• No results found

Weighted estimates for vector valued multilinear square function

N/A
N/A
Protected

Academic year: 2020

Share "Weighted estimates for vector valued multilinear square function"

Copied!
17
0
0

Loading.... (view fulltext now)

Full text

(1)

R E S E A R C H

Open Access

Weighted estimates for vector-valued

multilinear square function

Wenjuan Li and Manli Song

*

*Correspondence: [email protected] School of Natural and Applied Sciences, Northwest Polytechnical University, Xi’an, Shaanxi 710129, People’s Republic of China

Abstract

LetTbe the multilinear square operator, respectively with certain smooth kernels and non-smooth kernels defined in (Xue and Yan in J. Math. Anal. Appl. 422:1342-1362, 2015) and (Hormoziet al.in arXiv preprint, 2015), and letT∗be its corresponding maximal operator. In this paper, we prove the vector-valued weighted norm boundedness forTandT∗and also establish multiple weighted inequalities for their corresponding iterated commutator generated by the vector-valued multilinear operator and BMO function.

MSC: Primary 42B20; secondary 42B25; 47G10

Keywords: multilinear square function; vector-valued; weighted estimates; commutators

1 Introduction

The importance of the multilinear Littlewood-Paleyg-function and related multilinear Littlewood-Paley type estimates was shown in PDE and other fields, one can see the works by Coifmanet al.[, ], David and Journe [], and also by Fabeset al.[–]. Moreover, a class of multilinear square functions was considered in [], which was used for Kato’s problem.

Recently, Xueet al.[] introduced the multilinear-Paleyg-function with a convolution-type kernel in the following way:

g(f)(x) =

tmn

(Rn)m

ψ

y

t, . . . , ym

t m

j=

fj(xyj)dy

dt t

/ ,

and obtained the strongLp(ω

)× · · · ×Lpm(ωm) toLp(vω) boundedness and the weak type

results. Later, Xue and Yan [] studied a class of multilinear square functions associated with the following more general non-convolution-type kernels.

Definition (Integral smooth condition of C-Z type I) (see []) For anyv∈(,∞), let

Kv(x,y, . . . ,ym) be a locally integrable function defined away from the diagonalx=y= · · ·=ymin (Rn)m+and denotey= (y, . . . ,ym). We say thatKvsatisfies the integral

condi-tion of C-Z type I, if for some positive constantsγ,A, andB> , the following inequalities

(2)

hold:

Kv(x,y)

/

dv v

A

( mj=|xyj|)mn

, (.)

Kv(z,y) –Kv(x,y)dv

v /

A|zx|γ

( mj=|xyj|)mn+γ, (.)

whenever|zx| ≤ Bmaxmj=|xyj|; and

Kv(x,y) –Kvx,y, . . . ,yi, . . . ,ym

dv

v /

A|yiyi|γ

( mj=|xyj|)mn+γ

(.)

for anyi∈ {, . . . ,m}, whenever|yiyi| ≤B|xyi|.

We define the multilinear square functionTby

T(f)(x) =

(Rn)m

Kv(x,y, . . . ,ym) m

j=

fj(yj)dy

dv v

/

(.)

for anyf = (f, . . . ,fm)∈S(Rn)× · · · ×S(Rn) and for allx∈/ m

j=suppfj.

In order to state their results, we first give the definition of multiple weightsAp.

Definition (Multiple weights) (see []) Let ≤p, . . . ,pm<∞, and p =p +· · ·+pm. For anyω= (ω, . . . ,ωm), denote=

m i=ω

p/pi

i . If

sup B

 |B|

B

/p m

i=

 |B|

B ω–pi

i /pi

<∞ (.)

holds, we say thatωsatisfies theAp condition. Specially, whenpi= , (|B|

–pi i )/p

i is

understood as (infBωi)–.

We will need the easy fact: if eachωjApj, thenjm=ApjAp.

In [], the multilinear maximal operatorMwas defined by

M(f)(x) =sup x∈Q

m

i=  |Q|

Q

fi(yi)dyi, (.)

where the supremum is taken over all cubesQcontainingx. The easy fact is thatM(f)(x)≤

m

i=Mfi(x), whereMis the Hardy-Littlewood maximal operator.

Theorem A(see []) Let T be the multilinear square operator defined in(.)with the

kernel satisfying the integral smooth condition of C-Z typeI.Let <p,p, . . . ,pm<∞and

p=

p+· · ·+ 

pm.Ifωsatisfies the Apcondition,there exists a constant C such that

T(f)Lp(v

ω)≤C

m

i=

(3)

Theorem B(see []) Let T be the operator defined in(.)with the kernel satisfying the integral smooth condition of C-Z typeI.Let <δ< /m,the following inequality holds:

MδT(f)(x)≤CM(f)(x) (.)

for any bounded and compact supported functions fi,i= , . . . ,m.

