TheoremBase

For each xx the form b(x,⋅)b(x,\cdot) is a bounded linear functional, so the Riesz representation theorem produces a unique vector TbxT_bx; uniqueness of the representing vector then gives linearity of TbT_b and of the correspondence, and the two norm inequalities give the isometry.

Proof

Throughout we use that 0≤∥b∥0\le\lVert b\rVert for every b∈Sym(H)b\in\mathrm{Sym}(H) and 0≤∥T∥0\le\lVert T\rVert for every T∈L(H)T\in\mathcal{L}(H): by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (ii) and Bounded Linear Maps and Bounded Linear Functionals on Real Inner Product Spaces, and the Operator Norm (ii) these numbers are greatest lower bounds of sets of nonnegative real numbers, of which 00 is therefore a lower bound. We also use the symmetry ⟨x,y⟩=⟨y,x⟩\langle x,y\rangle=\langle y,x\rangle of Real Inner Product Spaces (i) without comment.

Claim 1. Let b∈Sym(H)b\in\mathrm{Sym}(H) and fix x∈Hx\in H. The map ℓx:H→R\ell_{x}:H\to\mathbb{R} given by ℓx(y)=b(x,y)\ell_{x}(y)=b(x,y) is a linear functional: for y,y′∈Hy,y'\in H and λ∈R\lambda\in\mathbb{R}, the symmetry, additivity and homogeneity of Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (i) give

b(x,y+y′)=b(y+y′,x)=b(y,x)+b(y′,x)=b(x,y)+b(x,y′),b(x,λy)=b(λy,x)=λ b(y,x)=λ b(x,y).b(x,y+y')=b(y+y',x)=b(y,x)+b(y',x)=b(x,y)+b(x,y'),\qquad b(x,\lambda y)=b(\lambda y,x)=\lambda\,b(y,x)=\lambda\,b(x,y).

It is bounded, since ∣b(x,y)∣≤∥b∥ ∣x∣ ∣y∣|b(x,y)|\le\lVert b\rVert\,|x|\,|y| by Elementary Properties of Bounded Symmetric Bilinear Forms: Norm, Quadratic Form, Order and Continuity (ii), so that the constant ∥b∥ ∣x∣\lVert b\rVert\,|x| serves in Bounded Linear Maps and Bounded Linear Functionals on Real Inner Product Spaces, and the Operator Norm (iii). By The Riesz Representation Theorem for a Real Hilbert Space (i) there is z∈Hz\in H with b(x,y)=⟨y,z⟩=⟨z,y⟩b(x,y)=\langle y,z\rangle=\langle z,y\rangle for every y∈Hy\in H, and by The Riesz Representation Theorem for a Real Hilbert Space (ii) such a zz is unique. Setting Tbx=zT_{b}x=z for each x∈Hx\in H defines a map Tb:H→HT_{b}:H\to H with b(x,y)=⟨Tbx,y⟩b(x,y)=\langle T_{b}x,y\rangle for all x,y∈Hx,y\in H. If T:H→HT:H\to H is any map with this property, then for each xx we have ⟨y,Tx⟩=⟨y,Tbx⟩\langle y,Tx\rangle=\langle y,T_{b}x\rangle for every y∈Hy\in H, so Tx=TbxTx=T_{b}x by The Riesz Representation Theorem for a Real Hilbert Space (ii); the map is therefore unique.

