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Estimates for the multiple singular integrals via extrapolation
Journal of Inequalities and Applications volume 2011, Article number: 115 (2011)
Abstract
This paper is devoted to the study on the Lpestimates for the multiple singular integrals with rough kernels on product spaces ℝn× ℝm(n, m ≥ 2). By means of extrapolation method and Fourier transform estimate, we prove that the multiple singular integral operators are bounded on Lp(ℝn× ℝm) for the kernel functions: Ω ∈ L(log L)2(Sn- 1× Sm- 1), . Furthermore, we prove that when Ω ∈ L(log L)2(Sn-1× Sm- 1) and h satisfying a 'log' type condition defined on ℝ+ × ℝ+, the multiple singular integral operators are bounded on L2(ℝn× ℝm), which improves the well-known result.
MR(2010) Subject Classification
42B20, 42B25
1 Introduction
Let ℝn(n ≥ 2) be n-dimensional Euclidian space and Sn-1be the unit sphere in ℝn. Suppose that the function Ω ∈ L1(Sn-1) satisfies the following cancelation condition
where dσ denotes the usual Lebesgue surface measure on the unit sphere Sn- 1.
Let L(log L)α (Sn-1) denotes the functions Ω defined on Sn-1satisfying the Zygmund condition: for α > 0,
It is noted that for any q > 1, we have the proper inclusion relations hold:
For s ≥ 1, let Δ s (ℝ+) denote the collection of measurable functions h on ℝ+ = {t ∈ ℝ : t > 0} satisfying
where ℤ denotes the set of integers. Also by usual modification, Δ∞ (ℝ+) = L∞(ℝ+).
We note that Δ s ⊂ Δ t if s > t. We can always assume that h ∈ Δ1.
A singular integral operator is defined in the following form:
for an appropriate function f on ℝn, where K (y) = |y|-nh(|y|)Ω(y'), y' = |y|-1y.
It is well known that if Ω ∈ L log L(Sn-1), h = 1, by the method of rotations, Calderón and Zygmund [1] proved that S extends to a bounded operator on Lpfor all p ∈ (1, ∞). In [2], R. Fefferman first introduced the case of rough radial and proved that if h ∈ Δ∞ (ℝ+) and Ω satisfy a Lipschitz condition of positive order on Sn-1, then S is bounded on Lpfor 1 < p < ∞. Namazi [3] improved this result by replacing the Lipschitz condition by the condition that Ω ∈ Lq(Sn-1) for some q > 1. In [4], Duoandikoetxea and Rubio de Francia developed some methods that can be used to study mapping properties of several kinds of operators in harmonic analysis, where they proved that S is bounded on Lpfor 1 < p < ∞ when h ∈ Δ2(ℝ+) and Ω ∈ Lq(Sn-1). In [5], Al-Salman and Pan proved that S is bounded on Lp for 1 < p < ∞ when h ∈ Δs(ℝ+)(s > 1) and Ω ∈ L log L(Sn-1). Recently, using a method called Yano's extrapolation method [6, 7], Sato [8] proved that S extends to be an operator bounded on Lpfor 1 < p < ∞ where Ω ∈ L log L(Sn-1) and the radial function h satisfying a rougher condition as a log type.
Define the function spaces
where
And define the function space
where
with d m (h) = supk∈ℤ2-k|E(k, m)| and E(k, m) = {r ∈ (2k, 2k+1] : 2m-1< |h(r)| ≤ 2m} for m ≥ 2, E(k, 1) = {r ∈ (2k, 2k+1] : |h(r)| ≤ 2}. Indeed, it is noted that for any a > 0, and for some b > 1.
Sato's main result is the following theorem:
Theorem A. [8] Suppose Ω is a function in L log L(Sn-1) satisfying (1.1) and (or for some a > 2). Let S be as in (1.2). Then, there is a constant C such that
for all p ∈ (1, ∞).