In order to extend it to a more general case, we recall a class of integral operators{At}t> defined in [], where the operatorsAtassociated with the kernelsat(x,y) are defined by

Atf(x) =

Rnat(x,y)f(y)dy

for every functionfLp(Rn), p≤ ∞, anda

t(x,y) satisfies the following size condition:

at(x,y)≤ht(x,y) :=tn/sh |

xy| t/s

for a fixed constants> , (.)

wherehis a positive, bounded, decreasing function satisfying

lim r→r

n+η

hrs=  (.)

for someη> . The above conditions indicate that for someC>  and all  <ηη, the kernelsat(x,y) satisfy

at(x,y)≤Ctn/s +t–/s|xy|–nη.

Assumption (H) Assume that for eachi= , . . . ,m, there exist operators{A(ti)}t> with kernelsa(ti)(x,y) satisfying conditions (.) and (.) with constantssandηand that for

everyi= , . . . ,m, there exist kernelsKt(,iv)such that

Tf, . . . ,A(ti)fi, . . . ,fm

,g

=

Rn

(Rn)mK

(i)

t,v(x,y, . . . ,ym)

m

i=

fi(yi)dy

dv v

/

g(x)dx (.)

for all Schwartz functionsf, . . . ,fm,gwith

m

k=suppfk∩suppg=∅.

There exists a functionφC(R) withsuppφ∈[–, ] and a constant >  so that, for everyi= , . . . ,m, we have

Kv(x,y) –Kt(,iv)(x,y)

dv

v /

A

( mj=|xyj|)mn m

k=,k=i φ

|yiyk| t/s

+ At

/s

( mj=|xyj|)mn+ , (.)

(4)

Assumption (H) Assume that there exist operators{At}t>with kernelsat(x,y) that sat-isfy conditions (.) and (.) with constants sandη, and there exist kernelsKt(),v(x,y)

such that

Kt(),v(x,y) =

RnKv(z,y)at(x,z)dz (.)

makes sense for all (x,y)∈(Rn)m+ andt> . Assume also that there exists a function

φC(R) andsuppφ⊂[–, ] and a constant >  such that

Kt(),v(x,y)

dv

v /

A

( mk=|xyk|)mn

, (.)

whenever t/smin

≤j≤m|xyj|and

Kv(x,y) –Kt(),v(x,y)

dv

v /

A

( mj=|xyj|)mn m

k=,k=i φ

| xyk|

t/s

+ At

/s

( mj=|xyj|)mn+ (.)

for someA> , whenever t/smax

≤j≤m|xyj|.

Assumption (H) Assume that there exist operators{At}t>with kernelsat(x,y) that sat-isfy condition (.) and (.) with constantsandη. Also assume that there exist kernels

Kt(),v satisfying (.) and positive constantsAand such that

Kt(),v(x,y) –Kt(),vx,ydv v

/

At/s

( mj=|xyj|)mn+ , (.)

whenever t/smin

≤j≤m|xyj|and |xx| ≤t/s.

We say that the kernelsKvgeneralized the square function kernels if they satisfy (.), (.), and (.) with parameters m,A, s,η, , and we denote their collection by m

GSFK(A,s,η, ). We say thatTis of classm–GSFO(A,s,η, ) ifThas an associated kernel

Kvinm–GSFK(A,s,η, ).

Theorem C(see []) Let T be a multilinear operator in m–GSFO(A,s,η, )with a kernel satisfying Assumptions(H)and(H).For <p, . . . ,pm<∞,p≥withp=p+· · ·+pm,

ωAp,the following inequality holds:

T(f)Lp(ω)C

m

i=

fi Lpi(ω). (.)

Theorem D(see []) Let <δ< /m and T be a multilinear operator in m–GSFO(A,s,

η, )with a kernel satisfying Assumptions(H)and(H).Then there exists a constant C such that

MδT(f)(x)≤C

m

j=

Mfj(x) (.)

(5)

Moreover,the corresponding multilinear maximal square function Tis defined by

T∗(f)(x) =sup

δ>

m

i=|x–yi|>δ

Kv(x,y)

m

k=

fj(yj)dy

dv v

/

. (.)

Theorem E(see []) Let T be a multilinear operator in m–GSFO(A,s,η, )with a kernel

satisfying Assumptions(H)and(H).For <p, . . . ,pm<∞,p≥withp=p+· · ·+pm,

ωAp,the following inequality holds:

T(f)

Lp(ω)C

m

i=

fi Lpi(ω). (.)

