Atomic decomposition and interpolation via the complex method for mixed norm Bergman spaces on tube domains over symmetric cones
David Bekolle, Jocelyn Gonessa, Cyrille Nana

TL;DR
This paper develops atomic decomposition and interpolation characterizations for mixed norm weighted Bergman spaces on tube domains over symmetric cones, using a Whitney decomposition and complex interpolation methods.
Contribution
It introduces an atomic decomposition theorem and characterizes interpolation spaces for mixed norm weighted Bergman spaces on symmetric cone tube domains.
Findings
Atomic decomposition theorem established for these spaces.
Interpolation spaces characterized via the complex method.
Provides tools for analysis on symmetric cone tube domains.
Abstract
Starting from an adapted Whitney decomposition of tube domains in over irreducible symmetric cones of we prove an atomic decomposition theorem in mixed norm weighted Bergman spaces on these domains. We also characterize the interpolation space via the complex method between two mixed norm weighted Bergman spaces.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Atomic decomposition and interpolation via the complex method for mixed norm Bergman spaces on tube domains over symmetric cones
DAVID BEKOLLE, JOCELYN GONESSA AND CYRILLE NANA
University of Ngaoundéré, Faculty of Science, Department of Mathematics, P. O. Box 454, Ngaoundéré, Cameroon
Université de Bangui, Faculté des Sciences, Département de Mathéma-tiques et Informatique, BP. 908, Bangui, République Centrafricaine
Faculty of Science, Department of Mathematics, University of Buea, P.O. Box 63, Buea, Cameroon
Abstract.
Starting from an adapted Whitney decomposition of tube domains in over irreducible symmetric cones of we prove an atomic decomposition theorem in mixed norm weighted Bergman spaces on these domains. We also characterize the interpolation space via the complex method between two mixed norm weighted Bergman spaces.
1. Introduction
The context and the notations are those of [13]. Let be an irreducible symmetric cone of rank r in a vector space of dimension n, endowed with an inner product for which is self-dual.
We recall that induces in a structure of Euclidean Jordan algebra with identity such that
[TABLE]
Let be a fixed Jordan frame in and
[TABLE]
be its associated Peirce decomposition of . We denote by
[TABLE]
the principal minors of with respect to the fixed Jordan frame . More precisely, is the determinant of the projection of , in the Jordan subalgebra . We have , when and the determinant of the Jordan algebra is given by The generalized power function on is defined as
[TABLE]
We adopt the following standard notations:
[TABLE]
For and real, the notation will stand for the vector whose coordinates are For and let denote the mixed norm Lebesgue space constisting of measurable functions on such that
[TABLE]
where
[TABLE]
(with the obvious modification if ). The mixed norm weighted Bergman space is the (closed) subspace of consisting of holomorphic functions. Following [11], is non-trivial if only if When , we write and which are respectively the usual weighted Lebesgue space and the usual weighted Bergman space. Moreover, when the orthogonal projector from the Hilbert space onto its closed subspace is called weighted Bergman projector. It is well known that is the integral operator on given by the formula
[TABLE]
where
[TABLE]
is the reproducing kernel on called weighted Bergman kernel of . Precisely, is the holomorphic determination of the -power which reduces to the function when .
Our first result is an atomic decomposition theorem for functions in mixed norm weighted Bergman spaces on tube domains over symmetric cones. It generalizes the result of [2] for usual weighted Bergman spaces on tube domains over symmetric cones and the result of [18] for mixed norm weighted Bergman spaces on the upper half-plane (the case
Theorem A**.**
Let s be a vector of such that Assume that extends to a bounded operator on . Then there is a sequence of points in and a positive constant such that the following assertions hold.
- (i)
For every sequence such that
[TABLE]
the series
[TABLE]
is convergent in . Moreover, its sum satisfies the inequality
[TABLE] 2. (ii)
Every function may be written as
[TABLE]
with
[TABLE]
Our second result is an interpolation theorem between mixed norm weighted Bergman spaces. It generalizes the result of [5] for usual weighted Bergman spaces. We adopt the following notation.
