Strong Closed Range Estimates: Necessary Conditions and Applications
Phillip S. Harrington, Andrew Raich

TL;DR
This paper develops necessary geometric and potential theoretic conditions for strong closed range estimates of the $ar ext{-}\partial$ operator in complex domains, extending $L^2$ theory beyond pseudoconvex cases and exploring applications to the $ar ext{-}\partial$-Neumann problem.
Contribution
It introduces a family of strong closed range estimates and generalizes Kohn's weighted theory through elliptic regularization for non-pseudoconvex domains.
Findings
Established necessary conditions for strong closed range estimates.
Analyzed implications for compactness in the $ar ext{-}\partial$-Neumann problem.
Extended weighted theory via elliptic regularization for broader classes of domains.
Abstract
The theory of the operator on domains in is predicated on establishing a good basic estimate. Typically, one proves not a single basic estimate but a family of basic estimates that we call a family of strong closed range estimates. Using this family of estimates on -forms as our starting point, we establish necessary geometric and potential theoretic conditions. The paper concludes with several applications. We investigate the consequences for compactness estimates for the -Neumann problem, and we also establish a generalization of Kohn's weighted theory via elliptic regularization. Since our domains are not necessarily pseudoconvex, we must take extra care with the regularization.
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Nonlinear Partial Differential Equations · Advanced Mathematical Physics Problems
Strong Closed Range Estimates: Necessary Conditions and Applications
Phillip S. Harrington and Andrew Raich
SCEN 309, 1 University of Arkansas, Fayetteville, AR 72701
[email protected], [email protected]
Abstract.
The theory of the operator on domains in is predicated on establishing a good basic estimate. Typically, one proves not a single basic estimate but a family of basic estimates that we call a family of strong closed range estimates. Using this family of estimates on -forms as our starting point, we establish necessary geometric and potential theoretic conditions.
The paper concludes with several applications. We investigate the consequences for compactness estimates for the -Neumann problem, and we also establish a generalization of Kohn’s weighted theory via elliptic regularization. Since our domains are not necessarily pseudoconvex, we must take extra care with the regularization.
Key words and phrases:
Strong closed range estimates, closed range, compactness, -problem, elliptic regularization, necessary conditions, -Neumann problem
2010 Mathematics Subject Classification:
32F17, 32A70, 32U05, 32T27, 32W05
1. Introduction
Since Hörmander’s pivotal work on the -theory of the -problem [14], there has been a tremendous effort to characterize the regularity properties of the -Neumann operator in terms of estimates, geometry, and potential theory. It has been known since the 1960s that pseudoconvexity is both necessary and sufficient for the range of the -operator to be closed at every form level and for the absence of nontrivial harmonic forms at every form level [14, 1]. The primary tool that analysts use to prove closed range and other related properties is to establish an appropriate basic estimate or family of basic estimates. For example, the basic estimate
[TABLE]
for all suffices to show that the space of harmonic forms is finite dimensional and has closed range in and . It turns out that in every case where (1.1) is known to hold, we can actually prove a family of estimates – namely, instead of (1.1) holding for a single function , we have (1.1) for every where is sufficiently large and is some fixed function and (typically) and . This is an example of what we call a family of strong closed range estimates.
In this paper, we take strong closed range estimates as our starting point and explore the consequences for a domain admitting such a family. Our main result establishes a certain quantitative condition on the number of nonnegative/nonpositive eigenvalues of the Levi form (a geometric condition) as well as the number of positive/negative eigenvalues of the complex Hessian of the weight function restricted to (a potential theoretic condition). Our main result has an application to compactness estimates for the -problem, and the existence of a family of strong closed ranged estimates allows us to establish a generalization of Kohn’s weighted theory for solving the weighted -Neumann operator in Sobolev spaces. To prove this extension on non-pseudoconvex domains, we need to account for the possibility of non-trivial harmonic forms and the boundary condition induced by – typically, the weighted theory has only one of these issues (non-trivial harmonic forms for on CR manifolds without boundary, and the boundary condition induced by for on pseudoconvex domains in ), and we are particularly careful to avoid pitfalls that sometimes appear in the literature.
