The effect of the smoothness of fractional type operators over their commutators with Lipschitz symbols on weighted spaces
Estefan\'ia Dalmasso, Gladis Pradolini, Wilfredo Ramos

TL;DR
This paper establishes boundedness results for fractional integral operators and their commutators with Lipschitz symbols on weighted spaces, including new cases with less regular kernels and characterizations of symbol classes.
Contribution
It provides new boundedness results for fractional operators and their commutators with Lipschitz symbols, including cases with less regular kernels and characterizations involving symbols.
Findings
Boundedness of fractional operators on weighted spaces.
New results for commutators with less regular kernels.
Characterization of symbols related to commutator boundedness.
Abstract
We prove boundedness results for integral operators of fractional type and their higher order commutators between weighted spaces, including -, - and -Lipschitz estimates. The kernels of such operators satisfy certain size condition and a Lipschitz type regularity, and the symbol of the commutator belongs to a Lipschitz class. We also deal with commutators of fractional type operators with less regular kernels satisfying a H\"ormander's type inequality. As far as we know, these last results are new even in the unweighted case. Moreover, we give a characterization result involving symbols of the commutators and continuity results for extreme values of .
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The effect of the smoothness of fractional type operators over their commutators with Lipschitz symbols on weighted spaces
Estefanía Dalmasso [email protected] Instituto de Matemática Aplicada del Litoral, UNL, CONICET, FIQ, Santa Fe, Argentina.
Gladis Pradolini [email protected] Facultad de Ingeniería Química, UNL, Santa Fe, Argentina. Researcher of CONICET.
Wilfredo Ramos [email protected] Facultad de Ciencias Exactas y Naturales y Agrimensura, UNNE, Corrientes, Argentina. Researcher of CONICET.
Abstract
We prove boundedness results for integral operators of fractional type and their higher order commutators between weighted spaces, including -, - and -Lipschitz estimates. The kernels of such operators satisfy certain size condition and a Lipschitz type regularity, and the symbol of the commutator belongs to a Lipschitz class. We also deal with commutators of fractional type operators with less regular kernels satisfying a Hörmander’s type inequality. As far as we know, these last results are new even in the unweighted case. Moreover, we give a characterization result involving symbols of the commutators and continuity results for extreme values of .
1 Introduction
There is a close relationship between the theory of Partial Differential Equations and Harmonic Analysis. This is evidenced, for instance, by the existence of a mechanism that provides us with regular solutions of PDE’s when we equip this machinery with continuity properties of certain related operators (see, for example, [4], [5], [8], [9], [12], [34]). Therefore, it seems appropriate to explore the boundedness properties of the mentioned operators and, particularly, we shall be concerned with commutators of integral operators of fractional type.
It is well known that the fractional integral operator of order , , is defined by
[TABLE]
whenever this integral is finite. There is a vast amount of information about the behavior of the operator above (see for example [18], [20], [26], [30] and [36]). In [6], Chanillo introduced the first order commutator of with a symbol , formally defined by
[TABLE]
Particularly, if , the space of bounded mean oscillation, the author proved that, for and , the operator is bounded from into . Some topics related to properties of boundedness for commutators of fractional integral operators for extreme values of can be found in [19]. (For more information about spaces see [21]).
The continuity properties of the commutator of the fractional integral operator acting on different spaces were studied by several authors contributing, in this way, to the development of PDE’s. Some related articles are given by [2], [10], [14], [17], [23], [27], [28], [29], [33], [35]. In [25] the authors consider the commutators of certain fractional type operators with Lipschitz symbols and prove the boundedness between Lebesgue spaces, including the boundedness from Lebesgue spaces into and Lipschitz spaces on non-homogeneous spaces. (See also [32] in the context of variable Lebesgue spaces).
Nevertheless, there is not enough information about the behavior of the commutators acting between weighted Lebesgue spaces, even less for extreme values of , that is, the weighted - or -Lipschitz boundedness. Hence, one of our main aims is, precisely, to give sufficient conditions on the weights in order to obtain these continuity properties. Some previous results in this direction were given in [1] where the authors study the boundedness between Lebesgue spaces with variable exponent for commutators of fractional type operators with symbols, (see also [11] in the framework of Orlicz spaces).
