Sobolev mapping of some holomorphic projections
L.D. Edholm, J.D. McNeal

TL;DR
This paper investigates the Sobolev regularity of the Bergman projection on certain complex domains, revealing improved estimates for a sub-projection on the Hartogs triangle, thus advancing understanding of holomorphic projections' regularity.
Contribution
It demonstrates Sobolev irregularity for the Bergman projection on specific domains and establishes better Sobolev estimates for a sub-Bergman projection on the Hartogs triangle.
Findings
Sobolev irregularity of the Bergman projection on certain domains.
Enhanced Sobolev estimates for a sub-Bergman projection on the Hartogs triangle.
Insights into the regularity properties of holomorphic projections.
Abstract
Sobolev irregularity of the Bergman projection on a family of domains containing the Hartogs triangle is shown. On the Hartogs triangle itself, a sub-Bergman projection is shown to satisfy better Sobolev norm estimates than its Bergman projection.
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Sobolev mapping of some holomorphic projections
L. D. Edholm & J. D. McNeal
Department of Mathematics,
University of Michigan, Ann Arbor, Michigan, USA
Department of Mathematics,
The Ohio State University, Columbus, Ohio, USA
Abstract.
Sobolev irregularity of the Bergman projection on a family of domains containing the Hartogs triangle is shown. On the Hartogs triangle itself, a sub-Bergman projection is shown to satisfy better Sobolev norm estimates than its Bergman projection.
2010 Mathematics Subject Classification:
32A36, 32A25, 32W05
1. Introduction
If is an open set, , and , let denote the usual Sobolev space of order : the measurable functions such that
[TABLE]
is finite, where derivatives are interpreted in the distributional sense.
This paper continues investigations from [19], [20] by demonstrating irregularity in the Sobolev spaces for the Bergman projection associated to domains defined in (1.2) below. These generalize the Hartogs triangle, which is in (1.2).
The Bergman projection, , orthogonally projects onto the closed subspace , denoting holomorphic functions. On , is represented as an integral operator
[TABLE]
where denotes Lebesgue measure and is the Bergman kernel. If let (1.1) define , whenever the integral converges. For many classes of pseudoconvex domains, precise pointwise estimates on were obtained and shown to imply for all and . See [12, 23, 25, 26, 27, 30, 31]. Thus is -regular in these cases. In the special case , regularity for all was shown in [8] whenever has a plurisubharmonic defining function, without establishing pointwise estimates on . This result was generalized in [9, 24]. However regularity does not always hold. This irregularity was discovered in connection to Condition of Bell-Ligocka [5, 6]: it is shown in [4] that is irregular on , for large , on the pseudoconvex “worm” domains given in [16].
The irregularity of demonstrated in [19, 20] is somewhat different. It occurs on the Lebesgue spaces for certain and does not involve derivatives. For , define
[TABLE]
In [20] it is shown that the Bergman projection on , for any , is a degenerate operator, bounded only for in a proper subinterval of . In particular the situation on is that boundedly if and only if ; see Theorem 3.1 below for the general situation. The limited range of boundedness has consequences for approximation and duality theory in , see [10]. Similar consequences hold when irregularity can be characterized on norm scales other than .
It turns out is very degenerate as an Sobolev map.
Theorem 1.3**.**
Let and denote the Bergman projection on .
- (1)
* fails to map , for an integer.*
- (2)
Let . Then fails to map for
[TABLE]
also exhibits some regularity in Sobolev norms, but only on :
Theorem 1.4**.**
* maps boundedly, for .*
Notice the range on , for boundedness on , is smaller than the range for boundedness on . More general statements than Theorem 1.4 can be made – for separate directional derivatives and on domains other than – but these do not yield boundedness theorems on the full Sobolev spaces ; see Section 4.
