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Composition operators on Bergman-Orlicz spaces on the ball
Stéphane Charpentier
To cite this version:
Stéphane Charpentier. Composition operators on Bergman-Orlicz spaces on the ball. 2010. �hal-
00495462v2�
ON THE BALL
ST´EPHANE CHARPENTIER
Abstract. We give embedding theorems for weighted Bergman-Orlicz spaces on the ball and then apply our results to the study of the boundedness and the compactness of composition operators in this context. As one of the motivations of this work, we show that there exist some weighted Bergman-Orlicz spaces, different fromH∞, on which every composition operator is bounded.
1. Introduction and preliminaries
1.1. Introduction. Let B
Ndenote the unit ball in C
Nand φ an analytic map from B
Ninto itself. In this paper, we are interesting in characterizing the continuity and the compactness of composition operators C
φ, defined by C
φ(f ) = f ◦ φ, on weighted Bergman-Orlicz spaces. On the classical weighted Bergman spaces A
pα( B
N), or on the Hardy spaces H
p( B
N) as well, the boundedness or the compactness of C
φcan be characterized in terms of Carleson measures (see e.g. [1]). In one variable, the Littlewood subordination principle is known to be the main tool to show that composition operators are always bounded on these spaces, whereas B. MacCluer and J. Shapiro exhibited self-maps φ on B
N(N > 1) inducing non-bounded composition operators on A
pα( B
N) or on H
p( B
N). As for the compactness, the same authors gave an example of a surjective analytic self-map of D defining a compact composition operators on these spaces ([9]).
In comparison, it is easy to check that every C
φis bounded on H
∞and is compact if and only if kφk
∞< 1, whatever N ≥ 1. This arises the question: what is the behavior of composition operators on significant spaces between H
∞and A
pα( B
N) (or H
p( B
N))?
This question motivated P. Lef`evre, D. Li, H. Queff´elec and L. Rodr´ıguez-Piazza to start, since 2006, a systematic study of composition operators on Bergman-Orlicz spaces A
ψ( D ) and Hardy- Orlicz spaces H
p( D ) on the unit disk of C (e.g. [6, 7, 4, 5]). Indeed, these spaces reveals to be a satisfying intermediate scale of spaces between H
∞and the classical Bergman or Hardy spaces, depending on the growth of the Orlicz function ψ. As a part of their work, they gave an analytic surjective self-map φ : D → D such that C
φis compact on H
p( D ), extending the preceding result by MacCluer and Shapiro. They partially solved the same problem in the context of Bergman- Orlicz spaces, by underlying the fact that the compactness of C
φon some Hardy-Orlicz spaces implies the compactness of C
φon the correspondant Bergman-Orlicz spaces. By the way, they prove that it is unlikely to find Orlicz functions ψ such that compactness of composition operators on A
ψ( D ) (and definitely on H
p( D )) should be equivalent to that on H
∞.
Yet, looking at the several variables setting, the same kind of question arises, but now even for continuity, since there exists symbol φ such that C
φis not bounded on the classical Bergman spaces A
p( B
N), although every C
φis bounded on H
∞. The purpose of this paper is to investigate this problem for weighted Bergman-Orlicz spaces, that is to answer the question: does there exist some Orlicz function ψ such that every composition operator is bounded on the weighted Bergman- Orlicz space A
ψα( B
N)? To do this, we need to characterize boundedness of composition operators on Bergman-Orlicz spaces, in a general enough fashion. By passing, we give a characterization of the compactness of C
φon A
ψα( B
N), which may arise new questions and provide eventually a better understanding of the behavior of composition operators on these spaces.
We have to mention that, in 2010, Z. J. Jiang gave embedding theorems and characterizations of the boundedness and the compactness of composition operators on Bergman-Orlicz spaces A
ψ( B
N)
2000 Mathematics Subject Classification. Primary: 47B33 - Secondary: 32C22; 46E15.
Key words and phrases. Bergman-Orlicz space - Carleson measure - Composition operator.
1
when ψ satisfies the so-called ∆
2-Condition ([2]). This condition somehow implies that the space A
ψ( B
N) is “closed” to a classical Bergman space and, as we could guess, these characterizations are the same than that known for Bergman spaces; their applications to composition operators do not provide different results from that obtained in the classical framework; especially, they give no information for “small” Bergman-Orlicz spaces, in which we are especially interesting in.
