1. Introduction
In 1972, Muckenhoupt [
1] introduced the theory of
weights with respect to the Lebesgue measure and established the boundedness of the Hardy–Littlewood maximal operator on weighted Lebesgue spaces
. This pioneering work laid the foundation for modern weighted theory in harmonic analysis. In recent decades, weighted theories on
(with the Lebesgue measure) and on spaces of homogeneous type have driven research into weighted theory on diverse measure spaces; see [
2,
3,
4,
5] and the references therein.
Morrey spaces were originally introduced by Morrey [
6] in 1938 while studying the existence and differentiability of solutions to certain linear elliptic PDEs. Subsequently, significant attention has been devoted to the
weighted theory on Morrey spaces with respect to various measures. In 2009, Komori and Shirai [
7] investigated
weights on Morrey spaces with respect to the Lebesgue measure; see [
5,
8,
9,
10,
11,
12,
13,
14] for related work. Later, in 2017, Kokilashvili and Meskhi [
15] extended this study to weighted Morrey spaces of homogeneous type; see [
16,
17,
18] for further work on homogeneous spaces.
In 1982, the classical extrapolation theory was first introduced by Rubio de Francia [
19,
20]. In 2023, Cao, Marín, and Martell [
21] extended this extrapolation theory to the context of Banach spaces and modular spaces. For further references, see [
4,
5,
22,
23,
24,
25].
In 2019, Karagulyan [
26] introduced the abstract Lebesgue space with a ball basis, and established a class of
operators. Karagulyan proved that, in the sense of the Lebesgue measure,
operators include maximal operators, Carleson operators and martingale transforms, and also demonstrated the fact that classical Calderón–Zygmund operators of homogeneous spaces are
operators, and established a weighted norm inequality for
operators on abstract measure spaces.
In 2026, Shan, Xue, and Zhou [
27] established abstract Morrey spaces and obtained norm estimates for a class of
operators. These advances underscore the importance of
operators as a unified framework that can encompass a broader class of classical operators and establish a unified sparse domination method in abstract Morrey spaces. For further results on abstract function measure spaces, see [
26,
28,
29,
30,
31].
With the deepening investigation of abstract function space theory and building upon the above research findings, this paper naturally turns to abstract weighted Morrey spaces. The specific motivations are as follows:
Komori and Shirai [
7] established weighted Morrey spaces on the Lebesgue measure, extending the related theory of Morrey spaces. Relevant results regarding weighted homogeneous Morrey spaces are provided by [
15,
32]. Thus, we intend to develop a new type of weighted Morrey space, which encompass the aforementioned spaces as special cases, thereby extending the classical theory.
Shan, Xue, and Zhou [
27] established abstract Morrey spaces with the ball basis, while Karagulyan [
26] developed weighted norm inequalities and
operators in the abstract
setting. By combining these two frameworks, this paper constructs abstract weighted Morrey spaces; this synthesis introduces the Morrey parameter
and the weight class
, which bring new challenges not present in either precursor.
This paper establishes the theory of abstract weighted Morrey spaces associated with a ball basis and investigates their dual spaces, extrapolation properties, and weighted norm inequalities for operators, with the following principal contributions:
We present the first systematic treatment of abstract weighted Morrey spaces built upon a ball basis. The resulting framework encompasses various classical spaces—including Morrey spaces on the Lebesgue measure and spaces of homogeneous type on the Lebesgue measure—and therefore possesses a high degree of generality. As a central structural result, we identify their predual as a weighted block space. We further establish an extrapolation theorem for these weighted Morrey spaces, which unifies and extends the classical Rubio de Francia method to the Morrey-type setting.
We establish norm estimates for operators on abstract weighted Morrey spaces. Moreover, we verify that on classical weighted Morrey spaces, the maximal operator, Littlewood–Paley square operator, and Carleson operator are all operators, and that Calderón–Zygmund operators are operators on weighted homogeneous Morrey spaces.
In conclusion, the organization of this paper is as follows: In
Section 2, we present the necessary definitions and fundamental properties required for our main results. Specifically, we introduce the definitions of ball basis, Muckenhoupt weights, and establish abstract weighted Morrey spaces along with their predual spaces.
Section 3 discusses the boundedness of the Hardy–Littlewood maximal operator on abstract weighted Morrey spaces with ball basis and weighted block spaces, and proves that the predual space of weighted Morrey spaces are precisely the weighted block space.
