Intrinsic nature of the Stein-Weiss $H^1$-inequality
Liguang Liu, Jie Xiao

TL;DR
This paper investigates the intrinsic properties of the Stein-Weiss $H^1$-inequality, revealing a characterization of certain function spaces through Riesz transforms and duality, and addressing Bourgain-Brezis' decomposition problem.
Contribution
It provides a new characterization of the Riesz transform component in the Stein-Weiss inequality using duality and BMO, linking it to Bourgain-Brezis' problem.
Findings
Characterizes functions in $I_s([ ing{H}^{s,1}_-]^*)$ via Riesz transforms and BMO.
Links the Stein-Weiss inequality to Bourgain-Brezis' decomposition problem.
Establishes a connection between $H^1$-inequality and Riesz transform decompositions.
Abstract
This paper explores the intrinsic nature of the celebrated Stein-Weiss -inequality through the tracing and duality laws based on Riesz's singular integral operator . We discover that if and only if such that in (the John-Nirenberg space introduced in their 1961 {\it Comm. Pure Appl. Math.} paper \cite{JN}) where is the vector-valued Riesz transform - this characterizes the Riesz transform part of Fefferman-Stein's decomposition (established in their 1972 {\it Acta Math} paper \cite{FS}) for and yet indicates…
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Advanced Mathematical Physics Problems · Mathematical Analysis and Transform Methods
Intrinsic nature of the Stein-Weiss -inequality
Liguang Liu
School of Mathematics, Renmin University of China, Beijing 100872, China
and
Jie Xiao
Department of Mathematics and Statistics, Memorial University, St. John’s, NL A1C 5S7, Canada
Abstract.
This paper explores the intrinsic nature of the celebrated Stein-Weiss -inequality
[TABLE]
through the tracing and duality laws based on Riesz’s singular integral operator . We discover that f\in I_{s}\big{(}[\mathring{H}^{s,1}_{-}]^{\ast}\big{)} if and only if \exists\ \vec{g}=(g_{1},...,g_{n})\in\big{(}L^{\infty}\big{)}^{n} such that in (the John-Nirenberg space introduced in their 1961 Comm. Pure Appl. Math. paper [14]) where is the vector-valued Riesz transform - this characterizes the Riesz transform part \vec{R}\cdot\big{(}L^{\infty}\big{)}^{n} of Fefferman-Stein’s decomposition (established in their 1972 Acta Math paper [9]) for \mathrm{BMO}=L^{\infty}+\vec{R}\cdot\big{(}L^{\infty}\big{)}^{n} and yet indicates that I_{s}\big{(}[\mathring{H}^{s,1}_{-}]^{\ast}\big{)} is indeed a solution to Bourgain-Brezis’ problem under : “What are the function spaces , such that every has a decomposition where ?” (posed in their 2003 J. Amer. Math. Soc. paper [6]).
2010 Mathematics Subject Classification:
35R11, 47G40, 49Q15
2010 Mathematics Subject Classification:
31B15, 42B30, 42B37, 46E35
LL was supported by the National Natural Science Foundation of China (# 11771446); JX was supported by NSERC of Canada (# 202979463102000).
Contents
1. Introduction
1.1. The Stein-Weiss -inequalities
For , denote by the real Hardy space on the Euclidean space , consisting of all functions in the Lebesgue space with
[TABLE]
where
[TABLE]
is the vector-valued Riesz transform on , with
[TABLE]
and being the Gamma function. Also, for a vector-valued function
[TABLE]
let
[TABLE]
Note that coincides with the classical Lebesgue space whenever and the -th order Riesz singular integral operator acting on a function
[TABLE]
is defined by
[TABLE]
We refer the reader to Stein’s seminal texts [33, 34] for more about these basic notions. The well-known Stein-Weiss -inequality (cf. [35]) states that under
[TABLE]
the Riesz-Hardy potential space can be continuously embedded into , that is,
[TABLE]
Let be the collection of all infinitely differentiable functions compactly supported in . Note that is dense in for any . For any let
[TABLE]
and
[TABLE]
where (cf. [7, Definition 1.1, Lemma 1.4] for and §2 below for )
[TABLE]
In particular, if then there are two -dependent constants to make the following Liouville fractional derivative formulas (cf. [27]):
[TABLE]
Hence it is natural and reasonable to adopt the notations
[TABLE]
The operators and can be viewed as the fractional extensions of the gradient operator
[TABLE]
Accordingly, for any , the Stein-Weiss inequality (1.1) (cf. [25]) amounts to
[TABLE]
Of course, it is appropriate to mention the following basic facts:
If , then the right-hand-side of (1.2) can be replaced by . More precisely, on the one hand, the boundedness of on and (1.2) give (cf. [26, Lemma 2.4])
[TABLE]
One the other hand, [26, Theorem 1.8] derives
[TABLE]
If , then the right-hand-side of (1.2) can be replaced by (cf. [25, Theorem ]) but cannot be replaced by (cf. [33, p.119]).