For the one-parameter case, there are also several other papers. Especially, in [9, 10], weighted Lpboundedness of singular integrals was discussed. The reader also can refer to [11–13] for more background materials.
In the article, we mainly consider the Lpboundedness for the multiple singular integrals with rough kernels. Suppose that Sd-1(d = n or m) is the unit sphere of ℝd(d ≥ 2) equipped with the usual Lebesgue measure dσ. Let Ω ∈ L1(Sn-1× Sm-1) satisfy the following double cancelation condition:
For α ≥ 1,
where
The multiple singular integral on the product space ℝn× ℝmis defined by the following form:
for an appropriate function f on ℝn× ℝm, where
Let L(log L)α(Sn-1× Sm-1) denote the class of the functions Ω defined on Sn-1× Sm-1satisfying the Zygmund condition: for α > 0,
Historically, multiple singular integral was introduced by R. Fefferman and Stein's famous work on multiparameter harmonic analysis. Fefferman and Stein [14] proved that when h ≡ 1, T is bounded on Lp(ℝn× ℝm) for 1 < p < ∞ if Ω satisfy certain smooth conditions. Their method mainly relies on so-called square function method. Subsequently, in [15], Duoandikoetxea used the method established in [4] and proved that T is bounded on Lp(ℝn× ℝm) for 1 < p < ∞ when Ω ∈ Lq(Sn-1× Sm-1) for some q > 1 and h ∈ Δ2(ℝ+ × ℝ+). In [16], Fan-Guo-Pan proved that T is bounded on Lp(ℝn× ℝm) for 1 < p < ∞ for the case when Ω belongs to certain block spaces that contain Lq(Sn-1× Sm-1) (for p = 2, it was proved by Jiang and Lu in [17] ) and h = 1. In [18], Chen proved that T is bounded on Lp(ℝn× ℝm) for 1 < p < ∞ when Ω ∈ L(log L)2 (Sn-1× Sm-1) and h = 1 where he mainly relies on the method of rotation. In [19], Al-Salman, Al-Qassem and Pan proved that T is bounded on Lp(ℝn× ℝm) for 1 < p < ∞ when Ω ∈ L(log L)2(Sn-1× Sm-1) and h ∈ Δ α for some α > 1, where their technique mostly based on refining the Duoandikoetxea-Rubia's Fourier transform estimates and Littlewood-paley theory. In the same paper, they also pointed out that for any ε > 0, there is a function Ω ∈ L(log L)2-ε(Sn-1× Sm-1) such that T may fail to be bounded on Lp(ℝn× ℝm).
The main purpose of this paper is to improve the above results, especially the rough product radial part. For this reason, we introduce several measurable function spaces defined on and for α > 0, where these spaces are equipped with the following "norms":
with and E(k, j, m) = {(r, s) ∈ (2k, 2k+1] × (2j, 2j+1] : 2m-1< |h(r, s)| ≤ 2m} for m ≥ 2, E(k, j, 1) = {(r, s) ∈ (2k, 2k+1] × (2j, 2j+1] : |h(r, s)| ≤ 2}.
Remark 1.1. Of course by the usual modification, . For simplicity, we let and . It is easy to check that (1) ; (2) if 1 ≤ β < α; (3) for any α > 0, and for any β > 1; (4) for any α > 1 and β > 0, .
Our main results are the following theorems:
Theorem 1.1. Suppose that Ω ∈ L(log L)2(Sn-1× Sm-1) satisfying (1.3),
-
(1)
if or for some α > 3, then there is a constant C such that
(1.6) -
(2)
if , then there is a constant C, which is independent of α, such that
(1.7)
for p ∈ (1, ∞).
Remark 1.2. In [19], it was proved that h ∈ Δ α for some α > 1 and Ω ∈ L(log L)2(Sn-1× Sm-1) are sufficient for Lpboundedness for the multiple singular integral T. As for p = 2, Theorem 1.1 extended this result. For p ≠ 2, our condition is strong. However, our result gives a sharp constant estimate, which gives the following corollary when the product radial part is separated (that is, h(r, s) = h1(r) ⋅ h2(s)).
