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Research article

Decay estimates for three-dimensional nematic liquid crystal system

  • In this paper, we consider the decay rates of the higher-order spatial derivatives of solution to the Cauchy problem of 3D compressible nematic liquid crystals system. The ˙Hs(12<s<32) negative Sobolev norms are shown to be preserved along time evolution and enhance the decay rates.

    Citation: Xiufang Zhao. Decay estimates for three-dimensional nematic liquid crystal system[J]. AIMS Mathematics, 2022, 7(9): 16249-16260. doi: 10.3934/math.2022887

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  • In this paper, we consider the decay rates of the higher-order spatial derivatives of solution to the Cauchy problem of 3D compressible nematic liquid crystals system. The ˙Hs(12<s<32) negative Sobolev norms are shown to be preserved along time evolution and enhance the decay rates.



    Let T be a linear operator. Given a function a, the commutator [T,a] is defined by

    [T,a](f):=T(af)aT(f).

    There is an increasing interest to the study of T being a pseudo-differential operator because of its theory plays an important role in many aspects of harmonic analysis and it has had quite a success in linear setting. As one of the most meaningful branches, the study of bilinear pseudo-differential operators was motivated not only as generalizations of the theory of linear ones but also its natural appearance and important applications. This topic is continuously attracting many researchers.

    Let a be a Lipschitz function and 1<p<. The estimates of the form

    [T,a](f)LpaLip1fLp,forallfLp(Rn) (1.1)

    have been studied extensively. In particular, Calderón proved that (1.1) holds when T is a pseudo-differential operator whose kernel is homogeneous of degree of n1 in [7]. Coifman and Meyer showed (1.1) when T=Tσ and σ is a symbol in the Hörmander class S11,0 go back to [10,11], this result was later extended by Auscher and Taylor in [4] to σBS11,1, where the class BS11,1, which contains S11,0 modulo symbols associated to smoothing operators, consists of symbols whose Fourier transforms in the first n-dimensional variable are appropriately compactly supported. The method in the proofs of [10,11] was mainly showed that, for each Lipschitz continuous functions a on Rn, [T,a] is a Calderón-Zygmund singular integral whose kernel constants are controlled by aLip1. For another thing, Auscher and Taylor proved (1.1) in two different ways: one method is based on the paraproducts while the other is based on the Calderón-Zygmund singular integral operator approach that relies on the T(1) theorem. Fore a more systematic study of these (and even more general) spaces, we refer the readers to see [38,39].

    Given a bilinear operator T and a function a, the following two kinds commutators are respectively defined by

    [T,a]1(f,g)=T(af,g)aT(f,g)

    and

    [T,a]2(f,g)=T(f,ag)aT(f,g).

    In 2014, Bényi and Oh proved that (1.1) is also valid to this bilinear setting in [6]. More precisely, given a bilinear pseudo-differential operator Tσ with σ in the bilinear Hörmander class BS11,0 and a Lipschitz function a on Rn, it was proved in [6] that [T,a]1 and [T,a]2 are bilinear Calderón-Zygmund operators. The main aim of this paper is to study (1.1) of [Tσ,a]j(j=1,2) on the products of weighted Lebesgue spaces and variable exponent Lebesgue spaces with σBBS11,1. Before stating our main results, we need to recall some definitions and notations. We say that a function a defined on Rn is Lipschitz continuous if

    aLip1:=supx,yRn|a(x)a(y)||xy|<.

    Let δ0, ρ>0 and mR. An infinitely differentiable function σ:Rn×Rn×RnC belongs to the bilinear Hörmander class BSmρ,δ if for all multi-indices α,β,γNn0 there exists a positive constant Cα,β,γ such that

    |αxβξγησ(x,ξ,η)|C(1+|ξ|+|η|)m+δ|α|ρ(|β|+|γ|).

    Given a σ(x,ξ,η)BSmρ,δ, the bilinear pseudo-differential operator associated to σ is defined by

    Tσ(f,g)(x)=RnRnσ(x,ξ,η)ˆf(ξ)ˆg(η)e2πix(ξ+η)dξdη,forallxRn,f,gS(Rn).

    In 1980, Meyer [34] firstly introduced the linear BSm1,1, and corresponding boundedness of [Tσ,a]j(j=1,2) is obtained by Bényi-Oh in [6], that is, given mR and r>0, an infinitely differentiable function σ:Rn×Rn×RnC belongs to BrBSm1.1 if

    σBSm1,1,supp(ˆσ1){(τ,ξ,η)R3n:|τ|r(|ξ|+|η|)},

    where ˆσ1 denotes the Fourier transform of σ with respect to its first variable in Rn, that is, ˆσ1(τ,ξ,η)=^σ(,ξ,η)(τ), for all τ,ξ,ηRn. The class BBSm1,1 is defined as

    BBSm1,1=r(0,17)BrBSm1,1.

    Recently, many authors are interested in bilinear operators, which is a natural generalization of linear case. With the further research, Árpád Bényi and Virginia Naibo proved that boundedness for the commutators of bilinear pseudo-differential operators and Lipschitz functions with σBBS11,1 on the Lebesgue spaces in [5]. In 2018, Tao and Li proved that the boundedness of the commutators of bilinear pseudo-differential operators was also true on the classical and generalized Morrey spaces in [40]. Motivated by the results mentioned above, a natural and interesting problem is to consider whether or not (1.1) is true on the weighted Lebesgue spaces and variable exponent Lebesgue spaces with σBBS11,1. The purpose of this paper is to give an surely answer. And also, the endpoint estimate is obtained on L×L. Our proofs are based on the pointwise estimates of the sharp maximal function proved in the next section.