The map TbT_{b} is linear: for x,x′,y∈Hx,x',y\in H and λ∈R\lambda\in\mathbb{R}, Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (i) and conditions (b) and (c) of Real Inner Product Spaces (i) give

⟨Tb(x+x′),y⟩=b(x+x′,y)=b(x,y)+b(x′,y)=⟨Tbx+Tbx′,y⟩,⟨Tb(λx),y⟩=b(λx,y)=λ b(x,y)=⟨λ Tbx,y⟩,\langle T_{b}(x+x'),y\rangle=b(x+x',y)=b(x,y)+b(x',y)=\langle T_{b}x+T_{b}x',y\rangle,\qquad\langle T_{b}(\lambda x),y\rangle=b(\lambda x,y)=\lambda\,b(x,y)=\langle\lambda\,T_{b}x,y\rangle ,

for every y∈Hy\in H, whence Tb(x+x′)=Tbx+Tbx′T_{b}(x+x')=T_{b}x+T_{b}x' and Tb(λx)=λ TbxT_{b}(\lambda x)=\lambda\,T_{b}x by The Riesz Representation Theorem for a Real Hilbert Space (ii). It is bounded: for x∈Hx\in H,

∣Tbx∣2=⟨Tbx,Tbx⟩=b(x,Tbx)≤∣b(x,Tbx)∣≤∥b∥ ∣x∣ ∣Tbx∣,|T_{b}x|^{2}=\langle T_{b}x,T_{b}x\rangle=b(x,T_{b}x)\le\bigl|b(x,T_{b}x)\bigr|\le\lVert b\rVert\,|x|\,|T_{b}x| ,

by Real Inner Product Spaces (ii), claim 3 of Properties of the Absolute Value in an Ordered Field and Elementary Properties of Bounded Symmetric Bilinear Forms: Norm, Quadratic Form, Order and Continuity (ii). If Tbx=0HT_{b}x=0_{H} then ∣Tbx∣=0≤∥b∥ ∣x∣|T_{b}x|=0\le\lVert b\rVert\,|x|, the last inequality by claim 5 of Elementary Arithmetic in an Ordered Field. Otherwise ∣Tbx∣|T_{b}x| is positive by Elementary Identities in a Real Inner Product Space (iii), and multiplying the displayed inequality by the nonnegative number ∣Tbx∣−1|T_{b}x|^{-1} (claim 5 of Elementary Arithmetic in an Ordered Field, with claim 7 of Elementary Order Arithmetic in an Ordered Field for its positivity) gives ∣Tbx∣≤∥b∥ ∣x∣|T_{b}x|\le\lVert b\rVert\,|x|. In either case Tb∈L(H)T_{b}\in\mathcal{L}(H) by Bounded Linear Maps and Bounded Linear Functionals on Real Inner Product Spaces, and the Operator Norm (i).

Claim 2. For x,y∈Hx,y\in H, using claim 1 and the symmetry of Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (i),

⟨Tbx,y⟩=b(x,y)=b(y,x)=⟨Tby,x⟩=⟨x,Tby⟩.\langle T_{b}x,y\rangle=b(x,y)=b(y,x)=\langle T_{b}y,x\rangle=\langle x,T_{b}y\rangle .

Claim 3. The bound ∣Tbx∣≤∥b∥ ∣x∣|T_{b}x|\le\lVert b\rVert\,|x| established in claim 1 holds for every x∈Hx\in H, and 0≤∥b∥0\le\lVert b\rVert, so Elementary Properties of Bounded Linear Maps and Functionals on Real Inner Product Spaces (i) gives ∥Tb∥≤∥b∥\lVert T_{b}\rVert\le\lVert b\rVert. Conversely, for all x,y∈Hx,y\in H, The Cauchy–Schwarz Inequality in a Real Inner Product Space, Elementary Properties of Bounded Linear Maps and Functionals on Real Inner Product Spaces (i) and claim 5 of Elementary Arithmetic in an Ordered Field give

∣b(x,y)∣=∣⟨Tbx,y⟩∣≤∣Tbx∣ ∣y∣≤∥Tb∥ ∣x∣ ∣y∣,\bigl|b(x,y)\bigr|=\bigl|\langle T_{b}x,y\rangle\bigr|\le|T_{b}x|\,|y|\le\lVert T_{b}\rVert\,|x|\,|y| ,

so ∥b∥≤∥Tb∥\lVert b\rVert\le\lVert T_{b}\rVert by Elementary Properties of Bounded Symmetric Bilinear Forms: Norm, Quadratic Form, Order and Continuity (ii), since 0≤∥Tb∥0\le\lVert T_{b}\rVert. The order of R\mathbb{R} is antisymmetric, being a total order, so ∥Tb∥=∥b∥\lVert T_{b}\rVert=\lVert b\rVert.

