Anisotropic Variable Hardy-Lorentz Spaces and Their Real Interpolation
Jun Liu, Dachun Yang, Wen Yuan

TL;DR
This paper introduces anisotropic variable Hardy-Lorentz spaces, characterizes them via maximal functions and atoms, and explores their interpolation properties, linking them to variable Lorentz spaces under certain conditions.
Contribution
The authors define and characterize anisotropic variable Hardy-Lorentz spaces and establish their interpolation relations with other function spaces, extending existing theory.
Findings
Characterization of $H_A^{p( ext{·}),q}( ext{ℝ}^n)$ via maximal functions and atoms.
Identification of $H_A^{p( ext{·}),q}( ext{ℝ}^n)$ as an intermediate space through real interpolation.
Equivalence of $H_A^{p( ext{·}),q}( ext{ℝ}^n)$ and variable Lorentz spaces when $ ext{essinf}_{x} p(x) ext{ in } (1, ext{∞})$.
Abstract
Let be a variable exponent function satisfying the globally log-H\"{o}lder continuous condition, and be a general expansive matrix on . In this article, the authors first introduce the anisotropic variable Hardy-Lorentz space associated with , via the radial grand maximal function, and then establish its radial or non-tangential maximal function characterizations. Moreover, the authors also obtain characterizations of , respectively, in terms of the atom and the Lusin area function. As an application, the authors prove that the anisotropic variable Hardy-Lorentz space severs as the intermediate space between the anisotropic variable Hardy space and the space via the…
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Holomorphic and Operator Theory · Differential Equations and Boundary Problems
Anisotropic Variable Hardy-Lorentz Spaces
and Their Real Interpolation 00footnotetext: 2010 Mathematics Subject Classification. Primary 42B35; Secondary 46E30, 42B30, 42B25, 46B70. Key words and phrases. variable exponent, (Hardy-)Lorentz space, expansive matrix, atom, Lusin area function, real interpolation. This project is supported by the National Natural Science Foundation of China (Grant Nos. 11571039, 11671185 and 11471042).
Jun Liu, Dachun Yang111Corresponding author / April 26, 2017. and Wen Yuan
Abstract Let be a variable exponent function satisfying the globally log-Hölder continuous condition, and be a general expansive matrix on . In this article, the authors first introduce the anisotropic variable Hardy-Lorentz space associated with , via the radial grand maximal function, and then establish its radial or non-tangential maximal function characterizations. Moreover, the authors also obtain characterizations of , respectively, in terms of the atom and the Lusin area function. As an application, the authors prove that the anisotropic variable Hardy-Lorentz space severs as the intermediate space between the anisotropic variable Hardy space and the space via the real interpolation. This, together with a special case of the real interpolation theorem of H. Kempka and J. Vybíral on the variable Lorentz space, further implies the coincidence between and the variable Lorentz space when .
1 Introduction
As a generalization of the classical Lebesgue spaces , the variable Lebesgue spaces , in which the constant exponent is replaced by an exponent function , were studied by Musielak [53] and Nakano [55, 56], which can be traced back to Orlicz [59, 60]. But the modern theory of function spaces with variable exponents was started with the articles [45] of Kováčik and Rákosník and [32] of Fan and Zhao as well as [21] of Cruz-Uribe and [24] of Diening, and nowadays has been widely used in harmonic analysis (see, for example, [22, 25, 79]). In addition, the theory of variable function spaces also has interesting applications in fluid dynamics [2], image processing [17], partial differential equations and variational calculus [3, 30, 40, 65].
Recently, Nakai and Sawano [54] and, independently, Cruz-Uribe and Wang [23] with some weaker assumptions on than those used in [54], extended the theory of variable Lebesgue spaces via investigating the variable Hardy spaces on . Later, Sawano [66], Zhuo et al. [85] and Yang et al. [81] further completed the theory of these variable Hardy spaces. For more developments of function spaces with variable exponents, we refer the reader to [6, 26, 44, 57, 58, 75, 76, 77, 78, 82] and their references. In particular, Kempka and Vybíral [44] introduced the variable Lorentz spaces which were a generalization of both the variable Lebesgue spaces and the classical Lorentz spaces and obtained some basic properties of these spaces including several embedding conclusions. The real interpolation result that the variable Lorentz space serves as the intermediate space between the variable Lebesgue space and the space was also presented in [44].
Very recently, Yan et al. [78] first introduced the variable weak Hardy spaces on and established various real-variable characterizations of these spaces; as application, the boundedness of some Calderón-Zygmund operators in the critical case was also presented. Based on these results, via establishing a very interesting decomposition for any distribution of the variable weak Hardy space, Zhuo et al. [86] proved the following real interpolation theorem between the variable Hardy space and the space :
[TABLE]
where denotes the variable weak Hardy space and the real interpolation.
As was well known, Fefferman et al. [33] showed that the Hardy-Lorentz space was actually the intermediate space between the classical Hardy space and the space under the real interpolation, which is the main motivation to develop the real-variable theory of . Thus, it is natural and interesting to ask whether or not the variable Hardy-Lorentz space also serves as the intermediate space between the variable Hardy space and the space via the real interpolation, namely, if in (1.1) is replaced by with , what happens?