[TABLE]
Theorem B**.**
- (1)
Let be such that and let , be such that for every Then for every we have
[TABLE]
*with equivalent norms, where and . * 2. (2)
Let be such that Assume that extends to a bounded operator on for and Then for every we have
[TABLE]
with equivalent norms, where and 3. (3)
Let be such that let and let be such that We assume that extends to a bounded operator on Then for some values of , we have
[TABLE]
with equivalent norms, where and
We recall sufficient conditions on and s under which the weighted Bergman projector extends to a bounded operator on We adopt the following notations.
[TABLE]
and
[TABLE]
Theorem 1.1** ([12] and [17]).**
The weighted Bergman projector extends to a bounded operator on whenever in the following two cases:
- (i)
* and [12];* 2. (ii)
* and [17].*
We restrict to tube domains over Lorentz cones (). For real this problem was recently completely solved on tube domains over Lorentz cones (cf. [4] for a combination of results from [8] and [1]; cf. also [7] for the unweighted case ). For vectorial Theorem 1.1 was also extended in [4] to other values and
The plan of this paper is as follows. In Section 2, we overview some preliminaries and useful results about symmetric cones and tube domains over symmetric cones. In Section 3, we study atomic decomposition of mixed norm Bergman spaces and we prove a more precise statement of Theorem A. In Section 4, we study interpolation via the complex method between mixed norm weighted Bergman spaces and we prove Theorem B. In particular we give a more precise statement of assertion (3) of this theorem (Theorem 4.6) and we ask an open question. A final remark will point out a connection between the two main theorems of the paper (Theorem A and Theorem B).
For real, Theorem A and Theorem B were presented in the PhD dissertation of the second author [14].
2. Preliminaries
Materials of this section are essentially from [13]. We give some definitions and useful results.
Let be an irreducible symmetric cone of rank in a real vector space of dimension endowed with the structure of Euclidean Jordan algebra with identity e. In particular, is self-dual with respect to the inner product
[TABLE]
on .
2.1. Group action
Let be the group of linear transformations of the cone and its identity component. By definition, the subgroup of is a semi-simple Lie group which acts transitively on This gives the identification , where is a maximal compact subgroup of . More precisely,
[TABLE]
where is the orthogonal group in Furthermore, there is a solvable subgroup of acting simply transitively on . That is, every can be written uniquely as , for some
Let in be a fixed Jordan frame in (that is, a complete system of idempotents) and
[TABLE]
be its associated Peirce decomposition of where
[TABLE]
We have Then the solvable Lie group factors as the semidirect product of a nilpotent subgroup consisting of lower triangular matrices, and an abelian subgroup consisting of diagonal matrices. The latter takes the explicit form
[TABLE]
where is the quadratic representation of . This also leads to the Iwasawa and Cartan decompositions of the semisimple Lie group
[TABLE]
Still following [13], we shall denote by the principal minors of , with respect to the fixed Jordan frame . These are invariant functions under the group ,
[TABLE]
where , , , and satisfy a homogeneity relation under ,
[TABLE]
if .
The determinant function is also invariant under , and moreover, satisfies the formula
[TABLE]
where is the usual determinant of linear mappings. It follows from this formula that the measure is -invariant in
Finally, we recall the following version of Sylvester’s theorem.
[TABLE]
2.2. Geometric properties
With the identification , the cone can be regarded as a Riemannian manifold with the -invariant metric defined by
[TABLE]
if with and and are tangent vectors at . We shall denote by the corresponding invariant distance, and by the associated ball centered at with radius . Note that for each , the invariance of implies that . We also note that
- •
on compact sets of contained in the invariant distance is equivalent to the Euclidean distance in
- •
the associated balls in are relatively compact in .
We also need the following crucial invariance properties of and , obtained in [2, 1].
Lemma 2.1**.**
Let . Then there is a constant depending only on and such that for every and for , satisfying we have
[TABLE]
Lemma 2.2**.**
Let be fixed. Then there exist two constants , depending only on and , such that for every we have
[TABLE]
The next corollary is an easy consequence of the previous lemma.
Lemma 2.3**.**
Let . Then there is a positive constant such that for every such that we have
[TABLE]
for all .
