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§10.3 The Bergman Kernel

10.3 The Bergman Kernel

Fix Ω be an open region and let 𝑧0∈Ω be fixed. Then let 𝐴2(Ω) be the Hilbert space of square integrable holomorphic functions on Ω. Recall Example 10.1.15Example 10.1.15Example 10.1.15:

Example 10.1.15 (Bergman Space).

Let Ω⊆ℂ be an open region. Let

𝐴2(Ω)={𝑓holomorphic onΩ:∬Ω|𝑓(𝑧)|2d𝑥d𝑦<∞}.

Then 𝐴2(Ω) is a vector space over ℂ with the standard definition of addition and scalar multiplication. Then the inner product defined by

⟨𝑓,𝑔⟩=∬Ω𝑓(𝑧)𝑔(𝑧)‾d𝑥d𝑦where𝑧=𝑥+i𝑦(10.3.1)
for any two 𝑓,𝑔∈𝐴2(Ω) defines a Hilbert space with 𝐴2(Ω).

For each 𝑓∈Ω, Proposition 10.1.16Proposition 10.1.16Proposition 10.1.16 gives:

|𝑓(𝑧0)|≤1𝑟π‖𝑓‖.

Moreover, the mapping 𝜙 between 𝐴2(Ω) and ℂ given by

𝜙:𝑓(∈𝐴2(Ω))↦𝑓(𝑧0)(∈ℂ)

is a bounded linear functional on 𝐴2(Ω): linearity is trivial and boundedness follows from Proposition 10.1.16Proposition 10.1.16Proposition 10.1.16. Then by the Riesz Representation Theorem (Theorem 10.1.36Theorem 10.1.36Theorem 10.1.36), there as a unique 𝑘𝑧0∈𝐴2(Ω), dependent on 𝑧0 but not 𝑓∈𝐴2(Ω), such that

𝑓(𝑧0)=𝜙(𝑓)=⟨𝑓,𝑘𝑧0⟩.(for all𝑓∈𝐴2(Ω))

Then

𝑓(𝑧0)=∬Ω𝑓(𝜁)𝑘𝑧0(𝜁)‾d𝜉d𝜂.(where𝜁=𝜉+i𝜂)

Definition 10.3.1 (Bergman Kernel).

Let Ω be an open region, define the Bergman kernel to be a complex function 𝐾(𝑧,𝑤) of two variables in 𝐴2(Ω), given by 𝐾(𝑧,𝑤)=𝑘𝑧(𝑤)‾, where 𝑘𝑧(𝑤) is the unique Riesz representer for the linear functional 𝑓↦𝑓(𝑧).

Then the previous equation is simply

𝑓(𝑧0)=∬Ω𝑓(𝜁)𝐾(𝑧0,𝜁)d𝜉d𝜂.(∗)

Theorem 10.3.2 (Conjugate-symmetry of the Bergman Kernel).

For any 𝑧,𝑤∈Ω,

𝐾(𝑧,𝑤)=𝐾(𝑤,𝑧)‾.
Proof.

By the integral representation in (∗)Part 2Part 2, ∀𝑧,𝑤∈Ω, letting 𝑓=𝑧↦𝐾(𝑤,𝑧)‾=𝑘𝑤(𝑧),

𝐾(𝑤,𝑧)‾=𝑘𝑤(𝑧)=∬Ω𝑘𝑤(𝜁)𝑘𝑧(𝜁)‾d𝜉d𝜂=∬Ω𝑘𝑧(𝜁)𝑘𝑤(𝜁)‾d𝜉d𝜂‾=𝑘𝑧(𝑤)‾=𝐾(𝑧,𝑤)‾‾=𝐾(𝑧,𝑤),(by(∗)Part 2Part 2)
proving the assertion. ⁠□

Corollary 10.3.2.1.

The Bergman Kernel 𝐾(𝑧,𝑤) is holomorphic in the first argument: 𝜕𝜕𝑧‾𝐾(𝑧,𝑤)=0 for all 𝑧∈Ω.
Proof.Since 𝐾(𝑤,𝑧)‾=𝑘𝑤(𝑧) is holomorphic in 𝑧, it follows from Theorem 10.3.2Theorem 10.3.2Theorem 10.3.2 that 𝐾(𝑧,𝑤) is holomorphic in 𝑧. ⁠□

Moreover, certain properties of the Bergman kernel that we have discussed previously uniquely determine the Bergman kernel:

Theorem 10.3.3 (Reproducing Property of 𝐾(⋅,⋅)).

If 𝐾̃:Ω2→ℂ satisfies 𝑤↦𝐾̃(𝑧,𝑤)‾∈𝐴2(Ω) for each 𝑧∈Ω, and if for all 𝑓∈𝐴2(Ω),

𝑓(𝑧)=∬Ω𝑓(𝜁)𝐾̃(𝑧,𝜁)d𝜉d𝜂,
then 𝐾̃≡𝐾 on Ω2.
Proof.