On the other hand, as the series of works (see, for example, [1, 5, 7, 33, 35, 49, 61]) reveal, the Hardy-Lorentz spaces (as well the weak Hardy spaces) serve as a more subtle research object than the usual Hardy spaces when studying the boundedness of singular integrals, especially, in some critical cases, due to the fact that these function spaces own finer structures. Moreover, after the celebrated articles [14, 15, 16] of Calderón and Torchinsky on parabolic Hardy spaces, there has been an enormous interest in extending classical function spaces arising in harmonic analysis from Euclidean spaces to some more general underlying spaces; see, for example, [28, 36, 38, 39, 67, 68, 69, 71, 72, 80]. The function spaces in the anisotropic setting have proved of wide generality (see, for example, [10, 11, 12]), which include the classical isotropic spaces and the parabolic spaces as special cases. For more progresses about this theory, we refer the reader to [46, 47, 50, 51, 52, 31, 73, 74] and their references. In particular, the authors recently introduced the anisotropic Hardy-Lorentz spaces , associated with some dilation , and obtained their various real-variable characterizations (see [50, 51]). Also, very recently, Zhuo et al. [84] developed the real-variable theory of the variable Hardy space on an RD-space . Recall that a metric measure space of homogeneous type is called an RD-space if it is a metric measure space of homogeneous type in the sense of Coifman and Weiss [19, 20] and satisfies some reverse doubling property, which was originally introduced by Han et al. [39] (see also [83] for some equivalent characterizations).
To further study the intermediate space between the variable Hardy space and the space via the real interpolation and also to give a complete theory of variable Hardy-Lorentz spaces in anisotropic setting, in this article, we first introduce the anisotropic variable Hardy-Lorentz space, via the radial grand maximal function, and then establish its several real-variable characterizations, respectively, in terms of the atom, the radial or the non-tangential maximal functions, and the Lusin area function. As an application, we prove that the anisotropic variable Hardy-Lorentz space severs as the intermediate space between the anisotropic variable Hardy space and the space via the real interpolation. This, together with a special case of the real interpolation theorem of Kempka and Vybíral in [44] on the variable Lorentz space, further implies the coincidence between and the variable Lorentz space when .
To be precise, this article is organized as follows.
In Section 2, we first recall some notation and notions on Euclidean spaces, with anisotropic dilations, and variable Lebesgue spaces as well as some basic properties of these spaces to be used in this article. Then we introduce the anisotropic variable Hardy-Lorentz space via the radial grand maximal function.
Section 3 is aimed to characterize by means of the radial or the non-tangential maximal functions (see Theorem 3.8 below). To this end, via the Aoki-Rolewicz theorem (see [8, 63]), we first prove that the quasi-norm of the tangential maximal function can be controlled by that of the non-tangential maximal function for all (see Lemma 3.5 below), where is the truncation level, is the decay level and denotes the set of all tempered distributions on . Then, by the boundedness of the Hardy-Littlewood maximal function as in (3.1) below on (see Lemma 3.3 below) with satisfying the so-called globally log-Hölder continuous condition (see (2.6) and (2.7) below) and , where and are as in (2.4) below, we obtain the boundedness of the Hardy-Littlewood maximal function on (see Lemma 3.4 below) with satisfying the same condition as that in Lemma 3.3 and . We point out that the monotone convergence property for increasing sequences on (see Proposition 2.8 below) as well as Lemmas 3.3 and 3.4 play a key role in proving Theorem 3.8.
In Section 4, via borrowing some ideas from [50, Theorem 3.6] and [78, Theorem 4.4], we establish the atomic characterization of . Indeed, we first introduce the anisotropic variable atomic Hardy-Lorentz space in Definition 4.2 below and then prove
[TABLE]
with equivalent quasi-norms (see Theorem 4.8 below). To prove that is continuously embedded into , motivated by [66, Lemma 4.1], we first conclude that some estimates related to norms for some series of functions can be reduced into dealing with the norms of the corresponding functions (see Lemma 4.5 below), which actually is an anisotropic version of [66, Lemma 4.1]. Then, by using this key lemma and the Fefferman-Stein vector-valued inequality of the Hardy-Littlewood maximal operator on (see Lemma 4.3 below), we prove that and the inclusion is continuous. The method used in the proof for the converse embedding is different from that used in the proof for the corresponding embedding of variable Hardy spaces (or, resp., anisotropic Hardy spaces ). Recall that (or, resp., ) is dense in (or, resp., ), which plays a key role in the atomic decomposition of (or, resp., ). However, this standard procedure is invalid for the space , due to its lack of a dense function subspace. To overcome this difficulty, we borrow some ideals from [50, Theorem 3.6] (see also [27]), in which the authors directly obtained an atomic decomposition for convolutions of distributions in and Schwartz functions instead of some dense function subspace.
As an application of the atomic characterization of obtained in Theorem 4.8, in Section 5, we establish the Lusin area function characterization of (see Theorem 5.2 below). In the proof of Theorem 5.2, the anisotropic Calderón reproducing formula and the method used in the proof of the atomic characterization of play a key role. However, when we decompose a distribution into a sum of atoms, the dual method used in estimating the norm of each atom in the classic case does not work anymore in the present setting. Instead, a strategy, used in [51], originated from Fefferman [34], that obtains a subtle estimate (see, for example, [51, (3.23)]) plays a key role here; see the estimate (5.16) below.
