Weighted and boundary l p estimates for solutions of the $\partial$ -equation on lineally convex domains of finite type and applications
Ph. Charpentier (IMB), Y Dupain (AUCUN)

TL;DR
This paper establishes sharp weighted estimates for solutions of the $ar{ abla}$-equation in lineally convex domains of finite type, extending regularity results to more general weights and boundary conditions.
Contribution
It provides new weighted Lp and BMO estimates for solutions of the $ar{ abla}$-equation in lineally convex domains, including boundary and anisotropic cases, generalizing previous results.
Findings
Sharp weighted estimates in Lp spaces with boundary distance weights.
Extension of regularity results to more general weights and boundary conditions.
New estimates for solutions with anisotropic data in convex domains.
Abstract
We obtain sharp weighted estimates for solutions of the equation u = f in a lineally convex domain of finite type. Precisely we obtain estimates in the spaces L p (, ), being the distance to the boundary, with two different types of hypothesis on the form f : first, if the data f belongs to L p , , > --1, we have a mixed gain on the index p and the exponent ; secondly we obtain a similar estimate when the data f satisfies an apropriate anisotropic L p estimate with weight +1 . Moreover we extend those results to = --1 and obtain L p ( ) and BMO( ) estimates. These results allow us to extend the L p (, )-regularity results for weighted Bergman projection obtained in [CDM14b] for convex domains to more…
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Weighted and Boundary Estimates for Solutions of the -equation
on Lineally Convex Domains of Finite Type and Applications
P. Charpentier & Y. Dupain
P. Charpentier, Université Bordeaux I, Institut de Mathématiques de Bordeaux, 351, Cours de la Libération, 33405, Talence, France
P. Charpentier: [email protected]
Abstract.
We obtain sharp weighted estimates for solutions of the equation in a lineally convex domain of finite type. Precisely we obtain estimates in the spaces , being the distance to the boundary, with two different types of hypothesis on the form : first, if the data belongs to , , we have a mixed gain on the index and the exponent ; secondly we obtain a similar estimate when the data satisfies an apropriate anisotropic estimate with weight . Moreover we extend those results to and obtain and estimates. These results allow us to extend the -regularity results for weighted Bergman projection obtained in [CDM14b] for convex domains to more general weights.
Key words and phrases:
lineally convex, finite type, -equation, weighted Bergman projection
2010 Mathematics Subject Classification:
32T25, 32T27
1. Introduction
Sharp estimates for solutions of the -equation are a fundamental tool to study various problems in complex analysis of several variables.
In this paper we consider the case of smoothly bounded lineally convex domain of finite type in . Precisely, we obtain new weighted estimates for solutions of the equation , being a -form, , in .
Our first result is a weighted estimate ( being the distance to the boundary of ) with a mixed gain on and extending results obtained (without weights) for convex domains of finite type by various authors (for example, A. Cumenge in [Cum01a, Theorem 1.2] and B. Fisher in [Fis01, Theorem 1.1]) (see also T. Hefer [Hef02]).
The second one gives a weighted , , estimate with gain on , with a non isotropic hypothesis (formula (2.1)) on the form generalizing the estimate obtained by A. Cumenge ([Cum01b, Theorem 1.3]) in convex domains of finite type for with the “norm” defined in [BCD98]. As far as we know, the estimate presented here (for ) was only stated for strictly pseudoconvex domains in [Cha80, Theorem 1.4 and Remark that follows].
The two last results are estimates. The first is the limit case of the previous one vhen tends to and the second one is a and estimate with an hypothesis based on Carleson measure for -forms only.
To prove these results, we use the method introduced in [CDM14a], which overcomes the fact that the Diederich-Fornaess support function is only locally defined and that it is not possible to extend it to the whole domain (like W. Alexandre did it in the convex case in [Ale01]) using a division with good estimates, our domain being non convex.
These estimates are used next to generalize an estimate for weighted Bergman projections obtained in [CDM14b] for convex domains of finite type.
The study of the regularity of the Bergman projection onto holomorphic functions in a given Hilbert space is a very classical subject. When the Hilbert space is the standard Lebesgue space on a smoothly bounded pseudoconvex domain in , many results are known and there is a very large bibliography.
