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Proof of The Hilbert Completion is a Real Hilbert Space Containing a Dense Isometric Image, and Bounded Linear Maps Extend to It

theoremthm:hilbert-completion-semi-inner-product-2026a
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· 12,679 chars · 29 deps · depth 13 Reason: Proof of the Hilbert completion theorem (Goal 4, T2).

The coset operations inherit the vector-space and inner-product axioms, J uku_k converges to [u] which gives density, completeness follows by approximating a Cauchy sequence from J(V) using countable choice, and bounded maps extend by taking limits along representing Cauchy sequences.

Proof

This proof uses: the clauses Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §cauchy-space, Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §pairing, Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §null and Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §cosets, and the definition The Hilbert Completion of a Real Vector Space with a Positive Semidefinite Symmetric Bilinear Form; Vector Space over a Field, Linear Map and claims 1 and 2 of Elementary Identities in a Vector Space; Real Inner Product Space, The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity, Real Hilbert Space, Complete Metric Space, Convergent Sequence in a Metric Space, Cauchy Sequence in a Metric Space, Uniqueness of Limits in a Metric Space, Continuous Map Between Metric Spaces, Dense Subset of a Topological Space, Closure of a Subset of a Topological Space and Characterization of the Closure in a Metric Space by Open Balls; for real numbers Elementary Order Arithmetic in an Ordered Field, Elementary Arithmetic in an Ordered Field, Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, Existence and Uniqueness of the Nonnegative Square Root and claims 1, 3(a), 3(d), 3(e) and 5 of Real Powers Through the Exponential, and Elementary Asymptotic Tools: Monotonicity, Null Sequences of Negative Powers, Exponential Domination, Integer Rounding, and Square-Root and Exponential Inequalities; for real limits Limit of a Sequence of Real Numbers, Arithmetic of Limits of Real Sequences, Order Properties of Limits of Real Sequences and claim 1 of Uniqueness of Limits and Boundedness of Convergent Real Sequences; for indices, the maximum of finitely many natural numbers as in Step 3 of the proof of Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences (claim 1 of Elementary Properties of the Maximum of Two Elements and claim 1 of Properties of the Order on the Natural Numbers); and the axiom of countable choice, used once, in Step 6. Write ∥⋅∥\|\cdot\| for ∥⋅∥β\|\cdot\|_{\beta}, H=HβH=H_{\beta}, J=JβJ=J_{\beta}, and vˉ\bar v for the constant sequence with value v∈Vv\in V; for ε>0\varepsilon>0 the numbers ε/2\varepsilon/2 and ε/4=(ε/2)/2\varepsilon/4=(\varepsilon/2)/2 are positive with ε/2+ε/2=ε\varepsilon/2+\varepsilon/2=\varepsilon and ε/4+ε/4=ε/2\varepsilon/4+\varepsilon/4=\varepsilon/2 (claim 8 of Elementary Order Arithmetic in an Ordered Field).

Step 1 (claim 1, vector space). The operations of The Hilbert Completion of a Real Vector Space with a Positive Semidefinite Symmetric Bilinear Form §completion are well defined by Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §cosets, and CβC_{\beta} is a real vector space by Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §cauchy-space. Each of conditions 1, 2 and 5 to 8 of Vector Space over a Field for HH follows from the same condition in CβC_{\beta} by writing every element as a coset; for instance ([u]+[v])+[w]=[(u+v)+w]=[u+(v+w)]=[u]+([v]+[w])([u]+[v])+[w]=[(u+v)+w]=[u+(v+w)]=[u]+([v]+[w]) and c([u]+[v])=[c(u+v)]=[cu+cv]=c[u]+c[v]c([u]+[v])=[c(u+v)]=[cu+cv]=c[u]+c[v]. Condition 3 holds with [0ˉ][\bar0], since [u]+[0ˉ]=[u+0ˉ]=[u][u]+[\bar0]=[u+\bar0]=[u], and condition 4 with [(−1)u][(-1)u], since [u]+[(−1)u]=[u+(−1)u]=[0ˉ][u]+[(-1)u]=[u+(-1)u]=[\bar0]. By claims 1 and 2 of Elementary Identities in a Vector Space, [0ˉ][\bar0] is the zero vector of HH, −[u]=[(−1)u]-[u]=[(-1)u], and therefore [u]−[v]=[u−v][u]-[v]=[u-v] for u,v∈Cβu,v\in C_{\beta}.

