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AI-Driven greenhouse gas monitoring: enhancing accuracy, efficiency, and real-time emissions tracking

  • This research paper introduced a groundbreaking approach to greenhouse gas (GHG) monitoring by leveraging artificial intelligence (AI) technology to enhance both accuracy and efficiency. Traditional GHG monitoring methods are often hampered by high costs, labor-intensive processes, and significant delays in data analysis. This study harnessed advanced AI techniques, such as machine learning algorithms and neural networks, to facilitate real-time data collection and analysis from diverse sources including satellite imagery, Internet of Things (IoT) sensors, and atmospheric models. By implementing AI models like random forest, support vector machines, convolutional neural networks (CNNs), and long short-term memory (LSTM) networks, the research achieved substantial improvements such as reducing data reporting latency from 24 hours to just 1 hour, increasing spatial resolution from 30 meters to 10 meters, and enhancing detection accuracy from 80% to 95%. Additionally, the AI systems identified previously unknown emission sources and accurately forecasted future emission trends with a high correlation (R2 = 0.89). These advancements not only allow for more precise identification of emission hotspots and tracking of changes over time but also facilitate more effective regulatory responses and policy-making. The findings underscore the transformative potential of AI-driven monitoring systems in bolstering global sustainability efforts and combating climate change.

    Citation: Rakibul Hasan, Rabeya Khatoon, Jahanara Akter, Nur Mohammad, Md Kamruzzaman, Atia Shahana, Sanchita Saha. AI-Driven greenhouse gas monitoring: enhancing accuracy, efficiency, and real-time emissions tracking[J]. AIMS Environmental Science, 2025, 12(3): 495-525. doi: 10.3934/environsci.2025023

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  • This research paper introduced a groundbreaking approach to greenhouse gas (GHG) monitoring by leveraging artificial intelligence (AI) technology to enhance both accuracy and efficiency. Traditional GHG monitoring methods are often hampered by high costs, labor-intensive processes, and significant delays in data analysis. This study harnessed advanced AI techniques, such as machine learning algorithms and neural networks, to facilitate real-time data collection and analysis from diverse sources including satellite imagery, Internet of Things (IoT) sensors, and atmospheric models. By implementing AI models like random forest, support vector machines, convolutional neural networks (CNNs), and long short-term memory (LSTM) networks, the research achieved substantial improvements such as reducing data reporting latency from 24 hours to just 1 hour, increasing spatial resolution from 30 meters to 10 meters, and enhancing detection accuracy from 80% to 95%. Additionally, the AI systems identified previously unknown emission sources and accurately forecasted future emission trends with a high correlation (R2 = 0.89). These advancements not only allow for more precise identification of emission hotspots and tracking of changes over time but also facilitate more effective regulatory responses and policy-making. The findings underscore the transformative potential of AI-driven monitoring systems in bolstering global sustainability efforts and combating climate change.



    Since Kováčik and Rákosník established the theory of variable-exponent function spaces in [1], the subject has attracted extensive attention by many scholars. The theory of the variable-exponent Lebesgue spaces Lp()(Rn) has been extensively investigated, see [2,3,4,5]. Izuki first introduced the variable-exponent Herz spaces ˙Kα,qp()(Rn) [6] and considered the boundedness of commutators of fractional integrals in these spaces; for more research about the boundedness of operators in the above spaces, see [7,8]. Subsequently, Izuki generalized the Herz-Morrey spaces M˙Kα,λq,p(Rn) in [9] into the variable-exponent Herz-Morrey spaces M˙Kα,λq,p()(Rn) [10], for more research about M˙Kα,λq,p()(Rn), see [11,12,13]. On the other hand, the Muckenhoupt weight theory is a powerful tool in harmonic analysis, [14,15,16,17]. By using the basics on Banach function spaces and the variable-exponent Muckenhoupt theory, Izuki and Noi developed the theory of weighted variable-exponent Herz spaces ˙Kα,qp()(ω) [18,19,20]. After that, the research for the boundedness of some operators, such as the commutator of bilinear Hardy operators, commutators of fractional integral operators, and fractional Hardy operators achieved good results on weighted variable Herz-Morrey spaces M˙Kα,λq,p()(ω); for more details, see [21,22,23,24,25,26]. Consequently, many scholars have contributed to the study of function spaces and related differential equations, [27,28].

    Motivated by the mentioned works, the main goal of this paper is to establish the boundedness of higher-order commutators Imβ,b generated by the fractional integral operator with BMO functions on grand weighted variable-exponent Herz-Morrey spaces M˙Kα,r),θλ,p()(ω) and to establish boundedness of the morder multilinear fractional Hardy operator Hβ,m and its adjoint operator Hβ,m on weighted variable-exponent Herz-Morrey spaces M˙Kα,λq,p()(ω). The paper is organized as follows: In Section 2, we collect some preliminary definitions and lemmas. Our main results and their proof will be given in Section 3 and Section 4.

    Now, let us recall some notations that will be used in this paper.

    In [29], Hardy defined the classical Hardy operator as follows:

    P(f)(x):=1xx0f(t)dt,x>0. (1.1)

    In [30], Christ and Grafakos defined the ndimensional Hardy operator as follows:

    H(f)(x):=1|x|n|t|<|x|f(t)dt,xRn{0}, (1.2)

    and established the boundedness of H(f)(x) in Lp(Rn), obtaining the best constants.

    In [31], under the condition of 0β<n and |x|=ni=1x2i, Fu et al. defined the ndimensional fractional Hardy operator and its adjoint operator as follows:

    Hβf(x):=1|x|nβ|t|<|x|f(t)dt,Hβf(x):=|t||x|f(t)|t|nβdt,xRn{0}, (1.3)

    and established the boundedness of their commutators in Lebesgue spaces and homogeneous Herz spaces.