Corollary 1.1. Suppose that Ω ∈ L(log L)2(Sn-1× Sm-1) satisfying (1.3) and if h(r, s) = h1(r) ⋅ h2(s), where h1 or h2 satisfies one of the following case:
-
(1)
h 1 ∈ Δ α (ℝ+) ((α > 1)) and (or for some a > 3);
-
(2)
(or fsor some a > 3) and h 2 ∈ Δ s (ℝ+) ((s > 1)),
then there is a constant C such that
for p ∈ (1, ∞).
Our proof of the above theorem is based on the argument of Sato [8], which mainly relied on Yano's extrapolation method. The following theorem is the key step to prove Theorem 1.1.
Theorem 1.2. Suppose that Ω ∈ Lq(Sn-1× Sm-1)(q ∈ (1, 2]) satisfying (1.3).
-
(1)
If h ∈ Δ α (α ∈ (1, 2]), then there exists a constant C, which is independent of q, α, Ω, h, such that
(1.9) -
(2)
If , then there exists a constant C, which is independent of q, α, Ω, h, such that
(1.10)
for p ∈ (1, ∞).
Remark 1.3. Corollary 1 in [15] asserted that if h ∈ Δ2 and Ω ∈ Lq(q > 1)(Sn-1× Sm-1), then T is bounded in Lp(ℝn× ℝm) for p > 1. After a careful check of its proof, we find that the condition h ∈ Δ2 is not sufficient for p ≠ 2 since the two partial maximal functions are taken supremum both j and k, it seems that if h ∈ Δ2, the partial maximal function is not pointwise controlled by the one-parameter maximal function case (line 10-13, [15]). If we substitute h ∈ Δ2 with , Corollary 1 in [15] is corrected. This is why we introduce the space . Of course, we remark that our result is mainly influenced by the idea and the technique established in [15]: Littlewood-Paley theory for product theory, Fourier transform estimates, etc.
Remark 1.4. The maximal multiple singular integral is defined as
where K is as in (1.5). By the estimates we have established and Yano's extrapolation method, combining with [20], we have the same result for the maximal multiple singular integral as in [19]:
Theorem 1.3. Suppose that Ω ∈ L(log L)2(Sn-1× Sm-1) satisfies (1.3) and h ∈ Δ∞, then there exists a constant C, such that
for p ∈ (1, ∞).
We leave the proof to the interested reader. But we do not know whether h can be extended to more general case like .
This paper is organized as the following. In Section 2, we give the proof of Theorem 1.2. In Section 3, we give the proof of Theorem 1.1 and Corollary 1.1. Throughout this paper, the letter C will stand for a constant that may vary at each occurrence but that is independent of the essential variables and p' be the conjugation of p satisfying .
2 Proof of Theorem 1.2
Let Ω, h be as in Theorem 1.2. We let ρ ≥ 2, define
and measures σk,jby
So
Define σ* by σ* f(x) = supk,j||σk,j| * f(x)|, where |σk,j| denotes the total variation. Let μk,j= |σk,j| and define μ* by μ* f(x) = supk,j|μk,j* f(x)|. Let θ ∈ (0, 1), δ(p) = |1/p - 1/p'|, we have the following two lemmas.
Lemma 2.1. For p > 1 + θ, suppose that Ω ∈ Lq(Sn-1× Sm-1)(q ∈ (1,2]) satisfying (1.3) and , we have
where the constant C is independent of q, α, Ω, h.
Lemma 2.2. (1). Suppose that Ω ∈ Lq(Sn-1× Sm-1)(q ∈ (1,2]) satisfying (1.3) and h ∈ Δ α (α ∈ (1,2]),
(2). For p ∈ (1 + θ, (1 + θ)/θ), suppose that Ω ∈ Lq(Sn-1× Sm-1)(q ∈ (1, 2]) satisfying (1.3) and , we have
where the constant C is independent of q, α, Ω, h.