Step 2 (claim 1, inner product). We check conditions (a) to (d) of Real Inner Product Space §inner-product for ⟨[u],[v]⟩H=β^(u,v)\langle[u],[v]\rangle_{H}=\widehat\beta(u,v), which is well defined by Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §cosets. By Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §pairing, β^\widehat\beta is symmetric and linear in its second argument, hence by symmetry also in its first; so ⟨[u]+[v],[w]⟩H=β^(u+v,w)=β^(u,w)+β^(v,w)\langle[u]+[v],[w]\rangle_{H}=\widehat\beta(u+v,w)=\widehat\beta(u,w)+\widehat\beta(v,w) and ⟨c[u],[w]⟩H=β^(cu,w)=c β^(u,w)\langle c[u],[w]\rangle_{H}=\widehat\beta(cu,w)=c\,\widehat\beta(u,w), which with symmetry gives (a) to (c). For (d), 0≤β^(u,u)0\le\widehat\beta(u,u) by Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §pairing; if β^(u,u)=0\widehat\beta(u,u)=0, then u∈Nβu\in N_{\beta} by Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §null, so u−0ˉ=u∈Nβu-\bar0=u\in N_{\beta} and [u]=[0ˉ][u]=[\bar0] by Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §cosets, the zero vector of HH (Step 1). So HH is a real inner product space. We record, for u∈Cβu\in C_{\beta},

∣[u]∣=lim⁡k→∞∥uk∥.(N)|[u]|=\lim_{k\to\infty}\|u_{k}\|.\tag{N}

Indeed ∥uk∥2=β(uk,uk)→β^(u,u)=∣[u]∣2\|u_{k}\|^{2}=\beta(u_{k},u_{k})\to\widehat\beta(u,u)=|[u]|^{2} by Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §pairing and Real Inner Product Space §norm; by claim 3(e) of Real Powers Through the Exponential, and Elementary Asymptotic Tools: Monotonicity, Null Sequences of Negative Powers, Exponential Domination, Integer Rounding, and Square-Root and Exponential Inequalities, ∥uk∥2→∣[u]∣2\sqrt{\|u_{k}\|^{2}}\to\sqrt{|[u]|^{2}}, and s2=s\sqrt{s^{2}}=s for s≥0s\ge0 by claim 5 there, so ∥uk∥→∣[u]∣\|u_{k}\|\to|[u]|.

Step 3 (claim 2). By The Hilbert Completion of a Real Vector Space with a Positive Semidefinite Symmetric Bilinear Form §canonical-map, Jv=[vˉ]Jv=[\bar v]. Since v+w‾=vˉ+wˉ\overline{v+w}=\bar v+\bar w and cv‾=c vˉ\overline{cv}=c\,\bar v termwise, J(v+w)=[vˉ+wˉ]=Jv+JwJ(v+w)=[\bar v+\bar w]=Jv+Jw and J(cv)=c JvJ(cv)=c\,Jv, so JJ is linear (Linear Map). By the last assertion of Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §pairing, ⟨Jv,Jw⟩H=β^(vˉ,wˉ)=β(v,w)\langle Jv,Jw\rangle_{H}=\widehat\beta(\bar v,\bar w)=\beta(v,w). In particular ∣Jv∣2=β(v,v)=∥v∥2|Jv|^{2}=\beta(v,v)=\|v\|^{2} with ∣Jv∣,∥v∥≥0|Jv|,\|v\|\ge0, so ∣Jv∣=∥v∥|Jv|=\|v\| by claim 3 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field. Finally Jv=[0ˉ]Jv=[\bar0] holds iff vˉ=vˉ−0ˉ∈Nβ\bar v=\bar v-\bar0\in N_{\beta} (Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §cosets) iff β^(vˉ,vˉ)=0\widehat\beta(\bar v,\bar v)=0 (Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §null) iff β(v,v)=0\beta(v,v)=0.