Theorem F(see []) Let T be a multilinear operator in m–GSFO(A,s,η, )with a kernel

satisfying Assumptions(H)and(H).For anyη> ,there is a constant C<∞depending onηsuch that the following inequality holds:

T∗(f)(x)≤C

MηT(f)(x) +

m

j=

Mfj(x)

, ∀x∈Rn (.)

for allf in any product of Lqj(Rn)spaces,withqj<∞.

2 Main results

In this section, we first list some results about vector-valued multilinear operatorTqand the corresponding vector-valued maximal multilinear operatorTq∗which are defined, re-spectively, by

Tq(f)(x) =T(f)(x)q=

k=

T(fk, . . . ,fmk)(x)q /q

, (.)

Tq∗(f)(x) =T∗(f)(x)q=

k=

T(f

k, . . . ,fmk)(x) q

/q

, (.)

wheref = (f, . . . ,fm) withfi={fik}∞k=.

Theorem  Assume that T is a multilinear square operator defined in(.)with the kernel

satisfying the integral condition of C-Z typeI.Let <p,p, . . . ,pm<∞,  <q,q, . . . ,qm< ∞, and /m<p,q<∞ with p = p

 +· · ·+ 

pm,

q =

q +· · ·+ 

qm. If (ω

p  , . . . ,ω

pm

m )∈

(Ap, . . . ,Apm),the following inequality holds:

Tq(f)Lp(m j=ω

p j)≤C

m

j=

fj qj

Lpj(ωpjj ). (.)

Theorem  Assume that T is a multilinear square operator defined in(.)with the kernel

satisfying the integral condition of C-Z typeI.Let≤p,p, . . . ,pm<∞,  <q,q, . . . ,qm<

∞,and <p,q<∞withp =p  +· · ·+

pm,

q=

q+· · ·+ 

(6)

(i) If≤p,p, . . . ,pm<∞andωAp∩ · · · ∩Apm,there exists a constantC> such

that

Tq(f)Lp(ω)C

m

j=

fj qjLpj(ω). (.)

(ii) If at least onepj= andωA,there exists a constantC> such that

Tq(f)Lp,∞(ω)C m

j=

fj qjLpj(ω). (.)

Next, we show the results for the multilinear square operatorT with non-smooth ker-nels and its corresponding maximal operator T∗. Meanwhile, we also establish multi-ple weighted inequalities for their corresponding iterated commutator generated by the vector-valued multilinear operator and BMO function. We will state our results as follows.

Theorem  Let T be a multilinear operator in m–GSFO(A,s,η, )with a kernel satisfying Assumptions(H)and(H).Let <p,p, . . . ,pm<∞,  <q,q, . . . ,qm <∞and/m< p,q<∞with p =p

 +· · ·+ 

pm,

q=

q +· · ·+ 

qm.If(ω

p  , . . . ,ω

pm

m )∈(Ap, . . . ,Apm),there

exists a constant C> such that

Tq(f)Lp(m j=ω

p j)≤C

m

j=

fj qjLpj(ωpj j )

. (.)

A similar estimate also holds true for the corresponding maximal operator T∗.

Theorem  Let T be a multilinear operator in m–GSFO(A,s,η, )with a kernel satisfying Assumptions(H)and(H).Let≤p,p, . . . ,pm<∞,  <q,q, . . . ,qm<∞and <p,q<

withp =p  +· · ·+

pm,

q =

q+· · ·+ 

qm.

(i) If≤p,p, . . . ,pm<∞andωAp∩ · · · ∩Apm,the following inequality holds:

Tq(f)Lp(ω)C

m

j=

fj qjLpj(ω). (.)

(ii) If at least onepj= andωA,the following inequality holds:

Tq(f)Lp,∞(ω)≤C

m

j=

fj qjLpj(ω). (.)

Similar estimates also hold true for the corresponding maximal operators T∗.

The commutator associated withTis given by

Tb(f)(x) =

b,

b, . . .

b–, [b,T]

–· · ·

(f)(x)

=

(Rn)m

j=

bj(x) –bj(y)K(x,y, . . . ,ym)

m

i=

fi(yi)dy,

(7)

For simplicity of notation, for the sequence{fk}∞k=={fk, . . . ,fmk}∞k=of vector functions, the commutator associated with a vector-valuedTqcan be defined by

Tb,q(f)(x) =Tb(f)(x)q =

k=

Tb(fk)(x) q

/q

. (.)

Theorem  Assume that T is a multilinear operator in m–GSFO(A,s,η, )with kernel sat-isfying Assumptions(H)and(H).Let/m<p<∞, 

p=

p+· · ·+ 

pm with <p, . . . ,pm<

∞, /m<q<∞,andq=q  +· · ·+

qm with <q, . . . ,qm<∞.Suppose thatωApand

b∈(BMO).