2.3. Gamma function in
The generalized gamma function in is defined in terms of the generalized power functions by
[TABLE]
This integral is known to converge absolutely if and only if In this case,
[TABLE]
where is the classical gamma function. We shall denote when . In view of [13], the Laplace transform of a generalized power function is given for all by
[TABLE]
for each such that for all . We recall that whenever with Here denotes the adjoint of the transformation with respect to the inner product
The power function can be expressed in terms of the rotated Jordan frame . Indeed if we denote by , , the principal minors with respect to the rotated Jordan frame then
[TABLE]
Here .
2.4. Bergman distance on the tube domain
Following [2], we define a matrix function on by
[TABLE]
where is the unweighted Bergman kernel of i.e with . The map
[TABLE]
with
[TABLE]
defines a Hermitian metric on , called the Bergman metric. The Bergman length of a smooth path is given by
[TABLE]
and the Bergman distance between two points , of is
[TABLE]
where the infimum is taken over all smooth paths such that and . It is well known that the Bergman distance is equivalent to the Euclidean distance on the compact sets of contained in and the Bergman balls in are relatively compact in . Next, we again denote by the group of translations by vectors in . Then the group acts simply transitively on and the Bergman distance is invariant under the automorphisms of .
2.5. A Whitney decomposition of the tube domain
In the sequel, the Bergman ball in with centre at and radius will be denoted
Lemma 2.4**.**
There exists a constant such that for all and , the following inclusions hold :
[TABLE]
[TABLE]
where is the element of satisfying .
Proof.
From the invariance under translations and automorphisms of we have that
[TABLE]
for all . We recall that the Bergman distance and the Euclidean distance are equivalent on compact sets of contained in So there exists a constant such that
[TABLE]
for all . The proof of the lemma follows from the following equivalence
[TABLE]
and the equivalence given in Lemma 2.2 between and the Euclidean distance in on compact sets of contained in ∎
The starting point of our analysis is the following Whitney decomposition of the cone which was obtained e.g. in [1, 2].
Lemma 2.5**.**
There is a positive integer such that given , one can find a sequence of points in with the following property:
- (i)
the balls are pairwise disjoint; 2. (ii)
the balls cover ; 3. (iii)
each point of belongs to at most of the balls
Definition 2.6**.**
The sequence is called a -lattice of
Our goal is to obtain an atomic decomposition theorem for holomorphic functions in spaces. To this end, we need to derive a suitable version of the classical Whitney decomposition of . Let be a -lattice of and let be such that Let be a constant like in Lemma 2.4. We adopt the following notations:
[TABLE]
[TABLE]
where is a sequence in to be determined.
From Lemma 2.4 we have immediately the following.
Remark 2.7**.**
For the constant of Lemma 2.4, the following inclusion holds
[TABLE]
Lemma 2.8**.**
Let There exist a positive constant a positive integer and a sequence of points in such that the following hold.
- (i)
* form a cover of ;* 2. (ii)
* are pairwise disjoint;* 3. (iii)
for each every point of belongs to at most balls .
Proof.
Fix in and define the collection of sets in by
[TABLE]
Clearly the collection is non empty. Indeed the sets are members of . Furthermore, the collection is partially ordered with respect to inclusion.
Let be a totally ordered subcollection of We set Given two distinct elements of there are two members and of such that and But either or So we have either or Hence This shows that is a member of In other words, the collection is inductive. An application of Zorn’s lemma then gives that the collection has a maximal member We write
To prove assertion (ii), consider and such that and assume that contain at least an element . Then
[TABLE]
This would contradict the property that is a subset of which is a member of .
For assertion (i), let us suppose . Then there exists such that . Clearly the set is a member of . This would contradict the maximality of in . This completes the proof of assertion (i).
