TheoremBase

Linearity, monotonicity and the norm bound come from the corresponding properties of series of real numbers; the tail estimate splits the series at a cut-off chosen from the convergence of the defining series and uses the convergence of orthonormal expansions on the finitely many leading terms.

Proof

Each result cited is universally quantified over the data in its own statement. Throughout, kk and mm range over N\mathbb{N}, and for X∈Sym(V)X\in\mathrm{Sym}(V) we write ak(X)=X(fk,fk)a_{k}(X)=X(f_{k},f_{k}), so that TrfX=∑k=1∞ak(X)\mathrm{Tr}_{f}X=\sum_{k=1}^{\infty}a_{k}(X), a convergent series by Square-Summable Sequences in the Form Space of a Hilbert Triple and the Trace of a Form along Them (ii). We use repeatedly that the norm of a member bb of Sym(E)\mathrm{Sym}(E), for a real inner product space EE, is nonnegative: by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (ii) it is the greatest lower bound of a set of nonnegative reals, of which 00 is a lower bound, so 0≤∥b∥0\le\lVert b\rVert by Existence of the Infimum of a Nonempty Subset of R\mathbb{R} Bounded Below.

Claim 1. By Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (iv), ak(X+X′)=ak(X)+ak(X′)a_{k}(X+X')=a_{k}(X)+a_{k}(X') and ak(λX)=λ ak(X)a_{k}(\lambda X)=\lambda\,a_{k}(X) for every kk. The three series ∑k=1∞ak(X)\sum_{k=1}^{\infty}a_{k}(X), ∑k=1∞ak(X′)\sum_{k=1}^{\infty}a_{k}(X') and ∑k=1∞ak(X+X′)\sum_{k=1}^{\infty}a_{k}(X+X') converge, so claim 1 of Elementary Properties of Series of Real Numbers gives the first two identities. For the third, 0Sym∈Sym(V)0_{\mathrm{Sym}}\in\mathrm{Sym}(V) by claim 1 of Elementary Properties of Bounded Symmetric Bilinear Forms: Norm, Quadratic Form, Order and Continuity, and 0 0Sym=0Sym0\,0_{\mathrm{Sym}}=0_{\mathrm{Sym}}, both forms taking the value 00 at every pair; so the homogeneity just proved, applied with λ=0\lambda=0, gives Trf0Sym=0⋅Trf0Sym=0\mathrm{Tr}_{f}0_{\mathrm{Sym}}=0\cdot\mathrm{Tr}_{f}0_{\mathrm{Sym}}=0.

Claim 2. Suppose X⪯X′X\preceq X'. Since fk∈Vf_{k}\in V, Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (iii) gives ak(X)≤ak(X′)a_{k}(X)\le a_{k}(X') for every kk. Both series converge, so claim 4 of Elementary Properties of Series of Real Numbers gives TrfX≤TrfX′\mathrm{Tr}_{f}X\le\mathrm{Tr}_{f}X'.

Claim 3. Put μk=∥X∥Sym(V) ∣fk∣V2\mu_{k}=\lVert X\rVert_{\mathrm{Sym}(V)}\,|f_{k}|_{V}^{2}. As recorded in Square-Summable Sequences in the Form Space of a Hilbert Triple and the Trace of a Form along Them (ii), −μk≤ak(X)≤μk-\mu_{k}\le a_{k}(X)\le\mu_{k} for every kk, and ∑k=1∞μk\sum_{k=1}^{\infty}\mu_{k} converges with sum ∥X∥Sym(V) σ(f)\lVert X\rVert_{\mathrm{Sym}(V)}\,\sigma(f); by claim 1 of Elementary Properties of Series of Real Numbers the series ∑k=1∞(−μk)\sum_{k=1}^{\infty}(-\mu_{k}) converges with sum −∥X∥Sym(V) σ(f)-\lVert X\rVert_{\mathrm{Sym}(V)}\,\sigma(f). Claim 4 of that lemma, applied twice, gives

−∥X∥Sym(V) σ(f) ≤ TrfX ≤ ∥X∥Sym(V) σ(f),-\lVert X\rVert_{\mathrm{Sym}(V)}\,\sigma(f)\ \le\ \mathrm{Tr}_{f}X\ \le\ \lVert X\rVert_{\mathrm{Sym}(V)}\,\sigma(f),

and claim 6 of Properties of the Absolute Value in an Ordered Field turns this into the stated bound.

Claim 4. By Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (iv), IV(fk,fk)=⟨fk,fk⟩VI_{V}(f_{k},f_{k})=\langle f_{k},f_{k}\rangle_{V}, which equals ∣fk∣V2|f_{k}|_{V}^{2} by Real Inner Product Spaces (ii). The series defining TrfIV\mathrm{Tr}_{f}I_{V} and σ(f)\sigma(f) therefore have the same terms, and hence the same sum.