When the Hilbert space is a weighted space on a smoothly bounded pseudoconvex domain in , it is well known for a long time that the regularity of the Bergman projection depends strongly on the weight ([Koh73], [Bar92], [Chr96]). Until last years few results where known (see [FR75], [Lig89], [BG95], [CL97]) but recently some positive and negative results where obtained by several authors (see for example [Zey11], [Zey12], [Zey13b], [Zey13a], [CDM14b], [CDM15], [ČZ16], [Zey16] and references therein).
Let be a convex domain of finite type in . Let be a gauge function for and define . Let be the Bergman projection of the space , where , . Then in [CDM14b, Theorem 2.1] we proved that maps continuously the spaces , , , into themselves. Here we consider a weight which is a non negative rational power of a function in equivalent to the distance to the boundary and we prove that the Bergman projection of the Hilbert space maps continuously the spaces , , into themselves and the lipschitz spaces , , into themselves.
This result is obtained comparing the operators and with the method described in [CDM15]. To do it, we use the weighted estimates with appropriate gains on the index and on the power for solution of the -equation obtained in the first part.
2. Notations and main results
Throughout this paper we will use the following general notations:
- •
is a smoothly bounded lineally convex domain of finite type in . Precisely (c.f. [CDM14a]) “lineally convex” means that, for all point in the boundary of , there exists a neighborhood of such that, for all point ,
[TABLE]
where is the holomorphic tangent space to at the point . Furthermore, we can assume that there exists a a smooth defining function of such that, for sufficiently small, the domains , , are all lineally convex of finite type .
- •
denotes the distance to the boundary of .
- •
For any real number , we denote by the -space on for the measure , being the Lebesgue measure.
- •
denotes the standard space on and the standard lipschitz space.
Our first results give sharp , and estimates for solutions of the -equation in with data in :
Theorem 2.1**.**
Let be a positive large integer. let and be two real numbers such that and . Then there exists a linear operator , depending on and , such that, for any -closed -form () with coefficients in , , is a solution of the equation such that:
- (1)
If , then maps continuously the space of -closed forms with coefficients in into the space of forms whose coefficients are in with ; 2. (2)
If , then maps continuously the space of -closed forms with coefficients in into the space of forms whose coefficients are in ; 3. (3)
If , then maps continuously the space of -closed forms with coefficients in into the space of forms whose coefficients are in the lipschitz space with .
Remark*.*
@afterheading
- •
Note that, if , then , and (3) is sharper than (1) for
[TABLE]
- •
For and , these estimates are known to be sharp (see [CKM93]).
- •
For and , the above result is strictly better than the one obtain for convex domains by A Cumenge in [Cum01a, Theorem 1.2] and B. Fisher in [Fis01, Theorem 1.1] and for complex ellipsoids in [CKM93].
The two next propositions, which are immediate corollaries of the theorem, will be used in the last section:
Proposition 2.1**.**
For all large integer , there exists a linear operator solving the -equation in such that, for all and all , , there exists a constant such that, for all -closed -form , , we have
[TABLE]
Proposition 2.2**.**
For all large integer , there exists a constant and a linear operator solving the -equation in such that, for and all and all , , there exists a constant such that for all -closed -form , , we have
[TABLE]
In [Cum01b] A. Cumenge obtained a weighted -anisotropic estimate for solutions of the -equation for convex domains of finite type, using the punctual norm introduced in [BCD98]:
Theorem** (A. cumenge [Cum01b]).**
Let be a convex domain of finite type. There exists a constant such that, for all and all smooth -closed -form on , there exists a solution of the equation , continuous on such that
[TABLE]
The estimate given by 2.1 when (and then ) is weaker than the one given above. Then it is natural to ask if the above estimate can be extended to weighted norms. For example, if is a smooth strictly pseudoconvex domain it is proved in [Cha80, Théorème 1.4] that: for , if is a smooth -closed form such that the coefficients of are in and the coefficients of are in , , , then there exists a solution of the equation which is in .
Our next result extends A. Cumenge’s theorem and [Cha80] theorem to -forms in lineally convex domains of finite type for .