If , then the right-hand-side of (1.2) cannot be replaced by either or . A counterexample is given in [25, Section 3.3].
If , then instead of the strong-type estimates, one has the following weak-type inequality:
[TABLE]
while the case for is due to the boundedness of from to (cf. [2] or [33, p. 119]) and for follows further from [21, (1.5)] showing
[TABLE]
1.2. Overview of the principal results
The above analysis has driven us to take a fractional-geometrical-functional look at the most important case of the Stein-Weiss inequality (1.1).
Dense subspaces of
Denote by the Schwartz class on consisting of functions such that
[TABLE]
Also, write for the Schwartz tempered distribution space - the dual of endowed with the weak- topology.
As detailed in §2, given , if we let
[TABLE]
then for any
[TABLE]
we can define as a distribution in . This definition and the case of (1.2) motivate us to consider the fractional Hardy-Sobolev space
[TABLE]
Note that
[TABLE]
So, is properly a norm on quotient space of modulo the space of all real constants, and consequently this quotient space is a Banach space.
Upon introducing
[TABLE]
we immediately find
[TABLE]
Also, since is dense in but it is hard to see the density of in , we are induced to introduce
[TABLE]
and yet still have
[TABLE]
whose is a Banach space modulo the space of all real constants.
Correspondingly, for let be the collection of all locally integrable functions on obeying
[TABLE]
Then the quotient space of modulo the space of all real constants is equal to the homogeneous Besov space (cf. [38]) and is also called Sobolev-Slobodeckij space (cf. [36, p. 36]) or fractional Sobolev space (cf. [23]), and hence
[TABLE]
is dense in . In accordance with [8, Appendix], any function
[TABLE]
can also be approximated by functions in . Since (cf. [26, 27])
[TABLE]
it follows that
[TABLE]
Thus, both and contain . More information on is demonstrated in Propositions 2.11-2.12-2.13-2.14.
Tracing laws for
The previous discussions derive that
[TABLE]
and
[TABLE]
are valid, but
[TABLE]
is not true. In order to understand an essential reason for the truth of (1.5) or (1.6) and the fault of (1.7), we investigate under what condition of a given nonnegative Radon measure (restricting/tracing a function to a lower dimensional manifold) in one has
[TABLE]
Accordingly, we discover such a tracing law that (1.8) is valid if and only if the isocapacitary inequality
[TABLE]
holds, where the right quantity of (1.9) is called \big{\{}H^{s,1},H^{s,1}_{\pm}\big{\}}\ni X-capacity of and defined by
[TABLE]
In §3, we utilize the fractional Sobolev capacity and the Hausdorff capacity to handle and its strong or weak capacitary inequality through Theorems 3.3 & 3.5-3.6. Then, we verify (1.8)(1.9) in Theorem 3.7.
Duality laws for
As a by-product of (1.3)-(1.4) and the capacity analysis developed within §3, Theorem 4.3 shows that the dual space can be characterized by the bounded solutions
[TABLE]
of the fractional differential equation
[TABLE]
where
[TABLE]
Also, a similar characterization for
[TABLE]
is presented in Theorem 4.3 in terms of the bounded solutions to the fractional differential equation
[TABLE]
Furthermore, suppose that is the well-known John-Nirenberg class of all locally integrable functions on with bounded mean oscillation (cf. [14])
[TABLE]
where
[TABLE]
and the supremum is taken over all Euclidean balls with volume . Surprisingly and yet naturally, the argument for Theorem 4.3, plus the intrinsic structure of
[TABLE]
reveals (cf. Theorem 4.4) the inclusions
[TABLE]
in the sense of or , where denotes the weak Lebesgue -space consisting of all Lebesgue measurable functions on such that
[TABLE]
and is the space of all locally integrable functions with respect to
[TABLE]
and one has the following decomposition of the canonical -function (cf. [30, 14])
[TABLE]
with being the characteristic function of the interval . Let us take the space for example to explain why we require the validity of (1.10) in the sense of . Indeed, if , then may not be pointwisely well defined, but it is a well defined distribution in .
Nevertheless, the importance of (1.10) can be also seen below.
Via a different approach, (1.10) reveals the essential structure of the Riesz transform part \vec{R}\cdot\big{(}L^{\infty}\big{)}^{n} of the Fefferman-Stein decomposition (cf. [9, Theorems 2&3], [37] for a constructive proof, and [13, 10] for some related discussions):
[TABLE]
And yet, it is uncertain that I_{s}\big{(}[\mathring{H}^{s,1}_{-}]^{\ast}\big{)} is strictly contained in under .