    Many results involving bilinear pseudo-differential operators theory have been obtained in parallel with the linear ones but some new interesting phenomena have also been observed. One aspect developed rapidly is the one related to the compactness of the bilinear pseudo-differential operators, especially, the properties of compactness for the commutators of bilinear pseudo-differential operators and Lipschitz functions. As the commutators [Tσ,a]j (j=1,2) are bilinear Calderón-Zygmund operators if σBBS11,1, similar to the proof of [15] (Theorem A and Theorem 2.12), we can obtain easily that [Tσ,a]j and [[Tσ,a]j,b]i (i,j=1,2) are compact operators on the Lebesgue spaces and the Morrey spaces. For the sake of convenience, there are no further details below.

    Suppose that σBBS11,1. Let K and Kj denote the kernel of Tσ and [Tσ,a]j(j=1,2), respectively. We have

    K(x,y,z)=eiξ(xy)eiη(xz)σ(x,ξ,η)dξdη,
    K1(x,y,z)=(a(y)a(x))K(x,y,z),K2(x,y,z)=(a(z)a(x))K(x,y,z).

    Then the following consequences are true.

    Theorem A. [6] If xy or xz, then we have

    (1) αxβyγzK(x,y,z)∣≲(|xy|+|xz|)2n1|α||β||γ|;

    (2) |Kj(x,y,z)|aLip1(|xy|+|xz|+|yz|)2n.

    The statement of our main theorems will be presented in follows.

    Theroem 1.1. Let q>1, σBBS11,1 and a be a Lipschitz function on Rn. Suppose for fixed 1r1,r2q with 1/r=1/r1+1/r2, [Tσ,a]j(j=1,2) is bounded from Lr1×Lr2 into Lr, with norm controlled by aLip1. If 0<δ<1/2, then

    Mδ([Tσ,a]j(f,g))(x)CaLip1Mq(f)(x)Mq(g)(x),j=1,2

    for all f,g of bounded measurable functions with compact support.

    Theorem 1.2. Let q>1, σBBS11,1 and a be a Lipschitz function on Rn. Suppose for fixed 1r1,r2q with 1/r=1/r1+1/r2, [Tσ,a]j(j=1,2) is bounded from Lr1×Lr2 into Lr, with norm controlled by aLip1. If bBMO, 0<δ<1/2, δ<ε<, q<s<, then

    Mδ([[Tσ,a]j,b]i)(x)CbBMO((Mε([Tσ,a]j(f,g))(x)+aLip1(Ms(f)(x))(Ms(g)(x))),

    where i,j=1,2 and above inequality is valid for all f,g of bounded measurable functions with compact support.

    Theorem 1.3. Let q>1, σBBS11,1 and a be a Lipschitz function on Rn. Suppose for fixed 1r1,r2q with 1/r=1/r1+1/r2, [Tσ,a]j(j=1,2) is bounded from Lr1×Lr2 into Lr, with norm controlled by aLip1. If (ω1,ω2)(Ap1/q,Ap2/q) and ω=ωpp11ωpp22, then for q<p1,p2< with 1/p=1/p1+1/p2, [Tσ,a]j(j=1,2) is bounded from Lp1(ω)×Lp2(ω) into Lp(ω).

    Theorem 1.4. Let q>1, σBBS11,1 and a be a Lipschitz function on Rn. Suppose for fixed 1r1,r2q with 1/r=1/r1+1/r2, [Tσ,a]j(j=1,2) is bounded from Lr1×Lr2 into Lr, with norm controlled by aLip1. If bBMO, (ω1,ω2)(Ap1/q,Ap2/q) and ω=ωpp11ωpp22, then for q<p1,p2< with 1/p=1/p1+1/p2, [[Tσ,a]j,b]i(i,j=1,2) is bounded from Lp1(ω)×Lp2(ω) into Lp(ω).

    Theorem 1.5. Let p(),p1(),p2()B(Rn) with 1/p()=1/p1()+1/p2(), and qj0 be given as in Lemma 4.4 for pj(), j = 1, 2. Suppose that σBBS11,1, a is a Lipschitz function on Rn and 1<qmin{q10,q20}. If for fixed 1r1,r2q with 1/r=1/r1+1/r2, [Tσ,a]j(j=1,2) is bounded from Lr1×Lr2 into Lr, with norm controlled by aLip1, then [Tσ,a]j(j=1,2) is bounded from Lp1()(Rn)×Lp2()(Rn) into Lp()(Rn).

    Theorem 1.6. Let p(),p1(),p2()B(Rn) with 1/p()=1/p1()+1/p2(), and qj0 be given as in Lemma 4.4 for pj(), j = 1, 2. Suppose that σBBS11,1, a is a Lipschitz function on Rn and 1<qmin{q10,q20}. If for fixed 1r1,r2q with 1/r=1/r1+1/r2, [Tσ,a]j(j=1,2) is bounded from Lr1×Lr2 into Lr, with norm controlled by aLip1, and bBMO, then [[Tσ,a]j,b]i(i,j=1,2) is bounded from Lp1()(Rn)×Lp2()(Rn) into Lp()(Rn).