Surprisingly, since Hörmander’s work, the only results regarding closed range of for -forms on not-necessarily pseudoconvex domains have been to establish sufficient conditions and until the present work, none have attempted to find necessary conditions. For example there are several papers on the annulus or annular regions between two pseudoconvex domains [19, 21, 15], and we have investigated very general sufficient conditions for both and to have closed range. In fact, in the language of this paper, we prove the existence of a family of strong closed range estimates and also establish a generalization of Kohn’s weighted theory [6, 9, 10, 12, 11, 5].
The format of the paper is the following: we state the Main Results at the end of this section, define our notation and operators in Section 2, prove the main theorem regarding strong closed range estimates in Section 4, and present the applications in Section 5.
1.1. Statements of the Main Results
Theorem 1.1**.**
Let be a bounded domain with boundary admitting a family of strong closed range estimates for some and some weight function , as in Definition 2.1 below. Then for each connected component of , one of the following two cases holds:
- (1)
For every , the Levi form for has at least nonnegative eigenvalues and the restriction of to has at least positive eigenvalues bounded below by . 2. (2)
For every , the Levi form for has at least nonpositive eigenvalues and the restriction of to has at least negative eigenvalues bounded above by .
If admits a family of strong closed range estimates near some , then either or holds at .
Remark 1.2*.*
We have stated our result in a form which avoids technical details about the relationship between the Levi form and the complex hessian of , but we actually prove a much stronger statement. Let be a defining function for normalized so that on . For a constant and , let denote the linear combination restricted to , and let denote the eigenvalues of in nondecreasing order. Then for each connected component of , we either have for all and or we have for all and . If, for example, we are in the first case but for some , then this more refined result can be used to deduce information about the restriction of to the kernel of the Levi form at .
Corollary 1.3**.**
Let be a bounded domain with boundary, and write where is a bounded domain with connected boundary and is a collection of domains with connected boundaries that are relatively compact in such that is disjoint. If admits a family of strong closed range estimates for , then is pseudoconvex and the restriction of to is positive definite. If admits a family of strong closed range estimates for , then each is pseudoconvex and the restriction of to is negative definite. If admits a family of strong closed range estimates for , then .
We will see that Definition 2.1 involves a family of smooth, compactly supported functions satisfying the growth condition . This may seem to be a technical convenience, but in fact this distinguishes strong closed range estimates, which require a non-trivial weight function , from stronger families of estimates, which hold with no weight function. For example, we have
Proposition 1.4**.**
Let be a domain with boundary such that for some and some , admits a subelliptic estimate of the form
[TABLE]
for all . Then admits a family of estimates of the form (2.1) for and a family of smooth, compactly supported functions such that
[TABLE]
On strictly pseudoconvex domains, we have subelliptic estimates for , and hence the family of cutoff functions given by Proposition 1.4 satisfies
[TABLE]
This is the sense in which the growth condition in Definition 2.1 is sharp: if we relax this growth condition, then we have a large class of examples admitting a family of estimates of the form (2.1) such that the conclusions of Theorem 1.1 do not hold.
As an immediate consequence of our main theorem, we have the following application to the compactness theory for the -Neumann problem.
Theorem 1.5**.**
Let be a domain with boundary. Suppose that admits a family of compactness estimates for some , as in Definition 2.4 below. If denotes the constant in (2.2), then
[TABLE]
Our second and final application is to establish the weighted -theory for the -problem in the presence of a family of strong closed range estimates.
Theorem 1.6**.**
Let be a smooth domain which admits the family of strong closed range estimates (3.2) for some smooth function . Then for every there exists so that if , the following operators are continuous for all :
- i.
The -Neumann operator
[TABLE] 2. ii.
The weighted canonical solution operators for and :
[TABLE] 3. iii.
The projection operators:
[TABLE] 4. iv.
The harmonic projection .
Remark 1.7*.*
Note that we also obtain estimates for the weighted Bergman projections and , as well as the combined projections and .
Remark 1.8*.*
We can also obtain estimates for the projection (resp.
), but note that this is equal to the restriction of (resp., ) to the space of forms such that (resp., such that ). The argument in [6, (18)-(20)] proves this for the complex Green operator, but the argument is the same.
In many instances where we can establish a closed range estimate (e.g., [14], [20], [9], [2]), there is also sufficient information to prove that the space of harmonic -forms (the case on the annulus being a notable exception, as has closed range but the space of harmonic forms is infinite dimensional [15]), hence the hypothesis in the next corollary is well-motivated.