(1.10) may be treated as a solution to the Bourgain-Brezis question (cf. [6, p.396]) - What are the function spaces , such that every has a decomposition where ?. This question is motivated by the fact that obeys the following decomposition ([6, p.305])
[TABLE]
As proved in [22, Theorem 3.5] (solving the open problem in [5, Remark 3.12]), if is the space of all -functions with bounded variation on , then its dual space comprises all tempered distributions
[TABLE]
and hence
[TABLE]
This indicates that (1.10) has a limiting case :
[TABLE]
(1.10) improves [29, Corollary 1.5] which proves that
[TABLE]
(1.10) derives that (cf. Theorem 4.4) for
[TABLE]
one can get a vector-valued function
[TABLE]
Consequently, this divergence-equation-result is valid for
[TABLE]
Although is a proper subspace of on , the foregoing consequence cannot be extended to
[TABLE]
in the following sense that (cf. [6, p.394] or [20])
[TABLE]
Notation
In the foregoing and forthcoming discussions, (resp. ) means (resp. ) for a positive constant and amounts to . Moreover, stands for the characteristic function of a set , and
[TABLE]
2. Dense subspaces of
2.1. Initial definitions of
Note that any has its Fourier transform
[TABLE]
So the Fourier transform can be naturally extended to by the dual paring
[TABLE]
Definition 2.1**.**
For let be determined by the Fourier transform
[TABLE]
Then we have the following comments.
- (i)
Since has singularity at the origin, it is not true that for general . However, if
[TABLE]
then (cf. **[28, Section 2]** or **[7]**)
[TABLE] 2. (ii)
Recall that
[TABLE]
Then
[TABLE] 3. (iii)
As the dual space of let be the space modulo the space of all real-valued polynomials. Then, for any we can define as a distribution in :
[TABLE]
Evidently, maps onto (cf. **[36, pp. 241-242]**).
The -th order Riesz potential is defined by
[TABLE]
If , then has the integral expression (cf. [33, p. 117])
[TABLE]
Based on Definition 2.1(iii), the definition of is extendable to and so maps onto .
About
Upon following [28, Section 2.1], we can extend the definition of to more general distributions.
Definition 2.2**.**
For set
[TABLE]
Then we have the following comments.
- (i)
If , then is defined as a distribution in :
[TABLE]
- (ii)
According to **[28, Proposition 2.4]**, if belongs to the weighted-* space*
[TABLE]
and the Hölder space in a neighborhood of for some , then is continuous at and it has the integral expression (cf. **[7, Definition 1.1 & Lemma 1.4]**)
[TABLE]
Evidently, this integral expression holds for any .
The next lemma shows that is the inverse of on , and vice versa.
Lemma 2.3**.**
If , then
[TABLE]
Proof.
On the one hand, [33, p. 117, Lemma 1(a)] and Definition 2.2 derive
[TABLE]
On the other hand, for any we use
[TABLE]
to get
[TABLE]
which implies
[TABLE]
Accordingly, and locally satisfies the Lipschitz condition. Now, an application of Definition 2.2(ii) gives that is continuous on . Furthermore, since
[TABLE]
we have
[TABLE]
where the second identity is from the Fubini theorem and the last identity is due to the already-proved identification
[TABLE]
Accordingly,
[TABLE]
But nevertheless,
[TABLE]
are continuous on , so we arrive at
[TABLE]
∎
About
We begin with the following
Definition 2.4**.**
For let
[TABLE]
where each is defined via the Fourier transform:
[TABLE]
Lemma 2.5**.**
If , then
[TABLE]
Proof.
With
[TABLE]
it follows from Definition 2.4 that any satisfies
[TABLE]
Note that the second equality in the above formula also implies
[TABLE]
Moreover, the integration by parts formula gives
[TABLE]
where is the outward unit vector on the surface of the ring
[TABLE]
and is the -dimensional Hausdorff measure. An application of
[TABLE]
derives
[TABLE]
and
[TABLE]
Consequently, the Lebesgue dominated convergence theorem, along with
[TABLE]
yields the desired integral expression in (2.1):
[TABLE]
∎
Lemma 2.6**.**
If , then maps into .
Proof.
Suppose
[TABLE]
Since
[TABLE]
the Fourier transform gives
[TABLE]
This, combined with the integral representation of given in Lemma 2.5, yields
[TABLE]
Clearly,
[TABLE]
Also, the mean-value theorem derives
[TABLE]
Combining the above two estimates gives
[TABLE]
and so
[TABLE]
∎
Lemma 2.6 can be used to extend the definition of to all distributions in .
Definition 2.7**.**
For let
[TABLE]
where is defined by
[TABLE]
Like Definition 2.2 made for , we have also the integral representing of whenever has local Hölder regularity.