(i) There exists a constantC> such that

Tb,q(f)Lp(vω)

j=

bj BMO m

j=

f qjLpj(Mωj). (.)

(ii) IfωjApj,there exists a constantC> such that

Tb,q(f)Lp(vω)

j=

bj BMO m

j=

f qjLpj(ωj). (.)

3 The proof of Theorem 3

Since ωjApj, by the previous statement,

m j=ω

pj

jAp. Writing =

m j=(ω

pj

j )p/pj = m

j=ω

p

j, Theorem A implies that

T(f)Lp(m j=ω

p j)≤C

m

j=

fj Lpjωjpj. (.)

We will apply the following lemma to get the desirable result.

Lemma (see []) LetT be an m-linear operator,and let <s, . . . ,sm<∞and/m<s< ∞be fixed indices such that

s=

s+· · ·+ 

sm.For(ω

s

, . . . ,ωsmm)∈(As, . . . ,Asm),the following

estimate holds:

T(f)Ls(m j=ωsj)

m

j=

fj Lsj

ωjsj. (.)

Then, for all indices,  <p, . . . ,pm <∞ and /m<p<∞ satisfy p = p +· · ·+ pm,  <q, . . . ,qm<∞,and/m<q<∞such thatq =q +· · ·+qm,and all(ωp, . . . ,ω

pm

m )∈

(Ap, . . . ,Apm).Then the following inequality holds:

Tq(f)Lp(m j=ω

p j)≤C

m

j=

fj qj

Lpj(ωpjj ). (.)

4 The proof of Theorem 5

(8)

Lemma (see []) Let <p,δ<∞andωbe any Mockenhaupt Aweight.Then there exists a constant C independent of f such that the inequality

Rn

Mδf(x)

p

ω(x)dxC

Rn

Mδf(x)

p

ω(x)dx, (.)

holds for any function f for which the left-hand side is finite.

Lemma (see []) For(ω, . . . ,ωm)∈(Ap, . . . ,Apm)with≤p, . . . ,pm<∞and for <

θ, . . . ,θm< such thatθ+· · ·+θm= ,we haveωθ· · ·ω θ

 ∈Amax{p,...,pm}.

Note that (ωp  , . . . ,ω

pm

m ) ∈ (Ap, . . . ,Apm), and Lemma  indicates that

m j=ω

p j = m

j=(ω

pj

j )p/pjAmax{p,...,pm}⊂A∞.

Exploiting Lemma . in [] and the standard argument, we obtain MδT(f) Lp(m j=ω

p j)<

∞. Together with Theorem D, we have

T(f)Lp(m j=ω

p j)≤

MδT(f)Lp(m j=ω

p j)

CMδT(f)Lp(m j=ω

p j)

C

m

j=

Mfj

Lp(m j=ω

p j)

C m

j=

Mfj Lpj(ωpjj )

C m

j=

fj Lpj(ωpjj ).

By Lemma , we finish the proof of Theorem .

The estimate forT∗will follow from Lemma , Theorem F, and the following argument:

T∗(f)Lp(m j=ω

p j)≤C

MηT(f)Lp(m j=ω

p j)+

m

j=

Mfj

Lp(m j=ω

p j)

C

MT(f)ηη

L

p

η(m j=ω

p j)

+

m

j=

Mfj

Lp(m j=ω

p j)

C

T(f)ηη

L

p

η(m j=ω

p j)

+

m

j=

Mfj

Lp(m j=ω

p j)

C

T(f)Lp(m j=ω

p j)+

m

j=

Mfj

Lp(m j=ω

p j)

C

m

j=

Mfj

Lp(m j=ω

p j)

. (.)

5 The proofs of Theorem 4 and Theorem 6

(9)

LetFdenote a family of ordered pairs of non-negative, measurable functions (f,g), if we say that for somep,  <p<∞, andωA∞,

Rnf(x)

pω(x)dxC

Rng(x)

pω(x)dx, (.)

and we denote it by (f,g)∈F.

Lemma (see []) Given a familyF,suppose that for some p,  <p<∞,and for every

weightωA∞, (f,g)∈F.Then we have,for all <p,q<∞andωA∞,

k

(fk)q

/q

Lp(ω)

C k

(gk)q

/q

Lp(ω)

, (fk,gk)kF. (.)

For all <p,q<∞,  <s≤ ∞,andωA∞,

k

(fk)q

/q

Lp,s(ω)

C k

(gk)q

/q

Lp,s(ω)

, (fk,gk)kF. (.)

Lemma (see [])

(i) Let <q<∞and≤p<∞,there is a constantCr,psuch that

k

Mfk(x)q

/q

Lp,∞(ω)Cq,p

k fk(x)q

/q

Lp(ω)

(.)

if and only ifωAp.