This paper is organized as follows: after introducing the notions and materials in Section 1, we give, in section 2, general embedding theorems for weighted Bergman-Orlicz spaces. Precisely, given two arbitrary Orlicz functions ψ
1and ψ
2, we exhibit in Theorem 2.5 and Theorem 2.9 necessary and sufficient conditions on a measure µ on the ball under which the canonical embedding A
ψα1( B
N) ֒ → L
ψ2(µ) holds or is compact. In general, we do not get characterizations, yet we see that we do when ψ
1= ψ
2satisfies some convenient regular conditions. In Section 3, applications are given to composition operators and, as a consequence, we exhibit a class of Orlicz functions defining weighted Bergman-Orlicz spaces on which every composition operator is bounded.
1.2. Orlicz spaces - Notations.
1.2.1. Definitions. In this whole paper, we denote by ψ : R
+→ R
+an Orlicz function, i.e. a strictly convex function vanishing at 0, continuous at 0 and satisfying
ψ(x) x −−−→
x→∞
+∞.
Note that an Orlicz function is non-decreasing. Considering a probability space (Ω, P ), we define the Orlicz space L
ψ(Ω) as the space of all (equivalence classes of) measurable complex functions f on Ω for which there is a constant C > 0 such that
Z
Ω
ψ |f |
C
d P < ∞.
This space may be normalized by the Luxemburg norm kf k
ψ= inf
C > 0,
Z
Ω
ψ |f |
C
d P ≤ 1
, which makes
L
ψ(Ω) , k.k
ψa Banach space such that L
∞(Ω) ⊂ L
ψ(Ω) ⊂ L
1(Ω). Observe that if ψ(x) = x
pfor every x, then L
ψ(Ω) = L
p(Ω). It is usual to introduce the Morse-Transue space M
ψ(Ω), which is the subspace of L
ψ(Ω) generated by L
∞(Ω).
To every Orlicz function ψ, we shall associate its complementary function Φ : R
+→ R
+defined by
Φ(y) = sup
x∈R+
{xy − ψ(x)} .
We may verify that Φ is also an Orlicz function (see [10], Section 1.3). If both L
Φ(Ω) and L
ψ(Ω) are normed by the Luxemburg norm, then L
Φ(Ω) is isomorphic to the dual of M
ψ(Ω) ([10, IV, 4.1, Theorem 7]).
1.2.2. Three classes of Orlicz functions. We now introduce essentially three classes of Orlicz func- tions which will appear several times in this paper. This part may appear a little bit technical, but we would like to convince the reader that this classification, which permits to get a meaningful scale of Orlicz spaces between L
∞and L
p, is quite natural.
• The first class is that of Orlicz functions which satisfy the so-called ∆
2-Condition which is a condition of moderate growth.
Definition 1.1. Let ψ be an Orlicz function. We say that ψ satisfies the ∆
2-Condition if there exist x
0> 0 and a constant K > 1, such that
ψ (2x) ≤ Kψ (x)
for any x ≥ x
0.
For example, x 7−→ ax
p(1 + b log (x)), p > 1, a > 0 and b ≥ 0, satisfies the ∆
2-Condition.
Corollary 5, Chapter II of [10] gives:
Proposition 1.2. Let ψ be an Orlicz function satisfying the ∆
2-Condition, then there are some p > 1 and C > 0 such that ψ (x) ≤ Cx
p, for x large enough. Therefore, L
p⊂ L
ψ⊂ L
1, for some p > 1.
• The two following conditions are also regular conditions which are satisfied by most of the Orlicz functions that we are interesting in.
Definition 1.3. Let ψ be an Orlicz function. We say that ψ satisfies the ∇
0-Condition if there exist some x
0> 0 and some constant C ≥ 1, such that for every x
0≤ x ≤ y we have
ψ (2x)
ψ (x) ≤ ψ (2Cy) ψ (y) .
We refer to Proposition 4.6 of [6] to verify that we have the following:
Proposition 1.4. Let ψ be an Orlicz function. Then ψ satisfies the ∇
0-Condition if and only if there exists x
0> 0 such that for every (or equivalently one) β > 1, there exists a constant C
β≥ 1 such that
ψ (βx)
ψ (x) ≤ ψ (βC
βy) ψ (y) for every x
0≤ x ≤ y.
Furthermore, the following class will be of interest for us: ψ satisfies the uniform ∇
0- Condition if it satisfies the ∇
0-Condition for a constant C
β≥ 1 independent of β > 1.