Corollary 1.9**.**
Let be a bounded smooth domain which admits the family of strong closed range estimates (3.2) for some smooth function . Then
* is dense in for any .* 2. 2.
If, in addition, , then the -problem is solvable in if or . Namely, if is -closed, then then there exists so that .
2. Notation
2.1. spaces
Let be a bounded, domain with defining function , . Let be a function defined near the closure of . We denote the -inner product on by
[TABLE]
We denote the induced surface area measure on by . Also and if , we suppress the in the norm.
2.2. The operator
Let . For , , and , let if as sets and is the length of the permutation that takes to . Set otherwise. We use the standard notation that if , then
[TABLE]
The -operator on -forms is defined as follows: and if , then
[TABLE]
We let denote the -adjoint of in and denote the weighted -Neumann Laplacian by . If it exists, the inverse to on -forms on the orthogonal complement to is called the -Neumann operator and is denoted by .
We use the notation for the space of -harmonic forms, that is, . We also let denote the orthogonal projection.
2.3. CR geometry
The induced CR-structure on at is
[TABLE]
where is an arbitrary defining function for . We denote the exterior algebra generated by these spaces by and its dual by . If we normalize so that on , then the normalized Levi form is the real element of defined by
[TABLE]
for any .
In the case that is a small neighborhood of (say) 0, and we write
[TABLE]
where is a function satisfying and , then we can identify the normalized Levi form at 0 with the matrix \big{(}\frac{\partial^{2}\rho_{1}}{\partial z_{j}\partial\bar{z}_{k}}(0)\big{)} (see (4.1) below).
2.4. Sobolev spaces
We define a Sobolev norm that is adapted to the theory for the weighted -Neumann operator. For we define
[TABLE]
As usual, we define to be the completion of with respect to this norm. Note that if we integrate by parts in the norm, we obtain the adjoint relation
[TABLE]
This motivates the decomposition used in our definition of . On bounded domains (or, more generally, domains on which and are uniformly bounded), . On unbounded domains, the theory for such norms has been studied extensively in [8] and [13], for example. We now define to be the dual of with respect to .
We let denote the usual weighted -Sobolev spaces, namely,
[TABLE]
It is the case that . It is convenient to use in the elliptic regularization and hence in the proof of Theorem 5.2, however we prefer to use in Lemma 3.1 because it produces the most refined estimates.
2.5. Estimates for the -operator
Definition 2.1**.**
Let be a domain with boundary. We say that admits a family of strong closed range estimates for some if there exists a weight function and constants and such that for every there exists a cutoff function such that and
[TABLE]
for all . For , we say that admits a family of strong closed range estimates near if, in addition to the above, there exists a family of open neighborhoods of such that and (2.1) holds for all supported in .
Remark 2.2*.*
We could also define a family of strong closed range estimates for -forms with , but the presence of does not impact the theory in any way, so we omit this case.
Closed range, in general, is not a local property. However, we note that strong closed range estimates localize in the following sense:
Lemma 2.3**.**
Let be a bounded domain with boundary. For some , admits a family of strong closed range estimates if and only if admits a family of strong closed range estimates for every .
Proof.
To see that global estimates imply local estimates, we simply let be a neighborhood of that is independent of . For the converse, let be a non-decreasing function such that for all and for all . For and , set . Then , in a neighborhood of , and .
Cover with a finite collection of neighborhoods satisfying the local definition of strong closed range estimates with cutoff functions . We may assume that where . If we let denote the cutoff function defined in the previous paragraph for , then defines a partition of unity in some neighborhood of satisfying . Hence, if we set , then
[TABLE]
Thus, we may decompose , apply (2.1) to each , and patch the resulting estimates with error terms that can be absorbed by taking sufficiently large. We complete the partition of unity of using , and note that we can choose to be a constant multiple of . ∎
Definition 2.4**.**
Let . We say that admits a compactness estimate for some if for every there exists a constant such that
[TABLE]
for all .
We call this a compactness estimates because (2.2) is equivalent to compactness of the -Neumann operator (see Proposition 4.2 in [22]).
3. Sufficient Conditions for Strong Closed Range Estimates
In many settings, it is more natural to replace the term with a large multiple of the Sobolev norm . The families of estimates in Lemma 3.1 are all candidates for our definition of strong closed range estimates; this lemma shows that the family we have chosen ( in Lemma 3.1) is a priori the weakest.
