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Proof of The Bounded Symmetric Operator Represented by a Bounded Symmetric Bilinear Form on a Real Hilbert Space

lemmalem:form-operator-hilbert-2026a
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· 6,276 chars · 13 deps · depth 14 Reason: First publication. Riesz representation applied to the functional b(x,.) for each x, with uniqueness of the representing vector giving both linearity of the operator and uniqueness of the map itself; the two norm inequalities give the isometry.

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 0b0\le\lVert b\rVert for every bSym(H)b\in\mathrm{Sym}(H) and 0T0\le\lVert T\rVert for every TL(H)T\in\mathcal{L}(H): by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction §norm and Bounded Linear Maps and Bounded Linear Functionals on Real Inner Product Spaces, and the Operator Norm §operator-norm 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 Space §inner-product without comment.

Claim 1. Let bSym(H)b\in\mathrm{Sym}(H) and fix xHx\in H. The map x:HR\ell_{x}:H\to\mathbb{R} given by x(y)=b(x,y)\ell_{x}(y)=b(x,y) is a linear functional: for y,yHy,y'\in H and λR\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 §form 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)=λb(y,x)=λb(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)bxy|b(x,y)|\le\lVert b\rVert\,|x|\,|y| by Elementary Properties of Bounded Symmetric Bilinear Forms: Norm, Quadratic Form, Order and Continuity §bound, so that the constant bx\lVert b\rVert\,|x| serves in Bounded Linear Maps and Bounded Linear Functionals on Real Inner Product Spaces, and the Operator Norm §functional. By The Riesz Representation Theorem for a Real Hilbert Space §existence there is zHz\in H with b(x,y)=y,z=z,yb(x,y)=\langle y,z\rangle=\langle z,y\rangle for every yHy\in H, and by The Riesz Representation Theorem for a Real Hilbert Space §uniqueness such a zz is unique. Setting Tbx=zT_{b}x=z for each xHx\in H defines a map Tb:HHT_{b}:H\to H with b(x,y)=Tbx,yb(x,y)=\langle T_{b}x,y\rangle for all x,yHx,y\in H. If T:HHT: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 yHy\in H, so Tx=TbxTx=T_{b}x by The Riesz Representation Theorem for a Real Hilbert Space §uniqueness; the map is therefore unique.

The map TbT_{b} is linear: for x,x,yHx,x',y\in H and λR\lambda\in\mathbb{R}, Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction §form and conditions (b) and (c) of Real Inner Product Space §inner-product give

Tb(x+x),y=b(x+x,y)=b(x,y)+b(x,y)=Tbx+Tbx,y,Tb(λx),y=b(λx,y)=λb(x,y)=λTbx,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 yHy\in H, whence Tb(x+x)=Tbx+TbxT_{b}(x+x')=T_{b}x+T_{b}x' and Tb(λx)=λTbxT_{b}(\lambda x)=\lambda\,T_{b}x by The Riesz Representation Theorem for a Real Hilbert Space §uniqueness. It is bounded: for xHx\in H,

Tbx2=Tbx,Tbx=b(x,Tbx)b(x,Tbx)bxTbx,|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 Space §norm, 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 §bound. If Tbx=0HT_{b}x=0_{H} then Tbx=0bx|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 §vanishing, and multiplying the displayed inequality by the nonnegative number Tbx1|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 Tbxbx|T_{b}x|\le\lVert b\rVert\,|x|. In either case TbL(H)T_{b}\in\mathcal{L}(H) by Bounded Linear Maps and Bounded Linear Functionals on Real Inner Product Spaces, and the Operator Norm §bounded.

Claim 2. For x,yHx,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 §form,

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 Tbxbx|T_{b}x|\le\lVert b\rVert\,|x| established in claim 1 holds for every xHx\in H, and 0b0\le\lVert b\rVert, so Elementary Properties of Bounded Linear Maps and Functionals on Real Inner Product Spaces §bound gives Tbb\lVert T_{b}\rVert\le\lVert b\rVert. Conversely, for all x,yHx,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 §bound and claim 5 of Elementary Arithmetic in an Ordered Field give

b(x,y)=Tbx,yTbxyTbxy,\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 bTb\lVert b\rVert\le\lVert T_{b}\rVert by Elementary Properties of Bounded Symmetric Bilinear Forms: Norm, Quadratic Form, Order and Continuity §bound, since 0Tb0\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 §identity and condition (b) of Real Inner Product Space §inner-product, for all x,yHx,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 Space §inner-product in place of (b), gives Tλb1=λTb1T_{\lambda b_{1}}=\lambda\,T_{b_{1}}. Furthermore I(x,y)=x,y=idHx,yI(x,y)=\langle x,y\rangle=\langle\mathrm{id}_{H}x,y\rangle and (cI)(x,y)=cx,y=cx,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 §identity and condition (c), while 0Sym(x,y)=0=0H,y0_{\mathrm{Sym}}(x,y)=0=\langle 0_{H},y\rangle by Elementary Identities in a Real Inner Product Space §zero; the uniqueness in claim 1 gives TI=idHT_{I}=\mathrm{id}_{H}, TcIx=cxT_{cI}x=c\,x and T0Symx=0HT_{0_{\mathrm{Sym}}}x=0_{H} for every xHx\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 Space §inner-product. 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 §bound and claim 5 of Elementary Arithmetic in an Ordered Field give Tx,yTxyTxy|\langle Tx,y\rangle|\le|Tx|\,|y|\le\lVert T\rVert\,|x|\,|y| for all x,yHx,y\in H. Hence bTSym(H)b_{T}\in\mathrm{Sym}(H) by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction §form. Since bT(x,y)=Tx,yb_{T}(x,y)=\langle Tx,y\rangle for all x,yHx,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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