    Let m and n be positive integers with m1, n2, and 0β<mn, and let L1loc(Rn) be the collection of all locally integrable functions on Rn. Wu and Zhang in [12] defined the morder multilinear fractional Hardy operator and its adjoint operator as follows:

    Hβ,m(f)(x):=1|x|mnβ|t1|<|x||t2|<|x||tm|<|x|f1(t1)f2(t2)fm(tm)dt1dt2dtm, (1.4)
    Hβ,m(f)(x):=|t1||x||t2||x||tm||x|f1(t1)f2(t2)fm(tm)|(t1,t2,,tm)|mnβdt1dt2dtm, (1.5)

    where xRn{0}, |(t1,t2,tm)|=t21+t22++t2m. f=(f1,f2,,fm) is a vector-valued function, where fi(i=1,2,,m)L1loc(Rn).

    Obviously, when m=1, Hβ,m=Hβ, Hβ,m=Hβ. When β=0, Hm indicates a multilinear operator H0,m corresponding to the Hardy operator H, and Hm indicates a multilinear operator H0,m corresponding to the adjoint operator H:=H0.

    Let L1loc(Rn) be the collection of all locally integrable functions on Rn, and given a function bL1loc(Rn), the bounded mean oscillation (BMO) space and the BMO norm are defined, respectively, as follows:

    BMO(Rn):={bL1loc(Rn):bBMO(Rn)<}, (1.6)
    bBMO(Rn):=supB:ball1|B|B|b(x)bB|dx. (1.7)

    where the supremum is taken over all the balls BRn and bB=|B|1Bb(y)dy.

    Let bBMO(Rn), 0<β<n, and the fractional integral operator Iβ and the commutator of fractional integral operator [b,Iβ]f(x) are defined, respectively, as follows:

    Iβ(f)(x):=Rnf(y)|xy|nβdy,xRn. (1.8)
    [b,Iβ]f(x):=b(x)Iβ(f)(x)Iβ(bf)(x),xRn. (1.9)

    Let bBMO(Rn), 0<β<n, and mN. The higher-order commutator of fractional integrals operator Imβ,b is defined as follows:

    Imβ,bf(x):=Rn[b(x)b(y)]m|xy|nβf(y)dy,xRn. (1.10)

    Obviously, when m=1, I1β,b(f)(x)=[b,Iβ]f(x); and when m=0, I0β,b(f)(x)=Iβ(f)(x).

    For 0β<n and fL1loc(Rn), the fractional maximal operator Mβ is defined as follows:

    Mβf(x):=supxB1|B|1βnB|f(y)|dy,xRn. (1.11)

    Where the supremum is taken over all balls BRn containing x. When β=0, we simply write M instead of M0, which is exactly the Hardy-Littlewood maximal function.

    Throughout this paper, we use the following symbols and notations:

    1. For a constant R>0 and a point xRn, we write B(x,R):={yRn:|xy|<R}.

    2. For any measurable set ERn, |E| denotes the Lebesgue measure and χE means the characteristic function.

    3. Given kZ, we write Bk:=¯B(0,2k)={xRn:|x|2k}.

    4. We define a family {Ck}k= by Ck:=BkBk1={xRn:2k1<|x|2k}. Moreover χk denotes the characteristic function of Ck, namely, χk:=χCk.

    5. For any index 1<p(x)<, p(x) is denoted by its conjugate index, namely, 1p(x)+1p(x)=1.

    6. If there exists a positive constant C independent of the main parameters such that ACB, then we write AB. Additionally AB means that both AB and BA hold.

    In this section, we first recall some definitions related to the variable Lebesgue space and variable Muckenhoupt weight theory. On this basis, we review some definitions of weighted variable-exponent Lebesgue spaces, weighted variable-exponent Herz-Morrey spaces, and grand weighted variable-exponent Herz-Morrey spaces. In addition, we recall some definitions of Banach function space and weighted Banach function space. Then, we present several relevant lemmas that will aid in the proof of our main boundedness result.

    Definition 2.1 (see [2]) Let p():Rn[1,) be a real-valued measurable function.

    (i) The Lebesgue space with variable-exponent Lp()(Rn) is defined by

    Lp()(Rn):={fisameasurablefunction:Rn(|f(x)|λ)p(x)dx<forsomeconstantλ>0}

    (ii) The spaces with variable-exponent Lp()loc(E) are defined by

    Lp()loc(Rn):={fisameasurablefunction:fLp()(K)forallcompactsubsetsKRn}

    The variable-exponent Lebesgue space Lp()(Rn) is a Banach space with the norm defined by

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

    Definition 2.2 (see [2]) (i) The set P0(Rn) consists of all measurable functions p():Rn(0,) satisfying

    0<pp(x)p+<, (2.1)

    where

    p:=essinf{p(x):xRn}>0,p+:=esssup{p(x):xRn}<. (2.2)

    (ii) The set P(Rn) consists of all measurable functions p():Rn[1,) satisfying

    1<pp(x)p+<, (2.3)

    where

    p:=essinf{p(x):xRn}>1,p+:=esssup{p(x):xRn}<. (2.4)

    (iii) The set B(Rn) consists of all measurable functions p()P(Rn) satisfying that the Hardy-Littlewood maximal operator M is bounded on Lp()(Rn).