Lemma 2.8**.**
Let . If has the Hölder continuity of order in a neighborhood of for some , then is continuous at and
[TABLE]
Proof.
Without loss of generality, we may assume that is bounded and naturally is unbounded. An application of both
[TABLE]
and
[TABLE]
derives
[TABLE]
and hence the integral in the right-hand-side of (2.2) converges absolutely.
To show (2.2), we take an arbitrary open set compactly contained in . According to the proof of [28, Proposition 2.4], there exists a sequence uniformly bounded in , converging uniformly to in and also converging to in the norm of . For any , since , we utilize Lemma 2.5 to write
[TABLE]
From the uniform bound on the -norm of in it follows that
[TABLE]
uniformly in as . Since converges to in the norm of , it follows easily that
[TABLE]
Accordingly, must coincide with
[TABLE]
in by the uniqueness of the limits. So, (2.2) holds. ∎
Below is more information on .
Lemma 2.9**.**
Let .
- (i)
If , then it holds pointwisely on that
[TABLE] 2. (ii)
If , then in . 3. (iii)
If , then all identities in (i) hold almost everywhere on .
Proof.
(i) Via the Fourier transform, we see that
[TABLE]
map into . Then, taking the inverse Fourier transform verifies the assertion in (i).
(ii) Let
[TABLE]
Then by the just-checked (i) and Definition 2.7 we have
[TABLE]
Further, since
[TABLE]
this implication, along with the fact that maps onto , derives
[TABLE]
namely,
[TABLE]
(iii) Observe that is dense in whenever . Indeed, this follows easily from the fact that the Calderón reproducing formula of an -function
[TABLE]
holds in (cf. [11, p.8, Theorem (1.2)] for and [24] for general ), with satisfying
[TABLE]
Thus, if , then a discussion similar to (ii) yields that the identity in (i) holds in . Moreover, by the density of in and the duality equality
[TABLE]
we obtain that the identity in (i) holds in and hence almost everywhere on . ∎
2.2. Dense subspaces of
Note that is dense in . However, instead of we may consider the following larger space
[TABLE]
A dense subspace of
As showed in the coming-up-next Lemma 2.10 whose argument relies on the radial maximal function characterization of the Hardy space (cf. [34]), the class defined by (2.3) is a dense subspace of . To see this, recall that if
[TABLE]
then
[TABLE]
We are led to discover the following density for .
Lemma 2.10**.**
Let . Then any locally integrable function on with
[TABLE]
belongs to the Hardy space . Consequently, is dense in . Moreover,
[TABLE]
Proof.
Let and be as in (2.4). By the radial maximal function characterization of , we only need to show that
[TABLE]
holds for some . Indeed,
[TABLE]
However, (2.5) is verified by handling two situations: and .
If , then
[TABLE]
If , then by the conditions of we write
[TABLE]
On the one hand, the mean value theorem gives
[TABLE]
On the other hand,
[TABLE]
Via combining the last three formulae we obtain
[TABLE]
thereby reaching (2.5).
The remaining part of Lemma 2.10 is obvious. ∎
The first and second dense subspaces of
Lemma 2.10 produces the following property.
Proposition 2.11**.**
Let . Then
- (i)
** 2. (ii)
. 3. (iii)
For any there exists such that in .
Proof.
(i) For any , by the invariant property of under the action of or , we get
[TABLE]
as desired.
(ii) If , then
[TABLE]
and hence
[TABLE]
Of course, any function in belongs to . Accordingly, for any , by Lemma 2.3 we have
[TABLE]
where in the penultimate equality the Fubini theorem has been applied due to the implication that if
[TABLE]
then
[TABLE]
Therefore, we obtain
[TABLE]
Since belongs to , so does . This proves
[TABLE]
(iii) Recall that both and are one-to-one maps from to . Thus, we have
[TABLE]
thereby getting
[TABLE]
and so
[TABLE]
∎
Next, we have the following density result.
Proposition 2.12**.**
If , then
[TABLE]
Moreover, both and are dense in .
Proof.
For any , we use Lemma 2.10 to derive
[TABLE]
This proves ; the other inclusions are obvious.
It remains to show the density of in . If , then
[TABLE]
Due to the density of in ,
[TABLE]
For any , let
[TABLE]
which actually belongs to in terms of the Fourier transform. Noticing that
[TABLE]
we have
[TABLE]
Thus, can be approximated by the -functions . ∎
A dense subspace of
It is difficult to determine the density of in . However, we have
Proposition 2.13**.**
If , then is a dense subspace of but
[TABLE]
Proof.