(ii) Let <q<∞and <p<∞,there is a constantCq,psuch that

k

Mfk(x)q

/q

Lp(ω)

Cq,p

k fk(x)q

/q

Lp(ω)

(.)

if and only ifωAp.

By Theorem B, Theorem D, and Theorem F, together with the argument from Section  and (.), we have

T(f)Lp(ω)C

m

j=

Mfj

Lp(ω)

. (.)

HereT can be replaced byTandT∗which are from Theorem  and Theorem . We apply Lemma  to (T(f),mj=Mfj)∈F, and by Lemma  we get the desirable re-sults.

6 The proof of Theorem 7

In order to prove Theorem , first we will list some notations and lemmas:

M f q(x) :=sup

x∈Q m

j=  |Q|

Q

(10)

ML(logL)

f q(x) :=sup

x∈Q m

j=

fj qjL(logL),Q, (.)

f q(x)

:=sup x∈Q

ν=

–νn

j∈ρ  |Q|

Q

fj(yj)qjdyj

j∈ρ  |νQ|

νQ

fj(yj)qjdyj, (.)

whereρ={j, . . . ,j} ⊂ {, . . . ,m}, ≤<mandρ={, . . . ,m}\ρ.

Lemma (see []) Let <p, . . . ,pm<∞,p=p+· · ·+pm,P= (p, . . . ,pm),ωAP,and ρ={j, . . . ,j} ⊂ {, . . . ,m}, ≤<m.ThenM,ML(logL),Mρare bounded from Lp(ω)× · · · ×Lpm(ω

m)to Lp(vω).

Lemma  Let T be a multilinear operator in m–GSFO(A,s,η, )with kernel satisfying Assumptions(H)and(H).Assume that≤<m,ρ={j, . . . ,j},and/m<q<∞, ≤

q, . . . ,qm<∞withq=q+· · ·+qm.Then there exists a constant C> such that

MδTq(f)(x)≤C

M f q(x) +Mρ f q(x). (.)

Proof For a pointxand a cubeQx, to obtain (.), it suffices to prove for  <δ< /m,

 |Q|

Q

T(f)(z) –qdz

/δ

CM f q(x) +Mρ f q(x) (.)

for some constantcto be determined later.

Writefk=fk+fk∞, where{fk}∞k=={fkχQ∗}∞k=={fkχQ∗, . . . ,fmkχQ∗}andQ∗= (

n+)Q. Letc= α,...,αmT(f

α)(x) and in the sum eachα

j=  or∞and in each term there is at least

oneαj=∞. Then

 |Q|

Q

T(f)(z) –qdz

/δ

C

 |Q|

Q

Tqf(z)δdz /δ

+C

α,...,αm

 |Q|

Q

Tfα(z) –Tfα(x)δ qdz

/δ

:=I+ α,...,αm

IIα,...,αm,

where in each term of the last sum there is at least oneαj=∞.

Kolmogorov’s inequality and Theorem  implies that

ICTqfL/m,∞(Q,dz

|Q|)

C m

j=  |Q|

Q

fj(z)qjdz

(11)

We proceed to the estimate forIIα,...,αm. Here we chooset= [

n(Q)]s. Ifα

=· · ·αm=

∞, we have

II∞,...,∞≤

C

|Q|

Q

Tfα(z) –Tfα(x)qdz

|C

Q| Q k=

Tfk∞(z) –Tfk∞(x)q

/q dz

|C

Q| Q k= ∞ 

(Rn\Q)m

Kv(z,y) –Kv(x,y) m

j=

fjk(yj)dydv v

q//q dz,

applying Minkowski’s inequality, we get

C

|Q| Q k= ∞ 

(Rn\Q)m

Kv(z,y) –Kv(x,y) m

j=

fjk(yj)dydv v

q//q dz

C |Q|

Q k=

(Rn\Q)m

Kv(z,y) –Kv(x,y)dv

v

/m

j=

fjk(yj)dy

q/q

dz

|C

Q| Q k=

(Rn\Q)m

Kv(z,y) –Kt(),v(z,y)

dv

v /m

j=

fjk(yj)dy

q/q dz

+ C |Q|

Q k=

(Rn\Q)m

Kt(),v(z,y) –Kt(),v(x,y)

dv v / × m j=

fjk(yj)dy

q/q

dz

+ C |Q|

Q k=

(Rn\Q)m

Kt(),v(x,y) –Kv(x,y)

dv

v /m

j=

fjk(yj)dy

q/q dz

:=II,...,+II,...,+II,...,.