• Finally, one defines a class of Orlicz functions which grow fast:
Definition 1.5. Let ψ be an Orlicz function. ψ satisfies the ∆
2-Condition if and only if there exist x
0> 0 and a constant C > 0, such that
ψ (x)
2≤ ψ (Cx) , for every x ≥ x
0.
The convexity and the non-decrease of Orlicz functions give the following proposition, whose content can be found in [10, Chapter II, Paragraph 2.5, pages 40 and further] or in [3, Chapter I, Section 6, Paragraph 5]:
Proposition 1.6. Let ψ be an Orlicz function. The assertions:
(1)ψ satisfies the ∆
2-Condition;
(2)There exist b > 1, C > 0 and x
0> 0 such that ψ (x)
b≤ ψ (Cx), for every x ≥ x
0;
(3)For every b > 1, there exist C
b> 0 and x
0,b> 0 such that ψ (x)
b≤ ψ (C
bx), for every x ≥ x
0,b.
are equivalent.
The next proposition ([10, Chapter II, Paragraph 2, Proposition 6]) shows that an Orlicz function which satisfies the ∆
2-Condition need to have at least an exponential growth.
Proposition 1.7. Let ψ be an Orlicz function which satisfies the ∆
2-Condition. There exist a > 0 and x
0> 0 such that
ψ (x) ≥ e
ax, for every x ≥ x
0.
If ψ satisfies ∆
2-Condition, we shall say that L
ψ(Ω) is a “small” Orlicz space, i.e. “far” from any L
p(Ω) and “close” to L
∞.
To finish, we recall Proposition 4.7 (2) of [6]:
Proposition 1.8. Let ψ be an Orlicz function. If ψ satisfies the ∆
2-Condition, then it satisfies
the uniform ∇
0-Condition.
Let us notice that for any 1 < p < ∞, every function x 7−→ x
pis an Orlicz function which satisfies the uniform ∇
0-Condition, and then the ∇
0-condition. It also satisfies the ∆
2-Condition.
Furthermore, for any a > 0 and b ≥ 1, x 7−→ e
axb− 1 belongs to the ∆
2-Class (and then to the uniform ∇
0-Class), yet not to the ∆
2-one. In addition, the Orlicz functions which can be written x → exp
a (ln (x + 1))
b− 1 for a > 0 and b ≥ 1, satisfy the ∇
0-Condition, but do not belong to the ∆
2-Class.
For a complete study of Orlicz spaces, we refer to [3] and to [10]. We can also find precise information in context of composition operators, such as other classes of Orlicz functions and their link together with, in [6].
1.3. Weighted Bergman-Orlicz spaces on B
N. Let α > −1 and let dv
αbe the normalized weighted Lebesgue measure on B
Ndv
α(z) = c
α1 − |z|
2αdv (z) ,
where dv is the normalized volume Lebesgue measure on B
N. The constant c
αis equal to c
α= Γ (n + α + 1)
n!Γ (α + 1) .
With the notations of the previous subsection, if (Ω, P ) = ( B
N, dv
α), then the weighted Bergman- Orlicz space A
ψα( B
N) on the ball is H ( B
N) ∩ L
ψα( B
N), where H ( B
N) is the space of holomorphic functions on B
N, and where the subscript α remains that the probabilistic measure is the weighted normalized measure dv
αon B
N. We have A
ψα( B
N) ⊂ A
1α( B
N) and it is classical to check that, if A
ψα( B
N) is endowed with the Luxemburg norm k.k
ψ, then it is a Banach space.
For a ∈ B
N, we denote by δ
athe point evaluation functional at a. The following proposition infers that δ
ais bounded on every A
ψα( B
N).
Proposition 1.9. Let α > −1 and let ψ be an Orlicz function. Let also a ∈ B
N. Then the point evaluation functional δ
aat a is bounded on A
ψα( B
N); more precisely, we have
1
4
N+1+αψ
−11 + |a|
1 − |a|
N+1+α!
≤ kδ
ak ≤ ψ
−11 + |a|
1 − |a|
N+1+α! . Proof. We denote by H
athe Berezin kernel at a, defined by
H
a(z) = 1 − |a|
2|1 − hz, ai|
2!
N+1+α, z ∈ B
N.