Section 4 is devoted to developing extrapolation theory on abstract weighted Morrey spaces and presenting some applications. In
Section 5, working within the framework of abstract weighted Morrey spaces with ball basis, we provide concrete examples and discuss Calderón–Zygmund operators on homogeneous spaces, Littlewood–Paley operators on
, and Carleson operators.
2. Preliminary
2.1. Ball Basis on Abstract Measure Spaces
Within the broad context of abstract spaces, Karagulyan [
26] undertakes a fundamental generalization of the traditional distance concept by replacing it with a more flexible and encompassing metric. This broader metric structure enables us to transform conventional geometric notions into a unified ball basis framework, thereby establishing a more powerful and universally applicable tool for analysis across diverse mathematical domains. We now recall the definition of the ball basis.
Definition 1 ([
30]).
Let be a measure space and is a σ-algebra on X. A collection is called a ball basis if it satisfies the following:- (B1)
is a family of balls. For every , .
- (B2)
For any two points , there exists ball containing both a and b.
- (B3)
For any and any measurable set , there exists a finite or infinite sequence , satisfying .
- (B4)
For each ball , there corresponds a ball such that where are universal constants. Moreover, if with , then
We denote by the abstract measure space endowed with a ball basis.
Example 1. Below, we give examples that imply ball basis in the classical example.
Euclidean space: In Euclidean space, the ball column , can form a ball basis, where .
Spaces of homogeneous type: In spaces of homogeneous type , ρ is a quasimetric on X. If satisfies the density condition; then, the enlarged family of balls is said to constitute a ball basis [26]. Dyadic cubes: We shall focus on the square ; the collection of its dyadic sub-cubes forms a ball basis for .
However, the example given below fails to constitute a valid ball basis.
Non-example: Let the ball be defined, for which the family of sets . This is not a ball basis for .
Remark 1 ([
26]).
(a) Given a ball , its hull is defined recursively by and . By condition , we have . Applying this inequality repeatedly yields .- (b)
Let denote a measure space and be a ball basis. For any , there holds
2.2. Muckenhoupt Weight
Let u be a measurable function on . If for , almost every x, then u, is said to be a weight function.We begin by recalling some notations, lemmas, and relevant properties concerning weights. In particular, we recall the definition of the Muckenhoupt weight classes on an abstract measure space , as these classes form an essential component of extrapolation theory.
Definition 2 ([
30]).
For , the Muckenhoupt class on a measure space with a ball basis is the collection of all weight functions such thatwhere . For the endpoint , the class consists of those weights u satisfyingWe also set . Lemma 1 ([
30]).
Let be a measure space and be a ball basis. Given that u is a weight function with , the following holds:- (1)
There exist constants such that for every and measurable set , - (2)
For each there exist a number such that, for every and measurable set ,
2.3. Abstract Weighted Lebesgue Spaces
Definition 3 ([
29]).
Given a measure space , , and . For a measurable function f, the collectionis called the abstract weighted Lebesgue spaces, whereFor convenience, we abbreviate as . Let and . From the definition of abstract weighted Lebesgue spaces and properties of weights,
- (a)
For any , .
- (b)
For any sequence of measurable functions
with
a.e.
, then
- (c)
For any
, if
a.e., then
- (d)
For any
, then
From Reference [
33], the above construction yields two lemmas.
Lemma 2 ([
33]).
Let . Then, is a Banach function space with the normwhere the dual space of is . By analogy with the above lemma, Hölder’s inequality can be obtained for abstract weighted Lebesgue spaces:
Lemma 3 ([
33]).
Consider a measure space with a ball basis . Given that are measurable functions, if , and , thenFurthermore, using properties of weighted Lebesgue spaces, we havefor some constant . That is, with respect to the abstract Lebesgue spaces, the dual space of is . 2.4. Abstract Weighted Morrey Spaces and Their Dual Spaces
The core of our work consists of introducing an abstract weighted Morrey space, defined as follows.
Definition 4. Let be a measure space and be a ball basis, , , and . For a measurable function f, the collectionis called the abstract weighted Morrey spaces, where denotes the space of locally p-integrable functions associated with the weight u, andClearly, defines a norm. For convenience, we abbreviate it as . Remark 2. In what follows, we show that the constructed space contains certain important function spaces.
- (a)
If is the Euclidean space and , then is the classical weighted Morrey space [7]. - (b)
If and with , then is the abstract Morrey space [27]. - (c)
If , with , and is the Euclidean space with , then is the classical Morrey space [6]. - (d)
If , then is the abstract weighted Lebesgue space, if , then [30]. - (e)
If and is the Euclidean space with , if , then , and if , then [34].
