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Reproducing property, Bergman projection and the extremal characterization
Statement
Assume (The Axiom of Countable Choice ()), let , and let be a nonempty open set. Write for the Riesz section at , and let be the Hilbert orthogonal projection. Then for every :
- For every , .
- For every , ; is linear, self-adjoint and contractive, and for .
- and for every . If , the maximizers in the supremum are exactly with ; if , every member of the closed unit ball attains the supremum, which is .
Facts & Assumptions
The only choice principle is , inherited through the Bergman Hilbert-space structure and the orthogonal-decomposition and projection suppliers; no full Axiom of Choice is used (The Axiom of Countable Choice ()).
is a closed complex linear subspace of the Hilbert space , with the first-variable-linear integral pairing and unique holomorphic representatives (The Bergman space and the Bergman kernel, is closed, and the Bergman kernel is the sum over any complete orthonormal system).
For a closed subspace of a Hilbert space, each has a unique decomposition with and ; is the Hilbert orthogonal projection and is the identity on (Orthogonal decomposition by a closed subspace, The Hilbert orthogonal projection onto a closed subspace).
The Hilbert orthogonal projection is linear, self-adjoint and contractive (Hilbert projections are linear, self-adjoint and contractive).
Evaluation at has unique Riesz representer , , and (The Bergman space and the Bergman kernel).
Cauchy–Schwarz gives , with equality exactly when the pair is linearly dependent (Cauchy–Schwarz: , with equality exactly for dependent pairs).
Proof
Given: , a nonempty open , its Bergman space , and .
By [F4], evaluation at is represented by , so for each , . The definition gives the stated reproducing integral.
By [F1], is a closed subspace of , so [F2] defines its unique orthogonal projection . The projection lemma [F3] gives linearity, self-adjointness and contractivity; [F2] also gives for .
For , [F2] gives and by [F4]. Hence . Applying step 1.1 to and using linearity in the first variable, ; expanding as gives the displayed integral.
Applying step 1.1 to gives . For any , [F4] and [F5] imply , so the supremum over the unit ball is at most . If , the unit vector attains this bound. Any other maximizer must give equality in [F5], hence is linearly dependent on ; its norm must be , so it is exactly with . If , step 1.1 gives for every , so the supremum is and every function in the unit ball attains it.
Depends on
- The Bergman space $A^2(\Omega)$ and the Bergman kernel
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The Hilbert orthogonal projection onto a closed subspace
- Hilbert projections are linear, self-adjoint and contractive
- $A^2(\Omega)$ is closed, and the Bergman kernel is the sum over any complete orthonormal system
- Cauchy–Schwarz: $|\langle x,y\rangle|\le\|x\|\,\|y\|$, with equality exactly for dependent pairs
- Orthogonal decomposition by a closed subspace
Used by
- The disc Bergman kernel from its monomial basis, with a reproducing check Example
- Smoothness of the Bergman kernel and positivity of its diagonal on bounded domains Lemma
- Bergman kernels of the disc, ball and polydisc, and Szegő kernels of the disc and ball Theorem
- Transformation law of the Bergman kernel under a biholomorphism Theorem
Dependency tree · two levels
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Sources
- Zbigniew Błocki, The Bergman Kernel and Metric (lecture notes) (standard reference, not scraped)
- Jiří Lebl, Tasty Bits of Several Complex Variables (book) (standard reference, not scraped)