For each the form is a bounded linear functional, so the Riesz representation theorem produces a unique vector ; uniqueness of the representing vector then gives linearity of and of the correspondence, and the two norm inequalities give the isometry.
Throughout we use that for every and for every : 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 is therefore a lower bound. We also use the symmetry of Real Inner Product Spaces (i) without comment.
Claim 1. Let and fix . The map given by is a linear functional: for and , the symmetry, additivity and homogeneity of Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (i) give
It is bounded, since by Elementary Properties of Bounded Symmetric Bilinear Forms: Norm, Quadratic Form, Order and Continuity (ii), so that the constant 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 with for every , and by The Riesz Representation Theorem for a Real Hilbert Space (ii) such a is unique. Setting for each defines a map with for all . If is any map with this property, then for each we have for every , so by The Riesz Representation Theorem for a Real Hilbert Space (ii); the map is therefore unique.
The map is linear: for and , 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
for every , whence and by The Riesz Representation Theorem for a Real Hilbert Space (ii). It is bounded: for ,
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 then , the last inequality by claim 5 of Elementary Arithmetic in an Ordered Field. Otherwise is positive by Elementary Identities in a Real Inner Product Space (iii), and multiplying the displayed inequality by the nonnegative number (claim 5 of Elementary Arithmetic in an Ordered Field, with claim 7 of Elementary Order Arithmetic in an Ordered Field for its positivity) gives . In either case by Bounded Linear Maps and Bounded Linear Functionals on Real Inner Product Spaces, and the Operator Norm (i).
Claim 2. For , using claim 1 and the symmetry of Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (i),
Claim 3. The bound established in claim 1 holds for every , and , so Elementary Properties of Bounded Linear Maps and Functionals on Real Inner Product Spaces (i) gives . Conversely, for all , 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
so by Elementary Properties of Bounded Symmetric Bilinear Forms: Norm, Quadratic Form, Order and Continuity (ii), since . The order of is antisymmetric, being a total order, so .
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 ,
Since is a map from to representing in the sense of claim 1, the uniqueness there gives . The same argument, with condition (c) of Real Inner Product Spaces (i) in place of (b), gives . Furthermore and by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (iv) and condition (c), while by Elementary Identities in a Real Inner Product Space (ii); the uniqueness in claim 1 gives , and for every .
Claim 5. The map is symmetric, since by hypothesis. It is additive and homogeneous in its first argument, because 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 for all . Hence by Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction (i). Since for all , the map represents in the sense of claim 1, so by the uniqueness there.
Loading…