It is not hard to check -and well-known- that kH
ak
∞=
1+|a|
1−|a|
N+1+αand that kH
ak
L1= 1. Let ϕ
abe an automorphism of B
Nsuch that ϕ (0) = a. Fix f ∈ A
ψα( B
N) and set C = kf k
Aψα
. By the change of variables formula (e.g. [12], Proposition 1.13), and using the subharmonicity of ψ
|f ◦ ϕ
a| C
, we get ψ
|f (a)|
C
≤ Z
BN
ψ
|f ◦ ϕ
a| C
dv
α=
Z
BN
ψ
|f (z)|
C
H
a(z) dv
α(z) . Since ψ
−1is non-decreasing, we obtain
|f (a)| ≤ Cψ
−11 + |a|
1 − |a|
N+1+α!
,
hence the intended upper estimate.
Conversely, we compute δ
a(H
a). It gives kδ
ak ≥ |H
a(a)|
kH
ak
Aψα
≥ 1
1 − |a|
2N+1+αψ
−1(kH
ak
∞)
kH
ak
∞(by [6, Lemma 3.9])
≥ 1
4
N+1+αψ
−11 + |a|
1 − |a|
N+1+α! . (1.1)
2. Embedding Theorems for Bergman-Orlicz spaces
We will need a version of Carleson’s theorem for Bergman spaces slightly different from the traditional one. This is inspired from [5]. Anyway, as for the study of continuity and compactness of composition operators on Bergman spaces or Hardy spaces of the ball in terms of Carleson measure, we will need to introduce the objects and notions involved. We first recall the definition of the non-isotropic distance on the sphere S
N, which we denote by d. For (ζ, ξ) ∈ S
2N
, it is given by
d (ζ, ξ) = p
|1 − hζ, ξi|.
We may verify that the map d is a distance on S
Nand can be extended to B
N, where it still satisfies the triangle inequality. For ζ ∈ B
Nand h ∈ ]0, 1], we define the non-isotropic “ball” of B
Nby
S (ζ, h) = n
z ∈ B
N, d (ζ, z)
2< h o . and its analogue in B
Nby
S (ζ, h) = n
z ∈ B
N, d (ζ, z)
2< h o . Let us also denote by
Q = S (ζ, h) ∩ S
Nthe “true” balls in S
N. Next, for ζ ∈ S
Nand h ∈ ]0, 1], we define W (ζ, h) =
z ∈ B
N, 1 − |z| < h, z
|z| ∈ Q (ζ, h)
. W (ζ, h) is called a Carleson window.
We introduce the two following functions ̺
µand K
µ,α:
̺
µ(h) = sup
ξ∈SN
µ (W (ξ, h)) where µ is positive Borel measure on B
N. We now set
K
µ,α(h) = sup
0<t≤h
̺
µ(t) t
N+1+α.
µ is said to be an α-Bergman-Carleson measure if K
µ,αis bounded. As
(2.1) t
N+1+α∼ v
α(W (ξ, t))
for every ξ ∈ S
N, this is equivalent to the existence of a constant C > 0 such that µ (W (ξ, h)) ≤ Cv
α(W (ξ, h))
for any ξ ∈ S
Nand any h ∈ (0, 1) (or equivalently any h ∈ (0, h
A) for some 0 < h
A≤ 1). Let us remark that, in the definition of ̺
µand K
µ,α, we may have taken S (ξ, h) instead of W (ξ, h), since these two sets are equivalent in the sense that there exist two constants C
1> 0 and C
2> 0 such that
S (ξ, C
1h) ⊂ W (ξ, h) ⊂ S (ξ, C
2h) .
Next we may work indifferently with non-isotropic balls or Carleson windows if there is no possible confusion.
We have the following covering lemma which will be useful for our version of Carleson’s theorem:
Lemma 2.1. There exists an integer M > 0 such that for any 0 < r < 1, we can find a finite sequence {ξ
k}
mk=1(m depending on r) in S
Nwith the following properties:
(1) S
N= S
k
Q (ξ
k, r).
(2) The sets Q (ξ
k, r/4) are mutually disjoint.
(3) Each point of S
Nbelongs to at most M of the sets Q (ξ
k, 4r).
Proof. The proof, using a variant of [12, Lemma 2.22] for the non-isotropic distance at the bound- ary is quite identical to that of [12, Theorem 2.23]. The fact that we can take a finite union follows
from a compactness argument.
From now on, M will always stand for the constant involved in Lemma 2.1. We will now define a maximal operator associated to a covering of the ball with convenient subsets. Let n ≥ 0 be an integer and denote by C
nthe corona
C
n=
z ∈ B
N, 1 − 1
2
n≤ |z| < 1 − 1 2
n+1.