    Definition 2.3 (see [2]) Suppose that p() is a real-valued function on Rn. We say that

    (i)Clogloc(Rn) is the set of all local log-Hölder continuous functions p() satisfying

    |p(x)p(y)|Clog(|xy|),|xy|<12,x,yRn. (2.5)

    (ii)Clog0(Rn) is the set of all local log-Hölder continuous functions p() satisfying at origin

    |p(x)p0|Clog(e+1|x|),xRn. (2.6)

    (iii)Clog(Rn) is the set of all local log-Hölder continuous functions satisfying at infinity

    |p(x)p|Clog(e+|x|),xRn. (2.7)

    (iv)Clog(Rn)=Clog(Rn)Clogloc(Rn) denotes the set of all global log-Hölder continuous functions p().

    In [2], the author proved that if p()Clog(Rn), then p()Clog(Rn), and also proved that if p()P(Rn)Clog(Rn), then the Hardy-Littlewood maximal operator M is bounded on Lp()(Rn).

    Definition 2.4 (see [17]) (i) Given a non-negative, measure function ω, for 1<p<, ωAp if

    [ω]Ap:=supB(1|B|Bω(x)dx)(1|B|Bω(x)1pdx)p1<, (2.8)

    where the supremum is taken over all balls BRn.

    (ii) A weight ω is called a Muckenhoupt weight A1 if

    [ω]A1:=supB1|B|Bω(x)dxessinf{ω(x):xB}<. (2.9)

    (iii) A weight ω is called a Muckenhoupt weight A if

    A:=1<r<Ar. (2.10)

    Note that these weights characterize the weighted norm inequalities for the Hardy-Littlewood maximal operator, that is, ωAp, 1<p<, if and only if M:Lp(ω)Lp(ω).

    Definition 2.5 (see [18]) Suppose that p()P(Rn), a weight ω is in the class Ap() if

    supB:ball|B|1ω1p()χBLp()ω1p()χBLp()<. (2.11)

    Obviously, if p()=p,1<p<, then the above definition reduces to the classical Muckenhoupt Ap class. In [18], suppose p(),q()P(Rn) and p()q(), then A1Ap()Aq().

    Definition 2.6 (see [18]) Let 0<β<n and p1(),p2()P(Rn) such that 1p2(x)=1p1(x)βn. A weighted ω is said to be an A(p1(),p2()) weight, then for all balls BRn satisfying

    ωχBLp2()ω1χBLp1()C|B|1βn. (2.12)

    In [14], suppose p1(),p2()P(Rn) and β(0,n) such that 1p2(x)=1p1(x)βn. Then ωA(p1(),p2()) if and only if ωp2()A1+p2()p1().

    Definition 2.7 (see [25]) Let p()P(Rn) and ωAp(), the weighted variable-exponent Lebesgue space Lp()(ω) denotes the set of all complex-valued measurable functions f satisfying

    Lp()(ω)={f:fω1p()Lp()(Rn)}.

    This is a Banach space equipped with the norm:

    fLp()(ω)=fω1p()Lp()(Rn).

    Definition 2.8 (see [25]) Let αR,0<q<, p()P(Rn) and 0λ<. The homogeneous weighted variable-exponent Herz-Morrey spaces M˙Kα,λq,p()(ω) are defined by

    M˙Kα,λq,p()(ω)={fLp()loc(Rn{0},ω):fM˙Kα,λq,p()(ω)<},

    where

    fM˙Kα,λq,p()(ω)=supLZ2Lλ{Lk=2kαqfχkqLp()(ω)}1q.

    Nonhomogeneous weighted variable-exponent Herz-Morrey spaces can be defined in a similar way. For more details, see [25]. When λ=0, the weighted variable-exponent Herz-Morrey spaces become weighted variable-exponent Herz spaces, see [18].

    Definition 2.9 (see [32]) Let p()P(Rn),αR,θ>0,0<r<,0λ<. The homogeneous grand weighted variable-exponent Herz-Morrey spaces M˙Kα,r),θλ,p()(ω) are the collection of Lp()loc(Rn{0},ω) such that

    M˙Kα,r),θλ,p()(ω)={fLp()loc(Rn{0},ω):fM˙Kα,r),θλ,p()(ω)<},

    where

    fM˙Kα,r),θλ,p()(ω)=supδ>0supLZ2Lλ{δθkZ2kαr(1+δ)fχkr(1+δ)Lp()(ω)}1r(1+δ).

    Nonhomogeneous grand weighted variable-exponent Herz-Morrey spaces can be defined in a similar way. For more details, see [32]. When λ=0, the grand weighted variable-exponent Herz-Morrey spaces become grand weighted variable-exponent Herz spaces, see [33].

    Definition 2.10 (see [18]) Let M be the set of all complex-valued measurable functions defined on Rn, and X a linear subspace of M.

    1. The space X is said to be a Banach function space if there exists a function X:M[0,] satisfying the following properties: Let f,g,fjM(j=1,2,), then

    (a) fX holds if and only if fX<.

    (b) Norm property:

    i. Positivity: fX0.

    ii. Strict positivity: fX=0 holds if and only if f(x)=0 for almost every xRn.

    iii. Homogeneity: λfX=|λ|fX holds for all λC.

    iv. Triangle inequality: f+gXfX+gX.

    (c) Symmetry: fX=|f|X.

    (d) Lattice property: If 0g(x)f(x) for almost every xRn, then gXfX.

    (e) Fatou property: If 0fj(x)fj+1(x) for all j and fj(x)f(x) as j for almost every xRn, then limjfjX=fX.

    (f) For every measurable set FRn such that |F|<, χFX is finite. Additionally, there exists a constant CF>0 depending only on F so that F|h(x)|dxCFhX holds for all hX.