Because ofzQandyj∈Rn\(√n+ )Q, we obtain|yjz|> (√n+ )(Q) > t/sfor allj= , . . . ,m. Assumption (H) gives

II,...,C

|Q|

Q

(Rn\Q)m

At/s

( mj=|zyj|)mn+

m

j=

fj(yj)qjdy dz

≤ ∞ k=  k m j=  (k+)n|Q|

k+Qfj(yj)qjdyj

CM f q(x).

Sincex,zQ,|zx| ≤√n(Q)≤/t/s. Noting that|yjz|> (√n+ )(Q) > t/sfor allj= , . . . ,m, applying Assumption (H) and a similar argument toII, we haveII,...,CM( f q)(x). Similarly, we also getII

(12)

Now let us consider the typical case ofIIα,...,αm, that is,α=· · ·=αh=∞andαh+=· · ·=

αm= , ≤h<m,

II∞,...,≤

C

|Q|

Q

k=

(Rn)m

Kv(z,y) –Kt(),v(z,y)

dv

v /

×

h

j=

fjkm

j=h+

fjkdy

q/q

dz

+ C |Q|

Q

k=

(Rn)m

K()

t,v(z,y) –K

()

t,v(x,y)

dv

v /

×

h

j=

fjkm

j=h+

fjkdy

q/q dz

+ C |Q|

Q

k=

(Rn)m

Kt(),v(x,y) –Kv(x,y)

dv

v /

×

h

j=

fjkm

j=h+

fjkdy

q/q

dz

:=II,...,+II,...,+II,...,.

ForII

∞,...,, by Assumption (H), we have

II,...,C

|Q|

Q

(Rn\Q)h

At/sh

j= fj qjdyj ( mj∈{,...,h}|zyj|)mn+

+

(Rn\Q)h

Ahj= fj qjdyj

( mj∈{,...,h}|zyj|)mn m

j=h+

Q

fj qjdyjdz

k=

A|Q∗| /n

(k|Q∗|/n)mn+

(kQ)h

h

j=

fj qjdyj

+

k=

A

(k|Q∗|/n)mn

(kQ)h

h

j=

fj qjdyj m

j=h+

Q

fj qjdyj

C

k=

m

j=  k

 (k+|Q|/n)n

k+Qfj qjdyj

+C

k=  kn(mh)

m

j=h+  |Q∗|

Q

fj qjdyj

×

h

j=  (k+|Q|/n)n

k+Qfj qjdyj

CM f q(x) +Mρ f q(x).

By a similar argument, we deduce that II,...,CM( f q)(x) +Mρ( f q)(x) and

(13)

Given any positive integerm,∀≤jm, letCjm denote the family of all finite subset

σ={σ(), . . . ,σ(j)}ofjdifferent elements. For anyσCjmwe associate the complementary sequenceσgiven byσ={, , . . . ,m}\σ.

Lemma  Let <δ< < /m, /m<q<∞,andq=q +· · ·+

qm with <q, . . . ,qm<∞.

Suppose thatb∈(BMO).Then there exists a constant C> depending only onδ and

such that

(Tb,qf)(x)≤C

j=

bj BMO

ML(logL) f q(x) +MTq(f)(x)

+C

–

i=

σ∈C

i

Ci,

j∈σ

bj BMOM(Tbσ,qf)(x) (.)

for any smooth vector function{fk}∞k=for any x∈Rn.

Proof For simplicity of notation, we replacemj=fj(yj) byF(y) and letλj=|Q|

Qbj(z)dz,

forj= , . . . ,. Letx∈RnandQbe a cube centered atx. We have

Tb(f)(x) =

(Rn)m

j=

bj(x) –bj(yj)

Kv(x,y)F(y)dy

dv v

/

=

(Rn)m

j=

bj(x) –λj

bj(yj) –λj

Kv(x,y)F(y)dy

dv v

/

i=

σ∈Ci

j∈σ

bj(x) –λj

×

(Rn)m

j∈σ

bj(yj) –λjKv(x,y)F(y)dy

dv v

/

=

j=

bj(x) –λjT(f)(x) +T

j=

bjj) –λj

f

(x)

+ –

i=

σ∈Ci

j∈σ

bj(x) –λj

×

(Rn)m

j∈σ

bj(yj) –λj

Kv(x,y)F(y)dy

dvv /.

Noting thatbj(yj) –λj= (bj(yj) –bj(x)) + (bj(x) –λj), we get

Tb,q(f)(z) =

j=

bj(z) –λjTq(f)(z) +Tq

j=

bjj) –λj

f

(z)

+ –

i=

σ∈Ci

Ci,

j∈σ

bj(z) –λjT,qf(z).

