Hindawi Publishing CorporationJournal of Inequalities and Applications Volume 2008, Article ID 141379, 25 pages doi:10.1155/2008/141379 Research Article Boundedness of Parametrized Littl
Trang 1Hindawi Publishing Corporation
Journal of Inequalities and Applications
Volume 2008, Article ID 141379, 25 pages
doi:10.1155/2008/141379
Research Article
Boundedness of Parametrized Littlewood-Paley
Operators with Nondoubling Measures
Haibo Lin 1 and Yan Meng 2
1 School of Mathematical Sciences, Beijing Normal University,
Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing 100875, China
2 School of Information, Renmin University of China, Beijing 100872, China
Received 2 April 2008; Accepted 30 July 2008
Recommended by Siegfried Carl
parametrized g λ∗functionM∗,ρ λ is bounded on L p μ for p ∈ 2, ∞ with the assumption that the
kernel of the operatorM∗,ρ λ satisfies some H ¨ormander-type condition, and is bounded from L1μ into weak L1μ with the assumption that the kernel satisfies certain slightly stronger H¨ormander-
type condition As a corollary,M∗,ρ λ with the kernel satisfying the above stronger H ¨ormander-type
condition is bounded on L p μ for p ∈ 1, 2 Moreover, the authors prove that for suitable indexes
ρ and λ,M∗,ρ λ is bounded from L∞μ into RBLOμ the space of regular bounded lower oscillation
into L1μ if the kernel satisfies the above stronger H¨ormander-type condition The corresponding
properties for the parametrized area integralMρ
Sare also established in this paper
Commons Attribution License, which permits unrestricted use, distribution, and reproduction inany medium, provided the original work is properly cited
1 Introduction
Let μ be a nonnegative Radon measure on Rd which only satisfies the following growth
condition that for all x∈ Rd and all r > 0:
μ
B x, r≤ C0r n , 1.1
where C0 and n are positive constants and n ∈ 0, d, and Bx, r is the open ball centered
at x and having radius r Such a measure μ may be nondoubling We recall that a measure
μ is said to be doubling, if there is a positive constant C such that for any x ∈ suppμ and
r > 0, μ Bx, 2r ≤ CμBx, r It is well known that the doubling condition on underlying
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measures is a key assumption in the classical theory of harmonic analysis However, inrecent years, many classical results concerning the theory of Calder ´on-Zygmund operatorsand function spaces have been proved still valid if the underlying measure is a nonnegativeRadon measure onRd which only satisfies1.1 see 1 8 The motivation for developingthe analysis with nondoubling measures and some examples of nondoubling measures can
be found in9 We only point out that the analysis with nondoubling measures played astriking role in solving the long-standing open Painlev´e’s problem by Tolsa in10
Let K be a μ-locally integrable function onRd×Rd \{x, y : x y} Assume that there exists a positive constant C such that for any x, y∈ Rd with x / y,
where ρ ∈ 0, ∞ The parametrized area integral M ρ
S and g λ∗ function M∗,ρ λ are defined,respectively, by
{y, t : y ∈ R d , t > 0 }, ρ ∈ 0, ∞, and λ ∈ 1, ∞ It is easy to verify that if μ is the d-dimensional Lebesgue measure inRd, and
K x, y Ωx − y
|x − y| d−1 1.7
withΩ homogeneous of degree zero and Ω ∈ Lipα S d−1 for some α ∈ 0, 1, then K satisfies
1.2 and 1.3 Under these conditions, Mρin1.4 is just the parametrized Marcinkiewiczintegral introduced by H ¨ormander in11, and Mρ
SandM∗,ρ λ as in1.5 and 1.6, respectively,
are the parametrized area integral and the parametrized g∗λfunction considered by Sakamotoand Yabuta in12 We point out that the study of the Littlewood-Paley operators is motivated
by their important roles in harmonic analysis and PDE13,14 Since the Littlewood-Paley
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operators of high dimension were first introduced by Stein in15, a lot of papers focus onthese operators, among them we refer to16–21 and their references
When ρ 1, the operator Mρ as in 1.4 is just the Marcinkiewicz integral withnondoubling measures in22, where the boundedness of such operator in Lebesgue spacesand Hardy spaces was established under the assumption that Mρ is bounded on L2μ.