    2. Suppose that X is a Banach function space equipped with a norm X. The associated space X is defined by

    X={fM:fX<},

    where

    fX=supg{|Rnf(x)g(x)dx|:gX1}.

    Definition 2.11 Let(see [18]) Let X be a Banach function spaces. The set Xloc(Rn) consists of all measurable functions f such that fχEX for any compact set E with |E|<. Given a function W such that 0<W(x)< for almost every x(Rn), WXloc(Rn) and W1(X)loc(Rn), the weighted Banach function space is defined by

    X(Rn,W):={fM:fWX}.

    Lemma 2.1 (see [34]) Let X be a Banach function space, then we have

    (i) The associated space X is also a Banach function spaces.

    (ii)(X) and X are equivalent.

    (iii) If gX and fX, then

    Rn|f(x)g(x)|dxfXgX, (2.13)

    is the generalized Hölder inequality.

    Lemma 2.2 (see [34]) If X is a Banach function space, then we have, for all balls B,

    1|B|1χBXχBX. (2.14)

    Lemma 2.3 (see [16]) Let X be a Banach function space. Suppose that the Hardy-Littlewood maximal operator M is weakly bounded on X, that is,

    χ{Mf>λ}Xλ1fX

    is true for all fX and all λ>0. Then, we have

    supB:ball1|B|χBXχBX<. (2.15)

    Lemma 2.4 (see [18]) (i) The weighted Banach function space X(Rn,W) is a Banach function space equipped by the norm

    fX(Rn,W):=fWX.

    (ii) The associate space of X(Rn,W) is a Banach function space and equals X(Rn,W1).

    Remark 2.5 (see [21]) Let p()P(Rn) and by comparing the Lp()(ωp()) and Lp()(ωp()) with the definition of X(Rn,W), we have

    1. If we take W=ω and X=Lp()(Rn), then we get Lp()(Rn,ω)=Lp()(ωp()).

    2. If we consider W=ω1 and X=Lp()(Rn), then we get Lp()(Rn,ω1)=Lp()(ωp()). By virtue of Lemma 2.4, we get

    (Lp()(Rn,ω))=(Lp()(ωp()))=Lp()(ωp())=Lp()(Rn,ω1).

    Lemma 2.6 (see [18]) Let X be a Banach function space. Suppose that M is bounded on the associate space X. Then there exists a constant 0<δ<1 such that for all balls BRn and all measurable sets EB,

    χEXχBX(|E||B|)δ. (2.16)

    The paper [1] shows that Lp()(Rn) is a Banach function space and the associated space Lp()(Rn) has equivalent norm.

    Lemma 2.7 (see [20]) Let p()P(Rn)Clog(Rn) and ωAp(), then there are constants δ1,δ2(0,1) and C>0 such that for all k,lZ with kl,

    χkLp()(ωp())χlLp()(ωp())=χk(Lp()(ωp()))χl(Lp()(ωp()))C(|Ck||Cl|)δ1, (2.17)

    and

    χk(Lp()(ωp()))χl(Lp()(ωp()))C(|Ck||Cl|)δ2. (2.18)

    Lemma 2.8 (see [35] Theorem 3.12) Let p1()P(Rn)LH(Rn) and 0<β<np+1. Define p2() by 1p1()1p2()=βn. If ωA(p1(),p2()), then Iβ is bounded from Lp1()(ωp1()) to Lp2()(ωp2()).

    Lemma 2.9 (see [35] Theorem 3.14) Suppose that bBMO(Rn) and mN. Let p1()P(Rn)Clog(Rn) and 0<β<np+1. Define p2() by 1p1()1p2()=βn. If ωA(p1(),p2()), then

    Imβ,b(f)Lp2()(ωp2())bmBMO(Rn)fLp1()(ωp1()).

    Lemma 2.10 (see [36] Theorem 2.3) Let p(),p1(),p2()P0(Rn) such that 1p(x)=1p1(x)+1p2(x) for xRn. Then, there exists a constant Cp,p1 independent of functions f and g such that

    fgLp()Cp,p1fLp1()gLp2(), (2.19)

    holds for every fLp1()(Rn) and gLp2()(Rn).

    Lemma 2.11 (see [23] Corollary 3.11) Let bBMO(Rn),mN, and k,jZ with k>j. Then we have

    C1bmBMO(Rn)supB1χBLp()(ω)(bbB)mχBLp()(ω)CbmBMO(Rn), (2.20)

    and

    (bbBj)mχBkLp()(ω)C(kj)mbmBMO(Rn)χBkLp()(ω). (2.21)

    In this section, under certain hypothetical conditions, we first establish the boundedness of higher-order commutators Imβ,b generated by the fractional integrals operator with BMO functions on weighted variable-exponent Herz-Morrey spaces M˙Kα,λq,p()(ω). Then, we establish the boundedness of Imβ,b on grand weighted variable-exponent Herz-Morrey spaces M˙Kα,r),θλ,p()(ω).

    Theorem 3.1  Suppose that bBMO(Rn) and mN. Let 0<λ<, 0<q1q2<, p2()P(Rn)Clog(Rn), ωp2()A1, δ1,δ2(0,1) are the constants appearing in (2.17) and (2.18) respectively. α and β are such that

    (i)nδ1+λ<α<nδ2β+λ

    (ii)0<β<n(δ1+δ2).

    Define p1() by 1p2()=1p1()βn, then Imβ,b are bounded from M˙Kα,λq2,p2()(ωp2()) to M˙Kα,λq1,p1()(ωp1()).

