Some remarks on the pointwise sparse domination
Andrei K. Lerner, Sheldy Ombrosi

TL;DR
This paper improves the pointwise sparse domination principle for singular integral operators, identifying nearly minimal conditions under which such operators can be dominated by sparse operators, thus advancing the theoretical understanding of these operators.
Contribution
It provides an improved sparse domination principle and determines minimal assumptions for singular integral operators to admit sparse domination.
Findings
Enhanced sparse domination criteria for singular integrals
Reduced assumptions needed for sparse domination
Theoretical advancement in harmonic analysis
Abstract
We obtain an improved version of the pointwise sparse domination principle established by the first author in [19]. This allows us to determine nearly minimal assumptions on a singular integral operator for which it admits a sparse domination.
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.
Some remarks on the pointwise sparse domination
Andrei K. Lerner
Department of Mathematics, Bar-Ilan University, 5290002 Ramat Gan, Israel
and
Sheldy Ombrosi
Departamento de Matemática
Universidad Nacional del Sur
Bahía Blanca, 8000, Argentina
Abstract.
We obtain an improved version of the pointwise sparse domination principle established by the first author in [19]. This allows us to determine nearly minimal assumptions on a singular integral operator for which it admits a sparse domination.
Key words and phrases:
Sparse bounds, singular integrals, the theorem.
2010 Mathematics Subject Classification:
42B20, 42B25
A. Lerner is supported by ISF grant No. 447/16, S. Ombrosi is supported by CONICET PIP 11220130100329CO, Argentina.
1. Introduction
Sparse bounds for different operators have been a recent and active topic in harmonic analysis. Their remarkable feature is that an operator, which is typically signed and non-local, is dominated (pointwise or dually) by a positive and localized expression of the form
[TABLE]
where , and is a sparse family of cubes of .
Recall that the family of cubes is called -sparse, , if for every cube , there exists a measurable set such that , and the sets are pairwise disjoint.
Localization and sparseness are two main ingredients which make sparse bounds especially effective in quantitative weighted norm inequalities.
The literature about sparse bounds is too extensive to be given here in more or less adequate form. We mention only that sparse bounds for Calderón-Zygmund operators can be found in [7, 15, 16, 18, 19, 20]. Also, there are several general sparse domination principles [5, 6, 8, 19].
In [19], a sparse domination principle was obtained in terms of the grand maximal truncated operator
[TABLE]
defined for a given operator .
Theorem A [19]. Assume that is a sublinear operator of weak type and is of weak type , where . Then, for every compactly supported , there exists a sparse family such that
[TABLE]
*for a.e. , where . *
In this paper we improve the above result by means of weakening the two main hypotheses.
First, instead of the weak type of we assume a weaker property that there exists a non-increasing function such that for every cube and for every ,
[TABLE]
We call this the property. If is of weak type , then the property holds with .
Second, we replace the operator by a more flexible operator defined for by
[TABLE]
Our main result is the following.
Theorem 1.1**.**
Let be a sublinear operator satisfying the condition and such that is of weak type for some , where . Let . Then, for every compactly supported , there exists a -sparse family such that
[TABLE]
for a.e. , where C=c_{n,r,s,\alpha}\big{(}\psi_{T,q}(1/12\cdot(2\alpha)^{n})+\|{\mathcal{M}}_{T}^{\#}\|_{L^{r}\to L^{r,\infty}}\big{)}.
Theorem 1.1 provides a more convenient tool compared to Theorem A. Indeed, there is no need now to work with the grand maximal truncated operator , which typically requires some additional effort. In many particular cases (see examples in Section 5) the weak type of follows from the estimate
[TABLE]
where and is the Hardy-Littlewood maximal operator.
The fact that we do not require the weak type of in Theorem 1.1 allows us to obtain a sparse domination result for a singular integral operator with minimal set of assumptions close in the spirit to the theorem.
The paper is organized as follows. In Section 2 we present a proof of Theorem 1.1. We also show separately how this proof looks in the model case of Calderón-Zygmund operators. In Section 3 we discuss some variations and extensions of Theorem 1.1. A sparse -type result is presented in Section 4. Finally, in Section 5 we collect different examples (mostly known) of operators admitting the pointwise sparse domination. We show how Theorem 1.1 simplifies sparse bounds for these operators.
2. Proof of Theorem 1.1
In this section we prove Theorem 1.1. The proof is a variation of the proof of Theorem A, with an additional twist. Although some parts of both proofs are almost identical, we provide a complete proof for reader’s convenience. First, we separate a common ingredient of both proofs in the following lemma.
Lemma 2.1**.**
Assume that for any compactly supported and for every cube , there exists a -sparse family of subcubes of such that for a.e. ,
[TABLE]
Then there exists a -sparse family such that for a.e. ,
[TABLE]
Proof.