Lemma 3.1**.**
Let be a bounded domain with Lipschitz boundary and Lipschitz defining function . Let and . For the following families of estimates, we have and .
- (1)
There exist and such that for every there exists a cutoff function such that and
[TABLE]
for all . 2. (2)
There exist and such that for every there exists a constant satisfying and
[TABLE]
for all . 3. (3)
There exist and such that for every there exists a constant satisfying and
[TABLE]
for all . 4. (4)
There exist and such that for every there exists a cutoff function such that and
[TABLE]
for all .
Remark 3.2*.*
A careful analysis of the proof reveals that the condition on in can be relaxed to
[TABLE]
and the condition on in can be relaxed to
[TABLE]
This requires replacing in (3.5) with .
Proof.
To see that implies , we will need to use the interior regularity for the -Neumann problem. Let . By definition,
[TABLE]
For to be chosen later, a small constant/large constant estimate gives us
[TABLE]
To estimate , we observe that integration by parts gives us
[TABLE]
Since
[TABLE]
a second integration by parts will give us
[TABLE]
Hence,
[TABLE]
Since is compactly supported, we can use the Morrey-Kohn-Hörmander identity (see Proposition 4.3.1 in [3], for example) with no boundary term to show
[TABLE]
Calculating and and using the inequality yields the inequality
[TABLE]
or
[TABLE]
Substituting this into (3.5) and repeatedly using gives us
[TABLE]
We may choose sufficiently small so that
[TABLE]
Substituting this in (3.1) gives us (3.2) with and a new constant . When , we use a standard density result (e.g., Proposition 2.3 in [22]).
To see that implies , we first recall that there exists a constant such that for all (see Theorem 1.4.4.3 in [4]). Now note that for any such that , we have
[TABLE]
To see that implies , we may assume that is a defining function for that is smooth in the interior of , even if the boundary of is only . Let denote a non-decreasing function satisfying for all and for all . Set
[TABLE]
Then
[TABLE]
Since whenever , we have , and so
[TABLE]
Since only when , we have
[TABLE]
so (3.3) implies
[TABLE]
For sufficiently large, for all , so satisfies whenever , and (3.4) follows with these new constants and .
To see that implies , we note that since on , we have
[TABLE]
on . Since on for some constant , we can let and obtain (3.3) from (3.4).
∎
The motivation for our formulation of strong closed range estimates is the family of estimates that arise naturally in the study of domains with disconnected boundaries (e.g., annuli). In the estimates constructed in, for example, [19], [9], or [2], different weight functions must be used in a neighborhood of each connected component of the boundary, so a cutoff function must be used to patch these functions together and obtain a global weight function. This leads to estimates of the form
[TABLE]
for all for some and . If we let , then we clearly obtain strong closed range estimates. However, we also obtain the stronger formulation given by in Lemma 3.1, so in fact all of the families of estimates considered in Lemma 3.1 can be obtained in this case.
4. Necessary Conditions for Strong Closed Range Estimates
Proof of Theorem 1.1.
The beginning of our argument is an adaptation of the argument of Theorem 3.2.1 in [14]. By Lemma 3.1, we may assume that we have estimates of the form (3.3).
Fix . After a translation and rotation, we may assume that and there exists some neighborhood of such that
[TABLE]
where , , and is a function in some neighborhood of the origin that vanishes to second order at the origin. Let denote the signed distance function for . By [7, (2.9)], since , we have
[TABLE]
for all .
Fix and define
[TABLE]
After a unitary change of coordinates, we may assume that
[TABLE]
for some increasing sequence of real numbers .