Claim 4. By Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (iv) and condition (b) of Real Inner Product Spaces (i), for all x,y∈Hx,y\in H,

⟨Tb1+b2x,y⟩=(b1+b2)(x,y)=b1(x,y)+b2(x,y)=⟨Tb1x,y⟩+⟨Tb2x,y⟩=⟨Tb1x+Tb2x,y⟩.\langle T_{b_{1}+b_{2}}x,y\rangle=(b_{1}+b_{2})(x,y)=b_{1}(x,y)+b_{2}(x,y)=\langle T_{b_{1}}x,y\rangle+\langle T_{b_{2}}x,y\rangle=\langle T_{b_{1}}x+T_{b_{2}}x,y\rangle .

Since Tb1+Tb2T_{b_{1}}+T_{b_{2}} is a map from HH to HH representing b1+b2b_{1}+b_{2} in the sense of claim 1, the uniqueness there gives Tb1+b2=Tb1+Tb2T_{b_{1}+b_{2}}=T_{b_{1}}+T_{b_{2}}. The same argument, with condition (c) of Real Inner Product Spaces (i) in place of (b), gives Tλb1=λ Tb1T_{\lambda b_{1}}=\lambda\,T_{b_{1}}. Furthermore I(x,y)=⟨x,y⟩=⟨idHx,y⟩I(x,y)=\langle x,y\rangle=\langle\mathrm{id}_{H}x,y\rangle and (cI)(x,y)=c ⟨x,y⟩=⟨c x,y⟩(cI)(x,y)=c\,\langle x,y\rangle=\langle c\,x,y\rangle by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (iv) and condition (c), while 0Sym(x,y)=0=⟨0H,y⟩0_{\mathrm{Sym}}(x,y)=0=\langle 0_{H},y\rangle by Elementary Identities in a Real Inner Product Space (ii); the uniqueness in claim 1 gives TI=idHT_{I}=\mathrm{id}_{H}, TcIx=c xT_{cI}x=c\,x and T0Symx=0HT_{0_{\mathrm{Sym}}}x=0_{H} for every x∈Hx\in H.

Claim 5. The map bTb_{T} is symmetric, since bT(x,y)=⟨Tx,y⟩=⟨x,Ty⟩=⟨Ty,x⟩=bT(y,x)b_{T}(x,y)=\langle Tx,y\rangle=\langle x,Ty\rangle=\langle Ty,x\rangle=b_{T}(y,x) by hypothesis. It is additive and homogeneous in its first argument, because TT is a linear map and the inner product satisfies conditions (b) and (c) of Real Inner Product Spaces (i). It is bounded, since The Cauchy–Schwarz Inequality in a Real Inner Product Space, Elementary Properties of Bounded Linear Maps and Functionals on Real Inner Product Spaces (i) and claim 5 of Elementary Arithmetic in an Ordered Field give ∣⟨Tx,y⟩∣≤∣Tx∣ ∣y∣≤∥T∥ ∣x∣ ∣y∣|\langle Tx,y\rangle|\le|Tx|\,|y|\le\lVert T\rVert\,|x|\,|y| for all x,y∈Hx,y\in H. Hence bT∈Sym(H)b_{T}\in\mathrm{Sym}(H) by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (i). Since bT(x,y)=⟨Tx,y⟩b_{T}(x,y)=\langle Tx,y\rangle for all x,y∈Hx,y\in H, the map TT represents bTb_{T} in the sense of claim 1, so TbT=TT_{b_{T}}=T by the uniqueness there.

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