Throughout this paper, we always assume that the parametrized Marcinkiewicz integralwith nondoubling measuresMρas in1.4 is bounded on L2μ By a similar argument in
22, it is easy to obtain the boundedness of the parametrized Marcinkiewicz integral Mρ
with ρ ∈ 0, ∞ from L1μ into weak L1μ, from the Hardy space H1μ into L1μ, and from L∞μ into RBLOμ the space of regular bounded lower oscillation functions; see
Definition 2.5 below As a corollary, it is easy to see that Mρ is bounded on L p μ with
we will prove that M∗,ρ λ as in 1.6 is bounded from H1μ into L1μ And in the last
section, the corresponding results for the parametrized area function Mρ S as in 1.5 areestablished
For a cube Q ⊂ Rd we mean a closed cube whose sides parallel to the coordinate
axes and we denote its side length by lQ and its center by x Q Let α > 1 and β > α n We
say that a cube Q is an α, β-doubling cube if μαQ ≤ βμQ, where αQ denotes the cube with the same center as Q and lαQ αlQ For definiteness, if α and β are not specified,
by a doubling cube we mean a 2, 2 d1 -doubling cube Given two cubes Q ⊂ R in R d,set
K Q,R≡ 1
N Q,R k1
where N Q,R is the smallest positive integer k such that l2 k Q ≥ lR see 23
In what follows, C denotes a positive constant that is independent of main parameters
involved but whose value may differ from line to line Constants with subscripts, such as C1,
do not change in different occurrences We denote simply by A B if there exists a positive
constant C such that A ≤ CB; and A∼B means that A B and B A For a μ-measurable set E, χ E denotes its characteristic function For any p ∈ 1, ∞, we denote by pits conjugate
index, namely, 1/p 1/p 1.
2 Boundedness ofM∗,ρ λ in Lebesgue spaces
This section is devoted to the behavior of the parametrized g λ∗ function M∗,ρ λ in Lebesguespaces
Theorem 2.1 Let K be a μ-locally integrable function on R d× Rd \ {x, y : x y} satisfying 1.2
and1.3, and let M ∗,ρ λ be as in1.6 with ρ ∈ 0, ∞ and λ ∈ 1, ∞ Then for any p ∈ 2, ∞, M ∗,ρ λ
is bounded on L p μ.
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To obtain the boundedness ofM∗,ρ λ in L p μ with p ∈ 1, 2, we introduce the following condition on the kernel K, that is, for some fixed σ > 2,
Theorem 2.2 Let K be a μ-locally integrable function on R d× Rd \ {x, y : x y} satisfying 1.2
and2.1, and let M ∗,ρ λ be as in1.6 with ρ ∈ n/2, ∞ and λ ∈ 2, ∞ Then M ∗,ρ λ is bounded from
L1μ into weak L1μ, namely, there exists a positive constant C such that for any β > 0 and any
f ∈ L1μ,
μ x∈ Rd :M∗,ρ λ fx > β≤ C
β f L1μ 2.2
By the Marcinkiewicz interpolation theorem, and Theorems 2.1 and 2.2, we can
immediately obtain the L p μ-boundedness of the operator M ∗,ρ λ for p ∈ 1, 2.
Corollary 2.3 Under the same assumption of Theorem 2.2 ,M∗,ρ λ is bounded on L p μ for any p ∈
1, 2.
Remark 2.4 We point out that it is still unclear if condition 2.1 in Theorem 2.2 and
Corollary 2.3can be weakened
Now we turn to discuss the property of the operator M∗,ρ λ in L∞μ To this end,
we need to recall the definition of the space RBLOμ the space of regular bounded loweroscillation functions
Definition 2.5 Let η ∈ 1, ∞ A μ-locally integrable function f on R dis said to be in the spaceRBLOμ if there exists a positive constant C such that for any η, ηd1 -doubling cube Q,
m Q f − ess inf
x∈Q f x ≤ C, 2.3and for any twoη, η d1 -doubling cubes Q ⊂ R,
cubes with η ∈ 1, ∞ in the definition of RBLOμ Moreover, it was proved in 25 that the
definition is independent of the choices of the constant η ∈ 1, ∞ The space RBLOμ is a
subspace of RBMOμ which was introduced by Tolsa in 23
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Theorem 2.7 Let K be a μ-locally integrable function on R d× Rd \ {x, y : x y} satisfying
1.2 and 1.3, and let M ∗,ρ λ be as in1.6 with ρ ∈ 0, ∞ and λ ∈ 1, ∞ Then for any f ∈ L∞μ,
M∗,ρ λ f is either infinite everywhere or finite almost everywhere More precisely, if M ∗,ρ λ f is finite
at some point x0∈ Rd , thenM∗,ρ λ f is finite almost everywhere and
M∗,ρ
where the positive constant C is independent of f.
