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A bounded form is represented by a unique bounded operator
Statement
Assume Countable Choice (The Axiom of Countable Choice ()), used through Riesz representation for Hilbert spaces. Let be a real or complex Hilbert space and let be a bounded sesquilinear form on with bound in the sense of Bounded, coercive and symmetric sesquilinear forms. Then there is a unique bounded linear operator with and ; if is the least bound of then . The map is linear, and is coercive with constant if and only if for all . For the adjoint form one has , where is the Hilbert adjoint of The Hilbert-space adjoint of a bounded operator.
Facts & Assumptions
Given: Countable Choice; a real or complex Hilbert space with inner product linear in the first argument and conjugate-linear in the second; a sesquilinear form on , linear in the first argument and conjugate-linear in the second, with bound .
Bounded and sesquilinear: , , , and for all (Bounded, coercive and symmetric sesquilinear forms).
Inner-product facts: , positive definiteness (so a vector orthogonal to all of is ), and Cauchy--Schwarz ; the inner product is linear in the first slot and conjugate-linear in the second (Real and complex inner-product spaces and their induced length, Cauchy–Schwarz: , with equality exactly for dependent pairs, Hilbert space).
Riesz representation under Countable Choice: every bounded linear functional on has a unique with for all , and (Riesz representation for Hilbert spaces, The Axiom of Countable Choice (), The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
Bounded operators and the operator norm: is bounded when some has , and is its least bound (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
Hilbert adjoint: there is a unique with for all (The Hilbert-space adjoint of a bounded operator, Hilbert-adjoint identities).
Proof
For fixed the map is linear in and bounded: and, more generally, conjugate-linearity of in the second slot makes additive, while shows that .
Riesz representation defines : by [F3] there is a unique with for every , that is , and . Conjugating the representing identity with the conjugate symmetry of the inner product gives for all ; so every is assigned a unique vector with for all , and in particular .
is linear: for scalars and , first-slot linearity of gives for every , hence by linearity of the inner product in its first slot, and positive definiteness forces . Therefore is linear and, by step 2.1, bounded with .
is unique: if also satisfies for all , then for every , and positive definiteness gives for every , that is . The assignment is linear: for forms with operators and a scalar , for all , so by the same uniqueness argument.
Least bound and coercivity: if is the least bound of , then for all one has , so is itself a bound of and ; with step 3.1 this gives . Also, substituting in gives coercive with constant if and only if for every .
Adjoint form: for all , by conjugate symmetry of the inner product and the defining identity of the Hilbert adjoint; hence the adjoint form is represented by .
Depends on
Bounded, coercive and symmetric sesquilinear forms
A bounded linear operator between normed spaces
The Axiom of Countable Choice ()
Hilbert space
The Hilbert-space adjoint of a bounded operator
The operator norm as the least bound and as the unit-sphere or unit-ball supremum
Real and complex inner-product spaces and their induced length
Cauchy–Schwarz: , with equality exactly for dependent pairs
Hilbert-adjoint identities
Riesz representation for Hilbert spaces
Dependency tree · 2 levels
Sources
- Richard S. Laugesen, Linear Analysis and Partial Differential Equations (University of Illinois, 2020, complete 158-page graduate notes)
- Leon Simon, Lectures on Partial Differential Equations (Stanford, complete 223-page author scan)
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations (Springer Universitext, 2011, complete 614-page text)