Step 4 (claim 3, convergence). Let u=(uk)∈Cβu=(u_{k})\in C_{\beta} and ε>0\varepsilon>0, and choose NN with ∥uk−ul∥<ε/2\|u_{k}-u_{l}\|<\varepsilon/2 for k,l≥Nk,l\ge N. Fix k≥Nk\ge N. By Step 1, Juk−[u]=[uˉk−u]Ju_{k}-[u]=[\bar u_{k}-u], and uˉk−u\bar u_{k}-u is the sequence (uk−ul)l∈N(u_{k}-u_{l})_{l\in\mathbb{N}}, which lies in CβC_{\beta}; so by (N), Lk:=∣Juk−[u]∣=lim⁡l→∞∥uk−ul∥L_{k}:=|Ju_{k}-[u]|=\lim_{l\to\infty}\|u_{k}-u_{l}\|. If ε/2<Lk\varepsilon/2<L_{k}, claim 3(d) of Real Powers Through the Exponential, and Elementary Asymptotic Tools: Monotonicity, Null Sequences of Negative Powers, Exponential Domination, Integer Rounding, and Square-Root and Exponential Inequalities would give N0N_{0} with ∥uk−ul∥>ε/2\|u_{k}-u_{l}\|>\varepsilon/2 for all l≥N0l\ge N_{0}, which fails at l=max⁡{N,N0}l=\max\{N,N_{0}\} because k,l≥Nk,l\ge N; hence Lk≤ε/2L_{k}\le\varepsilon/2, the order of R\mathbb{R} being total, and Lk<εL_{k}<\varepsilon by claim 2 of Elementary Order Arithmetic in an Ordered Field. Thus d(Juk,[u])=∣Juk−[u]∣<εd(Ju_{k},[u])=|Ju_{k}-[u]|<\varepsilon for all k≥Nk\ge N, where dd is the distance of HH, a metric by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §metric; that is, Juk→[u]Ju_{k}\to[u] in the sense of Convergent Sequence in a Metric Space.

Step 5 (claim 3, density). By Closure of a Subset of a Topological Space, cl⁡H(J(V))⊆H\operatorname{cl}_{H}(J(V))\subseteq H. Let h∈Hh\in H, say h=[u]h=[u], and ε>0\varepsilon>0. By Step 4 there is kk with d(Juk,h)<εd(Ju_{k},h)<\varepsilon, so d(h,Juk)<εd(h,Ju_{k})<\varepsilon with Juk∈J(V)Ju_{k}\in J(V) (symmetry of the metric, condition 3 of Metric Space). By the implication from condition 3 to condition 1 of Characterization of the Closure in a Metric Space by Open Balls, h∈cl⁡H(J(V))h\in\operatorname{cl}_{H}(J(V)). Hence cl⁡H(J(V))=H\operatorname{cl}_{H}(J(V))=H, and J(V)J(V) is dense in HH in the sense of Dense Subset of a Topological Space and Real Hilbert Space §topology.

Step 6 (claim 1, completeness). For m∈Nm\in\mathbb{N}, 1/m1/m is positive (claim 7 of Elementary Order Arithmetic in an Ordered Field, as m≥1>0m\ge1>0), and 1/m=m−1→01/m=m^{-1}\to0 by claims 3(a) (with a=1a=1) and 1 of Real Powers Through the Exponential, and Elementary Asymptotic Tools: Monotonicity, Null Sequences of Negative Powers, Exponential Domination, Integer Rounding, and Square-Root and Exponential Inequalities. Let (hm)m∈N(h_{m})_{m\in\mathbb{N}} be a Cauchy sequence in (H,d)(H,d) (Cauchy Sequence in a Metric Space). For each mm the set Am={v∈V: ∣Jv−hm∣<1/m}A_{m}=\{v\in V:\ |Jv-h_{m}|<1/m\} is nonempty by Step 4 (write hm=[u]h_{m}=[u] and take v=ukv=u_{k} for kk large). By Axiom of Countable Choice, applied to the family (Am)m∈N(A_{m})_{m\in\mathbb{N}} of nonempty subsets of VV, there is a sequence (vm)(v_{m}) in VV with vm∈Amv_{m}\in A_{m} for every mm. For m,l∈Nm,l\in\mathbb{N}, Step 3 and the triangle inequality of the metric dd (The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §metric) give

∥vm−vl∥=∣Jvm−Jvl∣≤∣Jvm−hm∣+∣hm−hl∣+∣hl−Jvl∣<1/m+∣hm−hl∣+1/l.\|v_{m}-v_{l}\|=|Jv_{m}-Jv_{l}|\le|Jv_{m}-h_{m}|+|h_{m}-h_{l}|+|h_{l}-Jv_{l}|<1/m+|h_{m}-h_{l}|+1/l .