On the one hand, if then
[TABLE]
but Lemma 2.3 implies
[TABLE]
that is, To show the density of in , given any we utilize
[TABLE]
and the density of in to find a sequence
[TABLE]
such that
[TABLE]
Upon defining
[TABLE]
and using Lemma 2.3, we gain the representation
[TABLE]
and the desired convergence
[TABLE]
In other words, is a dense subspace of .
On the other hand, is not a subspace of - otherwise - if , then this, along with , would imply and hence which is impossible. ∎
The third dense subspace of
In addition to Proposition 2.12, we obtain
Proposition 2.14**.**
If , then
[TABLE]
is a dense subspace of .
Proof.
Proposition 2.12 implies
[TABLE]
So, it suffices to show the density of in . Let . Based on Proposition 2.11(iii),
[TABLE]
Note that is nothing but the homogeneous Triebel-Lizorkin space . So, the lifting property of on the Triebel-Lizorkin spaces (cf. [36, p. 242]) shows
[TABLE]
Therefore,
[TABLE]
Recall that [16, Theorem 1] yields that any element in can be written as the linear combinations of -atoms, just as the atomic decomposition of the Hardy space . To be precise, since , it follows that
[TABLE]
where
[TABLE]
and, based on the remark after [16, Definition (1.6)], every is a locally integrable function on with the following three properties:
- (i)
is supported on a ball ; 2. (ii)
; 3. (iii)
.
Again using the lifting property of (cf. [36, p. 242]) gives
[TABLE]
By [36, p. 242, (2)], any element in coincides with a function in in the sense of . Thus, we know from that coincides with some -function, denoted by , in the sense of . So, by the density of in (cf. the proof of Lemma 2.9(iii)) and the duality we get
[TABLE]
Let satisfy
[TABLE]
For any , define
[TABLE]
Fix an arbitrary small number . For any , an application of produces a sufficiently small such that
[TABLE]
By (2.2), the last inequality is equivalent to that
[TABLE]
Choose large enough such that
[TABLE]
and define
[TABLE]
Evidently,
[TABLE]
By the argument in [16, p. 239], we know that any -atom satisfies The choice of implies that
[TABLE]
is also an -atom, thereby yielding
[TABLE]
Upon recalling
[TABLE]
we obtain
[TABLE]
Finally, using the lifting property of (cf. [36, p. 242]) yields
[TABLE]
Due to the arbitrariness of , we obtain that can be approximated by functions in . ∎
3. Tracing laws for
3.1. Strong/weak estimates for
This section is devoted to a measure-theoretic study of the capacity living on .
Capacitary concepts
For , denote by the -dimensional Hausdorff capacity:
[TABLE]
for any set which is covered by a sequence of balls
[TABLE]
Classically, is a monotone, countably subadditive set function on the class of all subsets of , and enjoys .
Definition 3.1**.**
For and any compact set define (cf. [38, 4])
[TABLE]
Furthermore, is extendable from compact sets to general sets as seen below.
- (i)
If is open, then
[TABLE]
- (ii)
For an arbitrary set set
[TABLE]
Thus, the definition of on any compact/open set is consistent (cf. [19, Lemma 3.2.4]).
Lemma 3.2**.**
Let
[TABLE]
Then
- (i)
. 2. (ii)
* whenever .* 3. (iii)
[TABLE] 4. (iv)
* is countably subadditive, but and may not be countably subadditive.*
Proof.
Both (i) and (ii) follow from (3.1).
(iii) First, according to Definition 3.1, we only need to consider these capacities on compact sets. For any , by (1.4), we get
[TABLE]
Noting that
[TABLE]
is given in [23, Theorem 2.1] and [38, (2.1)], we are left to verify
[TABLE]
According to [4, Proposition 3], for any compact set in , the capacity
[TABLE]
satisfies
[TABLE]
By Lemma 2.10, we have
[TABLE]
and the density of in . Meanwhile, for any , it is obvious that is well defined and is continuous on . Thus, instead of using , we have
[TABLE]
For any satisfying on let
[TABLE]
which belongs to in terms of Lemma 2.10. Then, by Lemma 2.3 we have
[TABLE]
thereby achieving
[TABLE]
Taking the infimum over all such satisfying on yields
[TABLE]
Thus,
[TABLE]
This proves (3.2).
(iv) The countable subadditivity of follows from [39, Theorem 1(iii)]. Since the test functions used in
[TABLE]
are not assumed to be nonnegative, the capacities under consideration may not be countably subadditive as mentioned in [4]. ∎
Strong estimates for
First of all, an application of Proposition 3.2(iii) and [38, Theorem 1.1] or [23, Theorem 1.3] gives the following strong inequality for (cf. [38, Theorem 2.2]):
[TABLE]
Next, we are led by (3.3) to get the strong inequality for as seen below.
