Abstract
Let be a homogeneous function of degree zero on , , integrable and having mean value zero on the unit sphere , and let be the homogeneous convolution singular integral operator with kernel . By introducing reasonable refined decomposition and approximation techniques, together with sparse domination and variable measure interpolation methods, we establish the quantitative weighted estimates for under the rough condition for some . The results of the paper improve the previous works for the case . We also give the quantitative weighted estimates for the commutator with symbol b.
MSC:
42B20
1. Introduction
In harmonic analysis, singular integral operators constitute a fundamental class of linear operators. Classical theory typically requires their kernels to possess good smoothness properties to ensure the desirable behavior of the operators on function spaces. However, our research focuses on a more general class of “rough” operators, whose kernels no longer satisfy the traditional smoothness conditions. The essence of establishing quantitative weighted estimates for such operators lies in transforming the criterion for boundedness from a complex dependence on the microstructure (smoothness) of the kernel to a direct dependence on its macroscopic attributes (size) and the metric properties (non-uniformity) of the weight. This demonstrates that in weighted spaces, what truly governs the operator’s behavior is not the local details of the kernel but rather its overall strength and the geometric nature of the weight.
In this paper, we always assume that is a homogeneous function of degree zero on the n-dimensional Euclidean space , , and , where is the unit sphere in , and
We will focus on studying quantitative weighted estimates of the following singular integral operator defined by
This operator was first introduced by Calderón and Zygmund [1] in the 1950s; it has attracted considerable interest and has been studied by numerous scholars. Calderón and Zygmund [2] proved that, if , the operator is bounded on for . Ricci and Weiss [3] proved the boundedness of the operator under the condition , which is an improvement upon the Calderón–Zygmund’s result; notably, the space contains . Seeger [4], in turn, proved that is also a sufficient condition to guarantee that is bounded from to . For more related works concerning the boundedness of the operator with rough kernels, we refer the reader to the literature [3,5,6,7,8,9,10,11] and the references therein.
In order to study the quantitative weighted estimates for the operator with rough kernels, we recall the weight function class of Muckenhoupt . For , we say , if w is a nonnegative and locally integrable function on such that
where , the supremum is taken over all cubes . We say , if
where M is the Hardy–Littlewood maximal operator, see Equation (10) below for the definition of . For a weight with , the constant defined above is called the constant of w, one may see ([12], Chapter 9) for the properties of . If , we say , and the constant of w, denoted by , can be defined by
see ref. [13] or ref. [14].
During the last two decades, there has been significant progress in the study of the quantitative weighted bounds with weights for the singular integral operators with rough kernels . The quantitative weighted estimates can be traced back to Buckley [15]; he proved that for , the Hardy–Littlewood maximal function M satisfies
for any . Subsequently, Astala, Iwaniec and Saksman [16] proposed the famous conjecture for an operator T, i.e., if there exists a positive constant c independent of f and w such that . Later, the theorem had been proved for the Hilbert transform H, the Riesz transform and the classical Calderón–Zygmund operator T with smooth kernels. See ref. [17], among others.
Recently, the problem of establishing sharp quantitative weighted estimates for rough singular integral operators has garnered significant attention. The known study of the quantitative weighted boundedness of the operator was achieved for the case where . Hytönen, Roncal and Tapiola showed the following inequality in ref. [18],
where and . This result served as an updated version of the theorem of Duoandikoetxea and Rubio de Francia [7]. Authors in ref. [18] improved the iterative bootstrap method and established precise quantitative weighted norm inequalities for the rough singular integral operators. In ref. [18], it is conjectured that the bound for depends linearly on the constant of . It seems that proving or disproving this result is not a simple matter.
On the other hand, Lerner, Ombrosi and Pérez [20] studied the sharp bounds for the Calderón–Zygmund operator T, which is defined by
where is the Calderón–Zygmund kernel satisfying
Lerner, Ombrosi and Pérez [20] obtained the following quantitative weighted estimate for Calderón–Zygmund operator T,
The key to obtaining this estimate is to establish the following two-weight estimate of Fefferman–Stein type with good boundedness, i.e., for and , it holds
for any weight function , where is the maximal operator defined in (10). It is easy to see that the sharp estimate above follows that
Related to the weighted estimate Equation (3) for Calderón–Zygmund operator T, Pérez, Rivera-Ríos and Roncal [21] recently established the following estimate for the rough singular integral operator in case , ,
Rivera-Ríos and Israel [22] improved the Equation (4) and obtained that
Motivated by the works in ref. [21] and ref. [22], our goal is to obtain quantitative weighted estimates for under the weaker condition that for some .
