Abstract
Let be the bilinear fractional maximal operator. In this paper, we prove that the commutators in the i-th entry and the bilinear iterated commutators of are bounded operators from product weighted Morrey spaces to weighted Morrey spaces , provided that and . Furthermore, by using the techniques of function decompositions and the Fréchet–Kolmogorov theorem on weighted Morrey spaces, the compactness of and are also established whenever and , where denotes the closure of in the topology.
Keywords:
fractional maximal operator; bilinear; boundedness; compactness; commutator; weighted Morrey space MSC:
42B20; 42B25; 42B35
1. Introduction
For , , the bilinear fractional integral and the bilinear fractional maximal operator are defined, respectively, by
and
where the supremum is taken over all balls B containing x in . It is easy to see that
where the implicit constant depends only on n and . Kenig and Stein in [1], Grafakos and Kalton in [2] considered the -boundedness of and , respectively. For , we define the linear commutators of the bilinear fractional integral and the bilinear fractional maximal operator as follows
and
For , we define the iterated commutator of the bilinear fractional integral and the maximal iterated commutator of as
and
The weighted boundedness of the bilinear fractional integral and the bilinear fractional maximal operator on Lebesgue Spaces are obtained by Moen [3]. He also introduced a multilinear fractional type of weight (see Definition 6) and gave a characterization of that class. The multiple fractional type weights are somewhat different from the weights in [4]. But it is a natural generalization of the classical weights in [5].
In 1978, Uchiyama [6] improved the boundedness result by establishing compactness for Calderón-Zygmund operators with symbols where , where CMO denotes the closure of in the topology of BMO. Hereafter, we write BMO and CMO instead of and , respectively. The boundedness and compactness of commutators of classical operators have attracted the attention of many scholars (see [7,8,9,10,11], for example). In [12], Chen and Xue established strongly weighted bounded results for the linear commutators on Lebesgue spaces. Subsequently, Xue [13] also proved the following weighted strong type estimates for the iterated commutators and with weights on Lebesgue spaces. Furthermore, Chen and Wu [14] established an important improvement over the original results of Chen and Xue concerning strong-type weighted norm inequalities for multilinear commutators as follows.
Theorem 1
([14]). Let , and . For , and , if , then there exists a constant such that
where , .
Remark 1.
From Theorem 1, we can obtain the following conclusions:
with the same conditions as in Theorem 1 and .
In [15], the compactness on weighted Lebesgue spaces of the bilinear fractional maximal linear commutators and the bilinear fractional maximal iterated commutator was established, where and . According to ([14], Lemma 3.1), this result can be further improved as follows.
Theorem 2.
Let , , , and . If , and , where , then and are compact from to .
As we all known, it was Morrey [16] who first introduced the classical Morrey space in 1938 and applied it to the study of elliptic partial differential equations. Subsequently, Morrey spaces have found numerous applications in the field of partial differential equations, such as applications in the Navier-Stokes equations [17], Schrödinger equations [18], etc. In 2009, Komori and Shirai [19] considered a weighted generalization and introduced the following weighted Morrey spaces .
Definition 1
(Weighted Morrey space [19]). For , and a weight , the weighted Morrey space is defined as follows:
where
and the supremum is taken over all balls B in .
Remark 2.
We give some explanation about the weighted Morrey spaces.
In order to handle the fractional case, Komori and Shirai [19] also introduced weighted Morrey spaces with two weights.
Definition 2
(Weighted Morrey space with two weights [19]). Assume that and . For a pair of weights the two-weighted Morrey space is defined as
where
and the supremum is taken over all balls B in . When , we use the simplified notation .
Moreover, the Morrey space boundedness of the bilinear fractional integral and the bilinear fractional maximal operator has been studied by several authors; see [21,22,23,24], for example. By using a refined function decomposition technique coupled with sharp weight inequalities, Tao and Gao [25] established the boundedness of the bilinear fractional integral and the bilinear fractional maximal operator on weighted Morrey spaces.