    Theorem 1.7. Let σBBS11,1 and a be a Lipschitz function. Suppose for fixed 1r1,r2q with 1/r=1/r1+1/r2, [Tσ,a]j(j=1,2) is bounded from Lr1×Lr2 into Lr, with norm controlled by aLip1. Then [Tσ,a]j(j=1,2) is bounded from L×L into BMO.

    We use the following notation: For 1p, p is the conjugate index of p, that is, 1/p+1/p=1. B(x,R) denotes the ball centered at x with radius R>0 and fB=1|B(x,R)|B(x,R)f(y)dy. The paper is organized as follows. The pointwise estimates of the sharp maximal functions are presented in Section 2. The weighted boundedness is given in Section 3. The proofs of the boundedness on the product of variable exponent Lebesgue spaces are showed in Section 4. The endpoint estimate is proved in Section 5.

    In this section, we shall prove Theorems 1.1 and 1.2. In order to do this, let's recall some definitions.

    Given a function fLloc(Rn), the sharp maximal function is defined by

    M(f)(x)=supxB1|B|B|f(y)fB|dysupxBinfaC1|B|B|f(y)a|dx,

    where the supremum is taken over all balls B containing x. Let 0<δ<. We denote by Mδ the operator

    Mδ(f)=[M(|f|δ)]1/δ.

    Similarly, we use Mδ to denote the operator Mδ(f)=[M(|f|δ)]1/δ, where M is the Hardy-Littlewood maximal function defined by

    Mf(x)=supxB1|B|Bf(y)dy.

    The operator Mδ was appeared implicitly in a paper by John [20] and was introduced by Strömberg [37]. The sharp maximal function M and Mδ not only have close relation to BMO, but also are important tools to obtain pointwise inequalities regarding many operators in harmonic analysis (see [3,12,21,25,26,36]).

    To prove the Theorems 1.1 and 1.2, we need the following Kolmogorov's inequality and the inequality regarding the BMO functions.

    Lemma 2.1. [19,28] Let 0<p<q<. Then there is a constant C=Cp,q>0, such that

    |Q|1/pfLp(Q)C|Q|1/qfLq,(Q)

    for all measurable functions f.

    Lemma 2.2. [27] Let fBMO(Rn). Suppose 1p<, r1>0, r2>0 and xRn. Then

    (1|B(x,r1)|B(x,r1)|f(y)fB(x,r2)|pdy)1/pC(1+|lnr1r2|)fBMO,

    where C is a positive constant independent of f, x, r1 and r2.

    Lemma 2.3. [5] If σBBS11,1 and a is a Lipschitz function on Rn, then the commutators [Tσ,a]j,j=1,2 are bilinear Calderón-Zygmund operators. In particular, [Tσ,a]j,j=1,2 are bounded from Lp1×Lp2 into Lp for 1p=1p1+1p2 and 1<p1,p2< and verify appropriate end-point boundedness properties. Moreover, the corresponding norms of the operators are controlled by aLip1.

    Proof of Theorem 1.1. Let f,g be bounded measurable functions with compact support. Then for any ball B=B(x0,rB) containing x, we decompose f and g as follows:

    f=fχ16B+fχ(16B)c:=f1+f2,g=gχ16B+gχ(16B)c:=g1+g2.

    Choose a z03B2B. Then

    (1|B|||[Tσ,a]j(f,g)(z)|δ|[Tσ,a]j(f2,g2)(z0)|δ|dz)1/δC(1|B||[Tσ,a]j(f,g)(z)[Tσ,a]j(f2,g2)(z0)|δdz)1/δC(1|B||[Tσ,a]j(f1,g1)(z)|δdz)1/δ+C(1|B|B|[Tσ,a]j(f2,g1)(z)|δdz)1/δ+C(1|B||[Tσ,a]j(f1,g2)(z)|δdz)1/δ+C(1|B|B|[Tσ,a]j(f2,g2)(z)[Tσ,a]j(f2,g2)(z0)|δdz)1/δ:=4s=1Is.

    For any 0<δ<r<, it follows from Lemma 2.1 that

    I1C|B|1/δ[Tσ,a]j(f1,g1)Lδ(B)C|B|1/r[Tσ,a]j(f1,g1)Lr,(B)CaLip1(1|16B|16B|f(y1)|r1dy1)1r1(1|16B|16B|g(y2)|r2dy2)1r2CaLip1Mr1(f)(x)Mr2(g)(x)CaLip1Mq(f)(x)Mq(g)(x).

    If zB,y1(16B)c,y216B, noticing that |zy1|+|zy2|+|y1y2||zy1|+|zy2||zy1|, then we have by Theorem A,

    I2C(1|B|B((16B)c16B|K(z,y1,y2)|f(y1)||g(y2)dy2dy1)δdz)1/δC(1|B|B((16B)c(16B|g(y2)dy2)aLip1f(y1)|zy1|2ndy1)δdz)1/δC(16B|g(y2)dy2)aLip1k=42k+1B2kBf(y1)|x0y1|2ndy1CaLip1(1|16B|16B|g(y2)dy2)k=42kn1|2k+1B|2k+1B|f(y1)|dy1CaLip1M(f)(x)M(g)(x)k=42knCaLip1Mq(f)(x)Mq(g)(x).