Our approach is to decompose into a sequence of operators whose regularity satisfies the -Hörmander condition. Via sparse domination for every piece in the operator sequence, we establish a two-weight estimate and weighted estimate with decay bound for the operators. By using suitable interpolation with change in measures and taking summation for the sequence, we obtain estimates for .
In this paper, we will also consider the quantitative weighted estimates for the commutator . Given a linear operator T and , the commutator in the sense of Coifman–Rochberg–Weiss is defined by
Recall that means that b is a locally integrable function with
where the supremum is taken over all cubes with sides parallel to the axes, and .
If , the class of Lipschitz continuous functions of -power with , Coifman, Rochberg and Weiss [23] established that is a sufficient and necessary condition for the boundedness of commutator . By combining the weighted estimates for with the connection between weights and functions, Alvarez, Bagby, Kurtz and Pérez [24] established the boundedness of the commutator for the case for some . Hu [25] improved these theorems and showed that if , the commutator can also map to for all with bound . For other works about the boundedness for , we can also refer to the recent literature [9,11,26,27] and the references in their papers.
We will prove in Section 5 the weighted boundedness of the commutator , and give quantitative weighted estimates for the commutator .
2. Main Results
We will prove the following two-weight estimates of Fefferman–Stein type:
Theorem 1.
Let Ω be a homogeneous function of degree zero on , , integrable and have mean value zero on the unit sphere . Let be defined as Equation (1) with for . Then, for , any weight , and , we have
and
In particular, let w be any specific weight as and ; we can use Theorem 1 to obtain the following quantitative weighted estimates.
Corollary 1.
Let Ω be a homogeneous function of degree zero on , , integrable and have mean value zero on the unit sphere . Let be defined as Equation (1) with for . Then, for , any weight and ,
moreover, if , then
Remark 1.
As mentioned in Section 1, Pérez, Rivera-Ríos and Roncal [21] established the weighted estimate Equation (4) for rough singular integral in the case , and Rivera-Ríos and Israel [22] established the weighted estimate Equation (5) for rough singular integral in the case . The value and significance of our theorem and corollary lie in establishing similar conclusions but only requiring the weak condition with .
Remark 2.
It is worthy to remark that, in these weighted Equations (6)–(9) of Theorem 1 and Corollary 1, the condition for Ω is weaker than that in ref. [19], where Li, Pérez, Rivera-Ríos and Roncal proved that, if , , then for ,
and
We note that is the Lorentz space defined by
and there is a continuous embedding relationship for all and .
In the paper, we will also prove the following quantitative weighted estimates for the commutator :
Theorem 2.
Let Ω be a homogeneous function of degree zero on , , integrable and have mean value zero on the unit sphere . Let be defined as Equation (1) with and . Then, for weight , we have
The rest of the paper is organized as follows. In Section 3, we will give some basic definitions and give a suitable decomposition of into a sequence of -Hörmander type operators and related properties. We will prove the unweighted estimates and two-weight estimates for the pieces of the operator sequence. In Section 4, we prove the main results. In Section 5, we prove the weighted boundedness of the commutator . In Appendix A and Appendix B, we provide the proofs of Lemmas 3 and 4.
3. Lemmas
3.1. Some Preliminary Lemmas
Let be a Young function that is a continuous, convex, increasing function that satisfies and as . A Young function is said to be doubling if there exists a positive constant C such that . Let f be a measurable function defined on a set E with finite measure in . The of f over E is defined by
If is a Young function and f is Lebesgue measurable, we define the Orlicz maximal operator by
where Q are cubes in . In particular, if for , then coincides with the maximal operator defined by
Obviously, for , is the usual Hardy–Littlewood maximal function, denoted simply by M. If , we denote the maximal operator by .
For each Young function A, we can define its complementary function
is also a Young function and enjoys the following properties:
and
Let . A doubling Young function A is said to satisfy the condition, if there is a positive constant c such that
in this case, we say that .