Theorem 3
([25]). Let , , , , , and , , and . Then
Here and in what follows, denotes the class of Muckenhoupt weights (see Definition 5 in Section 2 for the precise definition)
The boundedness and compactness of many classical operators on Morrey spaces in harmonic analysis have also been extensively studied; see, e.g., [26,27,28,29,30,31,32,33,34]. Recently, Ding and Mei [35] gave the boundedness and compactness of the commutators and on product Morrey spaces. In [36], the boundedness and compactness of commutators of the bilinear Hardy-Littlewood maximal operator on Morrey spaces were studied by Wang, Zhou, and Teng.
Therefore, one may ask whether the conclusions of Theorem 2 still hold if the weighted Lebesgue spaces extend to the weighted Morrey spaces. To this question, we provide a positive answer. In addition, we also get that the commutators are all bounded on weighted Morrey spaces.
The purpose of this paper is to obtain the boundedness and compactness of the bilinear fractional maximal linear commutators and the bilinear fractional maximal iterated commutator on weighted Morrey spaces. This paper establishes the following main results.
Theorem 4
(Boundedness of and ). Let , , , , , , and . If , , and , where , , then
For clarity, we explain the notation for the weighted Morrey spaces used in Theorems 4 and 5. The symbol denotes a two-weighted Morrey space as defined in Definition 2, where the parameter is the Morrey-type smoothness index for this space.
Theorem 5
(Compactness of and ). Let , , , , , , and . If , , and , where and denotes the closure of in the topology, then and are compact from to .
Remark 3.
By Remark 2, if , , and . If , and , where , and are compact operators from to , and also bounded provided that and , with the same indexes as Theorem 2.
For the unweighted setting, if , , , and are also bounded operators from to provided that and . If and , then and are also compact from to .
While our proof strategy follows a known framework, extending boundedness and compactness results from weighted Lebesgue spaces to the product weighted Morrey setting introduces several nontrivial obstacles that require new technical ideas. First, the product weighted Morrey space has a two-layered structure: each weight appears with distinct exponents and , governing local integrability and global decay, respectively. Tracking their interplay and how they combine via the operator to yield the target weight in complicates every estimate. Second, applying the Fréchet–Kolmogorov theorem in this setting is not straightforward. Verifying the decay and equicontinuity conditions demands a delicate regional decomposition of the commutator, together with careful applications of Bernoulli’s inequality, the doubling property of weights, and Hölder’s inequality, not merely pointwise or in . Third, decomposing the symbol as forces estimates that respect the local–global balance of the Morrey norm. Handling integrals over nested balls whose radii are linked to the Morrey parameter leads to inequalities more subtle than those in the Lebesgue case [25,35].
This paper is organized as follows. In Section 3, we first characterize of the class and some facts about weights . Then we prove the boundedness boundedness of the associated operators. In Section 4, we establish the compactness results.
Throughout this paper, we adopt the following notations. For , The dual exponent of p is denoted by , which satisfies . Given a Lebesgue measurable set , will denote the Lebesgue measure of E, and denotes its characteristic function. Let be a ball in centered at x with radius r, denotes the ball with the sanme center as B and side length times the side length of B. C always denotes a positive constant independent of the main parameters involved, but whose value may differ from line to line. We use the symbol to indicate that there exists a positive constant C such that . More notations appearing in this paper; see Table 1 for details.
Table 1.
Summary of exponents and their relationships.
2. Preliminaries
In this section, we collect the definitions, notation that will be used throughout the paper.
2.1. Function Spaces
In this paper, our work will be built on the weighted Morrey space with two weights.
Definition 3
(Weighted Morrey space with two weights [19]). Assume that and . For a pair of weights , the two-weighted Morrey space is defined as
where
and the supremum is taken over all balls B in . When , we use the simplified notation
Next, let us recall the definition of bounded mean oscillation space , as well as its subspace .
Definition 4
(BMO and CMO). A locally integrable function b belongs to the space if
where . The space is defined as the closure of in the topology.
The following property about functions is classical, it will also play an impotant role in our proof of main theorems.
Lemma 1
([37]). Let and , then the following inequality holds
2.2. Weights
Definition 5
(Muckenhoupt class). For , a weight w belongs to if
where . For , if there exists such that for almost every . We also denote .
In order to prove our main Theorem, we need some facts about the weight and . The weight class , mentioned earlier, was introduced by Moen [3] independently.
Definition 6
(Class of [3]). Let , , and . One says that a vector of weights is in the multiple weights class if it satisfies
where and are nonnegative and locally integrable functions on . When , is understood as . Moreover, when , is understood as .