For the definition of block space on abstract measure spaces, see [
27]. We now present the definition of their weighted analogues. First, we give the definition of
.
Definition 5. Let be a measure space and be a ball basis, , , and . We say Lebesgue measurable function , if there exists with and We now present the definition of weighted block space on abstract measure space.
Definition 6. The weighted block space is defined byFor functions in the block space , we equip it with the norm Next, we present some properties of elements in and the weighted block space.
Proposition 1. Let be a measure space and be a ball basis, , , and . If , then .
Proof. In the decomposition
, we take
Application of the definition of weighted block space yields the result. □
The following proposition demonstrates how to construct an element in .
Proposition 2. Let be a measure space and be a ball basis, , , and . For with for some ; then, Proof. Define
, assuming
a.e.; then,
and
Therefore,
. By Proposition 1, we have
. Combining these results yields
□
Proposition 3. Let be a measure space and be a ball basis. If , and , then exactly when there exists satisfying for a.e., .
Proof. Suppose . By the properties of , there exists a sequence and a collection of elements in ; therefore, . Define . Then, we have and .
suppose
for a.e.
and
. Then, decompose
g as
, where
and
. We can then see that
then,
Since
for a.e.
,
are elements of
. This proves the property. □
3. Maximal Operator on
Here, we consider the Hardy–Littlewood maximal operator and its boundedness on and . Below, we give the definitions of the Hardy–Littlewood maximal operator and the weighted maximal operator.
Definition 7 ([
26]).
Let be a measure space and be a ball basis. For any measurable function f on the measure space , the Hardy–Littlewood maximal operator M associated with the family is defined by Definition 8 ([
26]).
Let be a measure space and be a ball basis. Suppose . Then, for every measurable function f, define the weighted maximal operator by To prove the boundedness of the M on abstract weighted Morrey spaces with ball basis, we state the following Lemma.
Lemma 4 ([
30]).
Let be a measure space with a ball basis . For , if , then there exists such that for every ,This is called the reverse Hölder inequality. Theorem 1. Let be a measure space and be a ball basis. If , and ; then, .
Proof. (I) To establish the boundedness of
M, we first prove that of
, then deduce the boundedness of the M via their relation. For any
, let
and set
. By the sublinearity of
, then
Concerning term
I, by virtue of
being bounded on abstract weighted Lebesgue spaces, it follows that
Next, we estimate
II. For each
, then
Applying Hölder’s inequality yields
Thus, we obtain
(II) Now, we prove the relationship between
M and
. Let
contain
x. By Hölder’s inequality,
By the definition of the weighted maximal operator,
hence,
Since
, there exists a constant
such that for every
,
Rearranging yields
Combining the estimates, we obtain
Since this holds for any
and
, taking the supremum gives
Lemma 4 implies that there exists
such that
. Combining (I) and (II), we have
Therefore, the proof is complete. □
The following theorem identifies the as the predual of .
Theorem 2. Let be a measure space and be a ball basis. Let , and , where . Then,where denotes the predual space of . Proof. (I) First, we prove that
. For any
, let
b be a function in
satisfing
. For any
, by Hölder’s inequality, then
Therefore, for any
. This leads to
Hence,
.
(II) Next, we prove that
. Let
. For each ball
, consider the subspace
which is closed in
. For
, define
Then, from the definition of
, it follows that
; hence,
and
Thus, the linear functional
satisfies
. According to the Hahn–Banach theorem,
extends to a bounded linear functional on the whole space
(still denoted by
) with the same norm. Since
, there exists a unique function
with
such that
In particular, for any
, we have
.
Now, we show consistency: if
and
(with
); then, for every
,
Hence,
almost everywhere on
B. Choose an increasing sequence of balls
such that
. Define
for any
k with
; the consistency property guarantees that
f is well defined and measurable. Moreover, for any fixed
, take a ball
containing
B; then,
on
B, so
and consequently,
.
In what follows, we prove that
and that
. For any
, there exists
with
. For any
and
, let
Then,
H is an element of
. Using the properties of
, we derive
, i.e.,
Since
,
Taking supremum over all
B gives
. Hence,
.
Finally, for any finite linear combination of blocks
, we have
Since such combinations are dense in
, the equality extends to all
. Therefore,
, and the map
establishes an isometric isomorphism between
and
.
Combining (I) and (II), this completes the proof of the theorem. □
In fact, from the above theorem, we can derive a corollary concerning abstract weighted Morrey spaces.
Corollary 1. Let and let u be a weight function. Define the associated weight . For a measurable function h, the following statements are equivalent:
- 1.
;
- 2.