To prove assertion (iii), we fix Given it follows from assertion (i) that there exists a subset of such that
[TABLE]
We will show that there is a positive integer independent of such that for all and It follows from Lemma 2.4 and Lemma 2.5 that for every
[TABLE]
So the balls are pairwise disjoint since Moreover, for every we have
[TABLE]
For the first inclusion, we applied the triangle inequality. We obtain
[TABLE]
We call the invariant measure on given by
[TABLE]
We conclude that
[TABLE]
because
[TABLE]
We finally prove that the collection is countable. It suffices to show that for each the collection is countable. We fix To every set we assign a point of belonging to Since this defines a one-to-one correspondence from the collection to a subset of This shows that the collection is at most countable. Moreover the collection which has the same cardinal as the collection is infinite: the proof is elementary since is unbounded. The proof of the lemma is complete.
∎
Remark 2.9**.**
We just proved in Lemma 2.8 that for each the index set is countable. In analogy with the one-dimensional case [18], we took in the statement of Lemma 2.8 and in the statement of Theorem A.
2.6. A -lattice in
Definition 2.10**.**
The sequence defined in Lemma 2.8 will be called a -lattice in .
We have the following lemma.
Lemma 2.11**.**
Let be a -lattice in . There exists a positive constant such that for all , the following hold.
- (a)
[TABLE] 2. (b)
[TABLE]
Proof.
We denote the usual determinant of an endomorphism of
- (a)
We set Then
[TABLE]
For the second equality, we applied the formula (2.1). This proves assertion (a). 2. (b)
By assertion (iii) of Lemma 2.8, we have
[TABLE]
for every Then
[TABLE]
We set By Lemma 2.4, we have the implication
[TABLE]
with So
[TABLE]
But and This implies that Henceforth by Lemma 2.1. This gives assertion (b).
∎
3. Atomic decomposition
3.1. The sampling theorem
We first record the following lemma (See e.g. [2]).
Lemma 3.1**.**
Let Given , there exists a positive constant such that, for each holomorphic function in we have
- (i)
; 2. (ii)
if then
[TABLE]
For the second lemma, the reader should refer to [1], Lemma 4.5.
Lemma 3.2**.**
Suppose and . There exists a positive constant such that
[TABLE]
for every holomorphic function on and every .
The following is our sampling theorem.
Theorem 3.3**.**
Let satisfy the assumption of Corollary 2.3 and let be a -lattice in . Let and let be such that There exists a positive constant such that for every , we have
[TABLE]
Moreover, if is small enough, the converse inequality
[TABLE]
is also valid.
Proof.
From Lemma 3.1 we have
[TABLE]
It follows from the inclusion that
[TABLE]
From the equivalence of and whenever we obtain that
[TABLE]
Next, a successive application of Lemma 2.8, Corollary 2.3 and the non-increasing property of the function gives the existence of a positive constant such that
[TABLE]
Finally, we obtain
[TABLE]
We define the holomorphic function by
[TABLE]
By Lemma 3.2, we get
[TABLE]
It follows from (3.8), Lemma 2.5 and the equivalence of and whenever that
[TABLE]
Moreover, taking we obtain
[TABLE]
So the estimate (3.2) is a direct consequence of (3.7) and (3.9).
Conversely, a successive application of Lemma 2.8, the triangle inequality and assertion a) of Lemma 2.11 gives
[TABLE]
for all . In the sequel, for fixed we set
[TABLE]
and we write
[TABLE]
[TABLE]
Using assertion (ii) of Lemma 3.1, we obtain easily that
[TABLE]
To prove (3.3) it suffices to establish the following inequality:
[TABLE]
To this end, first observe that by assertion (b) of Lemma 2.11, we have
[TABLE]
Now by Lemma 2.1, we have the equivalence whenever and with equivalence constants independent of This combined with an application of assertion (iii) of Lemma 2.5 gives that
[TABLE]
Next, from the non-increasing property of the mapping Corollary 2.3 and the -invariance of the measure on there exists a positive constant independent of such that
[TABLE]
Finally, taking on the right hand side of the previous inequality, we obtain that
[TABLE]
∎
3.2. Proof of Theorem A
We can now prove the atomic decomposition theorem (Theorem A). Here is its more precise statement.
Theorem 3.4**.**
Let and let be a -lattice in Let s be a vector of such that Assume that extends to a bounded operator on . Then there exists a positive constant such that the following two assertions hold.