We shall first consider fractional type operators, and their commutators, which kernels satisfy certain size condition and a Lipschitz type regularity. For this type of operators we prove boundedness results of the type described above. Particularly we prove a characterization result involving symbols of the commutators and continuity results for extreme values of .
Later, we study commutators of fractional type operators with less regular kernels. These type of operators include a great variety of operators and were introduced in [3]. See section 2.2 for examples and more information.
The paper is organized as follows. In section §2 we give the preliminaries definitions in order to state the main results of the article, which are also included in this section. Then, in §3 we give some auxiliary results which allow us to prove the main results in §4.
2 Preliminaries and main results
In this section we give the definitions of the operators we shall be dealing with and the functional class of the symbols in order to define the commutators.
We shall consider fractional operators of convolution type , , defined by
[TABLE]
where the kernel is not identically zero and verifies certain size and smoothness conditions.
Let . We say that a function belongs to the space if there exists a positive constant such that, for every ,
[TABLE]
The smallest of such constants will be denoted by . We will be dealing with commutators with symbols belonging to this class of functions.
Given a weight , that is, a non-negative and locally integrable function, we say that a measurable function belongs to for some if
We classify the operators defined in (2.1) into two different types, according to the conditions satisfied by .
2.1 Fractional integral operators with Lipschitz regularity
We say that satisfies the size condition if it verifies the following inequality
[TABLE]
for every and some positive constant .
We shall also assume that satisfies the smoothness condition , that is, there exist a positive constant and such that
[TABLE]
whenever .
A typical example is the fractional integral operator , whose kernel satisfies conditions and , as it can be easily checked.
Related with the fractional integral operators , we can formally define the higher order commutators with symbol , by
[TABLE]
where is the order of the commutator. Clearly, .
As we have said, we are interested in studying the boundedness properties of the commutators , with symbol , on weighted spaces. We shall first consider their continuity on weighted Lebesgue spaces of the type defined previously. We shall also analyze the boundedness of from weighted Lebesgue spaces into certain weighted version of Lipschitz spaces. For and a weight, these spaces are denoted by and collect the functions that satisfy
[TABLE]
where denotes the essential supremum of a measurable function . The case of the space above was introduced in [26] as a weighted version of the space of functions with bounded mean oscillation.
The classes of weights we will be dealing with are the well-known classes of Muckenhoupt and Wheeden ([26]). For these classes are defined as the weights such that
[TABLE]
When , we understand that as .
In this subsection we shall assume that the operator has a convolution kernel that verifies conditions and with . In order to simplify the hypothesis we shall supposse that with the convention that if .
We now give the boundedness result between weighted Lebesgue spaces for the higher order commutators of with Lipschitz symbols.
Theorem 2.1**.**
Let and . Let , and . If , then there exists a positive constant such that
[TABLE]
for every .
Remark 2.2*.*
When and , the result above was proved in [26]. Notice that there are no symbols or parameters in the hypothesis in this case.
The next result gives the continuity properties of between weighted Lebesgue spaces and spaces. By we understand if and [math] is .
Theorem 2.3**.**
Let , and . Let , if or , if . Let and . If , then there exists a positive constant such that
[TABLE]
for every .
Remark 2.4*.*
When , and , the result above was proved in [25] in the general context of non-doubling measures.
Remark 2.5*.*
If , then and the space is the weighted version of the spaces introduced in [26]. By taking into account the range of in Theorem 2.1, it is clear that this is the endpoint value from which the Lebesgue spaces change into and Lipschitz spaces when the commutator acts. Particularly, if and , this is the well-known result proved in [26]. Notice again that there are no parameters or symbols in this case.
On the other hand, if , and , that is, in the definition of the class , the result above was proved in [31].
For the extreme value , and , we obtain the following endpoint result in order to characterize the symbol in in terms of the boundedness of in the sense of Theorem 2.3. In order to give this result we introduce some previous notation. For we denote . If also , , we denote , where for a given ball and a locally integrable function .