Claim 5. Let k∈Nk\in\mathbb{N}. Since fk∈Vf_{k}\in V, Hilbert Triples: Standing Notation and Background (i) gives ∣fk∣H≤∣fk∣V|f_{k}|_{H}\le|f_{k}|_{V}, and both are nonnegative; so ∣fk∣H2≤∣fk∣V2|f_{k}|_{H}^{2}\le|f_{k}|_{V}^{2} by claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, and 0≤∣fk∣H20\le|f_{k}|_{H}^{2} by claim 5 of Elementary Arithmetic in an Ordered Field. By claim 3 of Series of Nonnegative Real Numbers, Comparison, and the Geometric Series the series ∑k=1∞∣fk∣H2\sum_{k=1}^{\infty}|f_{k}|_{H}^{2} converges and its sum σH(f)\sigma_{H}(f) satisfies σH(f)≤σ(f)\sigma_{H}(f)\le\sigma(f); and 0≤σH(f)0\le\sigma_{H}(f) by claim 2 of that lemma.

Let Y∈Sym(H)Y\in\mathrm{Sym}(H). Then Y∣V∈Sym(V)Y|_{V}\in\mathrm{Sym}(V) by Hilbert Triples: Standing Notation and Background (vi), so Trf(Y∣V)\mathrm{Tr}_{f}(Y|_{V}) is defined, and Y∣V(fk,fk)=Y(fk,fk)Y|_{V}(f_{k},f_{k})=Y(f_{k},f_{k}) by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (v). By claim 2 of Elementary Properties of Bounded Symmetric Bilinear Forms: Norm, Quadratic Form, Order and Continuity, ∣Y(fk,fk)∣≤∥Y∥ ∣fk∣H2|Y(f_{k},f_{k})|\le\lVert Y\rVert\,|f_{k}|_{H}^{2}; the series ∑k=1∞∥Y∥ ∣fk∣H2\sum_{k=1}^{\infty}\lVert Y\rVert\,|f_{k}|_{H}^{2} converges with sum ∥Y∥ σH(f)\lVert Y\rVert\,\sigma_{H}(f) by claim 1 of Elementary Properties of Series of Real Numbers, so the argument of claim 3, with ∥Y∥ ∣fk∣H2\lVert Y\rVert\,|f_{k}|_{H}^{2} in place of μk\mu_{k}, gives ∣Trf(Y∣V)∣≤∥Y∥ σH(f)|\mathrm{Tr}_{f}(Y|_{V})|\le\lVert Y\rVert\,\sigma_{H}(f). Finally ∥Y∥ σH(f)≤∥Y∥ σ(f)\lVert Y\rVert\,\sigma_{H}(f)\le\lVert Y\rVert\,\sigma(f) by claim 5 of Elementary Arithmetic in an Ordered Field, the multiplier ∥Y∥\lVert Y\rVert being nonnegative.

Claim 6, the tail forms. Let m∈Nm\in\mathbb{N}. By The Tail-Insensitivity Condition for an Equation Operator on a Hilbert Triple (i), NmN_{m} is the tail form, in the sense of Coordinate Maps of a Finite Orthonormal Tuple: Forms, the Tail Form, and Quadratic Test Functions (iii), of the orthonormal mm-tuple with components e1,…,eme_{1},\dots,e_{m}. Write Pmz=∑i=1m⟨z,ei⟩HeiP_{m}z=\sum_{i=1}^{m}\langle z,e_{i}\rangle_{H}e_{i} for the map of Coordinate Maps of a Finite Orthonormal Tuple: Forms, the Tail Form, and Quadratic Test Functions formed with that tuple. That clause gives

Nm(z,z)=∣z−Pmz∣H2(z∈H),0Sym⪯Nm⪯IH.N_{m}(z,z)=|z-P_{m}z|_{H}^{2}\quad(z\in H), \qquad 0_{\mathrm{Sym}}\preceq N_{m}\preceq I_{H}.

Put βk(m)=Nm∣V(fk,fk)\beta_{k}(m)=N_{m}|_{V}(f_{k},f_{k}), which equals Nm(fk,fk)=∣fk−Pmfk∣H2N_{m}(f_{k},f_{k})=|f_{k}-P_{m}f_{k}|_{H}^{2} by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (v). Applying Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (iii) to 0Sym⪯Nm⪯IH0_{\mathrm{Sym}}\preceq N_{m}\preceq I_{H} at the vector fkf_{k}, and then claim 5,

0≤βk(m)≤∣fk∣H2≤∣fk∣V2for all k,m∈N.0\le\beta_{k}(m)\le|f_{k}|_{H}^{2}\le|f_{k}|_{V}^{2}\qquad\text{for all }k,m\in\mathbb{N}.

In particular Trf(Nm∣V)=∑k=1∞βk(m)\mathrm{Tr}_{f}(N_{m}|_{V})=\sum_{k=1}^{\infty}\beta_{k}(m) is nonnegative, by claim 2 of Series of Nonnegative Real Numbers, Comparison, and the Geometric Series.

