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Abstract
Asmar et al. [Note on norm convergence in the space of weak type multipliers. J Operator Theory. 1998;39(1):139–149] proved that the space of weak-type Fourier multipliers acting from into
is continuously embedded into
. We obtain a sharper result in the setting of abstract Lorentz spaces
with
built upon a Banach function space X on
. We consider a source space
and a target space
in the class of admissible spaces
. Let
denote the space of Fourier multipliers acting from
to
. We show that if the space X satisfies the weak doubling property, then the space
is continuously embedded into
for every
. This implies that
is a quasi-Banach space for all choices of source and target spaces
.
1. Introduction
Let S and denote the Schwartz spaces of rapidly decaying functions and of tempered distributions on
, respectively. The action of a distribution
on a function
is denoted by
. A Fourier multiplier on
with symbol
is defined as the operator
(1)
(1)
where
is the Fourier transform of
,
denotes the inverse Fourier transform, and
denotes the scalar product of
. We observe that since
and
, the function Fu belongs to the space S and aFu is a tempered distribution. Thus
is well defined and it belongs to
. In fact, we have
, and therefore,
(see, e.g. [Citation1, Theorem 2.3.20]), where
denotes the set of all infinitely differentiable functions
such that for every
there exist
and
satisfying
for all
. Thus, if
and
, then
is a regular tempered distribution, whose action on
is evaluated as follows:
The aim of this paper is to study the Fourier multiplier operator (Equation1
(1)
(1) ) as an operator acting from a source space
to a target space
, where
belong to the class of admissible spaces
consisting of a given Banach function space X on
and all abstract Lorentz spaces
,
, built upon X. Our paper is inspired by the work by Asmar et al. [Citation2], where the operator (Equation1
(1)
(1) ) was considered as acting from the Lebesgue space
,
, to the Marcinkiewicz space
over a locally compact abelian group G. It is closely related to our recent work [Citation3], where we treated the operator (Equation1
(1)
(1) ) as acting from a Banach function space X on
into itself. To formulate our results, we need several definitions.
Let denote the set of all Lebesgue measurable extended complex-valued functions on
, that is, the functions of the form
, where
and
are Lebesgue measurable extended real-valued functions (see, e.g. [Citation4, Definition 16.1]). Let
be the subset of functions in
whose values lie in
. The characteristic function of a measurable set
is denoted by
and the Lebesgue measure of E is denoted by
. Following [Citation5, p. 3] (see also [Citation6, Chap. 1, Definition 1.1]), a mapping
is called a Banach function norm if, for all functions
(
) in
, for all constants
, and for all measurable subsets E of
, the following properties hold:
with
that may depend on E and ρ but is independent of f. When functions differing only on a set of measure zero are identified, the set X of all functions
for which
becomes a Banach space under the norm
and under the natural linear space operations (see [Citation5, Chap. 1, § 1, Theorem 1] or [Citation6, Chap. 1, Theorems 1.4 and 1.6]). It is called a Banach function space. The class of Banach function spaces is very large. It includes, for example, classical Lebesgue spaces
,
[Citation6, p. 3], Orlicz spaces
[Citation6, Chap. 4, Theorem 8.9], variable Lebesgue spaces
[Citation7, Section 2.10.3].
We note that our definition of a Banach function space is slightly different from that found in [Citation6, Chap. 1, Definition 1.1]. In particular, in Axioms (A4) and (A5), we assume that E is a bounded set, whereas it is sometimes assumed that E merely satisfies . We do this so that the weighted Lebesgue spaces with Muckenhoupt weights satisfy Axioms (A4) and (A5). Moreover, it is well known that all main elements of the general theory of Banach function spaces work with (A4) and (A5) stated for bounded sets [Citation5] (see also the discussion at the beginning of Chapter 1 on page 2 of [Citation6]). Unfortunately, we overlooked that the definition of a Banach function space in our previous work [Citation3] had to be changed by replacing in Axioms (A4) and (A5) the requirement of
by the requirement that E is a bounded set to include weighted Lebesgue spaces in our considerations. However, the results proved in the above paper remain true.
Let (resp.,
) denote the set of all a.e. finite functions in
(resp., in
). For
, the classical Lorentz space
consists of all functions
such that the quantity
(2)
(2)
is finite, where
denotes the non-increasing rearrangement of f (see, e.g. [Citation6, Chap. 2, Section 1] or [Citation1, Section 1.4.1]). Note that if
, then
is a Banach function space with respect to the Banach function norm
. On the other hand,
for
.