Theorem 2.6**.**
Let , and . If and , the following statements are equivalent.
- (i)
; 2. (ii)
There exists a positive constant such that
[TABLE]
for every ball , and .
Remark 2.7*.*
When , and the result above was proved in [25] in a more general context of non-homogeneous spaces. Certainly, their result was inspired in the article of [19], where the same result is proved for , , and .
Remark 2.8*.*
In [19] the authors also have obtained that, in the case of , , and , the boundedness of the commutator from into can only occur if is constant. In our case, if , when , and , we can deduce, by (2.3), that, if is bounded from into , then
[TABLE]
Since it is easy to see that
[TABLE]
we have that
[TABLE]
Following the same guidelines as in [19] with for , we obtain that
[TABLE]
Due tu the fact that when , we have almost everywhere, for every ball , which yields that is essentially constant.
2.2 Fractional integral operators with Hörmander type
regularity
We now introduce the conditions on the kernel that will be considered in this section. First, we must give some notation.
It is well-known that the commutators of fractional integral operators can be controlled, in some sense, by maximal type operators associated to Young functions. By a Young function we mean a function that is increasing, convex and verifies and when . The -Luxemburg average over a ball is defined, for a locally integrable function , by
[TABLE]
The maximal type operators that control the commutators involve these averages. More precisely, if and , we define the fractional type maximal operator associated to a Young function , by
[TABLE]
where the supremum is taken over every ball that contains .
Given a Young function , the following Hölder’s type inequality holds for every pair of measurable functions
[TABLE]
where is the complementary Young function of , defined by
[TABLE]
It is easy to see that for every .
Moreover, given and Young functions verifying that for every , the following generalization holds
[TABLE]
We are now in position to define the smoothness condition on .
We say that if there exist and such that for every and
[TABLE]
where means the set .
When , , we denote this class by and it can be written as
[TABLE]
The kernels given above are, a priori, less regular than the kernel of the fractional integral operator and they have been studied by several authors. For example, in [22], the author studied fractional integrals given by a multiplier. If is a function, the multiplier operator is defined, through the Fourier transform, as for in the Schwartz class. Under certain conditions on the derivatives of , the multiplier operator can be seen as the limit of convolution operators , having a simpler form. Their corresponding kernels belong to the class with constant independent of , for certain values of given by the regularity of the function (see [22]).
Other examples of this type of operators are fractional integrals with rough kernels, that is, with kernel where is a function defined on the unit sphere of , extended to radially. The function is an homogeneous function of degree [math]. In [3, Proposition 4.2], the authors showed that , for certain Young function , provided that with
[TABLE]
where is the -modulus of continuity given by
[TABLE]
for every . This type of operators where also studied in [7] and [13].
As we said previously, we are interested in studying the higher order commutators of . Since we are dealing with symbols of Lipschitz type, the smoothness condition associated to these commutators is defined as follows.
Definition 2.9**.**
Let , , and let be a Young function. We say that if
[TABLE]
for some constants and and for every with .
Clearly, when or , .
Remark 2.10*.*
It is easy to see that whenever .
Recall that Fourier multipliers and fractional integrals with rough kernels are examples of fractional integral operators with for certain Young function. By assuming adequate conditions depending on on the multiplier , or on the -modulus of continuity , one can obtain kernels . This fact can be proved by adapting Proposition 4.2 and Corollary 4.3 given in [3] (see also [24]).
We shall also deal with a class of Young functions that arises in connection with the boundedness of the fractional maximal operator on weighted Lebesgue spaces (see §3). Given , and a Young function , we shall say that if is the inverse of a Young function and for every , that is, there exists a positive constant such that
[TABLE]
for each of those values of .
We now state the following generalizations of Theorems 2.1 and 2.3. We shall consider again .
Theorem 2.11**.**
Let and . Let , and . Assume that has a kernel for a Young function such that its complementary function for some . Then, if is a weight verifying , there exists a positive constant such that
[TABLE]
for every .