We will need the following characterization of multiple weights, which was established by Iida [38].
Lemma 2
([38]). Let , and . A multiple weights if and only if
(i) , where ;
(ii) , where .
An analogous statement holds for , if we regard the condition as the condition .
To handle the product weight , we need the following estimate which controls its norm by the and norms of and , respectively.
Lemma 3
([39]). Let , , and , , then for any ball B in , there exists an absolute constant such that
The classical Muckenhoupt weights enjoy the following doubling condition and reverse Hölder type inequality; see [40], for example.
Lemma 4
([40]). If and , then for any fixed ball B in , we have
Lemma 5
(Reverse Hölder property of weights [40]). If , then for any B in and any set , there exists a constant such that
3. Proof of Boundedness
In order to prove Theorem 4, we will use the techniques of function decomposition and the properties of weights.
Proof of Theorem 4.
Let be a fixed ball. We perform a standard truncation:
Since is a sub-linear operator, we can split as the following four part to estimate by Minkowski’s inequality,
Regarding , the condition yields . Hence, it follows from the weighted boundedness for in Remark 1, (5) and (6) that
Consider now . To estimate , we need to use the properties of , so it’s natural to write
For any , using (1), we have
Applying Hölder’s inequality and the fact that and (5), we obtain
Hence,
Note that . Thus, by (7), there exsits such that
By Lemma 1, we get
where the last series converges due to and .
On the other hand, when , and , we observe that . In fact, since , so
Similarly, using , it yields that
Hence, we get
Note that . By Hölder’s inequality and Lemma 1, we can get
For , applying Hölder’s inequality and Lemma 2, we have
Thus, for , and , the Minkowski inequality gives us that
Hence,
Similar to , we divide into and to estimate as follows,
Similar to the approach outlined in (10) and (12) for handling , we get
Since , a straightforward calculation gives
Thus, by the estimate (15), similar to estimate (13) and (14) of , we get
which shows that
Hence,
Finally, we turn to the term . The estimate for is similar to the method used for . We outline the argument as follows.
Similarly, the following estimate for can also be obtained.
Combining the above estimates, we get
What’s more, it immediately follows that
Next, we prove the boundedness of the bilinear fractional maximal iterated commutator on weighted Morrey spaces. Under the same assumptions, it suffices to verify the following inequalities produced by the standard function decomposition (8):
In the same way as estimate in (9) and using the weighted boundedness for in Remark 1, we can get the proof of (20), namely
To estimate in (21), we still need to switch the commutator into fractional maximal operators, so we divided it into the following parts:
First, similar to the estimates of in (12), we have
Then, similar to (14) for and (16) and (17) for , we obtain, respectively,
and
Note that
Therefore,
Then, we get
Similar results hold for and , the details of which are omitted here. Combining the estimates above, we obtain
We complete the proof of Theorem 4. □
4. Proof of Compactness
This section is devoted to establishing the compactness of commutators of bilinear fractional maximal operators on weighted Morrey spaces. The proof requires the following auxiliary lemmas.
First, we list some facts of the commutators of , which are obvious, we omit their proofs here.
Lemma 6.
If , , and . Then
- (i)
- ;
- (ii)
- , where , for every ;
- (iii)
- For each ,
For the sake of obtaining our compact results, we also need the following estimates for maximal operators.
Lemma 7.
Let , and . Consider concentric balls and such that . Then
where , (equivalently, ), and .
Proof.
Let’s consider the following two cases: and .
Case I: . For any , a simple calculation gives us
Then
Case II: . By the triangle inequality tells us that
For any , we simply have
For , since the above estimate, we obtain
We now claim the following inequality holds
In fact, we have
When , by the Bernoulli inequality, we have
On the other hand, for , a similar calculation yields
Therefore, our claim (24) holds. It implies that
Applying Hölder’s inequality with and yields
Hence,
By the same argument as for , we obtain
Thus, we get the desired result. □
The proof of Theorem 5 relies on the following characterization of strongly precompact subsets in , which is a variant of Fréchet–Kolmogorov theorem on weighted Morrey spaces.
Lemma 8
([41]). Let , , , be a subset in . Then is strongly pre-compact in if and only if the following three conditions are satisfied:
- (1)
- ;
- (2)
- , uniformly in , where ;
- (3)
- , uniformly in .