Take a partition of by cubes such that for each . For example, take a cube such that and cover by congruent cubes . Each of them satisfies . Next, in the same way cover , and so on. The union of resulting cubes, including , will satisfy the desired property.
Having such a partition, apply (2.1) to each instead of . We obtain a -sparse family such that for a.e. ,
[TABLE]
Therefore, setting , we obtain that is -sparse and for a.e. ,
[TABLE]
This proves (2.2) with a -sparse family . ∎
Before giving the proof of Theorem 1.1, we show that it especially elementary in the model case of Calderón-Zygmund operators.
We say that is a Calderón-Zygmund operator if is a linear operator of weak type such that
[TABLE]
with kernel satisfying the smoothness condition
[TABLE]
for , where
Theorem 2.2**.**
Let be a Calderón-Zygmund operator. For every compactly supported , there exists a -sparse family such that for a.e. ,
[TABLE]
This result is well known (see [19] and the history therein). Its proof in [19] is based on Theorem A. The proof given below illustrates in a simplified form the main idea behind the proof of Theorem 1.1.
Proof of Theorem 2.2.
Given a cube , denote . Let us also use the notation .
It follows from the smoothness condition in the standard way that for every cube and for all ,
[TABLE]
Fix a cube . By the weak type of and , there is for which the set
[TABLE]
satisfies . Denote .
Apply the local Calderón-Zygmund decomposition to on at height . We obtain a family of pairwise disjoint cubes such that
[TABLE]
and . The latter property implies
[TABLE]
By (2.5), for all and ,
[TABLE]
Next, by (2.6), . On the other hand,
[TABLE]
Therefore,
[TABLE]
which, combined with (2.8), implies that for all ,
[TABLE]
where .
From this and from (2.7), for a.e. ,
[TABLE]
By (2.6), . Therefore, iterating (2.9), we obtain a -sparse family of subcubes of such that
[TABLE]
for a.e. . It remains to apply Lemma 2.1. ∎
The operator in the above proof appears implicitly in (2.5). In the proof of Theorem 1.1, it appears explicitly and contributes to the exceptional set .
Proof of Theorem 1.1.
Given a cube , denote . Next, set
[TABLE]
By the weak type of and by the theorem assumptions along with Hölder’s inequality, one can choose and
[TABLE]
for which the set
[TABLE]
satisfies .
Apply the local Calderón-Zygmund decomposition to on at height . We obtain a family of pairwise disjoint cubes such that
[TABLE]
and . The latter property implies
[TABLE]
For almost all and ,
[TABLE]
Next, by (2.10), . On the other hand,
[TABLE]
Therefore,
[TABLE]
which, combined with (2.12), implies that for all ,
[TABLE]
From this and from (2.11), for a.e. ,
[TABLE]
By (2.10), . Therefore, iterating (2.13), we obtain a -sparse family of subcubes of such that for a.e. ,
[TABLE]
which, along with Lemma 2.1, completes the proof. ∎
3. Some variations of Theorem 1.1
We mention here some simple but useful variations/extensions of Theorem 1.1. Let us start with the following, a slightly more precise version of Theorem 1.1.
Theorem 3.1**.**
Let and . Let be a compactly supported function from . Assume that is a sublinear operator satisfying the following property: there exist non-increasing functions and such that for any cube ,
[TABLE]
and
[TABLE]
for some . Then there exists a -sparse family such that
[TABLE]
for a.e. , where C=c_{n,s}\Big{(}\psi(1/12\cdot(2\alpha)^{n})+\varphi(1/12\cdot(2\alpha)^{n})\Big{)}.
Indeed, the only difference in the proof is in the definition of , namely, one should define
[TABLE]
With this choice of we have
[TABLE]
and hence one can bound by .
Remark 3.2*.*
The advantage of Theorem 3.1 compared to Theorem 1.1 is not only in the weaker assumption on but also in the fact that the sparse domination for an individual function follows from the initial assumptions on the same function. This advantage will be used in Theorem 4.1 below.
Our next remark is that the averages in Theorems 1.1 and 3.1 can be replaced by the Orlicz averages defined for a Young function by
[TABLE]
For example, the corresponding variant of Theorem 3.1 can be stated as follows.
Theorem 3.3**.**
Let and be Young functions such that for all . Let be a compactly supported function from the Orlicz space . Assume that is a sublinear operator satisfying the following property: there exist non-increasing functions and such that for any cube ,
[TABLE]
and
[TABLE]
for some . Then there exists a -sparse family such that
[TABLE]
for a.e. , where C=c_{n,\Phi,\Theta}\Big{(}\psi(1/12\cdot(2\alpha)^{n})+\varphi(1/12\cdot(2\alpha)^{n})\Big{)}.