Let and satisfy in a neighborhood of [math] and . For , if we define
[TABLE]
then is a smooth, compactly supported function on satisfying
[TABLE]
[TABLE]
and
[TABLE]
Let and be the holomorphic polynomials
[TABLE]
and
[TABLE]
Then we have
[TABLE]
and
[TABLE]
For any we define a form in by
[TABLE]
As in Hörmander’s construction, we note that
[TABLE]
so the term involving will vanish in our asymptotic computations. We introduce the change of coordinates for and . Using (4.7), we have
[TABLE]
so as in our special coordinates, we will be working on the domain
[TABLE]
Furthermore, we may use (4.8) to check
[TABLE]
Motivated by this, we set . For such a value of , we may use (4.9) and (4.12) to show
[TABLE]
so
[TABLE]
Since for any , we may use (4.11) to evaluate this integral with respect to and then use (4.6) to evaluate this integral with respect to to obtain
[TABLE]
By the same reasoning, we may use (4.9) to obtain
[TABLE]
If instead we integrate (4.13) over the boundary, we may use (4.11) and (4.6) directly to obtain
[TABLE]
Similarly, using (4.1) and (4.9), we also have
[TABLE]
Using (4.2) and (4.3) to add (4.15) and (4.16), we obtain
[TABLE]
For , we compute
[TABLE]
Furthermore,
[TABLE]
Hence, using (4.4) and observing that the second term in each derivative is uniformly bounded in , we have
[TABLE]
Integrating (4.19) as before, we obtain
[TABLE]
Recall the Morrey-Kohn-Hörmander identity:
[TABLE]
Note that if is an arbitrary defining function for , then for a bounded function that is uniformly bounded away from zero, so (4.10), the fact that , and the hypothesis that imply that
[TABLE]
As a result,
[TABLE]
Hence, combining (3.3) with (4.21) gives us
[TABLE]
Multiplying this by and taking a limit using (4.14), (4.17), (4.20), and (4.22), we obtain
[TABLE]
Rearranging terms, we obtain
[TABLE]
From Lemma 3.2.2 in [14], we immediately obtain
[TABLE]
Now, let denote the number of for which and let denote the number of for which . Since we have assumed that the are arranged in increasing order, (4.23) implies
[TABLE]
If and , then , so we obtain an immediate contradiction. Hence, either or .
We now think of as a free parameter rather than a fixed constant. Note that and are lower semicontinuous functions for . Hence, if at a point in , then this condition also holds for a neighborhood of that point, with the analogous statement for . We conclude that for every connected component , we must have for all and or for all and .
We first consider the case in which for all and . Then , so (4.24) gives us
[TABLE]
for all and , where the final inequality relies on the fact that the previous inequality guarantees . Letting , we see that , i.e., the Levi form has at least nonnegative eigenvalues at . Since
[TABLE]
we see that the restriction of to must have at least eigenvalues bounded below by .
We next suppose for all and . Then (4.24) gives us
[TABLE]
for all and , where the final inequality relies on the fact that the previous inequality guarantees . Letting , we see that , i.e., the Levi form has at least nonpositive eigenvalues at . Since
[TABLE]
we see that the restriction of to must have at least eigenvalues bounded above by . We have now proved the global version of Theorem 1.1.
If we only have local estimates, it suffices to note that the support of is contained in a neighborhood of radius , and so when . Hence, for sufficiently large, is supported in , and the rest of the proof follows to obtain pointwise information at . ∎
Proof of Corollary 1.3.
It suffices to note that since is bounded, if we write , then and must each admit at least one strictly convex point for all . Since admits a strictly convex point, must satisfy in Theorem 1.1. For , admits at least one strictly convex point, so viewed as a component of admits at least one strictly concave point, and hence satisfies in Theorem 1.1. ∎
5. Applications
5.1. Subelliptic and Compactness Estimates
Proof of Proposition 1.4.
Suppose that for some , admits a subelliptic estimate of the form
[TABLE]
for all . By definition,
[TABLE]
so for any we may use a small constant/large constant inequality to obtain
[TABLE]
If is a defining function for , then there exists a constant such that
[TABLE]
This follows from Theorem 1.4.4.3 in [4] by a duality argument, as in (3.6). Hence,
[TABLE]
Substituting our subelliptic estimate yields
[TABLE]
We may assume that is a defining function for that is smooth in the interior of , even if the boundary of is only . Let denote a non-decreasing function satisfying for all and for all . Fix and set
[TABLE]
Since only when , we have
[TABLE]
Substituting in (5.1) and rearranging terms, we obtain
[TABLE]
If we choose sufficiently small, then we may set and obtain . Thus we have an estimate of the form (2.1) with , but without the growth condition on . Since is bounded, we have . We compute
[TABLE]
Since only when , the first term is bounded by . Since only when , the second term is bounded by . Consequently,
[TABLE]
Since , the conclusions of Theorem 1.1 does not follow, and hence
[TABLE]
∎
Proof of Theorem 1.5.