For every g in the weighted block space , the integral is finite.
Moreover, under these equivalent conditions, the norm of h in admits the dual representation Before we show that the maximal operator remains bounded on , we first introduce a definition.
Definition 9. Let be a measure space and be a ball basis, and let , . We define as the collection of all functions u satisfies: there exists such that for every , Remark 3. The collection defined in Definition 9 is non-empty and non-trivial. For instance, consider the constant weight function on . Since , the associated weight is also identically 1
. It follows that for any , and . Substituting these into the series in Definition 9, we obtainLet . According to the property derived from condition , we have with ; then,This demonstrates that for a wide range of parameters, ensuring that the function spaces are well defined and contain non-trivial weights. Theorem 3. Let be a measure space and be a ball basis. Suppose , , and , . Then, M is bounded on .
Proof. (I) Let
, with
, where
. For any
, let
Then,
and
. For
, by the boundedness of the maximal operator, we have
for some
. Therefore, there exists
and
such that
. Following this, by Hölder’s inequality,
We define
. Then, there exists a constant
such that
Then, by the properties of
, we know that
and
. Since
, it follows from Definition 9 that
Therefore,
for some
independent of
h.
(II) Now, we consider an arbitrary
. We may write
, where
and
. Let
and
be defined as in part (I), with
h replaced by
. Then,
. By the sublinearity of
M, we have
Since
it follows that
. Let
Clearly,
where
. Since
, we have
and
. Therefore,
Combining (I) and (II), we verify the boundedness of M on . □
4. Extrapolation on Abstract Weighted Morrey Spaces
In this section, we extend the extrapolation theory to weighted abstract Morrey spaces. The boundedness of the maximal operator M on the is crucial; it guarantees that the series defining converges. The class consists of those functions u for which M is bounded on ; this property ensures the iteration is well defined and the resulting operator has the desired property.
Definition 10. Let be a measure space and be a ball basis. Suppose that , , , and . Define . For a locally integrable function h on X, setwhere is the identity operator, denotes the t-th iteration of M, and represents the operator norm of M on . Proposition 4. Under the assumptions of Definition 10, the operator is well defined on and satisfies
- 1.
for almost every x;
- 2.
;
- 3.
is an weight with , i.e.,
Proof. Because
, the maximal operator
M is bounded on
with norm
. Hence, for any
h in this block space, the series defining
converges in norm and pointwise almost everywhere; moreover,
Clearly,
, because the term
equals
h. Moreover, since
M is a sublinear operator, for any
, then
Therefore,
and the last inequality holds. □
Following the approach established in [
25], we now prove an extrapolation theorem for abstract weighted Morrey spaces on abstract measure spaces. The idea is as follows: assume that for every
weight
of the form
, we have a weighted
estimate for a family
of function pairs. Then, by duality between the weighted Morrey spaces
and the block space
, we can “lift” the
estimate to the full Morrey norm.
Theorem 4. Let be a measure space and be a ball basis. , , and , . Given an extrapolation family such that for every , and ; then,where is a constant independent of f and g. Then, for every with ; then, Proof. Let
satisfy that
f is measurable and
. For any
satisfying
, define
. Then, by the mapping properties of
, there exists a constant
such that
Furthermore, since
the predual property yields, for some
,
This completes the proof of the theorem. □
5. Applications
Definition 11 ([
33]).
Let be the set of measurable functions. Suppose is a suitable linear subspace of . is an operator. is called a sublinear operator if it satisfies the following properties for all and all scalars : A sublinear operator is said to be linearizable if there exist a Banach space and a linear operator taking values in such that .
Definition 12 ([
30]).
Let be a measure space and be a ball basis. Given Banach spaces and , suppose that there exist linear operators taking values in such that for each , , or in the case , is a real-valued linear or sublinear operator, satisfying for all :(BI)
For any with , there exists with such that(BII)
For any .Then, the operator is called an -valued operator. When , that is, is a real-valued operator, we omit -valued and the . Here,In the case , the subscripts r are omitted, i.e., and . In what follows, we prove that the maximal operator is a operator.
Theorem 5. Let be a measure space and be a ball basis. Then, the M is a operator.
Proof. To prove that M is a operator, it suffices to verify conditions (BI) and (BII) for the case .
(I) First, we show that condition (BI) holds. For fix ball
, consider two points
and a non-zero function
. Then, by definition of the maximal operator, we have
for some ball
containing
x.
If
, then by the relation between two balls, we have
, and hence,
Combining the two inequalities above gives
If
, then we have
and
, so that
In either case, for all
,
Consequently,
Thus, condition (BI) is satisfied.