To state it, we need to extend the definition of the punctual anisotropic norm given in [CDM14a] to the context.
We first introduce new quantities associated to the geometry: for close to the boundary of , let us define
[TABLE]
and, for
[TABLE]
where is the pseudo-ball defined by (3.4).
let be a -form whose coefficients are functions; for close to the boundary and , we define
[TABLE]
where is given by formula (3.3).
Note that, if the coefficients of are continuous, then is also continuous.
Remark*.*
@afterheading
- •
If is a -extremal basis (see 3, after (3.4)), property (3) of the geometry implies that (with the notation (3.5))
[TABLE]
and (3.9) and 3.9 show that, for all , so
[TABLE]
But, of course, in general, the second member of this last equivalence is not a continuous function of .
- •
In [CDM14a], for , we defined , and, as before, (3.9) and 3.9 show that this definition is equivalent to
[TABLE]
Thus, when , the definition is equal to when and gives a smaller quantity when . So, when we will write indifferently or .
- •
In the case of strictly pseudo-convex domains it is clear that the integrability of is equivalent to the integrability of .
Theorem 2.2**.**
For all and all , there exists a constant such that, for all smooth -closed -form , , on , there exists a solution of the equation , continuous on such that
[TABLE]
Remark*.*
Related (but non comparable) estimates can be found in [AC00, Theorem 4.1] for strictly pseudoconvex domains and in [Ale11, Theorem 2.8] for convex domains of finite type.
This result can be extended to to get an estimate (for this was done in [CDM14a]):
Theorem 2.3**.**
For there exists a constant such that, for all smooth -closed -form , , on , there exists a solution of the equation , continuous on such that
[TABLE]
For this result is weaker than the one which can be obtained using Carleson measure of order . Before stating our last estimate let us recall these notions.
A measure in is called a Carleson measure if
[TABLE]
where is the extremal polydisk defined below in (3.6) and the surface measure on . will denote the space of Carleson measures on . Then, for the space is the complex interpolated space between the space of bounded measures on , denoted usually , and . Moreover, we denote by the BMO-space associated to the anisotropic geometry on . Then:
Theorem 2.4**.**
There exists a constant such that, for all and all smooth -closed -form on , there exists a solution of the equation , continuous on such that:
- •
;
- •
.
This type of estimates where originally obtained, for strictly pseudoconvex domains, by E. Amar & A. Bonami in [AB79] and extended to convex domains of finite type by N. Nguyen in [Ngu01] and W. Alexandre in [Ale11].
A classical application of 2.2 (for and ) is the extension to lineally convex domains of the characterization of the zero sets of the weighted Nevanlinna classes (called Nevanlinna-Djrbachian classes in [Cum01b]) obtained by A. Cumenge for convex domains:
Theorem 2.5**.**
A divisor in can be defined by a holomorphic function satisfying , , if and only if it satisfies the generalized Blaschke condition .
As the proof of such result using 2.2 is very classical we will not give any detail in this paper.
The two propositions 2.1 and 2.2 will be used to generalize some estimates obtained for weighted Bergman projections of convex domains of finite type in [CDM14b] using the method introduced in [CDM15]:
Theorem 2.6**.**
Let be a smoothly bounded convex domain of finite type in . Let be any non negative function in which is equivalent to the distance to the boundary of and let be a strictly positive function on . Let be the (weighted) Bergman projection of the Hilbert space where with a non negative rational number.Then:
- (1)
For and , maps continuously into itself. 2. (2)
For maps continuously the Lipschitz space into itself.
This theorem combined with theorems 2.1 and 2.2 extends to weighted situations the Corollary 1.3 of [Cum01a]
Corollary**.**
Let a -closed -form on . Under the assumptions and notations of 2.6, the solution of the equation which is orthogonal to holomorphic functions in () satisfies the following estimates:
- (1)
If the coefficients of are in , then:
- (a)
, with and , , if , and ; 2. (b)
, with , if . 2. (2)
If is in , , then .
3. Proofs of theorems 2.1
to 2.4
First, by standard regularization procedure, it suffices to prove theorems 2.1, and 2.2 for forms smooth in .
