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The Hardy boundary space, Szegő projection and Szegő kernel on a smoothly bounded domain
Facts & Assumptions
Under The Axiom of Countable Choice (), complex with the pairing is a Hilbert space, with the pairing linear in its first variable and conjugate symmetric (The complex pairing on equivalence classes, with the integral pairing is a Hilbert space).
Under The Axiom of Countable Choice (), every closed linear subspace of a Hilbert space has an orthogonal projection, determined by the unique orthogonal decomposition (Orthogonal decomposition by a closed subspace, The Hilbert orthogonal projection onto a closed subspace).
Under The Axiom of Countable Choice (), every bounded linear functional on a Hilbert space has a unique Riesz representer, with in the first-variable-linear convention (Riesz representation for Hilbert spaces).
Definition
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let , let be a nonempty bounded connected open set with boundary (Bounded C1 domains and their outward normals), let be its boundary surface measure (Surface integration on compact C1 hypersurfaces), and fix a normalization with . Give the first-variable-linear pairing from The complex pairing on equivalence classes. For , its boundary trace is an class because is compact and is finite. Set
The space is linear, and is a closed linear subspace of the Hilbert space by [F1]. The Szegő projection is the orthogonal projection
which exists by [F2].
Call Szegő-regular if, for every , the rule is well-defined and bounded on in the norm, and its unique continuous extension has the property that is holomorphic on for every . Boundedness and density make each unique. By [F3], there is a unique such that
For a Szegő-regular pair define its Szegő kernel by . Then is the reproducing identity, , and conjugate symmetry of the inner product gives . The regularity condition makes the kernel holomorphic in ; conjugate symmetry makes it antiholomorphic in . The assumption is used through the Hilbert-space, projection and Riesz suppliers in [F1]–[F3]; no stronger choice principle is asserted. No Szegő construction is claimed for boundaries that are not hypersurfaces, including the polydisc when .
Proof
Given: , the bounded domain , the finite measure , and the spaces and just defined.
The space is linear, so its closure is a closed linear subspace of . By [F1] the ambient space is a Hilbert space with the stated pairing; therefore the closed subspace is itself a Hilbert space.
The orthogonal-decomposition theorem in [F2] gives each a unique component, and The Hilbert orthogonal projection onto a closed subspace defines to be that component.
For a Szegő-regular pair each is a bounded linear functional on the Hilbert space from step 1.1, so [F3] gives its unique representing vector and the stated reproducing identity.
The definition gives ; conjugate symmetry of the pairing in [F1] gives . The regularity condition makes holomorphic, and this symmetry makes antiholomorphic.
Depends on
- Bounded C1 domains and their outward normals
- Surface integration on compact C1 hypersurfaces
- Holomorphic functions on an open subset of $\mathbb{C}^m$
- The Hilbert orthogonal projection onto a closed subspace
- Orthogonal decomposition by a closed subspace
- The complex $L^2$ pairing on equivalence classes
- $L^2$ with the integral pairing is a Hilbert space
- Riesz representation for Hilbert spaces
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
- Ball monomial norms, Bergman and Szegő kernels of the ball Example
- Bergman versus Szegő normalization on the disc Example
- The polydisc Bergman product and the different distinguished-torus Hardy kernel Example
- The polydisc boundary is not a smooth hypersurface, so the Szegő definition does not apply Example
- Polynomial traces, monomial basis and bounded evaluation for the ball Hardy space Lemma
- The disc trace space is the Hardy boundary space and the Szegő family reproduces H² Lemma
- Bergman kernels of the disc, ball and polydisc, and Szegő kernels of the disc and ball Theorem
Dependency tree · two levels
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Sources
- Jiří Lebl, Tasty Bits of Several Complex Variables (standard reference, not scraped)