In Section 6, as another application of the atomic characterization of , we prove the following real interpolation result between the anisotropic variable Hardy space and the space :
[TABLE]
(see Theorem 6.2 below). To prove this result, via borrowing some ideas from [86], we first obtain a decomposition for any distribution of the anisotropic variable Hardy-Lorentz space into “good” and “bad” parts (see Lemma 6.5 below), which is of independent interest. We point out that, as a special case of [84, Theorem 4.3(i)], we know that the atomic characterization of holds true. This, together with the vector-valued inequality of the Hardy-Littlewood maximal function on the variable Lebesgue space (see Lemma 4.3 below), plays a key role in the proof of Lemma 6.5. Applying (1.2), together with [84, Corollary 4.20] on the coincidence between and as well as [44, Remark 4.2(ii)], we further obtain the coincidence between and when ; see Corollary 6.3 below.
We should point out that, if for some with , here and hereafter, denotes the unit matrix and denotes the Euclidean norm in , then the space becomes the classical isotropic variable Hardy-Lorentz space. In this case, the results in this article are also independently obtained by Jiao et al. [43] via some slight different methods.
Finally, we make some conventions on notation. Throughout this article, we always let and . For any multi-index , let . We denote by a positive constant which is independent of the main parameters, but its value may change from line to line. Moreover, we use to denote and, if , we then write . For any , we denote by its conjugate index, namely, . In addition, for any set , we denote by the set , by its characteristic function and by the cardinality of . The symbol , for any , denotes the largest integer not greater than .
2 Preliminaries
In this section, we introduce the anisotropic variable Hardy-Lorentz space via the radial grand maximal function. To this end, we first recall some notation and notions on spaces of homogeneous type associated with dilations and variable Lebesgue spaces as well as some basic conclusions of these spaces to be used in this article. For an exposition of these concepts, we refer the reader to the monographs [10, 22, 25].
We begin with recalling the notion of expansive matrices in [10].
Definition 2.1**.**
A real matrix is called an expansive matrix (shortly, a dilation) if
[TABLE]
here and hereafter, denotes the collection of all eigenvalues of .
Throughout this article, always denotes a fixed dilation and . Then we easily find that by [10, p. 6, (2.7)]. Let and be two positive numbers satisfying that
[TABLE]
In the case when is diagonalizable over , we can even take and . Otherwise, we need to choose them sufficiently close to these equalities according to what we need in the arguments below.
It was proved in [10, p. 5, Lemma 2.2] that, for a given dilation , there exist an open ellipsoid and such that , and one may additionally assume that , where denotes the *n-*dimensional Lebesgue measure of the set . For any , let . Obviously, is open, and . An ellipsoid for some and is called a dilated ball. Denote by the set of all such dilated balls, namely,
[TABLE]
Throughout this article, let be the minimal integer such that . Then, for any , it holds true that
[TABLE]
and
[TABLE]
where denotes the algebraic sum of sets .
The notion of the homogeneous quasi-norm induced by was introduced in [10, p. 6, Definition 2.3] as follows.
Definition 2.2**.**
A measurable mapping is called a homogeneous quasi-norm, associated with a dilation , if
- (i)
implies that , here and hereafter, denotes the origin of ; 2. (ii)
for any ; 3. (iii)
for any , where is a constant independent of and .
In the standard dyadic case , for any is an example of the homogeneous quasi-norm associated with . In [10, p. 6, Lemma 2.4], it was proved that all homogeneous quasi-norms associated with are equivalent. Therefore, for a given dilation , in what follows, we always use the step homogeneous quasi-norm defined by setting, for any ,
[TABLE]
for convenience. Obviously, for any , . Observe that is a space of homogeneous type in the sense of Coifman and Weiss [19, 20], here and hereafter, denotes the -dimensional Lebesgue measure, and, moreover, is indeed an RD-space (see [39, 83]).
Recall that a measurable function is called a variable exponent. For any variable exponent , let
[TABLE]
Denote by the set of all variable exponents satisfying .
Let be a measurable function on and . Then the modular functional (or, for simplicity, the modular) , associated with , is defined by setting
[TABLE]
and the Luxemburg (also called Luxemburg-Nakano) quasi-norm by
[TABLE]
Moreover, the variable Lebesgue space is defined to be the set of all measurable functions satisfying that , equipped with the quasi-norm .
Remark 2.3**.**
Let .
- (i)
Obviously, for any and ,
[TABLE]
Moreover, for any and , and
[TABLE]
here and hereafter,
[TABLE]
with as in (2.4). In particular, when , is a Banach space (see [25, Theorem 3.2.7]). 2. (ii)
It was proved in [22, Proposition 2.21] that, for any function with , and, in [22, Corollary 2.22] that, if , then .
A function is said to satisfy the globally log-Hölder continuous condition, denoted by , if there exist two positive constants and , and such that, for any ,
[TABLE]
and
[TABLE]
The following variable Lorentz space is known as a special case of the variable Lorentz space investigated by Kempka and Vybíral in [44].
Definition 2.4**.**
Let . The variable Lorentz space is defined to be the set of all measurable functions such that
[TABLE]
is finite.
From [44, Lemma 2.4 and Theorem 3.1], we deduce the following Lemmas 2.5 and 2.6, respectively.
Lemma 2.5**.**
Let and . Then, for any measurable function ,
[TABLE]
with the usual interpretation for , where the equivalent positive constants are independent of .
Lemma 2.6**.**
Let and . Then defines a quasi-norm on .
It is easy to obtain the following result, the details being omitted.
Lemma 2.7**.**
Let and . Then, for any and ,
[TABLE]
From the monotone convergence theorem of (see [22, Corollary 2.64]), we easily deduce the following monotone convergence property of , the details being omitted.