Theorem 3.3**.**
If , then
[TABLE]
Proof.
Note that Proposition 3.2(iii) implies
[TABLE]
and [4, Proposition 5] gives that
[TABLE]
In particular, given , we can take
[TABLE]
which belongs to via Lemma 2.10. Noting that Lemmas 2.3 and 2.9(iii) imply
[TABLE]
we obtain
[TABLE]
as desired. ∎
To establish the strong inequality for , we require the following lemma which generalizes [4, Proposition 5].
Lemma 3.4**.**
If and , then
[TABLE]
Proof.
Let . Note that Lemma 2.10 implies
[TABLE]
So, by this and the boundedness of each Riesz transform from to , we derive . Upon applying [4, p. 118, Corollary] we have
[TABLE]
where
[TABLE]
Thus, the desired result follows from showing that
[TABLE]
holds when is a nonnegative Radon measure on with - surprisingly - this assertion cannot be extended to the case (cf. [31, Theorem 1.3] which solves [30, Open Problem 7.1]).
Upon taking
[TABLE]
we have
[TABLE]
For such and , we apply
[TABLE]
and [17, Theorem 1.1] (extending the main result in [1]) to derive
[TABLE]
Moreover, it is proved in [25, Theorem A] that under the assumption one has
[TABLE]
From the last two estimates and the fact
[TABLE]
it follows that
[TABLE]
as desired; see also [12, (1.7)] for a similar estimate for an elliptic differential operator . ∎
Finally, we arrive at the following strong type inequality for .
Theorem 3.5**.**
If , then
[TABLE]
Proof.
Given . Lemmas 3.2 & 2.9 produce
[TABLE]
So, based on the argument for Theorem 3.3 and
[TABLE]
it is enough to verify
[TABLE]
However, this last estimation is established in Lemma 3.4. ∎
Weak estimates for
Although we do not know whether and in Theorem 3.5 can coincide, we have the following assertion.
Theorem 3.6**.**
Let . Then
[TABLE]
But, if X\in\big{\{}H^{s,1}_{+},H^{s,1}_{-}(n=1)\big{\}} then there is no constant such that
[TABLE]
Proof.
For , since
[TABLE]
is open, by the definition of , for any there exists a compact set
[TABLE]
such that
[TABLE]
Let . Then
[TABLE]
Accordingly, by definition we have
[TABLE]
which implies
[TABLE]
Letting gives the desired estimate
[TABLE]
Since
[TABLE]
we get
[TABLE]
In order to verify the nonexistence of the capacitary strong estimate for under consideration, we note that
[TABLE]
which follows from
[TABLE]
In fact,
[TABLE]
can be seen from [2]. This last inequality, along with the fact (from the Fourier transform) that
[TABLE]
and (cf. [21, (1.5)])
[TABLE]
in turn derives
[TABLE]
Both (3.4) and the definition of give the iso-capacitary inequality
[TABLE]
We use (3.5) to verify the failure of the capacitary strong estimate for X\in\big{\{}H^{s,1}_{+},H^{s,1}_{-}(n=1)\big{\}}. Suppose otherwise that
[TABLE]
Then, a standard layer-cake method (cf. [19, p.101]) and (3.5) derive a constant depending on such that any satisfies
[TABLE]
This contradicts the failure of (1.7) mentioned in §1.2, thereby completing the verification.
∎
3.2. Restrictions/traces of
Being motivated by [38, Theorem 1.4] for , we establish the coming-up-next restricting/tracing principle.
Theorem 3.7**.**
Let , be a nonnegative Radon measure on and
[TABLE]
Then the following two assertions are equivalent:
- (i)
there exists a positive constant such that
[TABLE] 2. (ii)
there exists a positive constant such that
[TABLE]
Moreover, the constants and are comparable to each other.
Proof.
The consequence part of Theorem 3.7 follows from (i)(ii) and
[TABLE]
So, we are required to validate (i)(ii). Two cases are considered for
[TABLE]
Case 1: (i)(ii) for .
On the one hand, if (i) holds, then the subadditivity of , the decomposition
[TABLE]
and Theorem 3.6 derive
[TABLE]
thereby verifying (ii).
On the other hand, suppose that (ii) is valid. For any compact let
[TABLE]
Then
[TABLE]
Accordingly, by definition we reach (i).
Case 2: (i)(ii) for .
On the one hand, for any the open set has a compact subset such that
[TABLE]
Thus, if (i) is valid, then
[TABLE]
Note that for any nonnegative sequence ,
[TABLE]
This in turn gives
[TABLE]
Moreover, by Lemma 3.2(ii) it follows that
[TABLE]
Altogether, we use Theorem 3.3 to obtain
[TABLE]
which implies (ii).