For any n ≥ 0, let (ξ
n,k)
k⊂ S
Nbe given by Lemma 2.1 putting r = 1
2
n. For k ≥ 0, we set T
0,k=
z ∈ B
N\ {0} , z
|z| ∈ Q (ξ
0,k, 1)
∪ {0} . Then let us define the sets T
n,k, for n ≥ 1 and k ≥ 0, by
T
n,k=
z ∈ B
N\ {0} , z
|z| ∈ Q
ξ
n,k, 1 2
n. We have both
[
n≥0
C
n= B
Nand
[
k≥0
T
0,k= B
Nand [
k≥0
T
n,k= B
N\ {0} , n ≥ 1.
For (n, k) ∈ N
2, we finally define the subset ∆
(n,k)of B
Nby
∆
(n,k)= C
n∩ T
n,k. We have
∆
(0,k)= (W (ξ
0,k, 1) ∩ C
0) ∪ {0} ;
∆
(n,k)= W
ξ
n,k, 1 2
n∩ C
n, n ≥ 1.
By construction, the ∆
(n,k)’s satisfy the following properties:
(1) S
(n,k)∈N2
∆
(n,k)= B
N.
(2) For every (n, k), ∆
(n,k)is a subset of the closed Carleson window W
ξ
n,k, 1 2
nand by construction, we can find a constant ˜ C > 0, independent of (n, k) such that
v
αW
ξ
n,k, 1
2
n≤ Cv ˜
α∆
(n,k).
(3) Given 0 < ε < 1/2, if C
nεdenotes the corona defined by C
nε=
z ∈ B
N, (1 + ε)
1 − 1 2
n≤ |z| < (1 + ε)
1 − 1 2
n+1, then each point of B
Nbelongs to at most M of the sets ∆
ε(n,k)’s defined by
∆
ε(0,k)= (W (ξ
0,k, 1 + ε) ∩ C
0ε) ∪ {0} ;
∆
ε(n,k)= W
ξ
n,k, (1 + ε) 1 2
n∩ C
nε, n ≥ 1.
This comes from the construction and the previous covering lemma. In particular, we have X
(n,k)∈N2
v
α∆
ε(n,k)≤ M v
α( B
N) = M.
For any f ∈ A
ψα( B
N), we define the following maximal function Λ
f:
(2.2) Λ
f= X
n,k≥0
sup
∆(n,k)
(|f (z)|) χ
∆(n,k)where χ
∆(n,k)is the characteristic function of ∆
(n,k). The next proposition says that the maximal operator Λ : f 7−→ Λ
fis bounded from A
ψα( B
N) to L
ψα( B
N, v
α).
Proposition 2.2. Let ψ be an Orlicz function and let α > −1. Then the maximal operator Λ is bounded from A
ψα( B
N) to L
ψα( B
N, v
α). More precisely there exists B ≥ 1 such that for every f ∈ A
ψα( B
N), we have
kΛ
fk
Lψα
≤ 2B kf k
Aψ α. Proof. Fix f ∈ A
ψα( B
N) and set C = kf k
Aψα
. We denote by c
(n,k)= sup
∆(n,k)
(|f |) and let τ
(n,k)∈
∆
(n,k)be such that
f τ
(n,k)≥ c
(n,k)2 . Since ψ ◦ |f |
C is subharmonic, and by a usual refined submean property, we have
Z
BN
ψ Λ
f2C
dv
α≤ X
n,k≥0
ψ
f τ
(n,k)C
!
v
α∆
(n,k)≤ X
n,k≥0
v
α∆
(n,k)v
α∆
ε(n,k)Z
∆ε(n,k)
ψ |f |
C
dv
α.
A classical computation shows that
v
α∆
(n,k)v
α∆
ε(n,k)≤ D
ε,
where D
εis a positive constant which only depends on ε. Therefore we get, Z
BN
ψ Λ
f2C
dv
α≤ D
εX
n,k≥0
Z
∆ε(n,k)
ψ |f |
C
dv
α.
Now, we have C
nε= ∪
k≥0∆
ε(n,k)and, by construction of the ∆
(n,k)’s, for every n, each point of C
nεbelongs to at most M of the sets ∆
ε(n,k). Then, for n fixed,
X
k≥0
Z
∆ε(n,k)
ψ |f |
C
dv
α≤ M Z
Cnε
ψ |f |
C
dv
α.