If Lemma 2.2 is proved, since θ ∈ (0, 1) is arbitrary and we choose ρ = 2q'α', then Theorem 1.2 is an immediate consequence of Lemma 2.2 immediately.
Now, we prove part (1) of Lemma 2.2. For simplicity, we let . Firstly, we have the following estimates for the measures σk,j:
for some constants c i . The equation (2.4) is the consequence of the following result:
Now, we turn to prove (2.5), note
and we define
Then, by Hölder's inequality,
while here
When εq' < 1 (indeed we set ), the integrals and are finite and independent of q and α. So we have
Since Ω satisfies the condition (1.3), we have and then equals to
The same way as above, we have equals to
Also we have equals to
Consequently, the inequality (2.5) is just the combination of (2.6), (2.7),(2.8) and (2.9).
Let , such that
and
Let as , respectively. Then, we have
where
Then, by Plancherel's theorem and (2.5), we have
where D(k, j) = {(ξ, η) : ρ-k-1≤ |ξ| ≤ ρ-k+1, ρ-j-1≤ |η| ≤ ρ-j+1}. By above estimates and Minkowski's inequality, we give the proof of part (1).
Now, we turn to prove part (2) of Lemma 2.2, take for Lemma 2.1 is granted. We let and for simplicity. We have
for some constants c i and C p . where Eqs. (2.12) and (2.13) follow (2.4) and (2.5), respectively, (2.14) is just (2.1).
Lemma 2.3. Let u ∈ (1 + θ, 2], define a number v by . Then, we have the vector-valued inequality
where c1 and C u are as in (2.4) and (2.14), respectively.
Proof. The proof is the same way as in one parameter case, and we prove it here for completeness.
Since
and
Interpolation between the above two inequalities completed the proof of the lemma.
By the Littlewood-Paley theory, we have
where p ∈ (1, ∞) and C p is independent of ρ. Suppose that . Then, we can find u ∈ (1 + θ, 2] such that . Let , by Lemma 2.3, (2.15) and (2.16), we have
Since , by interpolation, we have
Then
Since and , then we have
When p = 2, by Eq. (2.11) and , we have
By duality and interpolation, we can now finish the proof of Lemma 2.2.
Now, we give a proof of Lemma 2.1. Since ||μ*f||∞ ≤ c1A||f||∞, by taking into account an interpolation, it suffices to prove (2.1) for p ∈ (1 + θ, 2]. We recall that μk,j= |σk,j| and μ*f(x) = supk,j|μk,j* f(x)|. The following four estimates for μk,jare similar with the equations (2.4) and (2.5):
where C is independent of q, Ω, h, α. Choose positive real value functions satisfying supp(ϕ j ) ⊂ {|r| < 1} and ϕ j = 1, when . Define
and measures
So by the definition of τk,jand estimates (2.18)-(2.21), it is easy to check that τk,jsatisfies the same estimates as σk,j, i.e.,
where C is independent of q, α and Ω, h. Also we have
where
and and defined as follows:
Then, we have
where M i is the Hardy-Littlewood maximal function acting on the x i -variable and M(i)is the partial maximal function, defined as the following
Since
We let and . Since and Ω ∈ Lq(Sn-1× Sm-1), then and . By Lemma 1 of [8], the one-parameter case, we have for p > 1 + θ,
and the same way we have
On the other hand, it is easy to check,
So with (2.28)-(2.30) and (2.25), we concluded that for p ∈ (1 + θ, 2],
To prove Lemma 2.1, it suffices to prove for p ∈ (1 + θ, 2]. By a well-known property of Rademacher's function, this follows from
for p ∈ (1 + θ, 2], where with εk,j= 1 or -1, and the constant C is independent of εk,j. The estimate (2.32) is a consequence of the following lemma:
Lemma 2.4. We define a sequence by p1 = 2 and for j ≥ 1. (We note that , where , so {p j } is decreasing and converges to 1 + θ.) Then, for j ≥ 1 we have
Proof. Let
By Plancherel's theorem and the estimates (2.23), the same way as in (2.11), we have that
It follows that . If we denote by A(s) the claim of Lemma 2.4 for j = s, this proves A(1).