For and
, let
The quantity
for
can also be written as
(3)
(3)
(see, e.g. [Citation1, Proposition 1.4.9] or [Citation8, Theorem 6.6]).
Bearing in mind formula (Equation3(3)
(3) ), for a given Banach function space X on
and
, we define the abstract Lorentz space
built upon X as the set of all functions
such that
(4)
(4)
is finite. The normalising factor
in the above definition is taken different from
in (Equation3
(3)
(3) ) to guarantee that for every bounded measurable set
, one has
for
(see Lemma 2.4 below).
It follows from (Equation3(3)
(3) )–(Equation4
(4)
(4) ) that for
and
, one has
and
Further,
and
. Finally,
whenever
.
The abstract Lorentz space built upon a rearrangement-invariant Banach function space X is considered, e.g. in [Citation6, Chap. 2, Section 5] (see Definition 5.12 there and Appendix below). For variable Lebesgue spaces
, the spaces
were introduced by Kempka and Vybíral in [Citation9, Definition 2.2]. For an arbitrary Banach function space X, the space
was considered by Ho in [Citation10, Section 2].
We collect basic properties of abstract Lorentz spaces ,
, built upon a Banach function space X in the following statement.
Theorem 1.1.
Let X be a Banach function space on .
(a) | If | ||||
(b) | If | ||||
(c) | If | ||||
(d) | If |
Part (a) and part (d) for were proved in [Citation10, Theorem 2.7]. Other statements will be proved in Section 2.
For a given Banach function space X on , denote by
the collection of admissible spaces. Suppose that a source space
and a target space
belong to the collection
. We say that a distribution
belongs to the set
of Fourier multipliers from
to
if
A function
is said to belong to the set
of Fourier multipliers from
to
if
Here,
are understood as mappings on
. Since
, it is clear that
(5)
(5)
and
(6)
(6)
Since
is a quasi-norm, it is not difficult to see that the sets
and
are quasi-normed linear spaces with respect to the quasi-norms
and
, respectively.
The quasi-normed space for
and a locally compact abelian group G was studied in [Citation2], where it was shown that it is continuously embedded into
, where Γ is the dual group of G. As a consequence of this continuous embedding, it was shown there that
is a quasi-Banach space.
For and R>0, let
be the open ball of radius R centred at y. Following [Citation3, Definition 1.2], we say that a Banach function space X on
satisfies the weak doubling property if there exists a number
such that
This condition is satisfied, for instance, if X is translation-invariant [Citation3, Corollary 3.5]. Another sufficient condition for the weak doubling property can be stated in terms of the Hardy-Littlewood maximal operator given for
by
where the supremum is taken over all cubes with sides parallel to the coordinate axes that contain x. If M is bounded from X to
, then X satisfies the weak doubling property. This fact follows from the combination of [Citation3, Lemma 3.3] and [Citation10, Lemma 2.9]. For further discussion of the weak doubling property, see [Citation3, Sections 3.2 and 3.5].
For , we will say that a function
belongs to the space
if
Let
Theorem 1.2
Main result
Let X be a Banach function space satisfying the weak doubling property and . If
, then
(7)
(7)
The constant 1 on the right-hand side of inequality (Equation7
(7)
(7) ) is best possible.
Since for
, Theorem 1.2 and inequality (Equation6
(6)
(6) ) imply the following generalisation and refinement of [Citation2, Theorem 1.1] for
.
Corollary 1.3.
Let X be a Banach function space satisfying the weak doubling property and . If
, then
(8)
(8)
The constant 1 on the right-hand side of inequality (Equation8
(8)
(8) ) is best possible.
Inequality (Equation8(8)
(8) ) and Theorem 1.1(c) imply the following.
Corollary 1.4.
Let X be a Banach function space satisfying the weak doubling property. Suppose that . Then
and
are quasi-Banach spaces with respect to the quasi-norms
and
, respectively. Moreover,
and
are Banach spaces with respect to the norms
and
, respectively.
The paper is organized as follows. In Section 2, we collect basic properties of abstract Lorentz spaces built upon Banach function spaces and prove Theorem 1.1. In Section 3, we recall some auxiliary results proved in our recent paper [Citation3] and then prove Theorem 1.2 and Corollary 1.4. We conclude the paper stating two open problems in Section 4. In Appendix, we provide a formula for the quasi-norm in the case of a rearrangement-invariant Banach function space X in terms of the non-increasing rearrangement
, which generalises (Equation2
(2)
(2) ).