To solve the -equation on a lineally convex domain of finite type, we use exactly the method introduced in [CDM14a], except for the proof of 2.4 where a modification of the form is done. We now briefly recall the notations and main results from that work.
If is a smooth -form -closed, the then
[TABLE]
where (resp. ) is the component of a kernel (formula (2.7) of [CDM14a]) of bi-degree in and in (resp. in and in ) constructed with the method of [AB82] using the Diederich-Fornaess support function constructed in [DF03] (see also Theorem 2.2 of [CDM14a]) and the function with a sufficiently large number (instead of in formula (2.7) of [CDM14a]).
Then, the form is -closed and the operator solving the -equation in theorems 2.1 and 2.2 is defined on smooth forms by
[TABLE]
where is the canonical solution of the -equation derived from the theory of the -Neumann problem on pseudoconvex domains of finite type.
This formula is justified by the fact that, when the coefficients of are in () then, given a large integer , if is chosen sufficiently large, the coefficients of the form are in the Sobolev space . More precisely, it is clear that lemmas 2.2 and 2.3 of [CDM14a] remains true with weighted estimates depending on the choice of :
Lemma 3.1**.**
For and , all the -derivatives of are uniformly bounded in , and, for each positive integer , there exists a constant such that, if is -form with coefficients in ,
[TABLE]
As is assumed to be smooth and of finite type, the regularity results of the -Neumann problem ([KN65] and [Cat87]) imply:
Lemma 3.2**.**
For and , for each positive integer , if is a -closed -form with coefficients in and , then is a solution of the equation satisfying .
Applying Sobolev lemma we immediately get:
Lemma 3.3**.**
For and , if is a -closed -form with coefficients in and , then is a solution of the equation satisfying .
Finally the proofs of our theorems are reduced to the proofs of good estimates for the operator defined by
[TABLE]
To do it we need to recall the anisotropic geometry of and the basic estimates given in [CDM14a].
For close to and , small, define, for all unitary vector ,
[TABLE]
Note that the lineal convexity hypothesis implies that the function is smooth. In particular, is a smooth function. The pseudo-balls (for close to the boundary of ) of the homogeneous space associated to the anisotropic geometry of are
[TABLE]
where is chosen sufficiently small depending only on the defining function of .
Let and be fixed. Then, an orthonormal basis is called -extremal (or -extremal, or simply extremal) if is the complex normal (to ) at , and, for , belongs to the orthogonal space of the vector space generated by and minimizes in the unit sphere of that space. In association to an extremal basis, we denote
[TABLE]
Then we defined polydiscs by
[TABLE]
being the corresponding polydisc with and we also define
[TABLE]
so
[TABLE]
Remark*.*
Note that there is neither unicity of the extremal basis nor of associated polydisk . However the polydisks associated to two different -extremal basis are equivalent. Thus in all the paper will denote a polydisk associated to any -extremal basis and the radius of .
The fundamental result here is that is a pseudo-distance which means that there exists a constant and, , constants and such that
[TABLE]
and
[TABLE]
Moreover the pseudo-balls and the polydiscs are equivalent in the sense that there exists a constant depending only on such that
[TABLE]
For close to and small, the basic properties of this geometry are (see [Con02] and [CDM14a]):
- (1)
Let be an orthonormal system of coordinates centered at . Then
[TABLE] 2. (2)
Let be a unit vector. Let . Then
[TABLE]
where is the type of . 3. (3)
If is a -extremal basis and , then
[TABLE] 4. (4)
If is a unit vector then:
- (a)
implies , 2. (b)
with implies . 5. (5)
If is the unit complex normal, then and if is any unit vector and ,
[TABLE]
where is the type of .
Lemma 3.4**.**
For close to , small and or , we have, for all :
- (1)
* where is the -extremal basis;* 2. (2)
; 3. (3)
In the coordinate system associated to the -extremal basis, where is either or .
Proof.
(1) is proved in [Con02] (together with the properties of the geometry). (2) follows the properties of the geometry ((3.7) and (3.8)) and formula (3.14) of 3.9 and (3) is a consequence of (1), (2) and the first property of the geometry.∎
Remark*.*
In (1) above is not because the extremal basis at and are different but (2) implies that these quantities are equivalent.