Proving Theorems 1.3 and 1.4 requires understanding how derivatives commute past the Bergman projection. An initial difficulty is that is not smoothly bounded, so Stokes’ theorem cannot be applied in the usual way, e.g., as in [28, Lemma 3], [29, Proposition 3.3], or [30, Lemma 5.1]. We circumvent this by applying Stokes theorem on appropriately chosen discs and annuli intersecting . Theorem 1.3 is proved in Section 3. After developing some general tools, Theorem 1.4 is proved as Corollary 4.19 in Section 4. To partially repair irregularity described by Theorem 1.3, substitute operators related to are considered in Section 5.
There are other papers showing Bergman irregularity on , for specific pseudoconvex : [1, 11, 13, 34]. A unifying result, explaining irregularity in these cases and [19, 20], is lacking. A weighted regularity result on , , related to Theorem 1.3, was obtained in [14]. See also the paper [2] for a nonpseudoconvex domain with -irregularity of its Bergman projection.
When and are expressions involving several variables, write to mean for a constant independent of certain of these variables. The independence of which variables is specified in use. means holds.
2. Sobolev regularity in one variable
Let denote the unit disc. The Bergman projection is bounded from for all and . This is well-known when , apparently first proved in [33] using singular integral operator theory; see [17, Chapter 2]. For any , a proof modeled on arguments in [28] is given below. This serves as a template for the proof of Theorem 1.4.
The Bergman kernel of is
[TABLE]
Note can be viewed as a function of .
2.1. boundedness
A family of integral estimates will be used. When , the result is often called the Forelli-Rudin lemma; see [21], [32], or [35] for the ‘standard’ proof, based on asymptotics of the gamma function. Different proofs are given in [19], [20], [13], which also address .
Lemma 2.2**.**
Let be the unit disc, and . Then for ,
[TABLE]
for a constant independent of .
A general version of Schur’s Lemma will also be used. The next result extends Lemma 2.4 from [19].
Lemma 2.3**.**
Let be a domain and a kernel function. Suppose there is an auxiliary function and numbers , such that the following two estimates hold: For all ,
[TABLE]
and for all ,
[TABLE]
Then the operator , , maps for all p in the range
[TABLE]
Proof.
Let , and . Then
[TABLE]
The first inequality follows from Hölder’s inequality, the second from (2.4). Now
[TABLE]
When may chosen so that also , estimate (2.5) implies
[TABLE]
and thus boundedly. The existence of such an is equivalent to saying both the inequalities and hold. This is equivalent to saying (2.6) holds, as claimed. ∎
Lemmas 2.2 and 2.3 suffice to show boundedness of .
Corollary 2.8**.**
The Bergman projection maps to for all .
In fact, the operator whose kernel is is bounded on for .
Proof.
Lemma 2.3 is used with and as the auxiliary function. Lemma 2.2 shows that estimate (2.4) holds for all . Since is conjugate symmetric, (2.4) is equivalent to (2.5) with and . Lemma 2.3 then gives the claimed boundedness by setting and sending . ∎
2.2. Integration by parts
Define the vector field
[TABLE]
and write to mean composed times. If , clearly . If, in addition, , a partial converse holds: if , then for a constant independent of .111A version of this also holds in several variables. See, e.g., [7, 3, 22] for a statement of the result, as well as elementary proofs for . For general , see [15]. This holds since any first derivative can be written as a linear combination on , for bounded functions and .
The crucial property satisfies is
Proposition 2.10**.**
* annihilates radial functions of .*
Proof.
A radial function can be written as , where . Therefore
[TABLE]
∎
Recall that is a defining function for if and when . Proposition 2.10 implies, in particular, that annihilates defining functions of discs and annuli centered at the origin along their boundaries. An integration by parts result follows:
Proposition 2.11**.**
Let be either a disc or an annulus centered at the origin. Then if ,
[TABLE]
Proof.
Choose a defining function for with for all . Stokes’ theorem yields
[TABLE]
Here denotes induced surface measure on . The last boundary integral vanishes since on . ∎
2.3. boundedness for
Theorem 2.12**.**
The Bergman projection is a bounded operator from for all and .
Proof.