We point out thatTheorem 2.7is also new even when μ is the d-dimensional Lebesgue
measure onRd
In the rest part ofSection 2, we will prove Theorems2.1,2.2, and2.7, respectively ToproveTheorem 2.1, we first recall some basic facts and establish a technical lemma For η > 1, let M ηbe the noncentered maximal operator defined by
Lemma 2.8 Let K be a μ-locally integrable function on R d × Rd \ {x, y : x y} satisfying
1.2 and 1.3, and η ∈ 1, ∞ Let M ρ be as in1.4 and M ∗,ρ λ be as in1.6 with ρ ∈ 0, ∞ and
λ ∈ 1, ∞ Then for any nonnegative function φ, there exists a positive constant C such that for all
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For any fixed y∈ Rd and t > 0, write
Combining the estimates for E1and E2yields2.9, which completes the proof ofLemma 2.8
Proof of Theorem 2.1 For the case of p 2, choosing φx 1 inLemma 2.8, then we easilyobtain that
holds in this case
For the case of p ∈ 2, ∞, let q be the index conjugate to p/2 Then fromLemma 2.8
and the H ¨older inequality, it follows that
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To proveTheorem 2.2, we need the following Calder ´on-Zygmund decomposition withnondoubling measuressee 23 or 26
Lemma 2.9 Let p ∈ 1, ∞ For any f ∈ L p μ and λ > 0 (λ> 2 d1 f L1μ / μ if μ < ∞), one
has the following.
a There exists a family of almost disjoint cubes {Q j}j (i.e.,
Remark 2.10 From the proof of the Calder ´on-Zygmund decomposition with nondoubling
measures see 23 or 26, it is easy to see that if we replace R j with Rj, the smallest
6√d,6√dn1-doubling cube of the form 6√dk Q j k ∈ N, the above conclusions a and
b still hold Here and hereafter, when we mention R jinLemma 2.9we always mean Rj
Proof of Theorem 2.2 Let f ∈ L1μ and β> 2 d1 f L1μ / μ note that if 0 < β ≤
2d1 f L1μ / μ, the estimate 2.2 obviously holds ApplyingLemma 2.9to f at the level β,
where ω j , ϕ j , Q j , and R jare the same as inLemma 2.9 It is easy to see thatg L∞μ β and
g L1μ f L1μ By the boundedness ofM∗,ρ λ in L2μ, we easily obtain that
μ x∈ Rd :M∗,ρ λ gx > β≤ β−2M∗,ρ
λ g2
L2μ β−1f L1μ 2.20
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Froma ofLemma 2.9, it follows that
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It is easy to see that for any x∈ Rd \R∗
j , y ∈ 4R jwith|y−x| < t and z ∈ R j,|x−x Q j|−2√dl R j ≤
|x − y| < t and |y − z| < 4√dl R j This fact along the Minkowski inequality and 1.2 leads to
Notice that for any z ∈ R j , x ∈ Rd \ R∗
j and y ∈ Rd \ 4R j,|y − z|∼|y − x Q j |, and |x − x Q j | <
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On the other hand, it is easy to verify that for any y∈ Rd \ 4R j and t > |y − x Q j| 2√dl R j,
R j ⊂ {z : |y − z| ≤ t} and |x − x Q j | < 2t Choose 0 < < min{1/2, λ − 2n/2, ρ − n/2, σ/2 − 1}
we always take to satisfy this restriction in our proof The vanishing moment of b j on R j
and the Minkowski inequality give us that
t/l
R j22
logy − x Q
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where C 8√de 22/ Note that for any y ∈ Rd \ B j and z ∈ R jwith|y − z| ≤ t ≤ |y − x|,
then|y − z|∼|y − x Q j | and |y − x Q j | ≤ t √dl R j Consequently,
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A trivial computation involving the fact that|x − y| > |x − x Q j |/2 for any x ∈ R d \ R∗
R j ⊂ {z : |y − z| ≤ t} and t |x − y| ≥ |x − x Q j | C l R j Thus, from the vanishing moment of
b j on R j , it follows that
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|y−x|
|y−x Qj |C lR j
log
L3b j
L1μ 2.41Combining the estimates for L1, L2, and L3yields that
which along with the estimates for F1and F2leads to2.24
Now we turn to prove the estimate2.25 Observe that if supp h ⊂ I for some cube