    Proof We prove the homogeneous case while the nonhomogeneous case is similar. For all fM˙Kα,λq2,p2()(ωp2())(Rn) and bBMO(Rn), if we denote fj:=fχj=fχCj for each jZ, then f=j=fj. So we can write

    f(x)=j=f(x)χj(x)=j=fj(x).

    Because of 0<q1q21, then the Jensen inequality follows that

    (j=|aj|)q1q2j=|aj|q1q2, (3.1)

    By virtue of (3.1), we obtain

    Imβ,b(f)q1M˙Kα,λq2,p2()(ωp2())=supLZ2Lλq1(Lk=2kαq2Imβ,b(f)χkq2Lp2()(ωp2()))q1q2supLZ2Lλq1Lk=2kαq1Imβ,b(f)χkq1Lp2()(ωp2())supLZ2Lλq1{Lk=2kαq1(k2j=Imβ,b(fj)χkLp2()(ωp2()))q1}+supLZ2Lλq1{Lk=2kαq1(k+1j=k1Imβ,b(fj)χkLp2()(ωp2()))q1}+supLZ2Lλq1{Lk=2kαq1(j=k+2Imβ,b(fj)χkLp2()(ωp2()))q1}=:(J1+J2+J3).

    First we estimate J1. Note that if xCk, yCj, and jk2, then |xy||x|2k. By Cp inequality and generalized Hölder inequality, for every j,kZ, we get

    |Imβ,b(fj)(x)χk|CCj|b(x)b(y)|m|xy|nβ|fj(y)|dyχk(x)2k(βn)Cj|fj(y)||b(x)b(y)|mdyχk(x)2k(βn){|b(x)bCj|mCj|fj(y)|dy+Cj|fj(y)||b(y)bCj|mdy}χk(x)2k(βn)fjLp1()(ωp1()){|b(x)bCj|mχj(Lp1()(ωp1()))+|b(y)bCj|mχj(Lp1()(ωp1()))}χk(x). (3.2)

    By taking the Lp2()(ωp2())norm for (3.2), by Lemma 2.11, we have

    Imβ,b(fj)(x)χkLp2()(ωp2())2k(βn)fjLp1()(ωp1()){|b(x)bCj|mχkLp2()(ωp2())χj(Lp1()(ωp1()))+|b(y)bCj|mχj(Lp1()(ωp1()))χkLp2()(ωp2())}2k(βn)fjLp1()(ωp1()){(kj)mbmBMO(Rn)χkLp2()(ωp2())χj(Lp1()(ωp1()))+bmBMO(Rn)χj(Lp1()(ωp1()))χkLp2()(ωp2())}2k(βn)(kj)mbmBMO(Rn)fjLp1()(ωp1())χj(Lp1()(ωp1()))χkLp2()(ωp2()). (3.3)

    By virtue of Lemma 2.6, we have

    χjXχBjXC(|Ck||Bk|)δ=CχjXCχBjX. (3.4)

    Note that χBj(x)2jβIβ(χBj) (see [11] p.350), by applying (2.15), (3.4), and Lemma 2.8, we obtain

    χjLp2()(ωp2())χBjLp2()(ωp2())2jβIβ(χBj)Lp2()(ωp2())2jβχBjLp1()(ωp1())2j(nβ)χBj1(Lp1()(ωp1()))2j(nβ)χj1(Lp1()(ωp1())). (3.5)

    By virtue of (2.14) and (2.15), combining (2.18) and (3.5), we have

    2k(βn)χj(Lp1()(ωp1()))χkLp2()(ωp2())=2kβχj(Lp1()(ωp1()))2knχkLp2()(ωp2())2kβχj(Lp1()(ωp1()))χk1(Lp2()(ωp2()))=2kβχj(Lp1()(ωp1()))χj1(Lp2()(ωp2()))χj(Lp2()(ωp2()))χk(Lp2()(ωp2()))2kβ2nδ2(jk)χj(Lp1()(ωp1()))χj1(Lp2()(ωp2()))2kβ2nδ2(jk)2j(nβ)χj1Lp2()(ωp2())χj1(Lp2()(ωp2()))=2kβ2nδ2(jk)2jβ(2jnχjLp2()(ωp2())χj(Lp2()(ωp2())))12(βnδ2)(kj). (3.6)

    Hence by virtue of (3.3) and (3.6), we have

    Imβ,b(fj)(x)χkLp2()(ωp2())2(βnδ2)(kj)(kj)mbmBMO(Rn)fjLp1()(ωp1()). (3.7)

    On the other hand, note the following fact:

    fjLp1()(ωp1())=2jα(2jαq1fχjq1Lp1()(ωp1()))1q12jα(ji=2iαq1fχiq1Lp1()(ωp1()))1q1=2j(λα){2jλ(ji=2iαq1fχiq1Lp1()(ωp1()))1q1}2j(λα)fM˙Kα,λq1,p1()(ωp1()). (3.8)

    Thus, by virtue of (3.7) and (3.8), remark that α<nδ2β+λ,

    J1=supLZ2Lλq1{Lk=2kαq1(k2j=Imβ,b(fj)χkLp2()(ωp2()))q1}supLZ2Lλq1{Lk=2kαq1(k2j=(kj)mbmBMO(Rn)fjLp1()(ωp1())2(βnδ2)(kj))q1}bmq1BMO(Rn)fq1M˙Kα,λq1,p1()(ωp1())supLZ2Lλq1{Lk=2kλq1(k2j=(kj)m2(kj)(α+βnδ2λ))q1}bmq1BMO(Rn)fq1M˙Kα,λq1,p1()(ωp1())supLZ2Lλq1(Lk=2kλq1)bmq1BMO(Rn)fq1M˙Kα,λq1,p1()(ωp1()).