Indeed, it is easy to see that appears in the sparse domination estimate in Theorem 3.1 just because, by Hölder’s inequality,
[TABLE]
Now, the assumption implies . Therefore, replacing by in the proof of Theorems 1.1/3.1, we obtain Theorem 3.3. For an application of Theorem 3.3, see Example 5.4 in Section 5.
We also note that Theorem 3.1 can be easily extended to a multilinear case. In [21], a multilinear extension of Theorem A was obtained. Our multilinear variant of Theorem 3.1 improves this result exactly in the same way as Theorem 3.1 improves Theorem A.
Denote and . Given an operator and , define a multilinear analogue of the operator by
[TABLE]
Theorem 3.4**.**
Let and . Let be compactly supported functions from , and let . Assume that is an operator satisfying the following property: there exist non-increasing functions and such that for any cube ,
[TABLE]
and
[TABLE]
for some . Then there exists a -sparse family such that
[TABLE]
for a.e. , where C=c_{n,s}\Big{(}\psi(1/12\cdot(2\alpha)^{n})+\varphi(1/12\cdot(2\alpha)^{n})\Big{)}.
We point out the necessary changes in the proof compared to the proof of Theorem 3.1. First, instead of one should consider
[TABLE]
Second, should be replaced by The rest of the proof is identically the same.
Note that in Theorem 3.4, similarly to the corresponding result in [21], we do not assume that is multilinear (or multi(sub)linear), which is in contrast to the statement of its linear analogue, Theorem 3.1. The explanation is in the way we defined in the linear and multilinear cases. The only place where the sublinearity of in Theorems 1.1 and 3.1 was used is in the estimate
[TABLE]
Having here instead of , this estimate would hold trivially without any assumption on . Thus, defining in the linear case in analogy with its multilinear analogue, one can state Theorems 1.1 and 3.1 for arbitrary .
4. A sparse -type theorem
Consider a class of integral operators represented as
[TABLE]
We say that satisfies the -Hörmander condition, , if
[TABLE]
Denote by the class of kernels satisfying the -Hörmander condition. It is easy to see that is just the classical Hörmander condition, and that if .
Let denote the transpose of , which is associated to the kernel . It is well known (see, e.g., [10, p. 99]) that if is bounded, represented by (4.1) for any and if , then is of weak type and is bounded on for every .
On the other hand, many results in the theory of singular integrals hold under stronger assumptions on . Recall that is called standard kernel if it satisfies the size condition for and both and satisfy the regularity condition
[TABLE]
The theorem [9] in one of its equivalent forms asserts that if is standard, then is bounded if and only if there exists such that for any cube ,
[TABLE]
In [17], a “sparse” proof of the theorem was given, namely the sparse domination (in the dual form) for was obtained assuming that is standard and satisfies (4.3).
It is still unknown what are the minimal regularity conditions on for which the theorem holds. The sharpest known sufficient condition for the theorem is (2.3) for and with
[TABLE]
(see [12] for the corresponding discussion). In particular, it is unknown whether this condition can be relaxed to the classical Dini condition.
Similarly, one can ask about the minimal assumptions on yielding the pointwise sparse domination. Our result in this direction is the following.
We assume that is real valued, and that represented by (4.1) is properly defined on the space of bounded functions with compact support.
Theorem 4.1**.**
Assume that for some and that . Suppose that there exists such that for every cube and every measurable subset ,
[TABLE]
Then for every , there exists a -sparse family such that for a.e. ,
[TABLE]
We collect several standard facts. First, the assumption along with Hölder’s inequality implies that for all ,
[TABLE]
Second, the assumption implies that for every cube and any bounded function supported in with ,
[TABLE]
The proof of the following lemma is almost the same as the standard proof of the weak type of .
Lemma 4.2**.**
Let . Assume that there exist such that for every cube and any ,
[TABLE]
Then there is such that for any and for every cube ,
[TABLE]
Proof.
Fix a cube . By homogeneity, one can assume that . Suppose also that since otherwise the statement is trivial.
By the local Calderón-Zygmund decomposition, there exists a family of pairwise disjoint cubes such that
[TABLE]
and a.e. on . Set , where and let . Then .
Applying (4.7) yields
[TABLE]
Next, by (4.6),
[TABLE]
and, therefore,
[TABLE]
which implies
[TABLE]
Combining this with the above estimate for yields
[TABLE]
which completes the proof. ∎
Proof of Theorem 4.1.
Condition (4.4) implies that for every cube and any ,
[TABLE]
Therefore, by Lemma 4.2, there is such that for any and for every cube ,
[TABLE]
From this and from (4.5), by the weak type of , we obtain that both conditions of Theorem 3.1 are satisfied for and instead of for every with corresponding functions and independent of . Applying Theorem 3.1 completes the proof. ∎
Note that for every -sparse family ,
[TABLE]
(see, e.g., [19, Lemma 4.5]). This along with Theorem 4.1 easily implies the following.