(14)

Letc= c q= ( ∞

k=|ck|q)/q. Since  <δ< /m< , we have

 |Q|

Q

Tb,qf(z)

δ

–|c|δdz

/δ

C

 |Q|

Q

Tb(f)(z) –c

δ qdz /δC  |Q|

Q j=

bj(x) –λjT(f)(z) δ q dz /δ +C – i=

σ∈Ci

Ci,

 |Q|

Q

j∈σ

bj(z) –λjTbσ,qf(z) δ dz /δ +C  |Q|

Q T j=

bjj) –λj

f

(z) –c δ q dz /δ

:=I+II+III.

Now exploiting the standard Hölder inequality for finitely many functions with  <p< /δ, it follows that

IC

j=

bj BMOM(Tqf)(x),

IIC

–

i=

σ∈Ci

Cj,

j∈σ

bj BMOM (Tbσf)(x).

Next let us address partIII. Setfj=fj+fj∞, wherefj=fjχQ∗. Let=fα· · ·fmαm and Q∗= (√n+ )Q. Takingc= α,...,αm T((b(·) –λ)· · ·(b(·) –λ))f

α

 · · ·fmαm(x) q, we

have T j=

bjj) –λj

f

(z) –c

q

Tq

j=

bjj) –λj

f

(z)

+C

α,...,αm

T j=

bjj) –λj

(z) –T

j=

bjj) –λj

(x)

q

,

where in the last sum eachαj=  or∞and in each term there is at least oneαj=∞.

Ifα=· · ·=αm= , Kolmogorov’s inequality and Theorem  imply

 |Q|

Tq j=

bjj) –λj

f

(z)

δ/δ

C Tq j=

bjj) –λj

f

L/m,∞(Q,dz

(15)

C

j=

bj BMO fj qjL(logL),Q m

j=+  |Q|

Q

fj qjdz

C

j=

bj BMOML(logL)

fj qj(x).

Ifα=· · ·=αm=∞, applying Hölder’s inequality and Minkowski’s inequality, then we

get

 |Q|

Q T j=

bjj) –λj

(z) –T

j=

bj(yj) –λj

(x)

δ q /δ

|C

Q| Q k= ∞ 

(Rn\Q)m

Kv(z,y) –Kv(x,y)

×

j=

bj(yj) –λj

fk(y)· · ·fmk(ym)dy

dv v

q//q dz

C |Q|

Q k=

(Rn\Q)m

Kv(z,y) –Kv(x,y)dv

v / × j=

bj(yj) –λj

fk(y)· · ·fmk(ym)dy

q/q

dz

|C

Q| Q k=

(Rn\Q)m

Kv(z,y) –Kv,t(z,y)dv

v / × j=

bj(yj) –λj

fk(y)· · ·fmk(ym)dy

q/q dz

+ C |Q|

Q k=

(Rn\Q)m

Kv,t(z,y) –Kv,t(x,y)dv

v / × j=

bj(yj) –λj

fk(y)· · ·fmk(ym)dy

q/q

dz

+ C |Q|

Q k=

(Rn\Q)m

Kv,t(x,y) –Kv(x,y)dv

v / × j=

bj(yj) –λj

fk(y)· · ·fmk(ym)dy

q/q

dz

:=III+III+III.

First we considerIII. Takingt= [ √

n(Q)]s, by Assumption (H) we have

III≤

C

|Q|

Q

(Rn\Q)m

At /s

( mj=|zyj|)mn+

j=

bj(yj) –λj fq· · · fm qmdy dz

Ck=  k j=  (k+)n|Q∗|

(16)

×

m

j=+  (k+)n|Q|

k+Qfj qjdyj

C

k=  k

j=

bj BMO fj qjL(logL),k+Q

×

m

j=+  (k+)n|Q|

k+Qfj qjdyj

CML(logL)

f q(x).

Similarly, we haveIII≤CML(logL)( f q)(x) andIIICML(logL)( f q)(x). Now it

re-mains to consider the typical case ofIII,

 |Q|

Q T

j=

bjj) –λj

f∞, . . . ,f∞,f+, . . . ,fm

(z)

T

j=

bj(yj) –λj

f∞, . . . ,f∞,f+, . . . ,fm

(x)

δ

q

/δ

C |Q|

Q

k=

(Rn\Q)m

Kv(z,y) –Kv(x,y)

j=

bj(yj) –λj

×fk(y)· · ·fk(y)f+,k(y+)· · ·fmk (ym)dy

dv v

q//q dz

≤ (Rn\Q)

t/s

j=(bj(yj) –λj) fj(yj) qjdyj

( j=|zyj|)mn+

+

(Rn\Q)

j=(bj(yj) –λj) fj(yj) qjdyj

( j=|zyj|)mn

m

j=+

Q

f(yj)qjdyj

C

j=

bj BMOML(logL)

f q(x).