Proposition 2.8**.**
Let and be some sequence of non-negative functions satisfying that , as , increases pointwisely almost everywhere to in . Then
[TABLE]
Throughout this paper, denote by the space of all Schwartz functions, namely, the set of all functions satisfying that, for every integer and multi-index ,
[TABLE]
These quasi-norms also determine the topology of . We use to denote the dual space of , namely, the space of all tempered distributions on equipped with the weak- topology. For any , let
[TABLE]
equivalently,
[TABLE]
In what follows, for any and , let .
Definition 2.9**.**
Let and . The non-tangential maximal function and the radial maximal function of with respect to are defined, respectively, by setting, for any ,
[TABLE]
and
[TABLE]
For any given , the non-tangential grand maximal function and the radial grand maximal function of are defined, respectively, by setting, for any ,
[TABLE]
and
[TABLE]
We now introduce anisotropic variable Hardy-Lorentz spaces as follows.
Definition 2.10**.**
Let , and , where is as in (2.5). The anisotropic variable Hardy-Lorentz space, denoted by , is defined by setting
[TABLE]
and, for any , let .
Remark 2.11**.**
- (i)
Even though the quasi-norm of in Definition 2.10 depends on , it follows from Theorem 3.8 below that the space is independent of the choice of as long as . If , then the space is just the anisotropic Hardy-Lorentz space investigated by Liu et al. in [50] and, if for some with and , then the space becomes the variable weak Hardy space introduced by Yan et al. in [78]. 2. (ii)
Very recently, via the variable Lorentz spaces in [29], where
[TABLE]
are bounded measurable functions, Almeida et al. [4] investigated the anisotropic variable Hardy-Lorentz spaces on . As was mentioned in [44, Remark 2.6], the space in [29] never goes back to the space , since the variable exponent in is only defined on while not on . On the other hand, the space , in this article, is defined via the variable Lorentz space (with ) from [44], which is not covered by the space in [4]. Moreover, as was pointed out in [4, p. 6], the key tool of [4] is the fact that the set is dense in . Therefore, the method used in [4] does not work for in the present article, due to the lack of a dense function subspace of even when and for some with .
3 Maximal function characterizations of
In this section, we characterize in terms of the radial maximal function (see (2.9)) or the non-tangential maximal function (see (2.8)). We begin with the following Definitions 3.1 and 3.2 from [10].
Definition 3.1**.**
For any function , and , the maximal function of with aperture is defined by setting, for any ,
[TABLE]
Definition 3.2**.**
Let , and . For any , the radial maximal function , the non-tangential maximal function and the tangential maximal function of are, respectively, defined by setting, for any ,
[TABLE]
[TABLE]
and
[TABLE]
Furthermore, the radial grand maximal function and the non-tangential grand maximal function of are, respectively, defined by setting, for any ,
[TABLE]
and
[TABLE]
For any , denote by the set of all locally -integrable functions on and, for any measurable set , by the set of all measurable functions such that
[TABLE]
Recall that the Hardy-Littlewood maximal operator is defined by setting, for any and ,
[TABLE]
where is as in (2.1).
Observe that is a space of homogeneous type in the sense of Coifman and Weiss [19, 20]. From this and [41, Theorems 5.2 and 4.3], we deduce the following lemma, which is an anisotropic version of [22, Theorem 3.16], the details being omitted.
Lemma 3.3**.**
Let .
- (i)
If , then, for any , and, for any ,
[TABLE]
where is a positive constant independent of ; 2. (ii)
If , then, for any , and, for any ,
[TABLE]
where is a positive constant independent of .
Moreover, as a simple consequence of [44, Theorem 4.1], [78, Theorem 3.1] and Lemma 3.3(ii), we immediately obtain the following boundedness of on , which is of independent interest, the details being omitted.
Lemma 3.4**.**
Let satisfy , where and are as in (2.4), and . Then the Hardy-Littlewood maximal operator is bounded on .
Lemma 3.5**.**
Let and . Then there exists a positive constant such that, for any , and ,
[TABLE]
Proof.
We first prove that, for any , and ,
[TABLE]
where is as in Definition 3.1 and, for any , , and ,
[TABLE]
Indeed, by a proof similar to that of [10, p. 42, Lemma 7.2], we easily find that, for any with and ,
[TABLE]
where, for any , . Then, by (3.4), Lemma 3.3(i) and Remark 2.3(i), we know that
[TABLE]
which, together with the definition of and Definition 2.4, further implies (3.3).
On the other hand, by [50, (4.7)], for any , , , and , we have
[TABLE]
Now we show (3.2). By (3.6), the Aoki-Rolewicz theorem (see [8, 63]), (3.5) and the fact that , it is easy to see that there exists such that
[TABLE]
which implies (3.2) and hence completes the proof of Lemma 3.5. ∎
The following Lemmas 3.6 and 3.7 are just [10, p. 45, Lemma 7.5 and p. 46, Lemma 7.6], respectively.
Lemma 3.6**.**
Let and . Then, for any given and , there exist an and a positive constant , depending on and , such that, for any , and ,
[TABLE]
Lemma 3.7**.**
Let and . Then, for any given and , there exist and a positive constant , depending on and , such that, for any and ,
[TABLE]
Now we state the main result of this section as follows.
Theorem 3.8**.**
Suppose that and with . Then, for any , the following statements are mutually equivalent:
[TABLE]
[TABLE]
[TABLE]
In this case, it holds true that
[TABLE]
where and are two positive constants independent of .
Proof.
Obviously, (3.8) implies (3.9) and (3.9) implies (3.10). Thus, to prove Theorem 3.8, it suffices to show that (3.9) implies (3.8) and that (3.10) implies (3.9).