It is our pleasure to dedicate this paper to Professor Vladimir Rabinovich on his eightieth birthday.
2. Abstract Lorentz spaces built upon Banach function spaces
2.1. Inclusion ![](//:0)
![](//:0)
Lemma 2.1.
Let X be a Banach function space and . If
, then
.
Proof.
If , then there exists a measurable set
of positive measure such that
for a.e.
. For every
, one has
. Hence
Since
, the right-hand side is infinite, which completes the proof.
2.2. Proof of Theorem 1.1(a),(b)
Since for all
, one has
, which completes the proof of part (a).
Suppose now that . For
, one has
and hence
To proceed further, we need the notion of the associate space
of the Banach function space X defined by a Banach function norm ρ. Its associate norm
is defined on
by
It is a Banach function norm itself (see [Citation5, Chap. 1, § 1] or [Citation6, Chap. 1, Theorem 2.2]). The Banach function space
determined by the Banach function norm
is called the associate space (Köthe dual) of X. The space
is defined similarly.
It follows from the Lorentz-Luxemburg theorem (see [Citation5, Chap. 1, Theorem 4] or [Citation6, Chap. 1, Theorem 2.9]) and Tonelli's theorem (see, e.g. [Citation11, Theorem 5.28]) that
which completes the proof of part (b).
2.3. Proof of Theorem 1.1(c)
The proof is almost identical to that of [Citation6, Chap. 4, Proposition 4.2]. Since is a non-increasing function of λ, one has
Taking the supremum over all
, one obtains
(9)
(9)
If
, then using (Equation9
(9)
(9) ) with q in place of r, one gets
which completes the proof.
2.4. Quasi-triangle inequality
The quasi-triangle inequality for with the constant 2 can be found in the proof of [Citation10, Theorem 2.7]. We will need a slightly stronger version of this inequality for
, which is also true for
with
.
Lemma 2.2.
Let X be a Banach function space, , and let
. Then for every
and every
, one has
Proof.
For and
, we have
Therefore,
This inequality and Lemma 2.1 imply that
as well as
Using the Minkowski inequality for
and the subadditivity of the concave function
for
and
, we further get
which completes the proof.
2.5. Fatou's lemma
We will need Fatou's lemma for abstract Lorentz spaces ,
, built upon a Banach function space X.
Lemma 2.3.
Let X be a Banach function space and . If
a.e. as
and
, then
and
Proof.
For , this lemma is proved in [Citation10, Lemma 2.5]. Although for
the proof is analogous, we provide details here for the reader's convenience. Write
. Then
for all
and
a.e. as
. Therefore,
a.e. as
for every
. By the Fatou property of X (Axiom (A3)),
Then
Integrating this inequality over
and applying the classical Fatou lemma (see, e.g. [Citation12, Lemma 1.7]), we get
(10)
(10)
But f is certainly measurable (being the pointwise limit of a sequence of measurable functions), so (Equation10
(10)
(10) ) shows that f belongs to
, which completes the proof.
2.6. Proof of Theorem 1.1(d)
For , the proof is given in [Citation10, Theorem 2.7]. For
the proof is similar. Since the proof of completeness of
in [Citation10] contains a minor inaccuracy, we provide details for the reader's convenience. It follows immediately from the definition of the quantity
that (i)
if and only if f = 0 a.e.; (ii) for every
,
and
, one has
. Therefore, making the change of variables
, we get
(iii) The quasi-triangle inequality for
follows from Lemma 2.2 with
. Thus
is a quasi-normed space.
If a.e., then for all
one has
. By Axiom (A2) for the space X, one gets
, whence
Integrating this inequality over
, we easily get
.
It remains to show that the quasi-normed space is complete with respect to the quasi-norm
. Let
be a Cauchy sequence in
. It follows from Theorem 1.1(c) that
is a Cauchy sequence in
as well.
For every , let
. Axiom (A5) implies that for every
, there exists
such that for all
and all
,
Since
is a Cauchy sequence in
, it follows from the above inequality and the definition of quasi-norm in
that
as
for each
and
. Thus the sequence
is locally Cauchy in measure. It follows from [Citation13, Proposition 1.2.2(ii)] that there exists a function
and a subsequence
such that
a.e. as
.