Next, we of course have B
N⊂ ∪
n≥0C
nεand each point of B
Nbelongs to at most 3 of the C
nε’s. It follows that
Z
BN
ψ Λ
f2C
dv
α≤ D
εM X
n≥0
Z
Cnε
ψ |f|
C
dv
α≤ B Z
BN
ψ |f |
C
dv
αfor some constant B ≥ 1. Now, by convexity, we get Z
BN
ψ Λ
f2BC
dv
α≤ 1, hence kΛ
fk
Lψα
≤ 2B kf k
Aψα
.
We state our version of Carleson’s theorem as follows:
Theorem 2.3. There exists a constant C > ˜ 0 such that, for every f ∈ A
1α( B
N) and every positive finite Borel measure µ on B
N, we have
µ ({z ∈ B
N, |z| > 1 − h and |f (z)| > t}) ≤ CK ˜
µ,α(2h) v
α({Λ
f> t}) for every h ∈ (0, 1/2) and every t > 0.
Proof. The proof is quite identical to that of [5, Lemma 2.3]. Anyway, we prefer to give the details.
Fix 0 < h < 1 and t > 0. We identify i ∈ N and (n, k) ∈ N
2thanks to an arbitrary bijection from N
2onto N . We will write i ←→ (n, k) without possible confusion. Define
I =
i ←→ (n, k) , sup
∆i
|f | > t
and
I
h=
i ←→ (n, k) , h > 1
2
n+1and sup
∆i
|f | > t
.
Denoting by W
ithe smallest Carleson window containing ∆
i, by the three properties of the ∆
i’s listed above, we can find some constants C > 0 and ˜ C > 0 such that
µ ({z ∈ B
N, |z| > 1 − h and |f (z)| > t}) ≤ X
i∈Ih
µ (∆
i)
≤ X
i∈Ih
µ (W
i)
≤ C X
i∈Ih
K
µ,α(2h) v
α(W
i)
≤ C CK ˜
µ,α(2h) X
i∈I
v
α(∆
i) .
The third inequality comes from (2.1) and from the fact that, for every i ∈ I
h, as the radius of W
iis smaller than 1
2
n, it is then smaller than 2h. Now, as each point of B
Nbelongs to at most M of the ∆
i’s, we have
X
i∈I
v
α(∆
i) ≤ M v
α[
i∈I
∆
i!
≤ M v
α({Λ
f> t}) . and
µ ({z ∈ B
N, |z| > 1 − h and |f (z)| > t}) . K
µ,α(2h) v
α({Λ
f> t}) .
The last lemma gives the following technical result.
Lemma 2.4. Let µ be a finite positive Borel measure on B
Nand let ψ
1and ψ
2be two Orlicz functions. Assume that there exist A > 0, η > 0 and h
A∈ (0, 1/2) such that
K
µ,α(h) ≤ η 1/h
N+1+αψ
2Aψ
−11(1/h
N+1+α)
for every h ∈ (0, h
A). Then, there exist three constants B > 0, x
A> 0 and C
1(this latter does not depend on A, η and h
A) such that, for every f ∈ A
ψα1( B
N) such that kf k
Aψα1
≤ 1, and every Borel subset E of B
N, we have
Z
E
ψ
2|f |
B
dµ ≤ µ (E) ψ
2(x
A) + C
1η Z
BN
ψ
1(Λ
f) dv
α. Proof. For f ∈ A
ψα1( B
N), kf k
Aψα1
≤ 1, and E a Borel subset of B
N, we begin by writing the following formula, based on Fubini’s integration:
(2.3)
Z
E
ψ
2(|f |) dµ = Z
∞0
ψ
2′(t) µ ({|f | > t} ∩ E) dt.
We concentrate our attention on the expression µ ({|f | > t}). We use the upper estimate of the point evaluation functional obtained in Proposition 1.9 to get that if |f (z)| > t, then, since kf k
Aψα1
≤ 1, we have
t < ψ
1−11 + |z|
1 − |z|
N+1+α!
≤ 2
N+1+αψ
−111 1 − |z|
N+1+α! (2.4)
because ψ is a convex function. Inequality (2.4) is now equivalent to the following one:
|z| > 1 − 1 ψ
1 2N+1+αt!
1/(N+1+α). Carleson’s theorem (Theorem 2.3) then yields that
µ ({|f | > t}) = µ
{|f | > t} ∩
|z| > 1 − 1 ψ
1 2N+1+αt!