Let 𝑓 be the Bergman kernel 𝜁↦𝐾(𝜁,𝑤) (holomorphic in the left argument by Corollary 10.3.2.1Corollary 10.3.2.1Corollary 10.3.2.1). Then ∀𝑧,𝑤∈Ω,

𝐾(𝑧,𝑤)=∬Ω𝐾(𝜁,𝑤)𝐾̃(𝑧,𝜁)d𝜉d𝜂=∬Ω𝐾̃(𝑧,𝜁)‾𝐾(𝑤,𝜁)d𝜉d𝜂‾(byTheorem 10.3.2Theorem 10.3.2Theorem 10.3.2)=𝐾̃(𝑧,𝑤)‾‾,
where the last step uses (∗)Part 2Part 2 and 𝜁↦𝐾̃(𝑧,𝜁)‾∈𝐴2(Ω). Therefore, 𝐾(𝑧,𝑤)=𝐾̃(𝑧,𝑤)⟹𝐾≡𝐾̃ on Ω2. ⁠□

Therefore, in the search of a Bergman kernel for a specified domain, if one can construct a function satisfying the properties outlined in Theorem 10.3.3Theorem 10.3.3Theorem 10.3.3, then one can ascertain that it is the Bergman kernel.

Theorem 10.3.4.

Let 𝐴2(Ω) be the Bergman space of square-integrable functions on any open region Ω⊆ℂ. Then 𝐴2(Ω) has a complete countable orthonormal system {𝑒𝑗}.

(There are several approaches to prove this theorem.)

Proof.

Enumerate

Ω∩(ℚ+iℚ)={𝑧𝑛}𝑛∈ℕ⊆Ω,

such that {𝑧𝑛}𝑛‾=Ω‾, or in other words {𝑧𝑛}𝑛 is countable dense in Ω. For each fixed 𝑛∈ℕ, 𝑓↦𝑓(𝑧𝑛) is a bounded linear functional by Proposition 10.1.16Proposition 10.1.16Proposition 10.1.16. Then let 𝑘𝑧𝑛∈𝐴2(Ω) be its unique Riesz representer, so that

𝑓(𝑧𝑛)=⟨𝑓,𝑘𝑧𝑛⟩

for every 𝑓∈𝐴2(Ω). Define 𝑆=span{𝑘𝑧𝑛}𝑛‾, which is Hilbert space in 𝐴2(Ω). Suppose 𝑓∈𝑆⟂. Then for any 𝑛∈ℕ,

𝑓(𝑧𝑛)=⟨𝑓,𝑘𝑧𝑛⟩=0.

Because {𝑧𝑛} has an accumulation point in Ω and 𝑓(𝑧𝑛)=0 for each 𝑛, by the Identity Theorem (Theorem 3.3.3Theorem 3.3.3Theorem 3.3.3), 𝑓≡0. Then 𝑆⟂={0}. Since 𝑆 is closed, any 𝑓∈𝐴2(Ω) can be decomposed, by Theorem 10.1.28Theorem 10.1.28Theorem 10.1.28, into 𝑓1+𝑓2, where 𝑓1∈𝑆 and 𝑓2∈𝑆⟂={0}. Then 𝑓∈𝑆, implying 𝐴2(Ω)=𝑆; then 𝑘𝑧𝑛 densely spans 𝐴2(Ω).

For any 𝑓∈𝐴2(Ω) for any 𝜀>0, choose

𝑓̃=∑𝑗=1𝑙𝑐𝑗𝑘𝑧𝑛𝑗

such that ‖𝑓̃−𝑓‖<𝜀2. Letting 𝑐𝑗̃∈ℚ+iℚ be chosen such that

|𝑐𝑗−𝑐𝑗̃|<𝜀2𝑙max{1,max𝑗‖𝑘𝑧𝑛𝑗‖}

and letting

𝑓̃̃=∑𝑗=1𝑙𝑐𝑗̃𝑘𝑧𝑛𝑗,

we see that

‖𝑓̃−𝑓̃̃‖=‖∑𝑗=1𝑙(𝑐𝑗−𝑐𝑗̃)𝑘𝑧𝑛𝑗‖≤∑𝑗=1𝑙𝜀2𝑙max{1,max𝑗‖𝑘𝑧𝑛𝑗‖}‖𝑘𝑧𝑛𝑗‖≤𝜀2,

whence

‖𝑓−𝑓̃̃‖≤‖𝑓̃−𝑓‖+‖𝑓̃−𝑓̃̃‖<𝜀.

Therefore, any 𝑓∈𝐴2(Ω) can be arbitrarily approximated by an element in

{∑𝑗=1𝑙𝑐𝑗̃𝑘𝑧𝑛𝑗:𝑙∈ℕ,(∀𝑗∈ℕ≤𝑙)𝑛𝑗∈ℕ,𝑐𝑗∈ℚ+iℚ},

which is countable (see equivalent justification in the proof of Proposition 10.2.8Proposition 10.2.8Proposition 10.2.8; essentially the set ⋃𝑙=1∞ℕ𝑙×(ℚ+iℚ)𝑙 is countable). Therefore Proposition 10.2.8Proposition 10.2.8Proposition 10.2.8 implies, from separability, the existence of a complete countable orthonormal system.

⁠□

Proof (Alternative).A reader who has learned measure theory could note that 𝐿2(Ω) is a separable Hilbert space, and by Theorem 10.2.9Theorem 10.2.9Theorem 10.2.9, 𝐴2(Ω) is separable and has a complete countable orthonormal system by Proposition 10.2.8Proposition 10.2.8Proposition 10.2.8. ⁠□