We now recall the detailed expression of ([CDM14a] sections 2.2 and 2.3):
[TABLE]
where is a -form satisfying
[TABLE]
uniformly for and in any compact subset of , and
[TABLE]
with
[TABLE]
being the holomorphic support function of Diederich-Fornaess (see [DF03] or Theorem 2.2 of [CDM14a]) and a truncating function which is equal to when both and are small and [math] if one of these expressions is large (see the beginning of Section 2.2 of [CDM14a] for a precise definition). Recall that is chosen so that
[TABLE]
which implies
[TABLE]
The precise choice of the form is
[TABLE]
for all the proofs except for the proof of 2.4 where a different choice is needed.
The following estimates of the expressions appearing in are basic (see [CDM14a]):
Lemma 3.5**.**
For or , we have:
[TABLE]
Lemma 3.6**.**
For close to , small and , in the coordinate system associated to the -extremal basis, we have:
- (1)
, 2. (2)
, 3. (3)
,
where are either , or .
Proof.
This Lemma follows [DF06] and 3.4. ∎
The preceding lemmas and the properties of the geometry easily give the following estimates of the kernel :
Lemma 3.7**.**
For small enough and sufficiently close to the boundary, with the choice (3.13) for , we have:
If or ,
[TABLE]
where is or .
Proof.
Indeed, under the conditions of the lemma, is holomorphic in and is reduced to
[TABLE]
∎
In particular:
Lemma 3.8**.**
For small enough and sufficiently close to the boundary and given by (3.13):
- (1)
If , for or ,
[TABLE]
where is or .
For and or :
- (2)
[TABLE] 2. (3)
[TABLE]
where is either or .
Lemma 3.9**.**
For , close to , small, and ,
[TABLE]
and, for ,
[TABLE]
Proof.
Let us prove (3.14). Let
[TABLE]
Then the volume of is and, on , . This proves the inequality .
To prove the converse inequality let us first consider the sets
[TABLE]
where and . Then the volume of is
[TABLE]
and, for ,
[TABLE]
Thus
[TABLE]
proving the inequality if . If , consider now the sets
[TABLE]
where and . Then the volume of is
[TABLE]
and, for ,
[TABLE]
Thus
[TABLE]
finishing the proof of (3.14).
(3.15) is proved similarly considering the sets
[TABLE]
∎
We now detail the different proofs of the theorems in the next sub-sections. Recall that, by 3.3, we only have to prove the estimates for the operator associated to the kernel .
3.1. Proof of Theorem 2.1
In this proof the form is given by the formula (3.13).
Proof of (1) of 2.1.
It is based on a version of a classical operator estimate which can be found, for example, in Appendix B of the book of M. Range [Ran86]:
Lemma 3.10**.**
Let be a smoothly bounded domain in . Let and be two positive measures on . Let be a measurable function on . Assume that there exists a positive number , a positive constant and a real number such that:
- (1)
, 2. (2)
,
for all , where denotes the distance to the boundary of . Then the linear operator defined by
[TABLE]
is bounded from to for all such that .
Short proof.
This is exactly the proof given by M. Range in his book: let be sufficiently small. Writing
[TABLE]
Hölder’s inequality (with ) gives
[TABLE]
The first hypothesis of the lemma gives (for )
[TABLE]
Integration with respect to the measure gives (using the second hypothesis of the lemma with )
[TABLE]
∎
Applying this lemma to the operator (formula (3.2)) with the measures and , the required estimates on are summarized in the following Lemma:
Lemma 3.11**.**
Let .
- (1)
For such that and sufficiently small,
[TABLE]
- (a)
For and such that and sufficiently small,
[TABLE]
We now prove this last lemma.
Proof of (1) of 3.11.
being bounded, uniformly in , for outside , it is enough to prove that
[TABLE]
for sufficiently small. As this is trivial if is far from the boundary, we assume that is sufficiently close to .
Let . If then and, by (2) of 3.8,
[TABLE]
Thus, by (3.14), we get
[TABLE]
Now, let , if is sufficiently large (), by (2) of 3.8, we have
[TABLE]
which gives, by (3.14),
[TABLE]
finishing the proof. ∎
Proof of (2) of 3.11.