Suppose that (1.2) fails. Then
[TABLE]
For any , let . Then we may set , , and to show that (2.2) implies (3.2) (observe that ). By Lemma 3.1, this also implies (2.1). Hence, Theorem 1.1 implies that has nontrivial eigenvalues, contradicting the fact that is constant. ∎
5.2. Sobolev Estimates
For the remainder of this note, we concentrate on the implications of (3.2). Note that the following arguments do not require to depend on in a prescribed way.
The following lemma appears in [16], though it is well-known.
Lemma 5.1**.**
Let . Suppose that is a bounded domain. Then the following are equivalent:
- (1)
The space of harmonic forms is finite dimensional and the -basic estimate
[TABLE]
holds for all . 2. (2)
The -basic estimate
[TABLE]
holds for all .
We now use an elliptic regularization argument to analyze the regularity of the -Neumann operator and harmonic forms. Let be a defining function for normalized so that . In real coordinates for , we define the tangential gradient
[TABLE]
for with the corresponding tangential Laplacian
[TABLE]
for . Define the quadratic forms
[TABLE]
for when , or when . When , we may use, for example, Lemma 2.2 in [22] to show that there exists a constant such that
[TABLE]
When or is equal to [math], we omit the corresponding superscript, so, for example, . We may use standard techniques to construct the corresponding Laplacians
[TABLE]
with appropriate domains (see, for example, Section 2.8 in [22] when or Section 3.3 in [22] when ). Since (5.4) implies that is elliptic when , we have whenever , and hence . Since the term with the coefficient of involves only tangential derivatives, we have
[TABLE]
Theorem 5.2**.**
Let be a bounded domain and . Assume that
There is a constant so that for any , the following -basic estimate holds:
[TABLE] 2. 2.
For some fixed and all , there exists a constant so that
[TABLE]
for any so that and .
Then and the -Neumann operator is exactly regular on for .
Proof.
Suppose is a positive integer. Then from (5.6), there is an such that for any the following estimate
[TABLE]
holds for any satisfying . By construction, for any and we also have
[TABLE]
for all .
Consequently, has closed range and a trivial kernel. This means has a continuous inverse on that we denote by . Also, for each , the inverse satisfies
[TABLE]
Step 1: We will first show that if then . By (5.4), it follows that is elliptic which means that if , then . Moreover, . We can therefore use (5.7) with and estimate
[TABLE]
for any positive integer . The equality in (5.10) follows from the identity and the fact that . The (second) inequality follows by (5.9) and the independence of the constants on .
Thus, is uniformly bounded in . Therefore, there exists a sequence such that weakly in . For any integer , if , then by the Riesz Representation Theorem there exists such that for all , and hence weakly in for all integers . Thus, it follows that , . Additionally, weakly in the -norm. This means that if , then
[TABLE]
On the other hand,
[TABLE]
for all . It follows that
[TABLE]
where we again used the inequality uniformly in . Thus,
[TABLE]
Since , it follows that and hence for all integers . Moreover, we may apply (5.7) with and and observe
[TABLE]
holds for all .
Step 2: We next show that for .
By Lemma 5.1, the space of -harmonic forms is finite dimensional. Let be an orthonormal basis, and set . We will prove for all by induction. Certainly . Assume now that for some , for all . We will construct with and for . If we replace with , we may proceed by induction to obtain a basis of which is contained in .
Let be a form such that is orthogonal (in ) to for but not to . This can be obtained, for example, by regularizing and projecting onto the orthogonal complement of the span of . Then, for , and satisfies (5.11). We claim that is unbounded. If it were bounded then by (5.11) we could find a subsequence converging (weakly) to a form satisfying
[TABLE]
for all . By setting , we see that , and if , the left-hand side is zero while the right-hand side is different from zero, a contradiction. Thus the set is unbounded and we can therefore find a subsequence such that and . Set . Then , , and by (5.11)
[TABLE]
Thus, there is a subsequence converging weakly to . The compact inclusion forces norm convergence of to in . Thus, . To see that , we use the inequality
[TABLE]
Indeed, since converges weakly to in , we have
[TABLE]
Hence .
Finally, to prove for , for any we have
[TABLE]
This means is orthogonal to for and so is as well. Therefore, .
Step 3: Finally, we show that is exactly regular on for . We start this step by combining Lemma 5.1 and (5.5). In particular, for any
[TABLE]
and hence
[TABLE]
where is independent of .