We first prove that (3.9) implies (3.8). To this end, notice that, by Lemma 3.6 with and , we find that there exists an such that for any , and . From this and Lemma 3.5, we further deduce that, for any and ,
[TABLE]
Letting in (3.11), by Proposition 2.8, we know that
[TABLE]
which shows that (3.9) implies (3.8).
Now we show that (3.10) implies (3.9). Assume now that . By Lemma 3.7 via choosing , we find that there exists such that (3.7) holds true, which further implies that for any . Indeed, when and , we have
[TABLE]
Clearly, when , (3.12) still holds true. Thus, .
On the other hand, by Lemmas 3.6 and 3.5, we know that, for any , there exists some such that, for any and ,
[TABLE]
where is a positive constant independent of and . For any fixed , let
[TABLE]
with . Then
[TABLE]
because
[TABLE]
For any given , by an argument similar to that used in the proof of [50, (4.17)], we conclude that, for any , , and ,
[TABLE]
Then, by (3.13), Lemma 2.7, (3.14) and Lemma 3.4, for any and , we further find that
[TABLE]
which, together with the fact that and converge pointwisely and monotonically, respectively, to and as and Proposition 2.8, implies that
[TABLE]
This shows that (3.10) implies (3.9) and hence finishes the proof of Theorem 3.8. ∎
4 Atomic characterization of
In this section, we establish the atomic characterization of . We begin with the following notion of anisotropic -atoms.
Definition 4.1**.**
Let , and
[TABLE]
A measurable function on is called an anisotropic -atom if
- (i)
, where and is as in (2.1); 2. (ii)
; 3. (iii)
for any with .
For the presentation simplicity, throughout this article, we call an anisotropic -atom simply by a -atom. Now, via -atoms, we introduce the notion of the anisotropic variable atomic Hardy-Lorentz space as follows.
Definition 4.2**.**
Let , , , be as in (4.1) and be a dilation. The anisotropic variable atomic Hardy-Lorentz space is defined to be the set of all distributions satisfying that there exist a sequence of -atoms, , supported, respectively, on and a positive constant such that for any and , with some , and
[TABLE]
where for any and with the equivalent positive constants independent of and .
Moreover, for any , define
[TABLE]
with the usual interpretation for , where the infimum is taken over all decompositions of as above.
In order to establish the atomic decomposition of , we need several technical lemmas as follows. First, observe that is an RD-space (see [39, 83]). From this and [84, Theorem 2.7], we deduce the following Fefferman-Stein vector-valued inequality of the maximal operator on the variable Lebesgue space , the details being omitted.
Lemma 4.3**.**
Let . Assume that satisfies . Then there exists a positive constant such that, for any sequence of measurable functions,
[TABLE]
with the usual modification made when , where denotes the Hardy-Littlewood maximal operator as in (3.1).
Remark 4.4**.**
- (i)
Let and . Then, by Lemma 4.3 and the fact that, for any dilated ball and , , we conclude that there exists a positive constant such that, for any sequence ,
[TABLE] 2. (ii)
Let . By the definition of , we know that there exists a sequence of -atoms supported, respectively, on , satisfying that, for any and , with some and being a positive constant independent of and such that admits a decomposition as in (4.2) with for any and , where the equivalent positive constants are independent of and , and
[TABLE]
with the equivalent positive constants independent of . Moreover, by for any , the definition of and (i) of this remark, we further conclude that
[TABLE]
where the equivalent positive constants are independent of .
We also need the following useful technical lemma, whose proof is similar to that of [66, Lemma 4.1], the details being omitted.
Lemma 4.5**.**
Let , and . Then there exists a positive constant such that, for any sequence of dilated balls, numbers and measurable functions satisfying that, for each , and , it holds true that
[TABLE]
The following Proposition 4.6 and Lemma 4.7 are just [10, p. 17, Proposition 3.10 and p. 9, Lemma 2.7 ], respectively.
Proposition 4.6**.**
For any given , there exists a positive constant , depending only on , such that, for any and ,
[TABLE]
where and are as in Definition 2.9.
Lemma 4.7**.**
Let be an open set with . Then, for any , there exist a sequence of points, , and a sequence of integers, , such that
- (i)
; 2. (ii)
* are pairwise disjoint, where is as in (2.2) and (2.3);* 3. (iii)
for each , but ; 4. (iv)
, then ; 5. (v)
for any , , where is a positive constant independent of and .
Now, it is a position to state the main result of this section.
Theorem 4.8**.**
Let , , with as in (2.4) and be as in (4.1). Then with equivalent quasi-norms.
Proof.
First, we show that
[TABLE]
To this end, for any , by Remark 4.4(ii), we find that there exists a sequence of -atoms, , supported, respectively, on such that
[TABLE]
where for any and , with some for any and , and
[TABLE]
For the notational simplicity, in what follows of this proof, for any , we denote simply by when . To prove , by Definition 2.10 and Lemma 2.5, it suffices to show that
[TABLE]
For any fixed , we write
[TABLE]
Then, by Remark 2.3(i), we know that
[TABLE]
where .