    Next, we estimate J2. Using Lemma 2.9, we get

    J2=supLZ2Lλq1{Lk=2kαq1(k+1j=k1Imβ,b(fj)χkLp2()(ωp2()))q1}bmq1BMO(Rn)supLZ2Lλq1{Lk=2kαq1(k+1j=k1fjχkLp1()(ωp1()))q1}bmq1BMO(Rn)supLZ2Lλq1{Lk=2kαq1fjχkq1Lp1()(ωp1())}=bmq1BMO(Rn)fq1M˙Kα,λq1,p1()(ωp1()).

    Finally, we estimate J3. Note that if xCk, yCj, and jk+2, then |xy||x|2j. By the Cp inequality and generalized Hölder inequality, for every j,kZ, we get

    |Imβ,b(fj)(x)χk|CCj|b(x)b(y)|m|xy|nβ|fj(y)|dyχk(x)2j(βn)Cj|fj(y)||b(x)b(y)|mdyχk(x)2j(βn){|b(x)bCj|mCj|fj(y)|dy+Cj|fj(y)||b(y)bCj|mdy}χk(x)2j(βn)fjLp1()(ωp1()){|b(x)bCj|mχj(Lp1()(ωp1()))+|b(y)bCj|mχj(Lp1()(ωp1()))}χk(x). (3.9)

    Thus, by taking the Lp2()(ωp2())norm for (3.9), by virtue of Lemma 2.11, we have

    Imβ,b(fj)(x)χkLp2()(ωp2())2j(βn)fjLp1()(ωp1()){|b(x)bCj|mχkLp2()(ωp2())χj(Lp1()(ωp1()))+|b(y)bCj|mχj(Lp1()(ωp1()))χkLp2()(ωp2())}2j(βn)fjLp1()(ωp1()){(jk)mbmBMO(Rn)χkLp2()(ωp2())χj(Lp1()(ωp1()))+bmBMO(Rn)χj(Lp1()(ωp1()))χkLp2()(ωp2())}2j(βn)(jk)mbmBMO(Rn)fjLp1()(ωp1())χkLp2()(ωp2())χj(Lp1()(ωp1())). (3.10)

    On the other hand, by (2.14) and (2.15), combining (2.17) and (3.5), we have

    2j(βn)χkLp2()(ωp2())χj(Lp1()(ωp1()))=2jβχkLp2()(ωp2())2jnχj(Lp1()(ωp1()))2jβχkLp2()(ωp2())χj1Lp1()(ωp1())=2jβχj1Lp1()(ωp1())χjLp2()(ωp2())χkLp2()(ωp2())χjLp2()(ωp2())2jβ2nδ1(kj)χj1Lp1()(ωp1())χjLp2()(ωp2())2jβ2nδ1(kj)2j(nβ)χj1Lp1()(ωp1())χj1(Lp1()(ωp1()))=2jβ2nδ1(kj)2jβ(2jnχjLp1()(ωp1())χj(Lp1()(ωp1())))12nδ1(kj). (3.11)

    Hence, combining (3.10) and (3.11), we obtain

    Imβ,b(fj)χkLp2()(ωp2())2nδ1(kj)(jk)mbmBMO(Rn)fjLp1()(ωp1()). (3.12)

    Thus, by virtue of (3.9) and (3.12), remark that λnδ1<α, and we conclude that

    J3=supLZ2Lλq1{Lk=2kαq1(j=k+2Imβ,b(fj)χkLp2()(ωp2()))q1}supLZ2Lλq1{Lk=2kαq1(j=k+2(jk)mbmBMO(Rn)fjLp1()(ωp1())2nδ1(kj))q1}bmq1BMO(Rn)fq1M˙Kα,λq1,p1()(ωp1())supLZ2Lλq1{Lk=2kλq1(j=k+2(jk)m2(jk)(λnδ1α))q1}bmq1BMO(Rn)fq1M˙Kα,λq1,p1()(ωp1())supLZ2Lλq1(Lk=2kλq1)bmq1BMO(Rn)fq1M˙Kα,λq1,p1()(ωp1()).

    Combining the estimates of J1,J2,J3, we complete the proof of Theorem 3.1.

    Theorem 3.2 Suppose that bBMO(Rn) and mN. Let 0λ<, 1<r<, p2()P(Rn)Clog(Rn), \omega^{p_{2}}(\cdot)\in A_{1} , \delta_{1}, \delta_{2}\in(0, 1) be the constants appearing in (2.17) and (2.18) respectively. \alpha and \beta are such that

    (i) \; -n\delta_{1} < \alpha < n\delta_{2}-\beta

    (ii) \; 0 < \beta < n(\delta_{1}+\delta_{2}) .

    Define p_{1}(\cdot) by \frac{1}{p_{2}(\cdot)} = \frac{1}{p_{1}(\cdot)}-\frac{\beta}{n} , then I_{\beta, b}^{m} is bounded from \mathrm{M\dot{K}}_{\lambda, p_{2}(\cdot)}^{\alpha, r), \theta}(\omega^{p_{2}(\cdot)}) to \mathrm{M\dot{K}}_{\lambda, p_{1}(\cdot)}^{\alpha, r), \theta}(\omega^{p_{1}(\cdot)}) .