Fix and let . Since , only holomorphic derivatives need to be estimated. For ,
[TABLE]
The last equality follows because can be viewed as a function of the variable . Define a new kernel , obtained by subtracting away the -Taylor approximation of in the variable, i.e.,
[TABLE]
Since and differ by terms annihilated by and is anti-holomorphic in ,
[TABLE]
The last equality follows from Proposition 2.11.
The modified kernel satisfies a stronger estimate than . Indeed, equation (2.14) shows
[TABLE]
for a constant independent of . This can be used to counteract the factor appearing in (2.13). Thus
[TABLE]
Since , Corollary 2.8 says that (2.15) defines an function. This implies .
For any positive integer , the same argument – but for the modified kernel – shows . Thus ∎
3. Sobolev irregularity
The starting point is the characterization of boundedness of the Bergman projection on .
Theorem 3.1** ([20]).**
Let be defined in (1.2), denote the Bergman projection on , and .
- (1)
Let , with .
Then is bounded if and only if .
- (2)
Let be irrational.
Then is bounded if and only if .
Let \big{(}\lambda(m,n),\rho(m,n)\big{)}=\left(\frac{2m+2n}{m+n+1},\frac{2m+2n}{m+n-1}\right) denote the interval of boundedness in (1) above. When is fixed, denote this also as .
Some ingredients in the proof of Theorem 3.1 are used to prove the irregularity statements in Theorem 1.3. Only consider and let . An index is -allowable if the monomial , where is either or . This set can be characterized:
Lemma 3.2** ([20], eq. (3.3)).**
Let . The -allowable indices are
[TABLE]
See also Lemma 4.4 in [10]. Here the greatest integer . In particular, the monomials are
[TABLE]
As notation for the ray bounding the sets , let
[TABLE]
A consequence of orthogonality is also essential.
Lemma 3.4** ([20], Proposition 5.1).**
If both , then
[TABLE]
for a constant .
The unboundedness statements in Theorem 3.1 for (defined above) are proved as follows. Let .
**(A): **
Choose with .
**(B): **
Lemma 3.2 implies .
**(C): **
Let ; Lemma 3.4 says . Thus , while .
Duality implies the same conclusion if .
The heart of this argument works on Sobolev spaces. But one piece is not transferable: if , the operator is not self-adjoint in the inner product. As a result, knowing that is unbounded on does not automatically imply that is unbounded on , where . Whether this fact actually allows regularity of on for small , e.g., , in cases where is unbounded on is uncertain.
However for large , regularity certainly does not hold:
Theorem 3.5**.**
Let , and non-negative integers. The operator fails to map for any
[TABLE]
Proof.
Starting from equation (3.3), choose with and , i.e., . Clearly
[TABLE]
To see when this is an function, compute
[TABLE]
where is the Reinhardt shadow of , i.e., . The integral in (3.8) is finite if and only if the exponent on the integrand . This is equivalent to saying
[TABLE]
Now consider the monomial . Lemma 3.4 says . Thus , while for those satisfying (3.6). ∎
Remark 3.10*.*
Theorem 3.5 recovers the unboundedness range given in Theorem 3.1 part (1). When , the right hand side of (3.6) is simply . Since is self-adjoint, it must also be unbounded for .
In particular, Theorem 3.5 implies Theorem 1.3 from the Introduction.
Corollary 3.11**.**
Let be an integer and . The Bergman projection fails to map .
Proof.
If , then . ∎
The notion of a lattice point diagram associated to the domains was introduced in [20]. The diagrams record exponents of all monomials , as varies. These diagrams are thus Newton diagrams, but of the entire space rather than of an individual . Several lattice point diagrams succinctly illustrate Theorem 3.5 and Corollary 3.11.