    By the similar way, we can get that

    I3CaLip1Mq(f)(x)Mq(g)(x).

    As zB and y1,y2(16B)c, then |y1z0|2|zz0|, |y2z0|2|zz0| and rB|zz0|4rB. It follows from Hölder's inequality that

    I4C(1|B|B(RnRn|K(z,y1,y2)K(z0,y1,y2)||f2(y1)||g2(y2)|dy1dy2)δdz)1/δC(1|B|B(k1=1k2=12k2|zz0||y2z0|2k2+1|zz0|2k1|zz0||y1z0|2k1+1|zz0|×|K(z,y1,y2)K(z0,y1,y2)||f(y1)||g(y2)|dy1dy2)δdz)1/δC(1|B|B(k1=1k2=12k2|zz0||y2z0|2k2+1|zz0||g(y2)|×(2k1|zz0||y1z0|2k1+1|zz0||K(z,y1,y2)K(z0,y1,y2)||f(y1)|qdy1)1q×(2k1+4B|f(y1)|qdy1)1qdy2)δdz)1δC(1|B|B(k1=1k2=1(2k1+4B|f(y1)|qdy1)1q(2k2+4B|g(y2)|qdy2)1q×(2k2|zz0||y2z0|2k2+1|zz0|2k1|zz0||y1z0|2k1+1|zz0||K(z,y1,y2)
    K(z0,y1,y2)|qdy1dy2)1q)δdz)1δCaLip1(1|B|B(k1=1k2=1(1|2k1+4B|2k1+4B|f(y1)|qdy1)1q×(1|2k1+4B|2k2+4B|g(y2)|qdy2)1q×|2k1+4B|1/q|2k2+4B|1/q|zz0|2nqCk12k1nqCk22k2nq)δdz)1/δCaLip1Mq(f)(x)Mq(g)(x)(k1=1Ck1)(k2=1Ck2)CaLip1Mq(f)(x)Mq(g)(x), (2.1)

    where we use the fact of a weaker size condition of standard m-linear Calderón-Zygmund kernel than its classical size condition given in [31], that is: For any k1,,kmN+, there are positive constant Cki, i=1,,m, such that

    (2km|y0y0||ymy0|2km+1|z0z0|2k1|y0y0||y1y0|2k1+1|z0z0||K(y0,y1ym)K(y0,y1ym)|qdy1dym)1qC|y0y0|mnqmi=1Cki2nqki, (2.2)

    where ki=1Cki<,i=1,2, 1<q<. Together with the commutators [Tσ,a]j,j=1,2 are bilinear Calderón-Zygmund operators and Theorem A, then we obtain the fact that

    (2k2|y0y0||y2y0|2k2+1|z0z0|2k1|y0y0||y1y0|2k1+1|z0z0||K(y0,y1,y2)K(y0,y1,y2)|qdy1dy2)1qCaLip1|y0y0|2nq2i=1Cki2nqki. (2.3)

    Thus, we have

    Mδ([Tσ,a]j(f,g))(x)supxBinfaC(1|B|B|[Tσ,a]j(f,g)(z)|δa|dz)1/δsupxB(1|B|B||[Tσ,a]j(f,g)(z)|δ|[Tσ,a]j(f2,g2)(z0)|δ|dz)1/δCaLip1Mq(f)(x)Mq(g)(x).

    Thus we finish the proof of Theorem 1.1.

    Proof of Theorem 1.2. Without loss of generality, we consider the case i=1, the proof of the case i=2 is similar. Let f1, f2 be bounded measurable functions with compact support. As in the proof of Theorem 1.1, we write f and g as

    f=fχ16B+fχ(16B)c:=f1+f2,g=gχ16B+gχ(16B)c:=g1+g2.

    Then

    [[Tσ,a]j,b]1(f,g)(z)=(b(z)b16B)[Tσ,a]j(f,g)(z)[Tσ,a]j((bb16B)f,g)(z)=(b(z)b16B)[Tσ,a]j(f,g)(z)[Tσ,a]j((bb16B)f1,g1)(z)[Tσ,a]j((bb16B)f1,g2)(z)[Tσ,a]j((bb16B)f2,g1)(z)[Tσ,a]j((bb16B)f2,g2)(z),

    where b16B=1|16B|16Bb(z)dz. Therefore, for any fixed z03B2B, we have

    (1|B|B|[[Tσ,a]j,b]1(f,g)(z)+[Tσ,a]j((bb16B)f2,g2)(z0)|δdz)1δC(1|B|B|(b(z)b16B)[Tσ,a]j(f,g)(z)|δdz)1δ+C(1|B|B|[Tσ,a]j((bb16B)f1,g1))(z)|δdz)1δ+C(1|B|B|[Tσ,a]j((bb16B)f1,g2)(z)|δdz)1δ+C(1|B|B|[Tσ,a]j((bb16B)f2,g1)(z)|δdz)1δ+C(1|B|B|[Tσ,a]j((bb16B)f2,g2)(z)[Tσ,a]j((bb16B)f2,g2)(z0)|δdz)1δ:=5t=1IIt.