(II) In the following, we verify that condition (BII) holds. Fix a ball
. Define
Take a ball
such that
and set
. By condition
, we have
Given any
, any
, and any
, there exists a ball
containing
x such that
If
, then
and consequently,
If
, the fact that
implies
; hence,
. Using
and condition
, we obtain
which yields
Since the choice of
B was arbitrary, condition (BII) follows. □
Lemma 5 ([
33]).
Let be a measure space and be a ball basis. Assume . If an -valued linear bounded oscillation operator with respect to satisfies the estimate , then for every and every , Using the Lemma 5 and Theorem 4, we obtain the following boundedness result for -valued bounded oscillation operators.
Theorem 6. Let be a measure space and be a ball basis, , and , . Suppose for any is an -valued linear operator that is bounded from to ; then, is bounded on . Specifically, there exists a constant such that for all , Proof. For any
and
satisfying
, by the properties of
and Corollary 1, we have
Consequently, we obtain the embedding
. Let
. For any
because
is bounded from
to
, by Lemma 5, we obtain
Combining this with Theorem 4 yields
□
Below, we provide examples of some classical operators commonly encountered in analysis, all of which are important instances of bounded oscillation operators.
5.1. Calderón–Zygmund Operators
In this subsection, we discuss the fact that Calderón–Zygmund operators are bounded oscillation operators. Since this result was established in the context of spaces of homogeneous type, we first recall their definition.
Definition 13 ([
26]).
A function ρ on a set X is called quasimetric
if satisfiesPositive definiteness: , and if and only if ;
Symmetry: ;
Quasi-triangle inequality: Exists a constant such that
Let be a measure space equipped with metric ρ. For any and any radius , define a ρ-ball aswhere a and r are called the center and radius of the ball, respectively. Denote . The collection of all such balls is denoted byFor any , we define the scaled ball . From the ball family , we define the extended ball family as follows:
If , then ;
If , then .
A measure space
satisfies the
doubling condition if for every
, there exists a constant
such that
Remark 4. For any , we haveFrom for all , it follows thatwhere denotes the ceiling function, and can be written as . Definition 14 ([
26]).
Let be a measure space and ρ be a quasimetric on X. Then, is a space of homogeneous type, if μ is a doubling measure with a respect to ρ. For the properties of the ball families
and
defined above, one may refer to [
26].
Lemma 6. Let be a space of homogeneous type. Assume satisfies the density condition. Then, is a ball basis with the following doubling property: for each , one can find satisfying .
Definition 15 ([
26]).
Let be a space of homogeneous type with ball basis . An operator T is called a Calderón–Zygmund operator if(1) There exists a kernel K such that for any ball , whenever , we have (2) T is a bounded linear operator from to .
(3) The kernel satisfies the following estimates (for any ): It is known that the above Calderón–Zygmund operators are bounded on weighted Morrey spaces over spaces of homogeneous type [
35,
36]. By showing that these Calderón–Zygmund operators coincide with
operators under an abstract measure, we obtain the weighted boundedness of Calderón–Zygmund operators on Morrey spaces based on spaces of homogeneous type.
Lemma 7 ([
26]).
Let be a space of homogeneous type with ball basis . If , , and , then T is a operator. Theorem 7. Let be a space of homogeneous type with ball basis , , , and . If , then T is bounded on the homogeneous weighted Morrey spaces, i.e., there exists a constant such that Proof. By Theorem 6 and Lemma 7, the conclusion follows at once. □
5.2. Littlewood–Paley Square Operators
Let the parameter
. For any
, define the cone
where
is a fixed constant, and
.
Definition 16 ([
30]).
Define the Littlewood–Paley square operators:where Lemma 8 ([
30]).
If , , , then for any , when is a Littlewood–Paley square operator, is a -valued (as defined in (p. 3659, [30])) bounded oscillation operator. Theorem 8. If , , , and , then for any , the Littlewood–Paley square operator is bounded on the homogeneous , i.e., there exists constant such that Proof. The conclusion follows by applying Theorem 6 and Lemma 8. □
5.3. Carleson Operators
Definition 17 ([
30]).
Consider as a family of -valued linear operators on a measure space . Define the Carleson operator by Lemma 9 ([
26]).
Let be a measure space with ball basis . If , , and , and if the set of operators satisfiesthen is a operator. Theorem 9. Let be a measure space with ball basis , , , and . Then, the is bounded on the abstract weighted Morrey spaces: Proof. The statement follows at once from Theorem 6 together with Lemma 9. □