    \textbf{Proof}\quad We prove the homogeneous case, as the nonhomogeneous case is similar. For all f\in \mathrm{M\dot{K}}_{\lambda, p_{2}(\cdot)}^{\alpha, r), \theta}(\omega^{p_{2}(\cdot)}) and \forall b\in \mathrm{BMO}(\mathbb{R}^{n}) , if we denote f_{j}: = f\chi_{j} = f\chi_{C_{j}} for each j\in \mathbb{Z} , then f = \sum_{j = -\infty}^{\infty}f_{j} . So we can write

    f(x) = \sum\limits_{j = -\infty}^{\infty}f(x)\chi_{j}(x) = \sum\limits_{j = -\infty}^{\infty}f_{j}(x).

    Then we have

    \begin{align*} \; &\; \; \; \; \|I_{\beta, b}^{m}(f)\|_{\mathrm{M\dot{K}}_{\lambda, p_{2}(\cdot)}^{\alpha,r),\theta}(\omega^{p_{2}(\cdot)})}\\ & = \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in\mathbb{Z}}2^{k\alpha r(1+\delta)}\|I_{\beta, b}^{m}(f)\chi_{k}\|^{r(1+\delta)}_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ & = \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}2^{k\alpha r(1+\delta)} \sum\limits_{j = -\infty}^{\infty}\|I_{\beta, b}^{m}(f_{j})\chi_{k}\|^{r(1+\delta)}_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\leq \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}2^{k\alpha r(1+\delta)} \sum\limits_{j\leq k-2}\|I_{\beta, b}^{m}(f_{j})\chi_{k}\|^{r(1+\delta)}_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\; \; \; +\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}2^{k\alpha r(1+\delta)}\sum\limits_{j = k-1}^{k+1} \|I_{\beta, b}^{m}(f_{j})\chi_{k}\|^{r(1+\delta)}_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\; \; \; +\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}2^{k\alpha r(1+\delta)}\sum\limits_{j\geq k+2}\|I_{\beta, b}^{m}(f_{j})\chi_{k}\|^{r(1+\delta)}_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ & = :(\mathcal{J}_{1}+\mathcal{J}_{2}+\mathcal{J}_{3}). \end{align*}

    First, we estimate \mathcal{J}_{1} . Remark that \alpha < n\delta_{2}-\beta , thus we consider two cases: 1 < r(1+\delta) < \infty and 0 < r(1+\delta)\leq1 . For the case 1 < r(1+\delta) < \infty , by applying (3.7) and Hölder inequality, we have

    \begin{align*} \mathcal{J}_{1}& = \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}2^{k\alpha r(1+\delta)} \sum\limits_{j = -\infty}^{k-2}\|I_{\beta, b}^{m}(f_{j})\chi_{k}\|^{r(1+\delta)}_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\leq \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}2^{k\alpha r(1+\delta)} \Big(\sum\limits_{j = -\infty}^{k-2}\|I_{\beta, b}^{m}(f_{j})\chi_{k}\|_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\lesssim \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}2^{k\alpha r(1+\delta)}\Big(\sum\limits_{j = -\infty}^{k-2}\|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}\\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \times(k-j)^{m}2^{(\beta-n\delta_{2})(k-j)}\Big)^{r(1+\delta)} \Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}\Big(\sum\limits_{j = -\infty}^{k-2}2^{\alpha j}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}(k-j)^{m}2^{(\beta-n\delta_{2}+\alpha)(k-j)}\Big)^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}\Big(\sum\limits_{j = -\infty}^{k-2}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}(k-j)^{mr(1+\delta)}2^{(\beta-n\delta_{2}+\alpha)(k-j)\frac{r(1+\delta)}{2}}\Big)\\ &\; \; \; \; \; \; \; \times\Big(\sum\limits_{j = -\infty}^{k-2}2^{(\beta-n\delta_{2}+\alpha)(k-j)\frac{(r(1+\delta))^{\prime}}{2}}\Big)^{\frac{r(1+\delta)}{(r(1+\delta))^{\prime}}}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}\sum\limits_{j = -\infty}^{k-2}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}(k-j)^{mr(1+\delta)}2^{(\beta-n\delta_{2}+\alpha)(k-j)\frac{r(1+\delta)}{2}}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{j = -\infty}^{\infty}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}\sum\limits_{k\geq j+2}(k-j)^{mr(1+\delta)}2^{(\beta-n\delta_{2}+\alpha)(k-j)\frac{r(1+\delta)}{2}}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{j = -\infty}^{\infty}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\|f\|_{\mathrm{M\dot{K}}_{\lambda, p_{1}(\cdot)}^{\alpha,r),\theta}(\omega^{p_{1}(\cdot)})}. \end{align*}

    For 0 < r(1+\delta)\leq1 , by virtue of (3.7), we have

    \begin{align*} \mathcal{J}_{1}& = \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}2^{k\alpha r(1+\delta)} \sum\limits_{j = -\infty}^{k-2}\|I_{\beta, b}^{m}(f_{j})\chi_{k}\|^{r(1+\delta)}_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\leq \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}2^{k\alpha r(1+\delta)} \Big(\sum\limits_{j = -\infty}^{k-2}\|I_{\beta, b}^{m}(f_{j})\chi_{k}\|_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\lesssim \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}2^{k\alpha r(1+\delta)}\Big(\sum\limits_{j = -\infty}^{k-2}\|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}\\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \times(k-j)^{m}2^{(\beta-n\delta_{2})(k-j)}\Big)^{r(1+\delta)} \Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}\Big(2^{\alpha j}\sum\limits_{j = -\infty}^{k-2}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}(k-j)^{m}2^{(\beta-n\delta_{2}+\alpha)(k-j)}\Big)^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}\sum\limits_{j = -\infty}^{k-2}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}(k-j)^{mr(1+\delta)}2^{(\beta-n\delta_{2}+\alpha)(k-j)r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{j = -\infty}^{\infty}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}\sum\limits_{k\geq j+2}(k-j)^{mr(1+\delta)}2^{(\beta-n\delta_{2}+\alpha)(k-j)r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{j = -\infty}^{\infty}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\|f\|_{\mathrm{M\dot{K}}_{\lambda, p_{1}(\cdot)}^{\alpha,r),\theta}(\omega^{p_{1}(\cdot)})}. \end{align*}