As in the preceding proof we have to show that
[TABLE]
If then , the estimate (3.16), which is still valid replacing by (3.4 and (3.14)), we immediately get
[TABLE]
Assume now .
If , using , (2) of 3.8 and (3.14) give
[TABLE]
finishing the proof in that case.
If -1<\gamma^{\prime}-\varepsilon$$\leq 0, as
[TABLE]
the proof is done as before using (2) of 3.8. ∎
The proof of (1) of 2.1 is now complete. ∎
Proof of (2) and (3) of 2.1.
By the Hardy-Littlewood lemma we have to prove the two following inequalities:
- •
if , ,
- •
if , .
Then, using Hölder’s inequality these two estimates are consequences of the following lemma:
Lemma 3.12**.**
Let , the conjugate of (i.e. ) and let . Then
[TABLE]
Proof of the lemma.
Denote so that and . Note that . By the basic estimates of (and the fact that ) it suffices to estimate the above integral when the domain of integration is reduced to .
Assume first that . Then, by (3) of 3.8, we have (note that )
[TABLE]
and by (3.14), we get
[TABLE]
Assume now that . Then, by (3) of 3.8 (for ) and the fact that , we have
[TABLE]
and, as before, by (3.14), we have
[TABLE]
finishing the proof of the lemma. ∎
The proofs of (2) and (3) of 2.1 are complete. ∎
The proof of 2.1 is now complete.
3.2. Proof of Theorem 2.2
In this proof the form is already given by the formula (3.13).
For condensing, we introduce a new notation. If is a set of vectors in , for , for , we denote by the set
[TABLE]
If is ordered increasingly, we denote by the subset of , ordered increasingly, such that .
Writing
[TABLE]
the symbol meaning that the summation is taken over increasing sets of integers , if is an orthonormal basis, we write
[TABLE]
where, denoting by the coordinate system associated to , is defined by
[TABLE]
Thus, as we are able to estimate the kernel only when writing it in suitable extremal coordinates, to obtain the wanted estimate, we have to write
[TABLE]
with a basis , extremal at , and apply Hölder’s inequality. But this cannot be done directly since it is well known that it is not possible to choose continuously the bases and there is no guaranty that the functions
[TABLE]
are measurable. To circumvent this difficulty we will choose bases which are locally constant (thus not extremal at ) and suitably close to an extremal basis at . Then the properties of the geometry and the estimates of the kernel will allow us to conclude.
Let us consider a minimal covering of by polydisks , so that it is locally finite. Let be the union of the boundaries of these polydisks ( is closed in ) and let us denote by the countable family of the connected components of . For each we fix an arbitrary point in and we define the coronas by
[TABLE]
Finally we denote the union of the boundaries of the polydisks and .
Note that both sets and are measurable of Lebesgue measure zero.
We now define our bases for as follows:
let ; then there exists a unique such that and a unique such that ; then we define the vector field to be the vector of a -extremal basis at the point used for the polydisk and set
[TABLE]
With this definition the expressions
[TABLE]
is a measurable function on (because it is the restriction to a set of total measure of a locally smooth function) and we can write, for ,
[TABLE]
The kernel being uniformly integrable in the variable (c.f. [CDM14a]), Hölder’s inequality gives
[TABLE]
The measurability of the functions
[TABLE]
the facts that and are of Lebesgue measure zero and Fubini’s theorem finally give
[TABLE]
For let us consider the coronas and , . We now evaluate the integrals
[TABLE]
Recall that if there exists a unique such that and is the vector of the -extremal basis at chosen before. To simplify the notations, we denote by the coordinate system associated to that basis so that . Writing everything in those coordinate systems, we have to integrate over where .
First, we remark that is a sum of expressions of the form where
[TABLE]
and,
[TABLE]
or
[TABLE]
with , and, all different.