    Since 0<δ<1/2 and δ<ε<, there exists an l such that 1<l<min{εδ,11δ}. Then δl<ε and δl>1. By Hölder's inequality, we have

    II1C(1|B|B|(b(z)b16B|δldz)1δl(1|B|B|[Tσ,a]j(f,g)(z)|δldz)1δlCbBMO(1|B|B|[Tσ,a]j(f,g)(z)|εdz)1εCbBMOMε([Tσ,a]j(f,g))(x).

    Since q<s<, denoting t=s/q, then 1<t<. Noticing that 0<δ<r<, it follows from Lemmas 2.1 and 2.3 that

    II2C|B|1/δ[Tσ,a]j((bb16B)f1,g1)Lδ(B)C|B|1/r[Tσ,a]j((bb16B)f1,g1)Lr,(B)CaLip1(1|16B|16B|b(y1)b16B|r1|f(y1)|r1dy1)1r1(1|16B|16B|g(y2)|r2dy2)1r2CaLip1(1|16B|16B|b(y1)b16B|r1tdy1)1r1t(1|16B|16B|f(y1)|r1tdy2)1r1t×(1|16B|16B|g(y2)|r2dy2)1r2CaLip1bBMO(1|16B|16B|f(y1)|sdy2)1s×(1|16B|16B|g(y2)|sdy2)1sCaLip1bBMOMs(f)(x)Ms(g)(x).

    By Theorem A, as zB,y1(16B),y216Bc, noticing that |zy1|+|zy2|+|y1y2||zy1|+|zy2||zy2|, then we have

    II3C(1|B|B((16B)c(16B)|K(z,y1,y2)||b(y1b16B)||f(y1)||g(y2)|dy1dy2)δdz)1/δCaLip1(1|B|B((16B)c((16B)|b(y1b16B)||f(y1)|dy1)f(y2)|zy2|2ndy2)δdz)1/δCaLip1((16B)|b(y1b16B)||f(y1)|dy1)k=42k+1B2kBf(y2)|z0y2|2ndy2CaLip1((16B)|b(y1b16B)|qdy1)1/q((16B)|f(y1)|qdy1)1/q×k=42kn1|2k+1B|2k+1B|g(y2)|dy2CaLip1bBMOMq(f)(x)M(g)(x)k=42knCaLip1bBMOMs(f)(x)Ms(g)(x).

    Similar to estimate II3, by Lemma 2.2, we can get that

    II4CaLip1((16B)|g(y2)|dy2)k=42k+1B2kB|b(y1b16B)||f(y1)||x0yq|2ndy1CaLip1M(g)(x)k=42kn1|2k+1B|2k+1B|b(y1b16B)||f(y1)|dy1
    CaLip1M(g)(x)k=42kn(1|2k+1B||b(y1b16B)|qdy1)1/q×(1|2k+1B|2k+1B|f(y1)|qdy1)1qCaLip1bBMOMq(f)(x)M(g)(x)k=42knCaLip1bBMOMs(f)(x)Ms(g)(x).

    As zB and y1,y2(16B)c, then |y1z0|2|zz0|, |y2z0|2|zz0| and rB|zz0|4rB. Noticing that 1q+1tq+1tq=1. It follows from Hölder's inequality, Theorem A and the fact (2.3) that

    II5C(1|B|B(RnRn|K(z,y1,y2)K(z0,y1,y2)||b(y1)b16B|×|f2(y1)||g2(y2)|dy1dy2)δ)1/δC(1|B|B(k1=1k2=12k2|zz0||y2z0|2k2+1|zz0|2k1|zz0||y1z0|2k1+1|zz0|×|K(z,y1,y2)K(z0,y1,y2)||b(y1)b16B||f(y1)||g(y2)|dy1dy2)δdz)1/δC(1|B|B(k1=1k2=12k2|zz0||y2z0|2k2+1|zz0||g(y2)|×(2k1|zz0||y1z0|2k1+1|zz0||K(z,y1,y2)K(z0,y1,y2)|qdy1)1q×(2k1+4B|b(y1)b16B|tqdy1)1tq(2k1+4B|f(y1)|tqdy1)1tqdy2)δdz)1δC(1|B|B(k1=1k2=1(2k1+4B|b(y1)b16B|tqdy1)1tq×(2k2+4B|f(y1)|tqdy1)1tq(2k2+4B|g(y2)|qdy2)1q×(2k2|zz0||y2z0|2k2+1|zz0|2k1|zz0||y1z0|2k1+1|zz0||K(z,y1,y2)K(z0,y1,y2)|qdy1dy2)1q)δdz)1δCaLip1(1|B|B(k1=1k2=1(1|2k1+4B|2k1+4B|b(y1)b16B|tqdy1)1tq×(1|2k1+4B|2k1+4B|f(y1)|tqdy1)1tq×(1|2k1+4B|2k2+4B|g(y2)|qdy2)1q×|2k1+4B|1/q|2k2+4B|1/q|zz0|2nqCk12k1nqCk22k2nq)δdz)1/δ
    CaLip1bBMOMs(f)(x)Mq(g)(x)(k1=1Ck1)(k2=1Ck2)CaLip1bBMOMs(f)(x)Ms(g)(x).

    Combining the estimate of IIj,j=1,2,3,4,5, we get

    (1|B|B|[[Tσ,a]j,b]1(f,g)(z)+[Tσ,a]j((bb16B)f2,g2)(z0)|δdz)1δCbBMO(Mε([Tσ,a]j(f,g))(x)+aLip1Ms(f)(x)Ms(g)(x)).