On the other hand, suppose that (ii) is true. Upon letting be a compact subset of we gain that for any with on ,
[TABLE]
Via taking the supremum over all such with on we get (i). ∎
4. Duality laws for
4.1. Adjoint operators of via
This subsection describes the adjoint operators of (existing as two basic notions in fractional vector calculus).
Integration-by-parts
Below is a two-fold computation.
On the one hand, the dual operator \big{[}(-\Delta)^{\frac{s}{2}}\big{]}^{\ast} of is itself, i.e.,
[TABLE]
in the sense of
[TABLE]
This is reasonable because of (cf. [32])
[TABLE]
and
[TABLE]
On the other hand, if we define
[TABLE]
then it enjoys (cf. [26, Theorem 1.3])
[TABLE]
and (cf. [8, Lemma 2.5])
[TABLE]
Thus exists as the dual operator \big{[}\nabla^{s}_{-}\big{]}^{\ast} of , i.e.,
[TABLE]
Dual pairing for
We are required to verify that can be embedded in a family of relatively bigger spaces.
Lemma 4.1**.**
If , then .
Proof.
In order to verify , it suffices to show that induces a continuous linear functional on . To this end, we consider
[TABLE]
Upon writing
[TABLE]
and noting both
[TABLE]
and
[TABLE]
we obtain
[TABLE]
as desired. ∎
Proposition 4.2**.**
For one has the following two implications.
- (i)
If , then
[TABLE] 2. (ii)
If and , then
[TABLE]
Proof.
Note that (i) follows directly from Lemma 4.1 and Definition 2.2(i).
Now we show (ii). For any , it is known that maps functions continuously into and that
[TABLE]
follows from Lemma 4.1. So, Definition 2.2(i) derives that every
[TABLE]
By this and the definition of , we have
[TABLE]
Thus, for we have
[TABLE]
Since , Lemma 2.10 yields
[TABLE]
By
[TABLE]
we further obtain
[TABLE]
thereby finding
[TABLE]
∎
4.2. Dualities of
This subsection is divided into two parts.
Fundamental duality
Below is the expected duality law.
Theorem 4.3**.**
Let , and be a nonnegative Radon measure on . Then:
- (i)
* if and only if*
[TABLE]
if and only if
[TABLE] 2. (ii)
* if and only if*
[TABLE]
if and only if
[TABLE] 3. (iii)
* if and only if*
[TABLE] 4. (iv)
* if and only if*
[TABLE]
Proof.
(i) First of all, by using the density of in both and (cf. Proposition 2.12) and the invariant of under and , we have
[TABLE]
Consequently, an application of the Fefferman-Stein duality and decomposition (cf. [9, Theorem 2 & Theorem 3])
[TABLE]
produces some
[TABLE]
such that
[TABLE]
Next, we utilize (4.1) to show the equivalence in (i). Let . For any , if we let
[TABLE]
[TABLE]
Upon applying (4.1),
[TABLE]
Proposition 4.2(i) and Definition 2.2(i), we arrive at
[TABLE]
This in turn gives
[TABLE]
and so
[TABLE]
Conversely, we assume that
[TABLE]
Then, for any , we have
[TABLE]
which, combined with the facts
[TABLE]
and Definition 2.2(i), yields
[TABLE]
Due to the density of in and , the last series of identities implies
[TABLE]
Combining this and (4.1) yields
[TABLE]
(ii) Noting that is dense in both and as shown in Proposition 2.12, we apply (1.3) to deduce
[TABLE]
Accordingly, the desired equivalence follows from [18, Proposition 3.2] and
[TABLE]
(iii) Let . If
[TABLE]
then
[TABLE]
where the second equality holds thanks to and Definition 2.2(i). Thus,
[TABLE]
which implies that induces a bounded linear functional on in terms of the density of in .
To obtain the converse part, assuming
[TABLE]
we are about to find
[TABLE]
Motivated by the argument in [6, p. 399], we consider the bounded linear operator
[TABLE]
which is actually a closed operator thanks to the definition of based on the completeness of in . If
[TABLE]
then
[TABLE]
which implies
[TABLE]
that is, in , or equivalently, is a polynomial on . Further, any being a polynomial forces to be a constant function on . In other words, it holds in . Thus, the operator is injective. In the meantime, enjoys
[TABLE]
Consequently, has a continuous inverse from to . Since the definition of (determined by the closure of in ) ensures that
[TABLE]
is a closed linear operator, the closed range theorem (see [40, p. 208, Corollary 1]) derives that the transpose of
[TABLE]
defined by
[TABLE]
is surjective. In particular, since
[TABLE]
we can find
[TABLE]
Consequently, for any , we have
[TABLE]
whence gives
[TABLE]
(iv) Let . If
[TABLE]
then Proposition 4.2(ii) implies
[TABLE]
and hence
[TABLE]
Since is dense in , induces a bounded linear functional on .