Given ε>0\varepsilon>0, choose N1N_{1} with 1/m<ε/41/m<\varepsilon/4 for m≥N1m\ge N_{1} and N2N_{2} with ∣hm−hl∣<ε/2|h_{m}-h_{l}|<\varepsilon/2 for m,l≥N2m,l\ge N_{2}; for m,l≥max⁡{N1,N2}m,l\ge\max\{N_{1},N_{2}\} the right side is <ε/4+ε/2+ε/4=ε<\varepsilon/4+\varepsilon/2+\varepsilon/4=\varepsilon (claim 3 of Elementary Order Arithmetic in an Ordered Field). So w=(vm)∈Cβw=(v_{m})\in C_{\beta}. By Step 4, Jvm→[w]Jv_{m}\to[w]; choose N3N_{3} with ∣Jvm−[w]∣<ε/2|Jv_{m}-[w]|<\varepsilon/2 for m≥N3m\ge N_{3} and N4N_{4} with 1/m<ε/21/m<\varepsilon/2 for m≥N4m\ge N_{4}. For m≥max⁡{N3,N4}m\ge\max\{N_{3},N_{4}\}, d(hm,[w])≤∣hm−Jvm∣+∣Jvm−[w]∣<εd(h_{m},[w])\le|h_{m}-Jv_{m}|+|Jv_{m}-[w]|<\varepsilon. Hence hm→[w]h_{m}\to[w], (H,d)(H,d) is complete (Complete Metric Space), and HH is a real Hilbert space by Real Hilbert Space §hilbert.

Step 7 (claim 4, uniqueness). Let F,G:H→KF,G:H\to K be continuous with F(Jv)=G(Jv)=TvF(Jv)=G(Jv)=Tv for v∈Vv\in V, and let h=[u]∈Hh=[u]\in H. By Step 4, Juk→hJu_{k}\to h. Given ε>0\varepsilon>0, continuity of FF at hh (Continuous Map Between Metric Spaces) gives δ>0\delta>0, and there is NN with d(h,Juk)<δd(h,Ju_{k})<\delta for k≥Nk\ge N; then dK(F(Juk),F(h))<εd_{K}(F(Ju_{k}),F(h))<\varepsilon for k≥Nk\ge N, so Tuk=F(Juk)→F(h)Tu_{k}=F(Ju_{k})\to F(h) in KK. Likewise Tuk→G(h)Tu_{k}\to G(h), and F(h)=G(h)F(h)=G(h) by Uniqueness of Limits in a Metric Space.

Step 8 (claim 4, existence). Put C′=C+1>0C'=C+1>0. Let u∈Cβu\in C_{\beta}. For k,l∈Nk,l\in\mathbb{N}, linearity of TT and the hypothesis give ∣Tuk−Tul∣K=∣T(uk−ul)∣K≤C∥uk−ul∥≤C′∥uk−ul∥|Tu_{k}-Tu_{l}|_{K}=|T(u_{k}-u_{l})|_{K}\le C\|u_{k}-u_{l}\|\le C'\|u_{k}-u_{l}\| (claim 5 of Elementary Arithmetic in an Ordered Field). Given ε>0\varepsilon>0, choosing NN with ∥uk−ul∥<ε/C′\|u_{k}-u_{l}\|<\varepsilon/C' for k,l≥Nk,l\ge N gives ∣Tuk−Tul∣K<ε|Tu_{k}-Tu_{l}|_{K}<\varepsilon (claim 10 of Elementary Order Arithmetic in an Ordered Field); so (Tuk)(Tu_{k}) is Cauchy in KK and, KK being complete (Real Hilbert Space §hilbert), converges to a point Λ(u)∈K\Lambda(u)\in K, unique by Uniqueness of Limits in a Metric Space. If [u]=[u′][u]=[u'], then u−u′∈Nβu-u'\in N_{\beta} (Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §cosets), so C′∥uk−uk′∥→0C'\|u_{k}-u'_{k}\|\to0 by Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §null and claim 3 of Arithmetic of Limits of Real Sequences; given ε>0\varepsilon>0, for kk beyond the two relevant indices, the triangle inequality of dKd_{K} (The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §metric), linearity of TT, the hypothesis on TT and ∥uk′−uk∥=∥uk−uk′∥\|u'_{k}-u_{k}\|=\|u_{k}-u'_{k}\| (Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §cauchy-schwarz with c=−1c=-1) give ∣Tuk′−Λ(u)∣K≤∣T(uk′−uk)∣K+∣Tuk−Λ(u)∣K≤C′∥uk−uk′∥+∣Tuk−Λ(u)∣K<ε/2+ε/2|Tu'_{k}-\Lambda(u)|_{K}\le|T(u'_{k}-u_{k})|_{K}+|Tu_{k}-\Lambda(u)|_{K}\le C'\|u_{k}-u'_{k}\|+|Tu_{k}-\Lambda(u)|_{K}<\varepsilon/2+\varepsilon/2. So Tuk′→Λ(u)Tu'_{k}\to\Lambda(u) and Λ(u′)=Λ(u)\Lambda(u')=\Lambda(u). Hence T^([u])=Λ(u)=lim⁡kTuk\widehat{T}([u])=\Lambda(u)=\lim_{k}Tu_{k} is a well-defined map H→KH\to K.