I, then by1.2, we have that for any s > 1 and any x ∈ R d \ sI,
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As for M2z, notice that for any x, y, z ∈ R d satisfying |y − x| < t and 2|y − z| ≤ |x − z|,
|x − z|/2 < t From this fact and ρ ∈ n/2, ∞, it follows that for any x ∈ R d \ sI and z ∈ I,
To estimate M3z, we first have that for any x, y, z ∈ R dsatisfying 2|y − z| ≤ |x − z|, 2|y − x| ≥
|x − z|, and |y − x| ≤ 3|x − z|/2 Consequently, for any x ∈ R d \ sI and z ∈ I,
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This fact together with2.48 tells us that
m Q
M∗,ρ λ f− m R
M∗,ρ λ f K Q,R f L∞μ 2.53
We first verify2.52 For each fixed cube Q, let B be the smallest ball which contains
Q and has the same center as Q Denote by r the radius of B Decompose f as
f x fxχ 8B x fxχRd \8B x ≡ f1x f2x, 2.54and write
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x∈QM∗,ρ λ,∞
Obviously, for any x ∈ Q, z ∈ 8B, and y ∈ R d with |x− y| > 16r, |x− y|∼|y − z| Some
computation involving this fact and1.2 yields that
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Thus, the proof of the estimate2.52 can be reduced to proving that for any x, x∈ Q,
M∗,ρ λ,∞
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Now we prove thatM∗,ρ λ f satisfies 2.53 Let Q ⊂ R be any two 16√d,16√dd1
-doubling cubes Set N ≡ N Q,R 1 For any x ∈ Q and any y ∈ R, write
The Minkowski inequality involving the fact that for any y ∈ 2k−1 Q and z ∈ 2k1 Q\ 2k Q,
|y − z|∼|z − x Q | and t ≥ |y − z| ≥ 2 k−2 l Q gives us that
V1 f L∞μ
N Q,R k2
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To estimate V3, we first have that for any x ∈ Q, z ∈ 2 k1 Q\ 2k Q, and y ∈ Rd \ 2k2 Q,
|y − x Q |∼|y − x|∼|y − z| and |z − x Q| 2k l Q This fact and the Minkowski inequality state
that
V3 f L∞μ
N Q,R k2
then Theorems 2.2 and 2.7 still hold Therefore, applying the interpolation theorem see
23, Theorem 7.1 between the endpoint estimates that M∗,ρ λ is bounded from L∞μ into
RBLOμ, which is a subspace of RBMOμ, and the boundedness of M∗,ρ λ in L2μ, we can
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obtain thatM∗,ρ λ as in1.6 is bounded on L p μ for p ∈ 2, ∞ with the kernel satisfies 1.2and1.3 On the other hand, it follows from the Marcinkiewicz interpolation theorem that
M∗,ρ λ as in1.6 is also bounded on L p μ for p ∈ 1, 2 with the kernel satisfying 1.2 and
2.1
3 Boundedness ofM∗,ρ λ in Hardy spaces
In this section, we will prove that the operatorM∗,ρ λ as in1.6 is bounded from H1μ into
L1μ To state our result, we first recall the definition of the space H1μ via the “grand”
maximal function characterization of Tolsasee 29
ii 0 ≤ ϕy ≤ 1/|y − x| n for all y∈ Rd,
iii |∇ϕy| ≤ 1/|y − x| n1 for all y∈ Rd
Definition 3.2 The Hardy space H1μ is defined to be the set of all functions f ∈ L1μ
satisfying that+
Rd f dμ 0 and MΦf ∈ L1μ Moreover, we define the norm of f ∈ H1μ by
f H1μ ≡ f L1μMΦf
L1μ 3.2
Theorem 3.3 Let K be a μ-locally integrable function on R d× Rd \ {x, y : x y} satisfying 1.2
and2.1, and M ∗,ρ λ be as in1.6 with ρ ∈ n/2, ∞ and λ ∈ 2, ∞ Then, M ∗,ρ λ is bounded from
H1μ into L1μ.
We begin with the proof of Theorem 3.3with the atomic characterization of H1μ
established by Tolsa in23
Definition 3.4 Let η ∈ 1, ∞ and p ∈ 1, ∞ A function b ∈ L1
locμ is called to be an atomic
A function f ∈ L1μ is said to belong to the space H 1,p
atbμ if there exist atomic blocks b i such that f ≡ ∞
i1 b i with
i |b i|H 1,p
atbμ < ∞ The H 1,p
atbμ norm of f is defined by
f H 1,p μ≡ infi |b i|H 1,p μ, where the infimum is taken over all the possible decompositions
of f in atomic blocks.
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This fact together with 2.48 tells us that