Corollary 4.3**.**
Assume that for some and that . Then has a bounded extension that maps to itself if and only if condition (4.4) holds.
Proof.
The necessity part of this statement is obvious. Thus, we only need to show the sufficiency part.
By Theorem 4.1 and by (4.8), for any and for all ,
[TABLE]
This along with (4.6) implies the weak type property (restricted to )
[TABLE]
(see, e.g., [10] for this fact), and therefore, by interpolation,
[TABLE]
which implies that can be extended continuously to a bounded mapping on . ∎
Observe that condition (4.4) can be written in an equivalent and more symmetric form as follows: there exists such that for every cube and any measurable subsets ,
[TABLE]
Having in mind Corollary 4.3, the question about the minimal regularity assumptions yielding the theorem can be rephrased as follows: what are the minimal regularity assumptions on for which the conditions (4.3) imply (4.4)?
One can also ask whether the assumption in Corollary 4.3 can be further improved to the minimal assumption .
5. Examples
In this section we give several examples of operators admitting the pointwise sparse domination. Note that most of the sparse bounds mentioned below are known. But here we provide a unified and simplified approach to these results based on Theorem 1.1 and its variants. First, we mention the following corollary, which follows immediately from Theorem 1.1.
Corollary 5.1**.**
Let . Let be a sublinear operator of weak type , and suppose that for some and for a.e. ,
[TABLE]
Let . Then, for every compactly supported , there exists a -sparse family such that
[TABLE]
for a.e. , where .
Example 5.2*.*
Consider a class of integral operators represented by (4.1) with . Then, as it was mentioned above, (4.5) holds.
Therefore, assuming additionally that is of weak type , by Corollary 5.1 we obtain that (5.1) holds with . This result in a slightly different form can be found in [21].
Example 5.3*.*
Let be a family of real-valued measurable functions indexed by some set , and let be an operator represented by (4.1). Define the maximally modulated operator by
[TABLE]
where .
Assume that . Then (4.5) holds for instead of with essentially the same proof. Assuming additionally that is of weak type , we obtain (5.1) for with . The corresponding result can be found in [3].
Example 5.4*.*
As a particular case of the previous example, consider the Carleson operator defined by
[TABLE]
where is the Hilbert transform, and .
In this case , and therefore is of weak type .
Set It was shown in [11, Th. 5.1] that for every interval ,
[TABLE]
(this represents an elaborated version of Antonov’s theorem [2] on a.e. convergence of Fourier series for ).
Therefore, by Theorem 3.3, for every compactly supported , there exists a -sparse family such that for a.e. ,
[TABLE]
Example 5.5*.*
Recall that a smooth function defined on belongs to the class if
[TABLE]
for all multi-indices , where and .
Given , the pseudodifferential operator is defined by
[TABLE]
Assume that , where and . First, is of weak type (this result can be found in [1, Th. 3.2]). Second, for every ,
[TABLE]
(for the proof of this estimate see [22, Th. 3.3]). Therefore, satisfies (5.1) for all . This result was obtained in [4].
Example 5.6*.*
Given a function with , define the operator by
[TABLE]
where is standard kernel (as defined in Section 4).
An argument in [14, Th. 1] shows that
[TABLE]
Therefore, assuming additionally that is of weak type , we obtain that satisfies (5.1) for . See [13], where a more refined result with a specific is obtained.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] J. Álvarez and J. Hounie, Estimates for the kernel and continuity properties of pseudo-differential operators , Ark. Mat. 28 (1990), no. 1, 1–22.
- 2[2] N.Y. Antonov, Convergence of Fourier series , East J. Approx., 2 (1996), 187–-196.
- 3[3] D. Beltran, Geometric control of oscillatory integrals, Ph D thesis. University of Birmingham, 2017.
- 4[4] D. Beltran and L. Cladek, Sparse bounds for pseudodifferential operators , J. Anal. Math., to appear. Available at https://arxiv.org/abs/1711.02339
- 5[5] C. Benea and C. Muscalu, Sparse domination via the helicoidal method , preprint. Available at https://arxiv.org/abs/1707.05484
- 6[6] F. Bernicot, D. Frey and S. Petermichl, Sharp weighted norm estimates beyond Calderón-Zygmund theory , Anal. PDE 9 (2016), no. 5, 1079–1113.
- 7[7] J.M. Conde-Alonso and G. Rey, A pointwise estimate for positive dyadic shifts and some applications , Math. Ann. 365 (2016), no. 3-4, 1111–1135.
- 8[8] J.M. Conde-Alonso, A. Culiuc, F. Di Plinio and Y. Ou, A sparse domination principle for rough singular integrals , Anal. PDE 10 (2017), no. 5, 1255–1284.