- (i)
For every sequence such that
[TABLE]
the series
[TABLE]
is convergent in . Moreover, its sum satisfies the inequality
[TABLE] 2. (ii)
For small enough, every function may be written as
[TABLE]
with
[TABLE]
Proof of Theorem 3.4.
Let and call and their conjugate exponents, i.e and . Let such that Recall that (cf. [11]) if is bounded, then the dual space of identifies with with respect to the pairing
[TABLE]
Denote by the space of complex sequences such that
[TABLE]
We have the duality with respect to the pairing
[TABLE]
Then from the first part of the sampling theorem, the operator
[TABLE]
is bounded. So the adjoint operator of is also a bounded operator from to . Its explicit formula is
[TABLE]
This completes the proof of assertion (i).
From the second part of the sampling theorem, if is small enough, the adjoint operator of is onto. Moreover, we call the subspace of consisting of all sequences such that the mapping
[TABLE]
vanishes identically. Then the linear operator
[TABLE]
is a bounded isomorphism from the Banach quotient space to . The inverse operator of is continuous. This gives assertion (ii). ∎
4. Interpolation
In this section we determine the interpolation space via the complex method between two mixed norm weighted Bergman spaces.
4.1. Interpolation via the complex method between Banach spaces
Throughout this section we denote by the open strip in the complex plane defined by
[TABLE]
Its closure is
[TABLE]
Let and be two compatible Banach spaces, i.e. they are continuously embedded in a Hausdorff topological space. Then becomes a Banach space with the norm
[TABLE]
We will denote by the space of analytic mappings
[TABLE]
with the following properties:
- (1)
is bounded and continuous on 2. (2)
is analytic in 3. (3)
For the function is bounded and continuous from the real line into .
The space is a Banach space with the following norm:
[TABLE]
If , the complex interpolation space is the subspace of consisting of holomorphic functions on such that for some . The space is a Banach space with the following norm:
[TABLE]
Referring to [6] and [19] (cf. also [22]), the complex method of interpolation spaces is functorial in the following sense: if and denote two other compatible Banach spaces of measurable functions on then if
[TABLE]
is a linear operator with the property that maps boundedly into and maps boundedly into , then maps boundedly into , for each . See [6] for more information about complex interpolation.
A classical example of interpolation via the complex method concerns spaces with a change of measures. We state it in our setting of a tube domain over a symmetric cone
Theorem 4.1**.**
[9, 20]** Let Given two positive measurable functions (weights) on then for every we have
[TABLE]
[TABLE]
with equal norms, provided that
[TABLE]
[TABLE]
[TABLE]
We finally record the Wolff reiteration theorem [21, 15] .
Theorem 4.2**.**
Let be compatible Banach spaces. Suppose and Then
[TABLE]
with
4.2. Preliminary results on tube domains over symmetric cones
We recall the following notations given in the introduction:
[TABLE]
and
[TABLE]
for every We recall the following two results ([17, 4]).
Lemma 4.3**.**
Let be such that Then the subspace is dense in the weighted Bergman space for all and
Corollary 4.4**.**
Let be such that Assume that and are such that extends to a bounded operator on Then is the identity on in particular
The following theorem was proved in [4].
Theorem 4.5**.**
Let and . Then the positive Bergman operator defined by
[TABLE]
is bounded on when and
[TABLE]
[TABLE]
In this case, extends to a bounded operator from onto
Proof.
For the first part of this theorem is just the case in Theorem 3.8 of [4] for symmetric cones. The case is an easy exercise (cf. e.g. Theorem II.7 of [3]). The proof of the surjectivity of uses the previous corollary. ∎
4.3. Proof of Theorem B
(1) We adopt the following notations:
[TABLE]
and
[TABLE]
It suffices to show the existence of a positive constant such that the following two estimates are valid.
[TABLE]
[TABLE]
We first the estimate (4.1). By Theorem 4.1, we have
[TABLE]
with equivalent norms, provided that
[TABLE]
[TABLE]
[TABLE]
In particular, for every we have
[TABLE]
By Theorem 4.5, for t large (i.e. each is large), the weighted Bergman projector extends to a bounded operator from onto and hence from onto Then by Corollary 4.4, for every and for every we have
Now let For we define the mapping
[TABLE]
by Then and if we have So
[TABLE]
for every such that By Theorem 4.5, we get
[TABLE]
This proves the estimate (4.1).