    Similarly, for the case i=2, we can obtain that

    (1|B|B|[[Tσ,a]j,b]2(f,g)(z)+[Tσ,a]j((bb16B)f2,g2)(z0)|δdz)1δCbBMO(Mε([Tσ,a]j(f,g))(x)+aLip1Ms(f)(x)Ms(g)(x)).

    Thus,

    Mδ([[Tσ,a]j,b]i(f,g))(x)supxBinfaC(1|B|B|[[Tσ,a]j,b]1(f,g)(z)|δa|dz)1/δCbBMO(Mε([Tσ,a]j(f,g))(x)+aLip1Ms(f)(x)Ms(g)(x)).

    This finishes the proof of Theorem 1.2.

    The theory of weighted estimates has played very important roles in modern harmonic analysis with lots of extensive applications in the others fields of mathematics, which has been extensively studied (see [35,29,30,33], for instance). In this section, for the commutators of bilinear pseudo-differential operators and Lipschitz functions, we will establish its boundedness of product of weighted Lebesgue spaces owning to the pointwise estimate of its sharp maximal function, that is, Theorem 1.1. The boundedness of the corresponding bilinear commutators with BMO function on the product of weighted Lebesgue spaces is also obtained by using Theorem 1.1 and Theorem 1.2.

    Let us recall the definition of the class of Muckenhoupt weights Ap before proving Theorems 1.3 and 1.4. Let 1<p< and ω be a non-negative measurable function. We say ωAp if for every cube Q in Rn, there exists a positive C independent of Q such that

    (1|Q|Qω(x)dx)(1|Q|Qω(x)1pdx)p1C.

    Denote by A=p1Ap. It is well known that if ωAp with 1<p<, then ωAr for all r>p, and ωAp for some q, 1<q<p.

    To prove Theorems 1.3 and 1.4, we need the following inequality regarding maximal functions which is a version of the classical ones due to Fefferman and Stein in (see [17]), and a property of Ap.

    Lemma 3.1. [17] Let 0<p,δ<, and ωA. Then there exists a positive constant C depending on the A constant of ω such that

    Rn[Mδ(f)(x)]pω(x)dxCRn[Mδ(f)(x)]pω(x)dx,

    for every function f such that the left-hand side is finite.

    Lemma 3.2 [18] For (ω1,,ωm)(Ap1,,Apm) with 1p1,,pm<, and for 0<θ1,,θm<1 such that θ1++θm=1, we have ωθ11ωθmmAmax{p1,,pm}.

    Proof of Theorem 1.3. It follows from Lemma 3.2 that ωAmax{p1/q,p2/q}A. Take a δ such that 0<δ<1/2. Then by Lemma 3.1 and Theorem 1.1, we get

    [Tσ,a]j(f,g)Lp(ω)Mδ([Tσ,a]j(f,g))Lp(ω)CMδ([Tσ,a]j(f,g))Lp(ω)CaLip1Mq(f)Mq(g)Lp(ω)CaLip1Mq(f)Lp1(ω1)Mq(g)Lp2(ω2)=CaLip1M(|f|q)1/qLp1/q(ω1)M(|g|q)1/qLp2/q(ω2)CaLip1|f|q1/qLp1/q(ω1)|g|q1/qLp2/q(ω2)=CaLip1fLp1(ω1)gLp2(ω2).

    We complete the proof of the Theorem 1.3.

    Proof of Theorem 1.4. It follows from Lemma 3.2 that ωA. Take δ and ε such that 0<δ<ε<1/2. Then by Lemma 3.1 and Theorem 1.1, let f=(f1,f2), we get

    Mε([Tσ,a]j(f))Lp(ω)CMε([Tσ,a]j(f))Lp(ω)CaLip12t=1Mq(ft)Lp(ω).

    Since ωtApt/q, t=1,2, there exists an lt such that 1<lt<pt/q and ωtAlt. It follows from q<pt/lt that there is an st such that q<st<pt/lt<pt. Let s=min{s1,s2}. Then s>q and s<pt.

    Since lt<pt/stpt/s, then ωiAltApt/s, t=1,2. It follows from Lemma 3.1 and Theorem 1.2 that

    [[Tσ,a]j,b]i(f)Lp(ω)Mδ([[Tσ,a]j,b]i(f))Lp(ω)CMδ([[Tσ,a]j,b]i(f))Lp(ω)CbBMO(Mε([Tσ,a]j(f))Lp(ω)+aLip12t=1Ms(ft)Lp(ω))CbBMO(aLip12t=1Mq(ft)Lp(ω)+aLip12t=1Ms(ft)Lp(ω))CbBMOaLip1(2t=1Ms(ft)Lp(ω))=CbBMOaLip12t=1Ms(ft)Lpt(ωt)CbBMOaLip12t=1M(|ft|s)1/sLpt/s(ωt)=CbBMOaLip12t=1ftLpt(ωt).

    We complete the proof of the Theorem 1.4.