Claim 6, the limit. Let ε∈R\varepsilon\in\mathbb{R} be positive; the order of the choices below is: first the cut-off nn, then the index m0m_{0}.

The cut-off. The partial sums of ∑k=1∞∣fk∣V2\sum_{k=1}^{\infty}|f_{k}|_{V}^{2} converge to σ(f)\sigma(f) by Series of Real Numbers (ii), so there is n∈Nn\in\mathbb{N} with

σ(f)−∑k=1n∣fk∣V2<ε2.\sigma(f)-\sum_{k=1}^{n}|f_{k}|_{V}^{2}<\tfrac{\varepsilon}{2}.

The leading terms. Fix k∈Nk\in\mathbb{N}. By Orthonormal Expansions in a Real Hilbert Space (iii) the series ∑i=1∞⟨fk,ei⟩Hei\sum_{i=1}^{\infty}\langle f_{k},e_{i}\rangle_{H}e_{i} converges in HH with sum fkf_{k}; its mm-th partial sum is PmfkP_{m}f_{k}, so the sequence (Pmfk)m∈N(P_{m}f_{k})_{m\in\mathbb{N}} converges to fkf_{k} in (H,dH)(H,d_{H}), that is, (∣fk−Pmfk∣H)m∈N(|f_{k}-P_{m}f_{k}|_{H})_{m\in\mathbb{N}} converges to 00, the distance being the norm of the difference by Real Inner Product Spaces (iii). By claim 2 of Arithmetic of Limits of Real Sequences the sequence (βk(m))m∈N(\beta_{k}(m))_{m\in\mathbb{N}}, whose terms are products of that sequence with itself, converges to 00. Hence, by Finite Sums of Real Numbers: Nonnegativity, Domination by the Sum, and Limits (iii) applied with N=nN=n to these nn sequences, the sequence whose mm-th term is ∑k=1nβk(m)\sum_{k=1}^{n}\beta_{k}(m) converges to ∑k=1n0\sum_{k=1}^{n}0, which is 00 by claim 3 of Properties of Finite Sums applied with λ=0\lambda=0. So there is m0∈Nm_{0}\in\mathbb{N} such that

∑k=1nβk(m)<ε2for every m∈N with m0≤m,\sum_{k=1}^{n}\beta_{k}(m)<\tfrac{\varepsilon}{2}\qquad\text{for every }m\in\mathbb{N}\text{ with }m_{0}\le m,

the sum being nonnegative by claim 5 of Properties of Finite Sums.

The remaining terms. Let m∈Nm\in\mathbb{N}, put μk=∣fk∣V2\mu_{k}=|f_{k}|_{V}^{2}, and let wkw_{k} be βk(m)1μk\beta_{k}(m)\tfrac{1}{\mu_{k}} if μk≠0\mu_{k}\ne0 and 00 if μk=0\mu_{k}=0. If μk=0\mu_{k}=0 then βk(m)=0\beta_{k}(m)=0, since 0≤βk(m)≤μk0\le\beta_{k}(m)\le\mu_{k}; so μkwk=βk(m)\mu_{k}w_{k}=\beta_{k}(m) in either case. Moreover 0≤wk≤10\le w_{k}\le1: this is clear when μk=0\mu_{k}=0, and otherwise μk\mu_{k} is positive, so 1μk\tfrac{1}{\mu_{k}} is positive by claim 7 of Elementary Order Arithmetic in an Ordered Field, and multiplying 0≤βk(m)≤μk0\le\beta_{k}(m)\le\mu_{k} by it, by claim 5 of Elementary Arithmetic in an Ordered Field, gives 0≤wk≤10\le w_{k}\le1. Claim 5 of Series of Nonnegative Real Numbers, Comparison, and the Geometric Series, applied with these μk\mu_{k} and wkw_{k} and with M=1M=1, now gives

0≤∑k=1∞βk(m)−∑k=1nβk(m)≤σ(f)−∑k=1nμk<ε2.0\le\sum_{k=1}^{\infty}\beta_{k}(m)-\sum_{k=1}^{n}\beta_{k}(m)\le\sigma(f)-\sum_{k=1}^{n}\mu_{k}<\tfrac{\varepsilon}{2}.

Conclusion. Let m∈Nm\in\mathbb{N} with m0≤mm_{0}\le m. Adding the two displayed estimates gives 0≤Trf(Nm∣V)<ε0\le\mathrm{Tr}_{f}(N_{m}|_{V})<\varepsilon, whence ∣Trf(Nm∣V)−0∣<ε|\mathrm{Tr}_{f}(N_{m}|_{V})-0|<\varepsilon by claim 1 of Properties of the Absolute Value in an Ordered Field. As ε\varepsilon was an arbitrary positive real, the sequence (Trf(Nm∣V))m∈N(\mathrm{Tr}_{f}(N_{m}|_{V}))_{m\in\mathbb{N}} converges to 00.

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