To obtain the converse part, assuming
[TABLE]
we are about to show
[TABLE]
To this end, we consider the bounded linear operator
[TABLE]
Suppose
[TABLE]
Since , it follows that . For any , the Fourier transform implies that
[TABLE]
thereby giving
[TABLE]
This shows that in . In other words, is a polynomial on . However, if a polynomial is a bounded linear functional on , then must be a constant function, which implies that in . In other words,
[TABLE]
is injective.
This last injectiveness and the next identification
[TABLE]
derive that
[TABLE]
has a continuous inverse sending to .
Clearly, the closure of in ensures that is closed in . So, from the closed range theorem it follows that the ’s transpose
[TABLE]
defined by
[TABLE]
is surjective. Consequently, for the hypothesis there exists
[TABLE]
Although it is uncertain that , we can utilize the inclusion
[TABLE]
and the classical Hahn-Banach extension theorem to extend to an element
[TABLE]
such that
[TABLE]
Accordingly, if , then
[TABLE]
and hence
[TABLE]
∎
Fefferman-Stein decomposition & Bourgain-Brezis question for John-Nirenberg space
As a consequence of Theorem 4.3(iv), we surprisingly discover the coming-up-next assertion is indeed a resolution of the Bourgain-Brezis problem (cf. [6, p.396]) asking for any function space between and such that every has a representation
[TABLE]
As a subspace of the distribution space , the above-searched space is nothing but for every number . Moreover, the well known Fefferman-Stein decomposition (cf. [9, Theorems 2&3]) gives
[TABLE]
Theorem 4.4**.**
Let and . Then
[TABLE]
in the sense of
[TABLE]
if and only if
[TABLE]
Moreover, under , it holds that
[TABLE]
As a consequence, when , given any , there exists (Y_{1},...,Y_{n})\in\big{(}L^{\infty}\big{)}^{n} such that
[TABLE]
Proof.
Let us first validate
[TABLE]
in (4.3). If for some , then
[TABLE]
and hence is a well defined distribution in . Applying Theorem 4.3(iv), we write
[TABLE]
for some
[TABLE]
Consequently, for any , upon letting , we have
[TABLE]
which gives that
[TABLE]
Due to the density of in (cf. [4]), the above identities also implies
[TABLE]
Now, we are about to show the part
[TABLE]
in (4.3). Given any
[TABLE]
we utilize Theorem 4.3(iv) to derive that
[TABLE]
which in turn gives that
[TABLE]
that is,
[TABLE]
as desired. So, we complete the proof of (4.3).
Next, we show (4.4). Due to the density of in , it suffices to show its validity in . To do so, let us begin with verifying
[TABLE]
For any , since (cf. [6]) and (cf. Lemma 4.1), we know from Definition 2.2(i) that is a well-defined distribution in and
[TABLE]
In particular, if , then the Fourier transform gives that
[TABLE]
holds pointwisely, so that we can use the integral by parts formula and the continuity of the mapping (cf. [2]) to derive
[TABLE]
Further, using the density of in (cf. the proof of Lemma 2.9(iii)), we know that
[TABLE]
Thus, understood in the sense of distributions, it holds in and .
Also, since
[TABLE]
is obvious, we secondly validate
[TABLE]
Upon observing that exists as the dual of the Lorentz space
[TABLE]
we use the Hölder inequality for weak Lebesgue space (cf. [15, Exercise 1.1.15]) and [29, (1.3)] to derive that for any one has
[TABLE]
Combining this and density of in shows that any can induce a bounded linear functional on . This proves
[TABLE]
Finally, due to
[TABLE]
we can find a vector-valued function
[TABLE]
such that
[TABLE]
∎
Acknowledgement: We would like to thank D. Spector for his constructive comments on the original version of this paper.
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- 3[3] D.R. Adams, A sharp inequality of J. Moser for higher order derivatives. Ann. Math. 128(1988)385-398.
- 4[4] D.R. Adams, A note on Choquet integrals with respect to Hausdorff capacity. Lecture Notes Math. 1302 (1988)115-124.
- 5[5] L. Ambrosio, N. Fusco and D. Pallara, Functions of Bounded Variation and Free Discontinuity Problems . Oxford Math. Monographs. The Clarendon Press, Oxford Univ. Press, New York, 2000.
- 6[6] J. Bourgain and H. Brezis, On the equation div Y = f div 𝑌 𝑓 \text{div}Y=f and application to control of phases. J. Amer. Math. Soc. 16(2003)393-426.
- 7[7] C. Bucur, Some observations on the Green function for the ball in the fractional Laplace framework. Comm. Pure Appl. Anal. 15(2016)657-699.
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