\alpha_{1}$$\alpha_{2}$$L^{2}$$L^{4/3}$$L^{2}$$L^{3/2}$$L^{6/5}$$\,\,\,\,\,\,L^{2}$$\,\,L^{3/2}$$L^{6/5}\,\,\,\,\,$$\partial_{1}$$\partial_{2}(0,0)\gamma=\frac{1}{2}$$\gamma=1$$\gamma=2
Three lattice point diagrams on , corresponding to , are shown. The indices are exactly those lattice points on and above the line labeled for the corresponding . The dotted lines, labeled , are lines parallel to their corresponding lines but passing through the lattice points in . Any lattice point strictly below the dotted lines correspond to monomials for the given .
Notice that (up to a constant) derivatives of fourth quadrant monomials are represented by a shift left and derivatives by a shift down in the lattice point diagram. These operations are labeled in the diagram. The content of Corollary 3.11 is easily seen in this lattice point diagram: monomials on the line are driven below to a corresponding line by a single application of or . The more precise Theorem 3.5 may also be visualized in this way.
Remark 3.12*.*
The precise non-isotropic (in terms of derivatives) irregularity in Theorem 3.5 seems noteworthy. The two derivative operations are not symmetric with respect to how they drive monomials out of the boundedness interval , depending on whether or . This is very clear in the diagrams: if (a “fat Hartogs triangle” in the terminology of [18]) more derivatives are allowed, while if (a “thin Hartogs triangle”) more derivatives are allowed.
4. Sobolev regularity
A class of kernels on the domains , containing the Bergman kernel and its derivatives, can be analyzed via Lemma 2.3. The next result generalizes Proposition 4.2 of [20], which required .
Lemma 4.1**.**
Let be an integral kernel satisfying
[TABLE]
and let be the operator defined by .
Suppose the following conditions on and hold:
[TABLE]
Then is bounded operator for all satisfying
[TABLE]
Remark 4.5*.*
If the exponent , the upper bound in (4.4) can be taken to be . This follows since for all . Similarly if , the lower bound in (4.4) is .
Note that the conditions in (4.3) are necessary to ensure the range of in (4.4) is a non-degenerate subinterval of .
Proof of Lemma 4.1.
Apply Lemma 2.3, with as the auxiliary function. The parameters and are numbers specified later in the proof. It follows that
[TABLE]
where is the punctured unit disc and the integral in brackets is taken over the region . Denote this inner integral by .
[TABLE]
after the -to- integral transformation . Lemma 2.2 yields the estimate
[TABLE]
[TABLE]
where the exponent is required to be strictly greater than in order for the integral to converge. This is equivalent to requiring
[TABLE]
At this stage, fix large enough to ensure the right hand side of (4.9) . Lemma 2.2 now applies, since . Doing this yields,
[TABLE]
as long as the exponent . This is equivalent to saying
[TABLE]
Inequalities (4.9) and (4.10) give the interval in Lemma 2.3. Indeed, it suffices to take and .
To generate the interval needed in Lemma 2.3, simply switch the roles of and in the argument above. This leads to taking and . Lemma 2.3 now gives the claimed result. ∎
4.1. Mapping of the differentiated projection
Boundedness of the Bergman projection associated to on the Sobolev space can now be given. In [18], the Bergman kernel of is computed as
[TABLE]
Throughout the section, subscripts on the projection and the kernel are dropped.
Theorem 4.12**.**
On , , it holds that
- (1)
* maps for p\in\Big{(}1,\frac{2n+2}{2n}\Big{)}.*
- (2)
* maps for .*
Proof.
The spirit is similar to the proof of Theorem 2.12. Let for , and .
[TABLE]
since is anti-holomorphic in .
The and derivatives are handled slightly differently. Consider the derivative first. Equation (4.13) says
[TABLE]
where the inner integral is over for each fixed . Since is an annulus centered at the origin, Proposition 2.11 transfers the vector field onto without picking up a boundary integral:
[TABLE]
derivatives interpreted distributionally. Since , .
By (4.11), the integral kernels in (4.15) satisfy
[TABLE]
Therefore Lemma 4.1, with , , and , shows
[TABLE]
for . This establishes part (2) of the theorem.