Lemma 1
(Ref. [19], Lemma 2.4). Let A be a Young function satisfying the condition. Then,
In particular, for with , then , and
see Section 2.5 in ref. [19].
Now we introduce a decomposition for the rough homogeneous singular integral operator defined by Equation (1); one can write
where
We further consider the following partition of unity. Let be a radial nonnegative function with , and . Let and , then converges in f when . For any sequence of integer numbers , with
we have the identity
thus
where
Lemma 2.
Let , be defined in Equation (12), and Ω be homogeneous of degree zero and have mean value zero on the unit sphere and with . Then there are constants C and independent of ξ and such that for all ,
Proof.
We claim that, using the properties of , we have the following inequality:
for independent of and .
It is obvious that , now we only need to prove that for . Using the vanishing condition of , we have for that,
for any . On the other hand, using integration by parts, we obtain
for . Therefore, by Hölder’s inequality and the fact , we have for that,
which implies the desired Equation (13).
Fix any , and take an integral satisfying ; we receive from Equation (13) that
and, since , we have that
Moreover, we can verify that for any , and then we can deduce from Equation (13) that
as long as we take . □
It is easy to see from Lemma 2 that the sum
converges strongly in the -operator norm. Therefore, the rough singular integral operator can be approximated by the sequence of operators , , in the sense of the -operator norm.
Moreover, we will proved that each operator is bounded on for , and of weak boundedness. We will also proved that the grand maximal operator of is bounded from to .
Lemma 3.
Let with be a homogeneous function of degree zero and have mean value zero on the unit sphere , and let be defined in Equation (12). Then for any , maps from to with bound . Moreover, is bounded on , , with bound .
Lemma 4.
Let be defined as in Equation (12) and let be the grand maximal operator of defined by
then
moreover, is bounded from to with bound .
Lemmas 3 and 4 were in fact given by the authors in ([28], Lemmas 3.4 and 3.5). For the sake of completeness, we will provide different methods in the Appendix A and Appendix B to give lines of the proof of Lemmas 3 and 4.
Now we introduce the sparse collection and sparse operator. The collection of cubes is -sparse for if for each fixed , there exists a measurable set such that and the sets are pairwise disjoint. Usually will depend only on the dimension, and when this parameter is unessential we will skip it.
Given a sparse family and , we define the sparse operator by
A general dyadic grid is the collection of cubes satisfying the following properties: (i) for any cube , its side length is of the form for some ; (ii) for any cubes , ; (iii) for each , the cubes of side length form a partition of .
Lemma 5
(Ref. [29]). Assume that T is a bounded linear operator from to and is bounded from to , with . Then, for every with compact support, there exists a sparse family such that for a.e. ,
where .
We need results concerning the sharp reverse Hölder’s inequality (RHI).
Lemma 6
(Ref. [21], Theorem 2.7). If , there exists constant , when ,
note .
We will also need following interpolation theorems:
Lemma 7
(Riesz–Thorin interpolation theorem). Let , and be a linear operator satisfying
and
then
where , , .
Lemma 8
(Stein–Weiss interpolation theorem). Assume that , that and are positive weights, and that T is a sublinear operator satisfying
then,
where
3.2. The Decay Estimates for on Space
We first study the unweighted estimates with good decay for . By Lemma 2, the Plancherel Theorem and the triangle inequality, we have
Lemma 3 tells us, for ,
by the interpolation method between the Equations (15) and (16), we can show the following decay estimates for on space.
Lemma 9.
Let with be a homogeneous function of degree zero and have mean value zero on the unit sphere , and let be defined in Equation (12), then for ,
for some constant independent of , j and the function .
Proof.
Assume that and take and , we have By Lemma 7, combining with Equations (15) and (16), we have that
where .
On the other hand, if , let us take , in this case, . Then, by interpolating between and , we obtain the estimate on . □
Next we consider the two-weight estimate for .
Lemma 10
(Ref. [19], Theorem 1.12). Let be defined in (14), w be a weight and be a sparse family. Let A be a Young function such that . For , , there holds
where .
Lemma 11
(Two-weight estimate for ). Let with be a homogeneous function of degree zero and have mean value zero on the unit sphere , and let be defined in Equation (12). Then for any weight w, , , ,
4. Proof of Theorem 1 and Corollary 1
Proof of Theorem 1.