For , clearly, we have
[TABLE]
To deal with , by the Hölder inequality, we find that, for any given , , and any ,
[TABLE]
where denotes the conjugate index of , namely, . By this, the facts that and for any , Remark 2.3(i) and [22, Theorem 2.61], we further conclude that
[TABLE]
On the other hand, since , then, from the boundedness of on , we deduce that, for any and ,
[TABLE]
which, combined with Lemma 4.5, Remark 4.4(i), the fact that and the Hölder inequality, implies that
[TABLE]
where . From this and (4.4), we deduce that
[TABLE]
To estimate , for any , and , by an argument similar to that used in the proof of [50, (3.27)], we have
[TABLE]
where, for any , , denotes the centre of the dilated ball and
[TABLE]
By this, Remark 2.3(i), Lemma 4.3, Remark 4.4(i) and the Hölder inequality, we find that, for any , and ,
[TABLE]
where . This, together with a calculation similar to that of (4.7), further implies that
[TABLE]
By this, (4.6) and (4.7), we have
[TABLE]
For , by Remark 4.4(i), the Hölder inequality, we know that, for any and ,
[TABLE]
By this, similarly to (4.7), we obtain
[TABLE]
For , since , it follows that there exist and such that and . By this, the value of , (4.8), Lemma 4.3 and the Hölder inequality, we find that
[TABLE]
From this and an argument similar to that used in the proof of (4.7), we deduce that
[TABLE]
which, combined with (4.5), (4.11) and (4.12), implies that
[TABLE]
This further implies that and hence finishes the proof of (4.3).
We now prove that . To this end, it suffices to show that
[TABLE]
due to the fact that each -atom is also a -atom and hence
[TABLE]
Now we prove (4.14) by three steps.
Step 1. To show (4.14), for any with and , let . By this and [10, p. 15, Lemma 3.8], we know that in as . Moreover, by [10, p. 39, Lemma 6.6], we conclude that there exists a positive constant , depending on and , but independent of , such that, for any and ,
[TABLE]
Thus, by Definition 2.10 and Proposition 4.6, we find that and
[TABLE]
The aim of this step is to prove that, for any ,
[TABLE]
where, for each and , is a -atom multiplied by a constant depending on and , but independent of and .
To show (4.15), we borrow some ideas from the proofs of [10, p. 38, Theorem 6.4] and [50, Theorem 3.6]. For any and , let
[TABLE]
Clearly, is open. From this and Lemma 4.7 with , we deduce that there exist a sequence and a sequence such that
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
where and are same as in Lemma 4.7.
Fix satisfying , and on . For any , and , let and
[TABLE]
Then , , , on by (4.17), and . From this, it follows that forms a smooth partition of unity of .
For any , define to be the linear space of all polynomials on with degree not greater than . Moreover, for each and , let
[TABLE]
Then is a finite dimensional Hilbert space. For each , since induces a linear functional on via
[TABLE]
by the Riesz lemma, it follows that there exists a unique polynomial such that, for any ,
[TABLE]
For each , and , let and
[TABLE]
Then, by an argument similar to that used in [50, p. 1679], we conclude that, for any , and as .
For any , let
[TABLE]
Then, for any , by , we know that there exists an integer such that, for any , . Since, for any and ,
[TABLE]
it follows that, for any satisfying ,
[TABLE]
where . On the other hand, by [50, (3.9)], we know that, for any and as in (4.20),
[TABLE]
which, together with (4.20), further implies that
[TABLE]
as . Here and hereafter, for any , denotes the anisotropic Hardy space introduced by Bownik in [10]. By this and the fact that, for any , as , we have
[TABLE]
where, for any ,
[TABLE]
with the infimum being taken over all decompositions of as above. From this and a proof similar to the proofs of [50, (3.12), (3.13), (3.14) and (3.16)], we deduce that, for any ,
[TABLE]
where, for any , , and , is the orthogonal projection of on with respect to the norm defined by (4.19) and is a multiple of a -atom satisfying
[TABLE]
[TABLE]
and
[TABLE]
This finishes the proof of (4.15).
Step 2. From (4.23) and the Alaoglu theorem (see, for example, [64, Theorem 3.17]), it follows that there exists a subsequence such that, for each and , as in the weak- topology of . Moreover, , and for any . Therefore, is a multiple of a -atom . Let , where . Then, by (4.16), (4.18) and Lemma 2.5, we have
[TABLE]
with the usual modification made when .
Step 3. By Step 2, we conclude that, to prove (4.14), it suffices to show that in .
To this end, for any , let
[TABLE]
and, for any and , . Then in as . Indeed, by (4.18) and the support conditions of and , we find that, for any ,
[TABLE]
Next we aim to prove that, for any ,
[TABLE]
Indeed, for any with , by (4.21), (4.22) and (4.23), we know that is a -atom multiplied by a constant. From this, [10, p. 19, Theorem 4.2], (4.18), (4.16) and Lemma 2.5, we deduce that, as ,
[TABLE]
Let , and, for any ,
[TABLE]
Then, by (4.21), (4.22) and (4.23) again, we find that is a -atom multiplied by a constant. Therefore, by [10, p. 19, Theorem 4.2], (4.18), (4.16) and Lemma 2.5 again, we conclude that
[TABLE]
as . Similarly, for any , we have
[TABLE]
as . This, combined with (4.25) and (4.26), implies that (4.24) holds true.
By an argument similar to that used in the proof of (4.24), we know that in as . From this, (4.24) and a proof similar to that used in [50, pp. 1682-1683], we further deduce that
[TABLE]
which completes the proof of (4.14). This shows and hence finishes the proof of Theorem 4.8. ∎
5 Lusin area function characterizations of
In this section, using the atomic characterization of obtained in Theorem 4.8, we establish the Lusin area function characterization of in Theorem 5.2. To this end, we first recall the notion of the anisotropic Lusin area function (see [48, 50]).