Consider the derivative. Equation (4.13) says
[TABLE]
where the inner integral is taken over for each fixed . Estimating this term requires more care than was necessary for the derivative. As in the proof of Lemma 2.12, define a kernel by subtracting from the term B\big{(}(0,z_{2}),(0,w_{2})\big{)}. Equation (4.11) shows
[TABLE]
Since B\big{(}(0,z_{2}),(0,w_{2})\big{)} is independent of and , may be substituted for in equation (4.16). Since is a disc centered at the origin, Proposition 2.11 applies:
[TABLE]
derivatives interpreted distributionally, as before. By hypothesis, the functions .
From (4.17), the kernels in (4.18) satisfy
[TABLE]
The last two inequalities hold because . Lemma 4.1, with , , and , shows
[TABLE]
for , establishing part (1) of the theorem. ∎
Corollary 4.19**.**
The Bergman projection is a bounded operator from , for all .
Proof.
Set in Theorem 4.12 and intersect the two intervals of boundedness. It follows that is bounded for for any first derivative . Since itself is bounded for (Theorem 3.1), the result follows. ∎
5. A substitute operator on the Hartogs triangle
In light of Theorem 1.3, it is natural to seek operators related to which have better Sobolev mapping behavior than itself. Pursuing an idea in [10], a sub-Bergman operator is constructed on with such improved behavior. is taken only for simplicity; the general pattern below extends to other domains.
Consider the set of bounded monomials on :
[TABLE]
Lemma 3.2 shows that for and . Following [10], define the sub-Bergman kernel
[TABLE]
Notice the series in (5.1) is only part of the usual series that defines the Bergman kernel. The sub-Bergman projection is
[TABLE]
whenever the integral converges; is taken from certain classes below.
A rational expression for (5.1) follows from [10, Proposition 4.33]:
[TABLE]
This immediately yields the bound
[TABLE]
Lemma 4.1 with and shows for each fixed ,
[TABLE]
Derivatives are now considered. Mapping properties of may be obtained by following the proof of Theorem 4.12 with replacing . The steps leading up to (4.15) show, for ,
[TABLE]
Thus the operator is controlled by the kernels
[TABLE]
Lemma 4.1 (and Remark 4.5) with , , , shows for each fixed ,
[TABLE]
Mapping properties of may be obtained by considering
[TABLE]
Simple estimation shows satisfies a stronger estimate than (5.3):
[TABLE]
Repeating the steps from (4.16) through (4.18) – with replacing – shows, for ,
[TABLE]
Thus the operator is controlled by the kernels
[TABLE]
This bound is identical to the bound in (5.5). Consequently, for each fixed ,
[TABLE]
Combining (5.4), (5.6), and (5.7) proves the following
Corollary 5.8**.**
* maps boundedly for all .*
It is not difficult to verify that fails to map for : take the monomial and follow the arguments given in Section 3. The interested reader is invited to extend Corollary 5.8 to higher order derivatives. The statements are
Corollary 5.9**.**
* maps boundedly for all .*
Corollary 5.10**.**
* maps boundedly for all .*
Remark 5.11*.*
Formulas (5.1) and (5.2) can be modified to define the sub-Bergman kernel and projection on a general Reinhardt domain . More generally, for fixed , sub-Bergman kernels and projections and may be defined on by formulas analogous to (5.1), where the sum is taken over indices – see [10, Section 3.6].
In [10, Section 4.2.2], the are constructed for each and shown to stabilize into representatives. These operators are more regular on than is – see [10, Theorem 4.3]. This improved regularity has consequences for holomorphic duality and approximation – see [10, Section 4.4].
Acknowledgments
The authors thank the Erwin Schrödinger Institute, Vienna for providing us a fruitful environment for collaboration during a December 2018 workshop. The first author also thanks Texas A&M at Qatar for hosting the stimulating workshop Analysis and Geometry in Several Complex Variables III in January 2019.
The authors are also grateful to the two anonymous referees, whose comments improved the mathematical and expository content of the paper.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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