Since is a quasi-norm, by the Aoki-Rolewicz theorem (see, e.g. [Citation14, Theorem 1.3]), there exists p>0 such that for any
, one has
This inequality implies that for all
,
Therefore,
is a Cauchy sequence in
. Hence, the limit
exists and it is finite. Since
a.e. as
, in view of Lemma 2.3, we conclude that
.
Fix . Since
is a Cauchy sequence in
, there exists
such that for all j, m>N, one has
. We have
a.e. as
for all m>N. By Lemma 2.3, for m>N,
that is,
in
as
. Thus, the quasi-normed space
is complete with respect to the quasi-norm
.
2.7. Quasi-norms of characteristic functions of bounded measurable sets
We observe that the quasi-norms of the characteristic function of a bounded measurable set in for all
coincide with its norm in X.
Lemma 2.4.
Let X be a Banach function space and . For a bounded measurable set
, one has
and
Proof.
The proof for can be found in [Citation10, Lemma 2.6]. The proof for
is quite similar. We include the details here for the reader's convenience. Since
one has
Hence
which completes the proof.
3. Proofs of the main results
3.1. Lemma on approximation at Lebesgue points
Given and a function ψ on
, we define the function
by
Recall that a point
is said to be a Lebesgue point of a function
if
Lemma 3.1
[Citation3, Lemma 2.16].
Let be such that
and
. Suppose ψ is a measurable function on
satisfying
(11)
(11)
with some constant
. Then for every Lebesgue point
of a function a belonging to the space
, one has
3.2. The infimum of the doubling constants
For a Banach function space X and , consider the doubling constant
(12)
(12)
Lemma 3.2
[Citation3, Lemma 3.1].
If a Banach function space X satisfies the weak doubling property, then
3.3. Proof of Theorem 1.2
We follow the scheme of the proof of [Citation3, Theorem 4.1]. Let be defined for all
by (Equation12
(12)
(12) ). If, for some
, the quantity
is infinite, then it is obvious that
(13)
(13)
Since X satisfies the weak doubling property, there exists
such that
is finite.
Take an arbitrary Lebesgue point of the function a. Let an even function
satisfy the following conditions:
Let
and
Then
and
Hence, for all
and
,
Since
and η is a Lebesgue point of a, it follows from Lemma 3.1 that for any
there exists
such that for all
and all
,
It is clear that
. Then the above inequality implies that for all
and
,
Hence, it follows from Lemma 2.4, Theorem 1.1(d) for
and Lemma 2.2 that for all
,
Taking into account that
, it follows from the above inequality, Theorem 1.1(d) for
and Lemma 2.4 that for all
,
(14)
(14)
Since
, the definition of
given in (Equation12
(12)
(12) ) implies that there exist
and
such that
Choosing these δ and y, and dividing both sides of inequality (Equation14
(14)
(14) ) by
, we get
Passing to the limit as
, we obtain for all Lebesgue points
of the function a,
Passing to the limit as
, we get
Since
, almost all points
are Lebesgue points of the function a in view of the Lebesgue differentiation theorem (see, e.g. [Citation1, Corollary 2.1.16 and Exercise 2.1.10]). Therefore
and inequality (Equation13
(13)
(13) ) holds for all
. It is now left to apply Lemma 3.2.
Suppose that there is a constant such that
for all
. It follows from Theorem 1.1(c) that
belongs to
and
. Since
, we conclude that
So, the constant
in the estimate
is best possible.
3.4. Proof of Corollary 1.4
Let . We already know that
and
are quasi-normed spaces with respect to the quasi-norms
and
, respectively. Moreover,
and
are norms. So, it remains only to show that the spaces
and
are complete with respect to
and
, respectively.
It follows from Theorem 1.1(a),(c) that
(15)
(15)
By definition, every
is equal to either X or
for some
. Taking q = 1 in the former case and using Theorem 1.1(b), we conclude that
(16)
(16)
It follows from (Equation15
(15)
(15) ), (Equation16
(16)
(16) ) that for every
there exists
such that
(17)
(17)
for all
.
Suppose that is a Cauchy sequence in
. It follows from Corollary 1.3 and inequality (Equation17
(17)
(17) ) that
is a Cauchy sequence in
. Since
is complete, there exists
such that
as
. Hence, in view of [Citation1, Theorem 2.5.10], for each
,
In view of the standard fact on
spaces (see, e.g. [Citation11, Section 7.23]), there is a subsequence
such that
a.e. as
.