Definition 5.1**.**
Let satisfy for any multi-index with , where and is as in (2.4). Then, for any , the anisotropic Lusin area function is defined by setting, for any ,
[TABLE]
Recall also that a distribution is said to vanish weakly at infinity if, for each , in as . Denote by the set of all vanishing weakly at infinity.
The main result of this section is the following Theorem 5.2.
Theorem 5.2**.**
Let and . Then if and only if and . Moreover, there exists a positive constant such that, for any ,
[TABLE]
To prove Theorem 5.2, we need several technical lemmas. First, by an argument similar to that used in the proof of [78, Lemma 6.5], it is easy to see that the following lemma holds true, the details being omitted.
Lemma 5.3**.**
Let and . Then .
Via borrowing some ideas from [85, Lemma 2.6] and [54, Lemma 2.2], we obtain the following result, which is an anisotropic version of [85, Lemma 2.6].
Lemma 5.4**.**
Let and . Then there exists a positive constant such that, for all subsets , of with ,
[TABLE]
Proof.
In view of similarity, we only show that
[TABLE]
To this end, for any , let
[TABLE]
If , then, by (2.6) and , we know that, for any and ,
[TABLE]
which, combined with
[TABLE]
implies that
[TABLE]
By this, we conclude that, for any ,
[TABLE]
If , let be a partition of such that, for any , , and, when , , where, for any , . Then, by [42, Theorem 2.4] and (5.2), we find that, for any ,
[TABLE]
where is as in (2.7). From this, it follows that
[TABLE]
If , then, from (5.2) and (5.4), we deduce that
[TABLE]
Combining (5.3), (5.5) and (5.6), we obtain (5.1). This finishes the proof of Lemma 5.4. ∎
The following lemma is just [13, Lemma 2.3], which is a slight modification of [18, Theorem 11].
Lemma 5.5**.**
Let be a dilation. Then there exists a collection
[TABLE]
of open subsets, where is certain index set, such that
- (i)
for any , and, when , ; 2. (ii)
for any with , either or ; 3. (iii)
for each and each , there exists a unique such that ; 4. (iv)
there exist some negative integer and positive integer such that, for any with and , there exists satisfying that, for any ,
[TABLE]
In what follows, we call from Lemma 5.5 dyadic cubes and the level, denoted by , of the dyadic cube with and .
Remark 5.6**.**
In the definition of -atoms (see Definition 4.1), if we replace dilated balls by dyadic cubes, then, from Lemma 5.5, we deduce that the corresponding anisotropic variable atomic Hardy-Lorentz space coincides with the original one (see Definition 4.2) in the sense of equivalent quasi-norms.
The following Calderón reproducing formula is just [13, Proposition 2.14].
Lemma 5.7**.**
Let and be a dilation. Then there exist such that
- (i)
* for any with for any , where and are positive constants;* 2. (ii)
* is compact and bounded away from the origin;* 3. (iii)
* for any , where denotes the adjoint matrix of .*
Moreover, for any in .
Now we prove Theorem 5.2.
Proof of Theorem 5.2.
We first show the necessity of this theorem. Let . It follows from Lemma 5.3 that . On the other hand, for any , due to Theorem 4.8 and Remark 5.6, we can decompose as follows
[TABLE]
where and are as in Theorem 4.8 satisfying (4.2). Let be as in Lemma 5.5 and . Then we have
[TABLE]
where and are as in Lemma 5.5.
Obviously,
[TABLE]
For , by [13, Theorem 3.2], Lemma 4.5, Remark 4.4(i) and a proof similar to that of (4.7), we conclude that
[TABLE]
To deal with , assume that is a -atom supported on a dyadic cube . For any , let
[TABLE]
Then, by Lemma 5.5(iv), we know that, for any , there exists some such that . For this , choose lager enough such that
[TABLE]
with as in (4.9). By this and an argument similar to that used in the proof [51, (3.3)], we find that
[TABLE]
From this and the size condition of , we deduce that
[TABLE]
By (5.10), similarly to (4.10), we conclude that
[TABLE]
which, together with (5.8) and (5.9), further implies that
[TABLE]
For and , from (5.10) and a proof similar to those of (4.12) and (4.13), it follows that
[TABLE]
Combining (5.7), (5.11) and (5.12), we obtain
[TABLE]
with the usual modification made when , which implies that and
[TABLE]
This shows the necessity of Theorem 5.2.
Next we prove the sufficiency of Theorem 5.2. Let and . Then we need to prove that and
[TABLE]
To this end, for any , let and
[TABLE]
Clearly, for each , there exists a unique such that . Let be the set of all maximal dyadic cubes in , namely, there exists no such that for any .
Let , be as in Lemma 5.5 and, for any ,
[TABLE]
Then are mutually disjoint and
[TABLE]
Obviously, are mutually disjoint by Lemma 5.5(ii).
Let and be as in Lemma 5.7. Then, by Lemma 5.7, the properties of the tempered distributions (see [37, Theorem 2.3.20] or [70, Theorem 3.13]) and (5.14), we find that, for any with and ,
[TABLE]
in , where is the counting measure on , namely, for any set , if has only finite elements, or else . Moreover, by an argument similar to that used in the proofs of [51, (3.24), (3.29) and (3.30)], it is easy to see that there exists some such that, for any , , and as in Definition 4.1,
[TABLE]
[TABLE]
and
[TABLE]
namely, is a -atom multiplied by a constant.