    The spaces with variable exponent have been widely studied in recent ten years. The results show that they are not only the generalized forms of the classical function spaces with invariable exponent, but also there are some new breakthroughs in the research techniques. These new real variable methods help people further understand the function spaces. Due to the fundamental paper [24] by Kovóčik and Rákosník, Lebesgue spaces with variable exponent Lp()(Rn) becomes one of the important class function spaces. The theory of the variable exponent function spaces have been applied in fluid dynamics, elastlcity dynamics, calculus of variations and differential equations with non-standard growth conditions (for example, see [1,2,16]). In [8], authors proved the extrapolation theorem which leads the boundedness of some classical operators including the commutators on Lp()(Rn). Karlovich and Lerner also obtained the bundedness of the singular integral commutators in [23]. The boundedness of some typical operators is being studied with keen interest on spaces with variable exponent (see [9,22,41,42,43]).

    In this section, we will establish the boundedness of [Tσ,a]j and [[Tσ,a]j,b]i(i,j=1,2) on the product of variable exponent Lebesgue spaces, that is, we shall prove Theorems 1.5 and 1.6.

    Denote P(Rn) to be the set of all measurable functions p():Rn[1,) with

    p=:essinfxRnp(x)>1andp+=:esssupxRnp(x)<,

    and B(Rn) to be the set of all functions p()P(Rn) satisfying the condition that the Hardy-littlewood maximal operator M is bounded on Lp()(Rn).

    Definition 4.1. [23] Let p()P(Rn). The variable exponent Lebesgue space is defined by

    Lp()(Rn)={fmeasurable:Rn(|f(x)|η)p(x)dx<forsomeconstantλ>0}.

    As p()=p is a constant, then Lp()(Rn)=Lp(Rn) coincides with the usual Lebesgue space. It is pointed out in [23] that Lp()(Rn) becomes a Banach space with respect to the norm

    fLp()(Rn)=inf{η>0:Rn(|f(x)|η)p(x)dx1}.

    Lemma 4.2. [13] Let p()P(Rn). Then M is bounded on Lp()(Rn) if and only if Mq0 is bounded on Lp()(Rn) for some 1<q0<, where Mq0(f)=[M(|f|q0)]1/q0.

    Lemma 4.3. [32] Let p(),p1(),,pm()P(Rn) so that 1/p(x)=1/p1(x)++1/pm(x). Then for any fjLpj(Rn), j=1,2,,m, there has

    mj=1fjLp()(Rn)2m1mj=1fjLpj()(Rn).

    Lemma 4.4. [14] Given a family F of ordered pairs of measurable functions, suppose for some fixed 0<p0<, every (f,g)F and every ωA1,

    Rn|f(x)|p0ω(x)dxC0Rn|g(x)|p0ω(x)dx.

    Let p()P(Rn) with p0p. If (p()p0)B(Rn), then there exists a constant C>0 such that for all (f,g)F, fLp()(Rn)CgLp()(Rn).

    Lemma 4.5. [14] If p()P(Rn), then C0 is dense in Lp()(Rn).

    Lemma 4.6. [13] Let p()P(Rn). Then the following conditions are equivalent.

    (1) p()B(Rn);

    (2) p()B(Rn);

    (3) p()/p0B(Rn) for some 1<p0<p;

    (4) (p()/p0)B(Rn) for some 1<p0<p.

    Proof of Theorem 1.5. Here we note f=(f1,f2), where f1 and f2 are bounded measurable functions with compact support. Since p()B(Rn), then by Lemma 4.6, there exists a p0 such that 1<p0<p and (p()/p0)B(Rn). Take a δ such that 0<δ<1/2. For any ωA1, it follows from Lemma 3.1 and Theorem 1.1 that

    Rn|[Tσ,a]j(f)|p0ω(x)dxCRn[Mδ([Tσ,a]j(f))(x)]p0ω(x)dxCRn[Mδ([Tσ,a]j(f))(x)]p0ω(x)dxCaLip1Rn[2t=1Mq(ft)(x)]p0ω(x)dxCaLip1Rn[2t=1Mqj0(ft)(x)]p0ω(x)dx.

    Applying Lemma 4.4 to the pair ([Tσ,a]j(f),2t=1Mqt0(ft)), we can get

    [Tσ,a]j(f)Lp()(Rn)CaLip12t=1Mqj0(ft))Lp()(Rn).

    Then by Lemmas 4.2 and 4.3, we have

    [Tσ,a]j(f)Lp()(Rn)CaLip12t=1Mqj0(ft))Lpt()(Rn)CaLip12t=1ftLpt()(Rn).

    This completes the proof of the Theorem 1.5.

    Proof of Theorem 1.6. Denote q0=min{q10,q20}, then q<q0<. Let f=(f1,f2), where f1 and f2 are bounded measurable functions with compact support. Since p()B(Rn), then by Lemma 4.6, there exists a p0 such that 1<p0<p and (p()/p0)B(Rn). Take δ and ε such that 0<δ<ε<1/2. For any ωA1, it follows from Lemma 3.1, Theorem 1.1 and Theorem 1.2 that

    Rn|[[Tσ,a]j,b]i(f)|p0ω(x)dxCRn[Mδ([[Tσ,a]j,b]i(f))(x)]p0ω(x)dxCRn[Mδ([[Tσ,a]j,b]i(f))(x)]p0ω(x)dxCbp0BMORn(Mε([Tσ,a]j(f))(x)dx+aLip12t=1Mq0(ft)(x))p0ω(x)dxCbp0BMO(Rn[Mε([Tσ,a]j(f))]p0ω(x)dx+ap0Lip1Rn[2t=1Mq(ft)(x)]p0ω(x)dx)Cbp0BMOap0Lip1(Rn[2t=1Mq(ft)(x)]p0ω(x)dx+Rn[2t=1Mq0(ft)(x)]p0ω(x)dx)Cbp0BMOap0Lip1Rn[2t=1Mqj0(ft)(x)]p0ω(x)dx.