Remark 2.12*.*
If we consider, for example, with , then and this function verifies condition . Thus, satisfies the hypothesis of the theorem above and, in this case, we can take . As we have mentioned before, this condition is related with the boundedness of the corresponding fractional maximal operator between and when (see Theorem 3.6 below). When , a typical example is for . In this case, the Young function related with the smoothness condition on the kernel given in the theorem above is , where .
Theorem 2.13**.**
Let , and such that . Let be a weight such that for some . Assume that has a kernel for a Young function such that for every . If , then there exists a positive constant such that
[TABLE]
for every .
Theorem 2.14**.**
Let , and . Let be a weight such that for some . Let be a fractional integral operator with kernel where is a Young function verifying for every , and . If , the following statements are equivalent,
- (i)
; 2. (ii)
There exists a positive constant such that
[TABLE]
for every ball , and .
3 Auxiliary results
In this section we give some previous results. We begin with some inequalities involving functions in .
Lemma 3.1**.**
Let and a ball. If , then
- (i)
for every , ,
[TABLE] 2. (ii)
for every
[TABLE]
The following lemma is an easy consequence of condition .
Lemma 3.2**.**
Let be a kernel verifying condition with . Then, for any ball , we have
[TABLE]
Proof.
By changing variables first, we then split the integral into dyadic sets and use condition in each set as it follows
[TABLE]
since . ∎
In order to obtain the boundedness result between Lebesgue spaces, we prove the following key estimate, which shows how can we control the higher order commutators of by a fractional maximal function via the sharp maximal operator , , given by
[TABLE]
where .
Lemma 3.3**.**
Let , , and . Let and a fractional integral operator with kernel . Then, there exists a positive constant such that
- (i)
if ,
[TABLE]
where , . 2. (ii)
if for some Young function ,
[TABLE]
where , , and is the complementary function of .
Remark 3.4*.*
For , and and homogeneous of degree , the proof of (i) can be found in [32] for a larger class of Lipschitz spaces with variable parameter.
Proof of Lemma 3.3:.
Fix a ball containing , and decompose the commutator in the following way (see, for instance, [16] or [27])
[TABLE]
If we split where , it is sufficient to estimate, for , the average
[TABLE]
where denotes the center of , and
[TABLE]
For simplicity, we will assume . We shall first estimate . From Lemma 3.1 (i) we have
[TABLE]
where . Note that the last maximal operator is of fractional-type since for every .
We will now estimate . If and , then and we have, by Lemma 3.2, that
[TABLE]
From Lemma 3.1 (i), we can estimate by to obtain
[TABLE]
Since , it is clear that , so is a fractional-type maximal operator.
In order to estimate , we first observe that, by Jensen’s inequality
[TABLE]
and, setting , the integrand can be estimated, using Lemma 3.1 (i), as follows
[TABLE]
Here, we must distinguish the cases and .
If ,
[TABLE]
since . Therefore
[TABLE]
Let us now consider the case . Applying Hölder’s inequality with and in (3.3), we obtain
[TABLE]
Therefore,
[TABLE]
Combining all these estimates, we obtain the desired pointwise inequalities. ∎
The following result is a variant of the well-known Fefferman-Stein’s inequality (see [15]) and it will be a key estimate to prove Theorem 2.1.
Lemma 3.5** ([28]).**
Let and . Let be a weight in the class. Then, there exists a positive constant such that
[TABLE]
for every measurable function .
We shall also need two results involving the boundedness of fractional maximal operators associated with Young functions, that can be found in [1].
Theorem 3.6** ([1]).**
Let , and . Let be a weight such that . Let be a Young function that satisfies . Then, is bounded from into .
Note that if for any , then and the following result holds.
Theorem 3.7** ([1]).**
Let , and . Let be a weight and where and . Then, is bounded from into if and only if .
In order to prove Theorem 2.6, we shall need the following estimate.
Lemma 3.8**.**
Let , for . Let , , and . Let be a ball and . If is a fractional integral operator with kernel , then, for every ,
[TABLE]
for each .
Proof of Lemma 3.8.