Now, we derive A(s + 1) from A(s) assuming that A(s) holds, which will complete the proof of Lemma 2.4 by induction. By (2.22) and (2.24), we have that
Note that A s means that . By (2.35) and (2.31) we have
By (2.36) and (2.34), we can now apply the arguments used in the proof of (2.17) to get A(s + 1). This completes the proof of Lemma 2.4.
Now, we prove the inequality (2.32) for p ∈ (1 + θ, 2]. Let be as in Lemma 2.4. Then, we have pN+1≤ p ≤ p N for some N. Thus, interpolation between the estimates of Lemma 2.4 for j = N and j = N + 1, we have (2.36). This completes the proof of Lemma 2.1.
3 Proofs of Theorem 1.1 and Corollary 1.1
Proof of Theorem 1.1: We first need to establish a suitable decomposition for Ω defined on Sn-1× Sm-1. The main technique is mainly based on Chen [18]. Define a sequence of sets {F k }(k ∈ ℕ) on Sn-1× Sm-1as:
and
We define
Then, it is easy to check that
and all Ω κ satisfies the condition (1.3), i.e.,
Furthermore, if we set , then for r ∈ (1, ∞), we have
Now, fix and a function f with , we denote . Then, by Theorem 1.2, Eqs. (3.1), (3.2) and (3.3), we have
For p = 2 and a function f with . Denote . Suppose that h ∈ Δ α (α ∈ (1, 2]) and Ω ∈ L(log L)2(Sn-1× Sm-1), with the same estimate as in (3.4), we have that
Put E1 = {(r, s) ∈ ℝ+ × ℝ+ : |h(r, s)| ≤ 2} and E m = {(r, s) ∈ ℝ+ × ℝ+ : 2m-1< |h(r, s)| ≤ 2m} for m = 2, 3, . . .. Then, by (3.5), we have
We follow the extrapolation argument of Zygmund [7]. First we note that
for m ≥ 1, where D m (h) be as in the definition of in Section 1. By (3.5) and (3.6), we have
This ends the proof of Theorem 1.1.
Proof of Corollary 1.1: Since h can be written as separate case h1(r) ⋅ h2(s), we deal (1) and (2) by the same procession. We only need to prove part (1) of the corollary. Suppose that Ω ∈ L(log L)2(Sn-1× Sm-1) and h1, h2 ∈ Δ α (ℝ+) for α ∈ (1, 2], then . By part (2) of Theorem 1.1, for p ∈ (1, ∞) we have
Suppose that and h1 ∈ Δ α (ℝ+) with . We define . Set E1 = {r ∈ ℝ+ : |h2(r)| ≤ 2} and E m = {r ∈ ℝ+ : 2m-1< |h2(r)| ≤ 2m} for m ≥ 2. Then, by (3.7), there exists a constant C, which is independent of α such that
for α ∈ (1, 2]. We note
for m ≥ 1, where d m (h) is as in Section 1. By (3.8) and (3.9), we have
which finishes the proof of the corollary.
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Acknowledgements
This work originated from the author's dissertation at Beijing normal University under the inspiring guidance of Professor Ding Y. The author would like to express their deep gratitude to the referee for his/her valuable comments and suggestions. The work was partially supported by NSF of China (Grant: 10701010), University NSR Project of Anhui Province (Grant: KJ2011A138) and Scientific Research Foundation of Anhui normal university.
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Qu, M. Estimates for the multiple singular integrals via extrapolation. J Inequal Appl 2011, 115 (2011). https://doi.org/10.1186/1029-242X-2011-115
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DOI: https://doi.org/10.1186/1029-242X-2011-115