1/(N+1+α)
≤ CK ˜
µ,α
2
1 ψ
1t 2
N+1+α
1/(N+1+α)
v
α({Λ
f> t}) . (2.5)
Now, if A, h
Aand η are as in the statement of the lemma, then, if 1
2
N+1+αψ
13.2
N+αA s
> 1/h
N+1+αAi.e. s ≥ x
A:= A
3.2
N+αψ
1−1(2/h
A)
N+1+α, then
(2.6) K
µ,α
2
1 ψ
13.2
N+αA s
1/(N+1+α)
≤ η
2
N+1+αψ
13.2
N+αA s
ψ
2 32s .
Hence, applying (2.3) to A
6.4
N+α|f |, together with (2.5) and (2.6), and putting t = 6.4
N+αA s in (2.5), we get
(2.7) Z
E
ψ
2A
6.4
N+α|f |
dµ ≤ Z
xA0
ψ
′2(s) µ (E) ds
+ η C ˜ 2
N+1+αZ
∞xA
ψ
′2(s) ψ
13.2
N+αA s
ψ
2 32s v
αΛ
f> 6.4
N+αA s
ds.
For the second integral of the right hand side, notice that for an Orlicz function ψ, we have xψ
′(x) ≤ Cψ
(C + 1) x C
for any C > 0 and any x ≥ 0. Indeed, as ψ
′(t) is non-decreasing, we have x
C ψ
′(x) ≤ Z
C+1C x x
ψ
′(t) dt ≤ ψ
C + 1 C x
. Therefore
ψ
2′(s) ψ
2 32s ≤ 2
s and (2.7) yields
Z
E
ψ
2A 6.4
N+α|f |
dµ ≤ ψ
2(x
A) µ (E) + η C ˜
2
N+αZ
∞xA
1 s ψ
13.2
N+αA s
v
αΛ
f> 6.4
N+αA s
ds.
Using the convexity of the function ψ
1, we get Z
E
ψ
2A
6.4
N+α|f |
dµ ≤ ψ
2(x
A) µ (E) + η C ˜
2
N+α3.2
N+αA
Z
∞0
ψ
′13.2
N+αA s
v
αΛ
f> 6.4
N+αA s
ds i.e.
Z
E
ψ
2A
6.4
N+α|f |
dµ ≤ ψ
2(x
A) µ (E) + η C ˜ 2
N+αZ
∞ 0ψ
′1(u)v
αΛ
f> 2
N+1+αu du
≤ ψ
2(x
A) µ (E) + η C ˜ 2.4
N+αZ
BN
ψ
1(Λ
f) dv
αand the proof of the lemma is complete.
2.1. The canonical embedding A
ψα1( B
N) ֒ → L
ψ2(µ). We state our boundedness theorem in the Bergman-Orlicz spaces framework as follows:
Theorem 2.5. Let µ be a finite positive Borel measure on B
Nand let ψ
1and ψ
2be two Orlicz functions. Then:
(1) If inclusion A
ψα1( B
N) ⊂ L
ψ2(µ) holds and is continuous, then there exists some A > 0 such that
(2.8) ̺
µ(h) = O
h→01
ψ
2Aψ
1−1(1/h
N+1+α)
!
.
(2) If there exists some A > 0 such that
(2.9) K
µ,α(h) = O
h→01/h
N+1+αψ
2Aψ
1−1(1/h
N+1+α)
!
then inclusion A
ψα1( B
N) ⊂ L
ψ2(µ) holds and is continuous.
(3) If in addition ψ
1= ψ
2= ψ satisfies the uniform ∇
0-Condition, then Conditions (2.8) and (2.9) are equivalent.
Note that embedding A
ψα1( B
N) ⊂ L
ψ2(µ) is continuous as soon as it holds. It is just an application of the closed graph theorem.
Proof of Theorem 2.5. 1) For the first part, let us denote by C the norm of the canonical embed- ding j
α: A
ψα1( B
N) ֒ → L
ψ2(µ). Let a ∈ B
N, |a| = 1 − h and ξ ∈ S
Nbe such that a = (1 − h) ξ.
Let us consider the map
f
a= 1
2
N+1+αψ
1−11/h
N+1+α1/h
N+1+αH
a(z)
= 1
2
N+1+αψ
1−11/h
N+1+α1/h
N+1+αh (2 − h)
|1 − (1 − h) hz, ξi|
2 N+1+αRecall that H
ais the Berezin kernel introduced in Proposition 1.9. As we saw in the proof of this latter, f
ais in the unit ball of A
ψα1( B
N) and our assumption ensures that
kj
α(f
a)k
Lψ2(µ)= kf
ak
Lψ2(µ)≤ C so that
(2.10) 1 ≥
Z
BN
ψ
2|f
a|
C
dµ.