    Applying Lemma 4.4 to the pair ([[Tσ,a]j,b]i(f),2t=1Mqt0(ft)), we can get

    [[Tσ,a]j,b]i(f)Lp()(Rn)CaLip12t=1Mqj0(ft))Lp()(Rn).

    Then by Lemmas 4.2 and 4.3, we have

    [[Tσ,a]j,b]i(f)Lp()(Rn)CaLip12t=1Mqt0(ft))Lpt()(Rn)CaLip12t=1ftLpt()(Rn).

    We complete the proof of Theorem 1.6.

    In this section, we will show the endpoint estimate for the [Tσ,a]jwithj=1,2, that is, we will give the proof of Theorem 1.7.

    Proof of Theorem 1.7. Take p1,p2 such that max{q,2}<p1,p2<. Let 1/p=1/p1+1/p2. Then 1<p<. It follows from Lemma 2.3 that [Tσ,a]j(j=1,2) is bounded from Lp1×Lp2 into Lp.

    Let f,gL. Then for any ball B=B(x0,rB) with rB>0, we decompose f and g as follows

    f=fχ2B+fχ(2B)c:=f1+f2,g=gχ2B+gχ(2B)c:=g1+g2.

    Then

    1|B|B|[Tσ,a]j(f,g)(z)|[Tσ,a]j(f2,g2)(x0)|dz1|B|B|[Tσ,a]j(f1,g1)(z)|+1|B|B|[Tσ,a]j(f2,g1)(z)|dz+1|B|B|[Tσ,a]j(f1,g2)(z)|dz+1|B|B|[Tσ,a]j(f2,g2)(z)[Tσ,a]j(f2,g2)(x0)|dz:=4s=1Js.

    It follows from the Hölder's inequality and Lemma 2.3 that

    J1(1|B|B|[Tσ,a]j(f1,g1)(z)|p)1/pC|B|1/paLip1f1Lp1g1Lp2aLip1fg.

    By the size conditions in Theorem A of the kernel, we have

    J21|B|B((2B)c2B|K(z,y1,y2)|f(y1)||g(y2)|dy2dy1)dzCaLip11|B|B((2B)c(2B|g(y2)|dy2)|f(y1)||zy1|2ndy1)dzCaLip1fg(2Bdy2)((2B)c1|x0y1|2ndy1)CaLip1fg.

    Similarly, we can obtain that

    J3CaLip1fg.

    Noting that as zB, and y1,y2(2B)c, then |y1x0|2|zx0| and |y2x0|2|zx0|. It follows from the Hölder's inequality and (2.3) that

    J41|B|B(RnRn|K(z,y1,y2)|f(y1)K(x0,y1,y2)|f2(y1)||g2(y2)|dy1dy2)dzCk1=1k2=11|B|B2k2|zz0||y2z0|2k2|zz0|2k1|zz0||y1z0|2k1+1|zz0|
    |K(z,y1,y2)K(x0,y1,y2)||f(y1)||g(y2)|dy1dy2|dy1dy2dzCaLip1fgk1=1k2=11|B|B2k2|zz0||y2z0|2k2+1|zz0|(2k1|zx0|)nq×(2k1|zz0||y1z0|2k1+1|zz0||K(z,y1,y2)K(x0,y1,y2)|qdy1)1/qdy2dzCaLip1fgk1=1k2=11|B|(2k1|zx0|)nq(2k2|zx0|)nq×(2k2|zz0||y2z0|2k2+1|zz0|2k1|zz0||y1z0|2k1+1|zz0|×|K(z,y1,y2)K(x0,y1,y2)|qdy1dy2)1/qdzCaLip1fgk1=1k2=12k1nq2k2nq(Ck12k1nq)(Ck22k2nq)CaLip1fg.

    Thus,

    [Tσ,a]j(f,g)BMO=supB1|B|B|[Tσ,a]j(f,g)(z)([Tσ,a]j(f,g))B|dzsupB1|B|B|[Tσ,a]j(f,g)(z)[Tσ,a]j(f2,g2)(x0)|dzCaLip1fg.

    Which completes the proof of the Theorem 1.7.

    In this paper, we consider the commutators of bilinear pseudo-differential operators and the operation of multiplication by a Lipschitz function. By establishing the pointwise estimates of the corresponding sharp maximal function, the boundedness of the commutators is obtained respectively on the products of weighted Lebesgue spaces and variable exponent Lebesgue spaces with σBBS11,1. Moreover, the endpoint estimate of the commutators is also established on L×L.

    This work is supported by the Doctoral Scientific Research Foundation of Northwest Normal University (202003101203), Young Teachers Scientific Research Ability Promotion Project of Northwest Normal University (NWNU-LKQN2021-03) and National Natural Science Foundation of China (11561062).

    The authors declare that they have no conflict of interest.



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