By the definition of and , we have
[TABLE]
for any with . Thus, if and , then it follows that since a consequence of the harmonicity of is that for any . Thus, if and , then the uniformity of (5.12) (in ) implies
[TABLE]
Combining this uniform estimate with (5.11) yields the uniform (in ) -estimate
[TABLE]
for any .
Now we use argument of Step 1 to send and establish that and (5.13) holds for . For , we decompose (recall that is the orthogonal projection onto ). Since , it follows from Step 2 that , and by using (5.13) for , we may conclude that
[TABLE]
for all . That means is exactly regular in , . ∎
We turn to showing that a family of closed range estimates will suffice to satisfy the hypotheses of Theorem 5.2 for sufficiently large .
Proposition 5.3**.**
Let be a smooth domain which admits the family of strong closed range estimates (3.2) for some smooth function . Then for every there exists so that if , then the hypotheses of Theorem 5.2 hold for .
Proof.
Suppose that is a real order differential operator that is tangential on . We define the action of on differential forms by locally writing each form in a special boundary chart (see 2.2 in [22], for example) and applying to the coefficients of the form in this chart. Hence, will preserve the domain of .
We first note that (5.3) in [22] holds in our case: for any , if is a real order differential operator that is tangential on , then we have
[TABLE]
for all , where is a constant that is independent of and , and is a constant that is only independent of . If we make the substitution , then the only difference between (5.15) and (5.3) in [22] is the final term, which would be in our notation. This relies on the estimate , which is true in the pseudoconvex case studied by Straube, but not necessarily in our case. Since our domain is not necessarily pseudoconvex, we also note that (5.15) may fail when .
If , then so that (3.2) holds. Consequently,
[TABLE]
Plugging (5.15) into (5.16), we see that for any
[TABLE]
As noted in the proof of (5.3) in [22], we may use Sobolev interpolation to estimate , so we have
[TABLE]
Using, for example, Lemma 2.2 in [22], we see that for forms , normal derivatives of are controlled by , , tangential derivatives of , and itself. For higher order normal derivatives, we may use, for example, (3.42) in [22] to reduce the order and proceed by induction on the number of normal derivatives. It follows that for
[TABLE]
Thus, by choosing large enough,
[TABLE]
While this inequality holds for forms , this space of forms is dense in for which . Thus, the proof of the proposition is complete. ∎
Proof of Theorem 1.6.
We have already proven that in Theorem 5.2 and Proposition 5.3, so (i) is proven. Additionally, in Theorem 5.2 we proved that is continuous on the same range of (this requires the Closed Graph Theorem and the fact that is a closed operator). With this in mind, estimates for , , , and will follow from the proof of Theorem 5.1 in [22]. The key difference is that we will use the identity , but we have already proven estimates for .
For operators such as , observe its adjoint is a bounded operator from . Consequently, since agrees with on , we simply extend to be the bounded operator from that agrees with . When exists, this extension satisfies . Similarly, we can extend to be a well-defined operator on the appropriate weighted -spaces. Note that on the space , we have .
To estimate and , we observe that the proof of Theorem 5.1 in [22] concludes by proving estimates for and , and this proof is easily generalized to the case. The same proof can be adapted to estimate and .
∎
Recall the following well-known fact (cf. Theorem 3.19 in [17], see also [18]).
Lemma 5.4**.**
Let be a domain satisfying (3.2) for some and a (smooth) bounded function. Then for all , .
Proof.
This follows immediately from the observation that is the orthogonal complement of in . Since and are independent of the weight , the orthogonal complement of in has the same dimension, whether measured in the weighted or unweighted spaces. ∎
Proof of Corollary 1.9.
Let be chosen sufficiently large so that we have estimates for in . If is -closed, then since the spaces are equivalent on bounded domains. A -closed approximation in is produced as follows: Let be an approximation in . Then is a -closed approximation of for sufficiently large and sufficiently close to in . This will also be an approximation in since the norm on this space is equivalent to the norm on for fixed when is bounded.
Smooth solvability will follow from the proof of Theorem 6.1.1 in [3] (see also [6, Section 6.8]). It suffices to note that these proofs require Sobolev regularity for the weighted Bergman projection and the weighted canonical solution operator (when ) or and (when ). ∎
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