Fix . Since
is a Cauchy sequence in
, there exists
such that for all m, k>N and all
,
Hence, for all m>N, all
such that
, and all
,
(18)
(18)
Since for all m>N and
,
applying the Fatou lemma for
(Lemma 2.3 if
is one of the spaces
with
or [Citation5, Chap. 1, Lemma 1(e)], [Citation6, Chap. 1, Lemma 1.5] if
) to inequality (Equation18
(18)
(18) ), we get for all m>N and
,
Hence for m>N we have
, which completes the proof in the case of
.
The proof of the completeness of the space is analogous.
4. Concluding remarks and open problems
Recall that if , then
and
. The Marcinkiewicz space
is not normable (see, e.g. [Citation15, Chap. V, 5.12]). On the other hand, one can equip the Lorentz space
,
, with an equivalent norm and turn it into a Banach function space (see, e.g. [Citation6, Chap. 4, Theorem 4.6]). The problem of normability of more general Lorentz-type spaces was considered, for instance, in [Citation16, Section 2.5].
Problem 4.1
Describe Banach function spaces X for which the abstract Lorentz spaces with
can be equipped with equivalent Banach function norms.
The answer does not seem to be known even for Lebesgue spaces with variable exponents (see [Citation9, Section 2.3]).
If the space admits an equivalent Banach function norm, one can apply to
results from [Citation3] (it follows from Lemma 2.4 that
satisfies the weak doubling property if and only if X does). This would provide results on Fourier multipliers acting from
to
, while Theorem 1.2 is concerned with an a priori wider class of Fourier multipliers acting from
to
because, in view of Theorem 1.1(c), one has
for
.
Note that for Fourier multipliers acting from to X, an analogue of Theorem 1.2 holds without the a priori assumption
(see [Citation3, Theorem 1.3 and Section 4.2]). Unfortunately, we don't know whether or not it can also be removed from Theorem 1.2.
Problem 4.2
Prove (or disprove) Theorem 1.2 for arbitrary
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References
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Appendix. Abstract Lorentz spaces built upon rearrangement-invariant Banach function spaces
Following [Citation6, Chap. 2, Definitions 1.1 and 1.2], the distribution function of a function
is given by
Two functions
are said to be equimeasurable if
for all
. The non-increasing rearrangement of a function
is the function
defined by
with the convention that
(see, e.g. [Citation6, Chap. 2, Definition 1.5]).
A Banach function norm is said to be rearrangement-invariant if
for every pair of equimeasurable functions
. In that case, the Banach function space
generated by ρ is said to be a rearrangement-invariant Banach function space (see [Citation6, Chap. 2, Definition 4.1]).
The fundamental function of a rearrangement-invariant Banach function space X is defined by
where
is a measurable set with
(see, e.g. [Citation6, Chap. 2, Definition 5.1]).
Lemma A.1.
Let and X be a rearrangement-invariant Banach function space. For every function
, one has
(A1)
(A1)
Proof.
It follows from the definition of that
(A2)
(A2)
Take any t>0 and suppose that
. It follows from [Citation6, Chap. 2, formula (1.10)] that for every
there exists
such that
. Since
is non-decreasing (see [Citation6, Chap. 2, Corollary 5.3]), it follows from (EquationA2
(A2)
(A2) ) that
Since
is arbitrary, one gets
, and it is clear that this inequality holds in the case
as well. So,
(A3)
(A3)
Now, fix any
and suppose that
. Take any
and set
. Since
, it follows from [Citation6, Chap. 2, formula (1.10)] that
and hence
Sending ε to 0 and using the fact that
is uniformly continuous on the segment
(see [Citation6, Chap. 2, Corollary 5.3]), one gets
(A4)
(A4)
If
, then
(see [Citation6, Chap. 2, Corollary 5.3]) and (EquationA4
(A4)
(A4) ) remains true. It follows from (EquationA2
(A2)
(A2) ) and (EquationA4
(A4)
(A4) ) that
(A5)
(A5)
Combining (EquationA3
(A3)
(A3) ) and (EquationA5
(A5)
(A5) ), we arrive at (EquationA1
(A1)
(A1) ) in the case
.
Now, suppose that . Using (EquationA2
(A2)
(A2) ), the equality
(see, e.g. [Citation6, Chap. 2, formula (1.19)]), monotonicity of
, the equality
, and continuity of
(see [Citation6, Chap. 2, Corollary 5.3]), one gets
which immediately implies (EquationA1
(A1)
(A1) ) for
.