For any and , let and , where is a positive constant as in (5.16). Then we obtain
[TABLE]
By (5.15) and (5.17), we know that and also has the vanishing moments up to . From (5.16) and Lemma 5.5(iv), it follows that . Therefore, is a -atom for any and . Moreover, by Theorem 4.8, the mutual disjointness of , Lemma 5.5(iv) again, , Lemmas 5.4 and 2.5, we conclude that
[TABLE]
with the usual modification made when , which implies that and
[TABLE]
This finishes the proof of (5.13) and hence Theorem 5.2. ∎
6 Real interpolation
As another application of the atomic characterization of , in this section, we obtain a real interpolation result between and . Moreover, using this result, together with [84, Corollary 4.20] and [44, Remark 4.2(ii)], we then show that the anisotropic variable Hardy-Lorentz space with coincides with the variable Lorentz space .
To state the main result of this section, we first recall some basic notions about the real interpolation (see [9]). Assume that is a compatible couple of quasi-normed spaces, namely, and are two quasi-normed linear spaces which are continuously embedded in some larger topological vector space. Let
[TABLE]
For any , the Peetre -functional on is defined by setting, for any ,
[TABLE]
Moreover, for any and , the real interpolation space is defined as
[TABLE]
Definition 6.1**.**
Let and , where is as in (2.5). The anisotropic variable Hardy space, denoted by , is defined by setting
[TABLE]
and, for any , let .
The main result of this section is stated as follows.
Theorem 6.2**.**
Let , and . Then it holds true that
[TABLE]
where .
As a consequence of Theorem 6.2, [84, Corollary 4.20] and [44, Remark 4.2(ii)], we immediately obtain the following conclusion, the details being omitted.
Corollary 6.3**.**
Let . If and , then with equivalent quasi-norm.
Remark 6.4**.**
- (i)
When , Theorem 6.2 goes back to [50, Lemma 6.3], which states that, for any and ,
[TABLE] 2. (ii)
When , Theorem 6.2 coincides with [50, Remark 6.7] (see also [62, Theorem 7]), namely, for any and ,
[TABLE] 3. (iii)
Let for some with . Then and in (i) of this remark become the classical isotropic Hardy and Hardy-Lorentz spaces, respectively. In this case, the result in (i) of this remark is just [33, Theorem 1]. In addition, and in Theorem 6.2 become the classical isotropic variable Hardy and Hardy-Lorentz spaces, respectively. In this case, Theorem 6.2 includes the result in [86, Theorem 1.5] as a special case and Theorem 6.2 with coincides with [44, Remark 4.2(ii)].
To prove Theorem 6.2, we need the following technical lemma, which decomposes any distribution from the anisotropic variable Hardy-Lorentz space into “good” and “bad” parts and plays a key role in the proof of Theorem 6.2.
Lemma 6.5**.**
Let , , and be as in Theorem 6.2. Then, for any and , there exist and such that in , and
[TABLE]
where, for any with as in (2.5), is as in (2.10), and are two positive constants independent of and .
Proof.
Let all the notation be the same as those used in the proof of Theorem 4.8. For any , and , let
[TABLE]
Then, for any , by an argument similar to that used in the proof of (4.14), we have
[TABLE]
where, for any and , is a -atom multiplied by a constant and satisfies that
[TABLE]
[TABLE]
and
[TABLE]
By the finite intersection property of for each (see (4.18)), (6.2) and (6.3), we conclude that, for any ,
[TABLE]
On the other hand, for any and , let , where
[TABLE]
Then, by this, (6.2), (6.3) and (6.4), we know that, for any and , is a -atom. Therefore, by the finite intersection property of for each again and the fact that (see (4.16)), we find that
[TABLE]
Moreover, from Remark 2.3(i) and Lemma 2.5, it follows that
[TABLE]
Observe that is an RD-space (see [39, 83]). From this, [84, Theorem 4.3(i)], (6.5) and (6.6), we further deduce that
[TABLE]
This finishes the proof of Lemma 6.5. ∎
Now we prove Theorem 6.2.
Proof of Theorem 6.2.
We first prove that
[TABLE]
To this end, let . Then, by Lemma 6.5, we know that, for any , there exist and such that in , and satisfies (6.1). By this and a proof similar to that of [86, (3.3)], we find that, for any ,
[TABLE]
where, for any ,
[TABLE]
and, for any ,
[TABLE]
On the other hand, by (6.8), it is easy to see that, for any and ,
[TABLE]
where is a positive constant independent of . Next we estimate by considering two cases.
Case 1. . For this case, by the well-known inequality that, for any and ,
[TABLE]
we obtain
[TABLE]
Case 2. . For this case, let . Then, from the Hölder inequality, it follows that, for any ,
[TABLE]
Combining (6.9), (6.10) and (6.11), we conclude that
[TABLE]
with the usual modification made when , which implies that
[TABLE]
and hence completes the proof of (6.7).
Conversely, we need to show that
[TABLE]
To this end, we claim that is bounded from the space to the space . Indeed, let . Then, by definition, we know that there exist and such that
[TABLE]
On the other hand, since is bounded from to and also from to , it follows that and . For any , let
[TABLE]
Then . Thus, we have
[TABLE]
which, combined with (6.13), further implies that
[TABLE]
with the usual modification made when . Therefore, the above claim holds true.
By this claim and [44, Remark 4.2(ii)], we find that, if , then belongs to , namely, . Thus, (6.12) holds true. This finishes the proof of Theorem 6.2. ∎
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