Lemma  Let <p<∞, /m<q<∞,andq=q +· · ·+

qm with <q, . . . ,qm<∞and

letωA∞.Suppose thatb∈(BMO).Then there exists a constant C> such that

Rn|Tb,q

f|(x)dxC

j=

bj pBMO

Rn

ML(logL)

f q(x)(x)dx. (.)

The proof is similar to [], so we omit it here.

Based on the above lemmas, the proof of Theorem . in [] provides the main ideas for the proof of Theorem .

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

(17)

Acknowledgements

The first author was supported by the National Natural Science Foundation of China (No. 11401175). The second author was supported by the Fundamental Research Funds for the Central Universities (No. 3102015ZY068). The authors thank the referees for carefully reading the manuscript and providing many valuable suggestions, which have improved the article.

Received: 15 October 2015 Accepted: 26 November 2015

References

1. Xue, Q, Yan, J: On multilinear square function and its application to multilinear Littlewood-Paley operators with non-convolution type kernels. J. Math. Anal. Appl.422, 1342-1362 (2015)

2. Hormozi, M, Si, Z, Xue, Q: On general multilinear square function with non-smooth kernels (2015). arXiv:1506.08922 [math.CA]

3. Coifman, RR, McIntosh, A, Meyer, Y: L’integrale de Cauchy definit un operateur borne surL2pour les courbes Lipschitziennes. Ann. Math.116, 361-387 (1982)

4. Coifman, RR, Deng, D, Meyer, Y: Domains de la racine carrée de certains opérateurs différentiels accrétifs. Ann. Inst. Fourier (Grenoble)33, 123-134 (1983)

5. David, G, Journe, JL: Une caracterisation des operateurs integraux singuliers bornes surL2(Rn). C. R. Math. Acad. Sci.

Paris296, 761-764 (1983)

6. Fabes, EB, Jerison, D, Kenig, C: Multilinear Littlewood-Paley estimates with applications to partial differential equations. Proc. Natl. Acad. Sci.79, 5746-5750 (1982)

7. Fabes, EB, Jerison, D, Kenig, C: Necessary and sufficient conditions for absolute continuity of elliptic harmonic measure. Ann. Math.119, 121-141 (1984)

8. Fabes, EB, Jerison, D, Kenig, C: Multilinear square functions and partial differential equations. Am. J. Math.107, 1325-1368 (1985)

9. Xue, Q, Peng, X, Yabuta, K: On the theory of multilinear Littlewood-Paleyg-function. J. Math. Soc. Jpn.67, 535-559 (2015)

10. Lerner, AK, Ombrosi, S, Pérez, C, Torres, RH, Trujillo-González, R: New maximal functions and multiple weights for the multilinear Calderón-Zygmund theory. Adv. Math.220, 1222-1264 (2009)

11. Anh, BT, Duong, XT: On commutators of vector BMO functions and multilinear singular integrals with non-smooth kernels. J. Math. Anal. Appl.371, 80-84 (2010)

12. Grafakos, L, Martell, JM: Extrapolation of weighted norm inequalities for multivariable operators. J. Geom. Anal.14, 19-46 (2004)

13. Fefferman, C, Stein, EM:Hpspaces of several variables. Acta Math.129, 173-193 (1972)

14. Cruz-Uribe, D, Martell, JM, Pérez, C: Extrapolation fromA∞weights and applications. J. Funct. Anal.213, 412-439 (2004)

15. Andersen, KF, John, RT: Weighted inequalities for vector-valued maximal functions and singular integrals. Stud. Math.

69, 19-31 (1980)

References

Related documents

There has been considerable interest in the development of novel compounds with anticonvulsant, antidepressant, analgesic, anti- inflammatory, anti platelet, anti

It remains possible, however, that early oogenesis is a temperature-sensitive period for mitochondrial quality that later manifests as reduced embryonic hatch rate, consistent

21.841/2004, that discipline the accountability of political parties, have been edited on the basis of the Corporate Law 6404/76 it is outdated, and that is why

Current available anticonvulsant drugs are able to efficiently control epileptic seizures in about 50% of the patients; another 25% may show improvement whereas the

When the datas evaluate detailed, scores between children taken from Goodenough-Harris Draw a Human test according to age seems to be a difference as in

The fast disintegrating tablets prepared by direct compression method in general, are based on the action established by superdisintegrants like croscarmellose sodium

human biological systems at the molecular level, using engineered nanodevices and nanostructures’’. National Institutes of Health announced a 4-year program for nanoscience

Although there are a lot of researches being performed in analysing the writing styles and word usage of depressed individuals, few have used these data to automatically