In order to check Fréchet–Kolmogorov theorem above for bilinear fractional maximal operators, the following results are necessary.
Lemma 9
([9]). Let , if , we have
Now, we start the proof of compactness.
Proof of Theorem 5.
We consider only the compactness of and , as the proof for is similar. Without loss of generality, it may be assumed that F and G are sets on and , respectively. We need to show the set is strongly pre-compact on when . According to a density argument, if , , then there exists a sequence of functions such that
Thus, by Lemma 6 and (25), to prove Theorem 5, it suffices to establish the strong precompactness of in for . By Lemma 8, we only need to verify that conditions (1)–(3) hold uniformly in for . The proof is carried out in two steps, note that condition (1) is an immediate consequence of Theorem 4.
Step I. satisfies condition (2) in Lemma 8.
As is well known, the uncentered and centered maximal operators control each other. Therefore, it suffices to consider the centered fractional maximal operator. Without loss of generality, we assume that . For any , , we have
Write
and
Since and , we have . Applying Hölder’s inequality, it yields that
Observe that for , we get . Similarly, we have
Therefore, we get
Thus, for any fixed ball , by the Minkowski inequality, we obtain
where , , and the implict constant in the last inequality is independent of the ball . Since is a fixed constant reltated to the compact support of b and the exponent is strictly positive, thus, as , the term tends to zero. Then, for , we have
holds, where and .
Step II. satisfies condition (3) in Lemma 8.
Our goal is to prove the following estimate
Without loss of generality, consider fixed points satisfying , we assume that
Therefore, for any , there is a ball such that
Since , we get
We also have
Applying the inequalities (26) and (27), we can get
To optimize the bound, we let and apply the Lemma 7,
Note that for , ,
Hence, by (3) and Theorem 4, for any , we have
Hence, we obtain the following desired estimate
Next, we will prove the compactness of . Suppose that . For any , there exists such that , then by Theorem 4, we obtain
Thus, to prove the compactness of on for any , it suffices to show that is compact for any . For arbitrary subsets and let
Then, we shall prove that for any , satisfies the conditions (1)–(3) of Lemma 8. By Theorem 4, condition (1) holds immediately.
Next we will prove that satisfies condition (2) in Lemma 8. Assume that and , . For any , using Hölder’s inequality and Lemma 5 yields
where the second from last step is due to and we used the fact that and Lemma 3 in the last inequality. Using Lemma 2, and we can get . Hence, we have for any fixed ball ,
where we used the doubling condition in Lemma 4 in the fourth inequality. Therefore, together with Lemma 9 yields that
Thus, condition (2) of Lemma 8 holds for all and .
Finally, we will prove that the set satisfies condition (3) of Lemma 8, that is, to show that G is uniformly equicontinuous. It suffices to verify that for any , and the following estimate holds
where is sufficiently small and depends only on . Consider two fixed points satisfying , without loss of generality, we assume
Therefore, let , there exists a ball such that
Since , we infer that
Applying the above inequalities (30) and (31), we have
Consider the fact for , we have
Similar to the proof of Lemma 7. Let , then for any , we obtain
Thus, applying Lemma 2, Theorem 4 and (28), for any , we get
Thus, we conclude that (29) holds for whenever and . This completes the proof of Theorem 5. □
Author Contributions
Conceptualization, K.Z., X.T., C.Z. and Z.L.; methodology, X.T., C.Z., K.Z. and Z.L.; validation, X.T., Z.L., C.Z. and K.Z.; formal analysis, K.Z., C.Z., X.T. and Z.L.; investigation, K.Z., C.Z., Z.L. and X.T.; resources, X.T.; writing—original draft preparation, K.Z., C.Z., Z.L. and X.T.; writing—review and editing, X.T., C.Z., K.Z. and Z.L.; supervision, X.T.; project administration, X.T., K.Z., C.Z. and Z.L.; funding acquisition, X.T., C.Z., Z.L. and K.Z. 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 No. 12271483) and the Zhejiang University of Science and Technology Graduate Student Science, Innovation Fund Program (Nos. 2024yjskc20, 2021yjsjg09) and A Project Supported by Scientific Research Fund of Zhejiang Provincial Education Department (No. Y202557823).
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.
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