Then, using 3.6 and the properties of the geometry, we obtain the following estimates:
- •
For , using inequality (3.12), (3) of 3.4 and the fact that , is a sum of expressions bounded by
[TABLE]
and, using (1) and (2) of 3.4, these expressions are bounded by
[TABLE]
thus
[TABLE]
This gives (using (3.15))
[TABLE]
- •
Similarly, for , , then with , and, using 3.5 instead of inequality (3.12) (as in 3.8 (2)) and (3.10), is a sum of expressions bounded by
[TABLE]
giving, for ,
[TABLE]
Indeed, if , implies and if , using the proof of 3.9.
This concludes the proof of 2.2.
3.3. Proof of Theorem 2.3
As is assumed to be smooth in , 2.1 implies that the form is continuous on .
The proof starts, as in the previous section, considering the sets and and the vectors . Note that, as is of Lebesgue measure zero, for almost all , , small, , being the euclidean measure on . Then, the proof is done showing that there exists a constant such that, for such ,
[TABLE]
We do it using almost the same proof as in the previous section so we will not give details. Simply, note that using the same notations for , and writing in the same extremal bases, (3.17) implies
[TABLE]
and
[TABLE]
for . Finally we obtain
[TABLE]
3.4. Proof of Theorem 2.4
Our proof is very similar to the one given by N. Nguyen in [Ngu01] for convex domains. As this paper was not published, we give some details below.
A standard interpolation argument shows that we only have to prove the BMO estimate. The form used in the previous proofs (formula (3.13)) is not well adapted to a BMO-estimate, so, we change it here and make a choice similar to the one made in [DM01]:
[TABLE]
where and are given by (LABEL:def-S-and-Qi) and is a smooth cut-off function equal to [math] when and to when , sufficiently small. Clearly, for in a compact subset of and in ,
[TABLE]
and, on ,
[TABLE]
and, as and are unchanged, formula (3.1) is still valid. Moreover 3.3 remains unchanged and the proof of the theorem is reduced to the proof of the same estimate for the operator (formula (3.2)).
To get the continuity up to the boundary of we need to prove the uniform integrability of our new kernel that is the following lemma:
Lemma 3.13**.**
For sufficiently close to and sufficiently small, if is the component of of bi-degree in and in ,
[TABLE]
Proof.
Under the conditions of the lemma, the kernel is reduced to
[TABLE]
Let us denote and expressed in the -extremal basis.
Let us estimate for .
Clearly .
For the first term of , suppose . As (3.6), we have
[TABLE]
Conversely, if , by 3.5, and
[TABLE]
Then, using lemmas 3.4, 3.5 and 3.6, on , is bounded by a sum of expressions of the type
[TABLE]
Now, by 3.9
[TABLE]
and, if
[TABLE]
and, if ,
[TABLE]
This finishes the proof of the lemma. ∎
We now follow the (unpublished) method developed by N. Nguyen in [Ngu01] to prove the BMO-estimate for the function , : for and small, denoting , we have to estimate
[TABLE]
where is the euclidean measure on and .
Let and where is a sufficiently large number, independent of and , that will be fixed later. Then
[TABLE]
where, for
[TABLE]
To estimate we simply write
[TABLE]
For let , (recall that, by the choice of in the definition (3.6) of the polydisks, ). Then, if , writing in the -extremal basis and using lemmas 3.4, 3.5 and 3.6, is bounded by and is bounded from below by (because ), and we get
[TABLE]
the last inequality coming from (3.10). Integrating over and summing up we obtain ( being fixed, )
[TABLE]
To estimate it is necessary to evaluate the difference . When is convex, in [Ngu01] N. Nguyen estimates the derivatives of on the segment . Here, this segment is not necessary contained in and we introduce two points and which are -translations of and in the direction of the inward real normal at , being chosen sufficiently large (independent of and ) so that the segment is contained in . Thus the segments , and are contained in a polydisk ( independent of and ) and is chosen sufficiently large so that, if , for all , the anisotropic distance from to is equivalent to the distance from to .
The points and being on the boundary of , we have to control the variations of
[TABLE]
Let , , and let us estimate the derivatives of for (in particular in the three segments) and . Using lemmas 3.4, 3.5 and 3.6, and the fact that, if , , enlarging if necessary, (by 3.5), writing and in the -extremal basis we get
[TABLE]
On each of the three segments , and the increase in the direction is bounded, up to a multiplicative constant, by , and, by (5) of the geometry,
[TABLE]
so
[TABLE]
because (3.4) and
[TABLE]
because . Finally
[TABLE]
giving , and the proof is complete.