Let us establish the two-weight inequality of Fefferman–Stein type for the operators . Combining with Lemmas 9 and 11 and via the method of interpolation with change in measures in ref. [30], we obtain that, for any , any and any weight function ,
we can replace by w and by r, then
Thus, by Lemma 11 and the Equation (19),
Now we take , and note for any , we have
this implies
Particularly, we choose . By a direct compute, we observe that and . Then the Equation (20) yields
which completes the proof of Theorem 1. □
Proof of Corollary 1.
If , by Lemma 6, there exists a dimensional constant , and we can choose such that
Then, by taking , we have and , and so by the estimate Equation (21), we have that
Moreover, if , then , and thus
The proof of Corollary 1 is complete. □
5. Proof of Theorem 2
We begin with some necessary preliminaries and lemmas.
The significance of stems from its exponential self-improving property, which is established in the celebrated John–Nirenberg Theorem [31]. We will use a very precise version as follows.
Lemma 12
(Sharp John–Nirenberg ([32], Theorem 2.1)). There are dimensional constants and such that
From Lemma 12, we can derive the following Lemma 13.
Lemma 13.
Let and let be the dimensional constants from Equation (22). Then for all ,
and moreover, we have that .
Proof.
The lemma can be deduced directly from Lemma 12, the following equality and the Hölder’s inequality, we have that
□
It is well-known that, for all , and .
Corollary 2.
Let
Lemma 14.
Let , , , if , with , then
Proof.
By using Lemmas 13 and 6 and Hölder’s inequality, one can see that
□
Lemma 15.
Let and , . with , then
Proof.
Fix cube and , we have, by Hölder’s inequality,
note and . We take , by choosing large enough, , one can see that by Lemma 6. Thus by Hölder’s inequality, and ,
then we have
on the other hand,
therefore
combining with Equations (23) and (24),
□
Proof of Theorem 2.
Let with complex variable z, then we can write that
Using Minkowski’s inequality, we get
Now by the quantitative weighted estimates for with , see ref. [19], we can get
where we have denoted by . Recall Lemma 14, we let , which means that
then we have
and
According to the Lemma 15, when , we have
on the other hand, when , we have
Therefore,
Combining the Equations (25) and (26) together with the estimate above yields that
now we take , then we obtain that
which implies Theorem 2. □
Author Contributions
Conceptualization, S.W., P.L. and X.T.; methodology, X.T., P.L. and S.W.; validation, X.T., P.L. and S.W.; formal analysis, S.W., P.L. and X.T.; investigation, S.W., P.L. and X.T.; resources, X.T.; writing—original draft preparation, S.W., P.L. and X.T.; writing—review and editing, X.T., P.L. and S.W.; supervision, X.T.; project administration, S.W., P.L. and X.T.; funding acquisition, S.W., P.L. and X.T. All authors have read and agreed to the published version of the manuscript.
Funding
The authors are supported by the National Natural Science Foundation of China (Grant # 12271483) and the Zhejiang University of Science and Technology Graduate Student Science and Innovation Fund Program (# 2024yjskc20, # 2021yjsjg09).
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
Appendix A
Proof of Lemma 3.
It is sufficient to prove that, for any ,
By linearity, one may let . For each fixed , applying the Calderón–Zygmund decomposition to at level , we obtain a sequence of cubes with disjoint interiors, such that
and for a.e. . Set with
Recall that is bounded on with bound independent of , one has that
Let , it is obvious that . The proof is now reduced to show that
let be the center of . By the vanishing property of , we have
for each and , one can see that
Applying the support condition of , the size estimate for , and the regular estimate for , we can get
with an absolute constant C independent of and . Therefore,
which implies the weak estimate Equation (A1). □
Appendix B
Proof of Lemma 4.
Let . For and , a cube containing x, we denote by the closed ball centered at x with radius , then . For each , we can write
For , by support condition of and Minkowski inequality, we have
It is not difficult to deduce that
using the smoothness of function , one can deduce that
thus, . Similarly, we can get
For , let with some , decompose as
note that for any , we can write
using similar argument as that in the estimate of , we have
For , taking the power of r at both sides of the Equation (A2), and then taking the integral average on , we have
by using the inequality and the weak boundedness of , we have that
Combining , we have that
The desired boundedness for follows from the last inequality and Lemma 3. □
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