Let us minorize the right hand side of (2.10). We just get a minorization of |f
a| on the non-isotropic
“ball” S (ξ, h). If z ∈ S (ξ, h), then a straightforward computation yields |1 − hz, ai| ≤ 2h. Hence, for any z ∈ S (a, h),
|f
a(z)| ≥ ψ
1−11/h
N+1+α8
N+1+α. Therefore
1 ≥ Z
BN
ψ
2|f |
C
dµ ≥ ψ
2ψ
1−11/h
N+1+α8
N+1+αC
!
µ (S (a, h)) , which is Condition (2.8) and the first part of the theorem follows.
2) The second part will need Lemma 2.4. First of all, we know (Proposition 2.2) that there exists a constant C
M≥ 1 such that, for every f ∈ A
ψα1( B
N), kΛ
fk
Lψα1(BN)
≤ C
Mkf k
Aψα1(BN)
. Let now f be in the unit ball of A
ψα1( B
N); it suffices to show that kf k
Lψ2(µ)≤ C
0for some constant C
0> 0 which does not depend on f . Let ˜ C ≥ 1 be a constant whose value will be precised later.
Condition (2.9) is supposed to be realized, that is there exist some constants A > 0, h
A∈ (0, 1/2]
and η > 0 such that
(2.11) K
µ,α(h) ≤ η 1/h
N+1+αψ
2Aψ
−11(1/h
N+1+α)
for any h ∈ (0, h
A). By using convexity of ψ
2and applying Lemma 2.4 to f /C
M(which of course still satisfies kf /C
Mk
Aψ1α
≤ 1) and E = B
N, we get the existence of constants B > 0, x
Aand C
1> 0, all independent of f , such that
Z
BN
ψ
2|f|
BC
MC ˜
dµ ≤ 1 C ˜
Z
BN
ψ
2|f |
BC
Mdµ
≤ 1
C ˜ (µ ( B
N) ψ
2(x
A) + C
1η) .
Of course, C
1may be supposed to be large enough so that C
1η ≥ 1 and, up to fix ˜ C = µ ( B
N) ψ
2(x
A) + C
1η ≥ 1, we get kf k
Lψ2(µ)≤ C
0:= BC
MC ˜ which completes the proof of (2) of Theorem 2.5.
3) First, it is clear that Condition (2.9) implies Condition (2.8). For the converse, we need the following claim:
Claim. Under the notations of the theorem, if Condition (2.8) holds, then there exist some A as large as we want and η > 0 such that
(2.12) ̺
µ(h) ≤ η 1
ψ
2Aψ
−11(h
A/h
N+1+α) for some h
A, 0 < h
A≤ 1 and for any 0 < h < h
A.
Proof of the claim. We assume that Condition
(2.13) ̺
µ(h) ≤ η 1
ψ
2Aψ ˜
1−1(1/h
N+1+α)
holds for some ˜ A ≥ 0, ˜ h
A, 0 < h ˜
A≤ 1, η > 0 and any 0 < h < h ˜
A. We fix A > 1 and we look for some constant h
A,A˜≤ 1 such that
(2.14) 1
ψ
2Aψ ˜
1−1(1/h
N+1+α) ≤ 1 ψ
2Aψ
1−1h
A,A˜/h
N+1+αfor 0 < h < h
A,A˜. Now it is easy to verify that Inequality (2.14) is equivalent to
A
A ˜ ≤ ψ
−111/h
N+1+αψ
1−1h
A,A˜/h
N+1+α≤ 1 h
N+1+α˜A,A
by concavity of ψ
−1. Then the claim follows by choosing h
A,A˜small enough.
We come back to the proof of the third point. Let suppose that ψ belongs to the uniform
∇
0-class and let A > 0, h
A∈ (0, 1] and η > 0 be such that
̺
µ(h) ≤ η 1
ψ (Aψ
−1(1/h
N+1+α))
for every h ∈ (0, h
A). The previous claim says that we can find B ≥ 1 and 0 < K = K
B,A≤ 1 such that
̺
µ(h) ≤ η 1
ψ
Bψ
−1(K/h)
N+1+αfor every 0 < h < K. Therefore, we have
K
µ,α(h) = sup
0<t≤h
̺
µ(t)
t
N+1+α≤ η sup
0<t≤h
1/t
N+1+αψ
Bψ
−1(K/t)
N+1+α= η sup
x≥ψ−1