4. Proof of Theorem 2.6
We use the method developed for the proofs of theorems 2.1 and 2.3 of [CDM15].
In [CDM14b] we proved the following result: let be a gauge of and then:
Theorem 4.1** (Theorem 2.1 of [CDM14b]).**
Let , being a non negative rational number, and let be the Bergman projection of the Hilbert space . Then, for and , maps continuously the space into itself and, for , maps continuously the lipschitz space into itself.
If is as in 2.6 then there exists a strictly positive function in , , such that . Then we compare the regularity of and using the following formula (Proposition 3.1 of [CDM15]): for ,
[TABLE]
where is any operator solving the -equation for -closed forms in .
We first show that maps continuously into itself. Let , . For we choose the operator of 2.2 with , and we choose and an integer such that , as in 2.2, and . Let us prove, by induction, that for .
Assume this is true for . Then by 2.2,
[TABLE]
and, by 4.1,
[TABLE]
As is continuous and strictly positive we get .
Thus, maps into itself for . The same result for follows because is self-adjoint.
To prove that maps into itself, for , we use a similar induction argument using 2.1 instead of 2.2:
For we choose now the operator of 2.1 with , and such that , and for which there exists an integer such that . For , assume , . Then, 2.1 and 4.1 imply which gives . By induction this gives , concluding the proof of (1) of the theorem.
The proof of (2) of the theorem is now easy: assume , . Let such that . By part (1), , by (3) of 2.1, ( being the operator ), and, by 4.1, concluding the proof.
Remark*.*
@afterheading
- (1)
The restriction in 2.6 (instead of in [CDM14b]) is due to the method because if with , a priori does not exist. 2. (2)
The restriction is not natural and it is very probable that 2.6 is true with . To get that with our method we should first prove the result of 4.1 for a non negative real number. Looking at the proof in [CDM14b], this should be done proving point-wise estimates of the Bergman kernel of a domain of the form
[TABLE]
with large real numbers such that . The difficulty here being that is no more -smooth and thus the machinery induced by the finite type cannot be used.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[AB 79] E. Amar and A. Bonami, Mesure de Carleson d’ordre α 𝛼 \alpha et solutions au bord de l’équation ∂ ¯ ¯ \bar{\partial} , Bull. Soc. Math. France 107 (1979), 23–48.
- 2[AB 82] M. Andersson and B. Berndtsson, Henkin-Ramirez formulas with weight factors , Ann. Inst. Fourier 32 (1982), no. 2, 91–110.
- 3[AC 00] M. Anderssson and H. Carlsson, Estimates of solutions of the H p superscript 𝐻 𝑝 {H}^{p} and BMO corona problem , Math. Ann. 316 (2000), no. 1, 83–102.
- 4[Ale 01] W. Alexandre, Construction d’une fonction de support à la Diederich-Fornaess , Pub. IRMA, Lille 54 (2001), no. III.
- 5[Ale 11] by same author, A Berndtsson-Andersson operator solving ∂ ¯ ¯ \bar{\partial} -equation with W α superscript 𝑊 𝛼 {W}^{\alpha} -estimates on convex domains of finite type , Math. Z. 269 (2011), 1155–1180.
- 6[Bar 92] D Barrett, Behavior of the Bergman projection on the Diederich-Fornæss worm , Acta Math. 168 (1992), no. 1-2, 1–10.
- 7[BCD 98] J. Bruna, Ph. Charpentier, and Y. Dupain, Zeros varieties for the Nevanlinna class in convex domains of finite type in ℂ n superscript ℂ 𝑛 \mathbb{C}^{n} , Ann. of Math. 147 (1998), 391–415.
- 8[BG 95] A. Bonami and S. Grellier, Weighted Bergman projections in domains of finite type in ℂ 2 superscript ℂ 2 \mathbb{C}^{2} , Contemp. Math. 189 (1995), 65–80.