If , by taking , and , and setting , we have from Lemma 3.1 (i) that
[TABLE]
Now by Hölder’s inequality and the fact that with , we get
[TABLE]
where the series is summable since and . ∎
Lemma 3.9**.**
Let , , , , and where is a weight such that for some . Let be a ball and . If is a fractional integral operator with kernel , where is a Young function verifying for every , then, for every ,
[TABLE]
for each .
Proof.
Fix and . Setting which satisfies , and using Lemma 3.1 (i) we have
[TABLE]
Since , we can use Hölder’s inequality with and the fact that , to get
[TABLE]
where we have used that for , and that . ∎
4 Proofs of main results
Proof of Theorem 2.1:.
The proof will be done by induction and, without loss of generality, we shall assume . Notice that when , and the boundedness result is known to be true for weights (see [1] in the more general setting of variable Lebesgue spaces).
Fix and define the following auxiliary exponents
[TABLE]
Clearly, and, if , we have that
[TABLE]
Notice also that for every .
It is easy to see that yields for every . Moreover, from the properties of these classes, we have that for every .
By applying Fefferman-Stein’s inequality (3.4) with , we get
[TABLE]
Now, since , from Lemma 3.3 we have that
[TABLE]
Since and , we have that
[TABLE]
On the other hand, since for every , then the fractional maximal operator is bounded from to . Thus, we have that
[TABLE]
Since and , and recalling that , we apply the inductive hypothesis to get
[TABLE]
Proof of Theorem 2.3:.
Fix . For a ball , set , and . Then,
[TABLE]
Let us first notice that, since , there exists such that and, we can choose such that .
For we write
[TABLE]
By using Tonelli’s theorem and the fact that , we obtain
[TABLE]
We notice that for , if is the radius of , then so we can use Lemma 3.2 and Hölder’s inequality to have
[TABLE]
For , we first estimate the difference for every . Since
[TABLE]
we analyze . If
[TABLE]
By the definition of , we get that
[TABLE]
Then, by Hölder’s inequality, the definition of and the fact that , we deduce that
[TABLE]
In order to estimate , we use that and the smoothness condition on the kernel to get that
[TABLE]
Then, by Tonelli’s Theorem and the smoothness condition
[TABLE]
since . Therefore, we deduce the inequality
[TABLE]
and, thus,
[TABLE]
so it remains to take supremum over all the balls to get the desired result. ∎
Proof of Theorem 2.6 .
Let be a ball and . Let with . Then,
[TABLE]
We can rewrite the above identity in the following form
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
For , since , there exists such that . We take , so and and, moreover, . By applying Hölder’s inequality with and and the boundedness of from to (Theorem 2.1) we obtain that
[TABLE]
Since , we can apply again Hölder’s inequality and the fact that to get
[TABLE]
In order to estimate we use the inequality
[TABLE]
and Lemma 3.8 to obtain
[TABLE]
Consequently, since
[TABLE]
by first assuming that , then
[TABLE]
On the other hand, if we suppose that (2.3) holds, it is easy to see that . ∎
Proof of Theorem 2.11:.
We proceed by induction. We must point out that the case was already proved in [1]. As in the proof of Theorem 2.1 we have that
[TABLE]
We shall now use the second part of Lemma 3.3, since we have that . Thus, we obtain that
[TABLE]
where we have assumed, without loss of generality, that .
From the hypothesis on the weight and the Young function , by Theorem 3.6 we know that .
The proof now follows in the same way as in the proof of Theorem 2.1. ∎
Proof of Theorem 2.13:.
Take and as in the proof of Theorem 2.3, and define and likewise.
Since in we have only used the size condition , the estimation is the same, by taking into account that yields for any .
For we proceed similarly but we have to use now that with for some and all . We split the average into and as in the proof of Theorem 2.3. The last one can be controlled in the same form. The difference will be in . Recall that
[TABLE]
for .
By the definition of , we get that
[TABLE]
Now, since , and , we can prodeed as in (3.6) with to obtain
[TABLE]
Proof of Theorem 2.14:.
We proceed as in the proof of Theorem 2.6. We must only use the corresponding hypothesis on the kernel, that guarantees the validity of Theorem 2.11 and Lemma 2.14, which are immediate from the fact that (see Remark 2.10). ∎
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