For v∈Vv\in V the sequence (Tvˉk)(T\bar v_{k}) is constant with value TvTv, which converges to TvTv as dK(Tv,Tv)=0d_{K}(Tv,Tv)=0; so T^(Jv)=Tv\widehat{T}(Jv)=Tv. Linearity: T(uk+vk)=Tuk+TvkT(u_{k}+v_{k})=Tu_{k}+Tv_{k} and T(cuk)=c TukT(cu_{k})=c\,Tu_{k}, so by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §linear-limits in KK and uniqueness of limits, T^([u]+[v])=T^([u+v])=T^[u]+T^[v]\widehat{T}([u]+[v])=\widehat{T}([u+v])=\widehat{T}[u]+\widehat{T}[v] and T^(c[u])=c T^[u]\widehat{T}(c[u])=c\,\widehat{T}[u]. Bound: for h=[u]h=[u], ∣Tuk∣K→∣T^h∣K|Tu_{k}|_{K}\to|\widehat{T}h|_{K} by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §continuity, C∥uk∥→C∣h∣C\|u_{k}\|\to C|h| by (N) and claim 3 of Arithmetic of Limits of Real Sequences, and ∣Tuk∣K≤C∥uk∥|Tu_{k}|_{K}\le C\|u_{k}\| for every kk; so ∣T^h∣K≤C∣h∣|\widehat{T}h|_{K}\le C|h| by claim 1 of Order Properties of Limits of Real Sequences. Continuity: let h∈Hh\in H and ε>0\varepsilon>0, and put δ=ε/C′\delta=\varepsilon/C'. If d(h,g)<δd(h,g)<\delta, then by linearity and the bound, dK(T^g,T^h)=∣T^(g−h)∣K≤C∣g−h∣≤C′d(h,g)<εd_{K}(\widehat{T}g,\widehat{T}h)=|\widehat{T}(g-h)|_{K}\le C|g-h|\le C'd(h,g)<\varepsilon (here ∣g−h∣=d(g,h)=d(h,g)|g-h|=d(g,h)=d(h,g) by Real Inner Product Space §distance and condition 3 of Metric Space). So T^\widehat{T} is continuous (Continuous Map Between Metric Spaces), and by Step 7 it is the only continuous map with T^(Jv)=Tv\widehat{T}(Jv)=Tv.

Step 9 (claim 4, inner products). Assume ⟨Tu,Tv⟩K=β(u,v)\langle Tu,Tv\rangle_{K}=\beta(u,v) for u,v∈Vu,v\in V, and let g=[u]g=[u], h=[v]h=[v]. Then Tuk→T^gTu_{k}\to\widehat{T}g and Tvk→T^hTv_{k}\to\widehat{T}h in KK (Step 8), so β(uk,vk)=⟨Tuk,Tvk⟩K→⟨T^g,T^h⟩K\beta(u_{k},v_{k})=\langle Tu_{k},Tv_{k}\rangle_{K}\to\langle\widehat{T}g,\widehat{T}h\rangle_{K} by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §continuity, while β(uk,vk)→β^(u,v)=⟨g,h⟩H\beta(u_{k},v_{k})\to\widehat\beta(u,v)=\langle g,h\rangle_{H} by Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences §pairing. By claim 1 of Uniqueness of Limits and Boundedness of Convergent Real Sequences, ⟨T^g,T^h⟩K=⟨g,h⟩H\langle\widehat{T}g,\widehat{T}h\rangle_{K}=\langle g,h\rangle_{H}.

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