk)(\xi_k) of ξ\xi. Moreover R~ξ=Rξ\widetilde R\xi=R\xi for ξ∈D\xi\in D: use the constant sequence, and recall that limits are unique by Uniqueness of Limits in a Metric Space.

(C) Algebra. Let (ξk)(\xi_k) and (ηk)(\eta_k) approximate ξ,η∈H\xi,\eta\in H, and let c∈Cc\in\mathbb{C}. By (P2) and (F), R(ξk+ηk)→R~(ξ+η)R(\xi_k+\eta_k)\to\widetilde R(\xi+\eta) and R(cξk)→R~(cξ)R(c\xi_k)\to\widetilde R(c\xi). By (P1) and (F), R(ξk+ηk)=Rξk+Rηk→R~ξ+R~ηR(\xi_k+\eta_k)=R\xi_k+R\eta_k\to\widetilde R\xi+\widetilde R\eta and R(cξk)=σ(c)Rξk→σ(c)R~ξR(c\xi_k)=\sigma(c)R\xi_k\to\sigma(c)\widetilde R\xi. By Uniqueness of Limits in a Metric Space, R~(ξ+η)=R~ξ+R~η\widetilde R(\xi+\eta)=\widetilde R\xi+\widetilde R\eta and R~(cξ)=σ(c)R~ξ\widetilde R(c\xi)=\sigma(c)\widetilde R\xi. In particular R~(ξ−η)=R~ξ−R~η\widetilde R(\xi-\eta)=\widetilde R\xi-\widetilde R\eta.

(D) Bounds. Let C′≥0C'\ge0 be real with ∥Rξ∥≤C′∥ξ∥\lVert R\xi\rVert\le C'\lVert\xi\rVert for every ξ∈D\xi\in D. Let ξ∈H\xi\in H, with approximating sequence (ξk)(\xi_k). For every kk,

∥R~ξ∥≤∥R~ξ−Rξk∥+C′∥ξk∥≤∥R~ξ−Rξk∥+C′∥ξk−ξ∥+C′∥ξ∥.\lVert\widetilde R\xi\rVert\le\lVert\widetilde R\xi-R\xi_k\rVert+C'\lVert\xi_k\rVert\le\lVert\widetilde R\xi-R\xi_k\rVert+C'\lVert\xi_k-\xi\rVert+C'\lVert\xi\rVert .

Given ε>0\varepsilon>0, the first two terms on the right are each below ε/2\varepsilon/2 for kk large. So ∥R~ξ∥≤C′∥ξ∥+ε\lVert\widetilde R\xi\rVert\le C'\lVert\xi\rVert+\varepsilon for every ε>0\varepsilon>0, and ∥R~ξ∥≤C′∥ξ∥\lVert\widetilde R\xi\rVert\le C'\lVert\xi\rVert by Comparison of Real Numbers with Arbitrary Positive Slack §slack-above. With C′=CC'=C this gives ∥R~ξ∥≤C∥ξ∥\lVert\widetilde R\xi\rVert\le C\lVert\xi\rVert on HH.

Suppose moreover that ∥Rξ∥=∥ξ∥\lVert R\xi\rVert=\lVert\xi\rVert on DD. Then C′=1C'=1 gives ∥R~ξ∥≤∥ξ∥\lVert\widetilde R\xi\rVert\le\lVert\xi\rVert. Conversely, for every kk,

∥ξ∥≤∥ξ−ξk∥+∥Rξk∥≤∥ξ−ξk∥+∥Rξk−R~ξ∥+∥R~ξ∥,\lVert\xi\rVert\le\lVert\xi-\xi_k\rVert+\lVert R\xi_k\rVert\le\lVert\xi-\xi_k\rVert+\lVert R\xi_k-\widetilde R\xi\rVert+\lVert\widetilde R\xi\rVert ,

which gives ∥ξ∥≤∥R~ξ∥\lVert\xi\rVert\le\lVert\widetilde R\xi\rVert in the same way. So ∥R~ξ∥=∥ξ∥\lVert\widetilde R\xi\rVert=\lVert\xi\rVert.

(E) Continuity and uniqueness. By (C), (D) and (P3), R~\widetilde R is continuous on HH. Let Q:H→KQ:H\to K be any map that is continuous on HH and satisfies Qξ=RξQ\xi=R\xi for ξ∈D\xi\in D. Let ξ∈H\xi\in H, with approximating sequence (ξk)(\xi_k). Then Continuity Between Metric Spaces is Equivalent to Sequential Continuity §sequential, applied with A=HA=H, gives Rξk=Qξk→QξR\xi_k=Q\xi_k\to Q\xi, while Rξk→R~ξR\xi_k\to\widetilde R\xi by (F). So Qξ=R~ξQ\xi=\widetilde R\xi by Uniqueness of Limits in a Metric Space, that is, Q=R~Q=\widetilde R.