We next prove the estimate (4.2). Let We first suppose that i.e. in the Banach space We notice that
[TABLE]
for all This implies that
[TABLE]
and hence By the estimate (4.3), we obtain
We next suppose that There exists such that and By (4.3) and (4.4), we obtain:
[TABLE]
This proves the estimate (4.2).
(2) In this assertion, we have The weighted Bergman projector extends to a bounded operator from onto and hence from onto Then by Corollary 4.4, for every we have The proof of assertion (2) is the same as the proof of assertion (1) with in the present case. More precisely, for the proof of the estimate (4.1), we replace the mapping
[TABLE]
with by the mapping
[TABLE]
with The proof of the estimate (4.2) remains the same. (3) We are going to prove the following more precise statement.
Theorem 4.6**.**
Let be such that Let and let be such that Assume that extends to a bounded operator on Let be related by the equation
[TABLE]
*and assume that *
[TABLE]
Then for we have
[TABLE]
with equivalent norms, with
[TABLE]
and
[TABLE]
Proof.
We apply the Wolff reiteration theorem (Theorem 4.2) with and On the one hand, we observe that and hence the couple satisfies the condition
[TABLE]
of Theorem 1.1. So extends to a bounded operator on as well as we assumed that extends to a bounded operator on We next apply assertion (2) of Theorem B to get the identity with and defined by the system
On the other hand, the condition and the definition of given by the second equality of imply that We recall that Then by assertion (1) of Theorem B, we obtain the identity with
[TABLE]
The latter identity and the second identity of give the relation The former identity and the first identity of give the relation
∎
Question. Can Theorem 4.6 and consequently Theorem B be extended to other values of the interpolation parameters ?
Final remark. We recall that if there exists a mapping such that For real and an explicit construction was presented in [5] for such a mapping in terms of an analytic family of operators and the atomic decomposition of the relevant (usual) Bergman spaces and this construction was generalized in [14] to mixed norm Bergman spaces associated to the same scalar parameter . It may be interesting to extend this construction to mixed norm Bergman spaces associated to more general vectors
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] D. Békollé, A. Bonami, G. Garrigós, F. Ricci , Littlewood-Paley decompositions related to symmetric cones and Bergman projections in tube domains, Proc. London Math. Soc. (3) 89 (2004), 317-360.
- 2[2] D. Békollé, A. Bonami, G. Garrigós, C. Nana, M. M. Peloso, F. Ricci , Lecture notes on Bergman projectors in tube domains over cones: an analytic and geometric viewpoint , IMHOTEP 5 (2004), Exposé I, Proceedings of the International Workshop in Classical Analysis, Yaoundé 2001.
- 3[3] D. Békollé, A. Temgoua Kagou , Reproducing properties and L p superscript 𝐿 𝑝 L^{p} -estimates for Bergman projections in Siegel domains of type I I 𝐼 𝐼 II , Studia Math . 115 (3) (1995), 219-239.
- 4[4] D. Békollé, J. Gonessa and C. Nana , Lebesgue mixed norm estimates for Bergman projectors: from tube domains over homogeneous cones to homogeneous Siegel domains of type II, preprint .
- 5[5] by same author, Complex interpolation between two weighted Bergman spaces on tubes over symmetric cones. C. R. Acad. Sci. Paris . Ser. I 337 (2003), 13-18.
- 6[6] J. Bergh and J. Löfström, Interpolation Spaces An Introduction , Springer-Verlag Berlin Heidelberg New York (1976).
- 7[7] A. Bonami and C. Nana, Some questions related to the Bergman projection in symmetric domains, Adv. Pure Appl. Math. 6 , No. 4, 191-197 (2015).
- 8[8] J. Bourgain and C. Demeter , The proof of the l 2 superscript 𝑙 2 l^{2} -decoupling conjecture, Ann. of Math. 182 , No. 1 (2015), 351-389.