Proof of clause 1 (Linear maps). Take σ\sigma to be the identity and R=TR=T; the hypotheses hold because TT is linear with bound CC, and set T~=R~\widetilde T=\widetilde R. By (C), T~\widetilde T is linear. By (D), CC is a bound for it, so T~∈L(H,K)\widetilde T\in\mathcal{L}(H,K) by Bounded Linear Maps between Complex Normed Spaces and the Operator Norm §bounded, and ∥T~∥op≤C\lVert\widetilde T\rVert_{\mathrm{op}}\le C by Bounded Linear Maps between Complex Inner Product Spaces: the Least Bound, Operations, the Underlying Real Structure, Adjoints, Completeness and the Quadratic-Form Bound §least-bound. By (F), T~ξ=Tξ\widetilde T\xi=T\xi for ξ∈D\xi\in D. By (D), T~\widetilde T is isometric when TT is. For uniqueness, let A∈L(H,K)A\in\mathcal{L}(H,K) agree with TT on DD. Then AA is continuous on HH by (P3), so A=T~A=\widetilde T by (E).

Proof of clause 2 (Conjugate-linear maps). Take σ\sigma to be complex conjugation and R=SR=S, and set S~=R~\widetilde S=\widetilde R. By (E), S~\widetilde S is continuous and is the only continuous map H→KH\to K that agrees with SS on DD; it does agree with SS on DD by (F). Additivity and S~(cξ)=c‾ S~ξ\widetilde S(c\xi)=\overline{c}\,\widetilde S\xi hold by (C). The bound, and the isometry when SS is isometric, hold by (D).

Proof of clause 3 (Equality of operators). First let ξ∈D\xi\in D and put w=Aξ−Bξw=A\xi-B\xi. For η∈E\eta\in E, conditions 2 and 3 of Complex Inner Product Space give ⟨η,w⟩=⟨η,Aξ⟩−⟨η,Bξ⟩=0\langle\eta,w\rangle=\langle\eta,A\xi\rangle-\langle\eta,B\xi\rangle=0. Since EE is dense in KK, Dense Subset of a Topological Space and Sequential Characterization of the Closure in a Metric Space give a sequence (ηk)(\eta_k) in EE converging to ww. Now w=(w−ηk)+ηkw=(w-\eta_k)+\eta_k, so claim 1 of Elementary Properties of a Complex Inner Product and claim 1 of The Induced Norm is a Norm, and Induces a Metric give, for every kk,

∣⟨w,w⟩∣=∣⟨w−ηk,w⟩+⟨ηk,w⟩∣=∣⟨w−ηk,w⟩∣≤∥w−ηk∥ ∥w∥.|\langle w,w\rangle|=|\langle w-\eta_k,w\rangle+\langle\eta_k,w\rangle|=|\langle w-\eta_k,w\rangle|\le\lVert w-\eta_k\rVert\,\lVert w\rVert .

Given ε>0\varepsilon>0, the right-hand side is below ε\varepsilon for kk large. Since ⟨w,w⟩\langle w,w\rangle is real and nonnegative, it equals ∣⟨w,w⟩∣|\langle w,w\rangle| by claim 8 of Properties of Complex Conjugation and Modulus. Hence 0≤⟨w,w⟩<ε0\le\langle w,w\rangle<\varepsilon for every ε>0\varepsilon>0, so ⟨w,w⟩=0\langle w,w\rangle=0 by Comparison of Real Numbers with Arbitrary Positive Slack §vanishing, and w=0w=0 by condition 4 of Complex Inner Product Space. Thus Aξ=BξA\xi=B\xi for every ξ∈D\xi\in D.

The restriction of AA to DD is a linear map D→KD\to K with bound ∥A∥op\lVert A\rVert_{\mathrm{op}} (Bounded Linear Maps between Complex Inner Product Spaces: the Least Bound, Operations, the Underlying Real Structure, Adjoints, Completeness and the Quadratic-Form Bound §least-bound). Both AA and BB are elements of L(H,K)\mathcal{L}(H,K) agreeing with it on DD, so A=BA=B by the uniqueness in clause 1. The same argument proves the final sentence of the clause, whose hypothesis is exactly the agreement Aξ=BξA\xi=B\xi on DD used here.

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