    Next, we estimate \mathcal{J}_{2} . Using Lemma 2.9, we get

    \begin{align*} \mathcal{J}_{2}& = \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}2^{k\alpha r(1+\delta)}\sum\limits_{j = k-1}^{k+1} \|I_{\beta, b}^{m}(f_{j})\chi_{k}\|^{r(1+\delta)}_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\lesssim \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}2^{k\alpha r(1+\delta)}\sum\limits_{j = k-1}^{k+1} \|(f\chi_{j})\|^{r(1+\delta)}_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}2^{k\alpha r(1+\delta)} \|(f\chi_{k})\|^{r(1+\delta)}_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\|f\|_{\mathrm{M\dot{K}}_{\lambda, p_{1}(\cdot)}^{\alpha,r),\theta}(\omega^{p_{1}(\cdot)})}. \end{align*}

    Finally, we estimate \mathcal{J}_{3} . By virtue of (3.12), we have

    \begin{align*} \mathcal{J}_{3}& = \sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}2^{k\alpha r(1+\delta)}\sum\limits_{j\geq k+2}\|I_{\beta, b}^{m}(f_{j})\chi_{k}\|^{r(1+\delta)}_{L^{p_{2}(\cdot)}(\omega^{p_{2}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\lesssim \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big(\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}2^{k\alpha r(1+\delta)}\sum\limits_{j\geq k+2}2^{n\delta_{1}(k-j)r(1+\delta)}(j-k)^{mr(1+\delta)}\|f_{j}\|^{r(1+\delta)}_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}\Big)^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}\Big(\sum\limits_{j\geq k+2}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}(j-k)^{m}2^{\alpha j}2^{(\alpha+n\delta_{1})(k-j)}\Big)^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}.\\ \end{align*}

    Remark that \alpha+n\delta_{1} > 0 , thus we consider two cases 1 < r(1+\delta) < \infty and 0 < r(1+\delta)\leq1 . For the case 1 < r(1+\delta) < \infty , by applying Hölder inequality, we have

    \begin{align*} \mathcal{J}_{3}&\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}\Big(\sum\limits_{j\geq k+2}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}(j-k)^{m}2^{\alpha j}2^{(\alpha+n\delta_{1})(k-j)}\Big)^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}\Big(\sum\limits_{j\geq k+2}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}(j-k)^{mr(1+\delta)}2^{(n\delta_{1}+\alpha)(k-j)\frac{r(1+\delta)}{2}}\Big)\\ &\; \; \; \; \times \Big(\sum\limits_{j\geq k+2}2^{(n\delta_{1}+\alpha)(k-j)\frac{(r(1+\delta))^{\prime}}{2}}\Big)^{\frac{r(1+\delta)}{(r(1+\delta))^{\prime}}}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}\sum\limits_{j\geq k+2}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}(j-k)^{mr(1+\delta)}2^{(n\delta_{1}+\alpha)(k-j)\frac{r(1+\delta)}{2}}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{j = -\infty}^{\infty}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}\sum\limits_{k\leq j-2}(j-k)^{mr(1+\delta)}2^{(n\delta_{1}+\alpha)(k-j)\frac{r(1+\delta)}{2}}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{j = -\infty}^{\infty}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\|f\|_{\mathrm{M\dot{K}}_{\lambda, p_{1}(\cdot)}^{\alpha,r),\theta}(\omega^{p_{1}(\cdot)})}. \end{align*}

    For 0 < r(1+\delta)\leq1 , we have

    \begin{align*} \mathcal{J}_{3}&\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k\in \mathbb{Z}}\Big(\sum\limits_{j\geq k+2}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}(j-k)^{m}2^{\alpha j}2^{(\alpha+n\delta_{1})(k-j)}\Big)^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{k = -\infty}^{\infty}\sum\limits_{j\geq k+2}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}(j-k)^{mr(1+\delta)}2^{(n\delta_{1}+\alpha)(k-j)r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\\ &\; \; \; \; \times\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{j = -\infty}^{\infty}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}\sum\limits_{k\leq j-2}(j-k)^{mr(1+\delta)}2^{(n\delta_{1}+\alpha)(k-j)r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\sup\limits_{\delta > 0}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\delta^{\theta}\sum\limits_{j = -\infty}^{\infty}2^{\alpha jr(1+\delta)}\|f_{j}\|_{L^{p_{1}(\cdot)}(\omega^{p_{1}(\cdot)})}^{r(1+\delta)}\Big\}^{\frac{1}{r(1+\delta)}}\\ &\leq \|b\|_{\mathrm{BMO}(\mathbb{R}^{n})}^{m}\|f\|_{\mathrm{M\dot{K}}_{\lambda, p_{1}(\cdot)}^{\alpha,r),\theta}(\omega^{p_{1}(\cdot)})}. \end{align*}

    Combining the estimates of \mathcal{J}_{1}, \mathcal{J}_{2}, \mathcal{J}_{3} , we complete the proof of Theorem 3.2.

    \textbf{Remark 3.3}\; \quad When \lambda = 0 and m = 0 , Theorem 3.1 holds on weighted variable-exponent Herz spaces and generalizes the result of Izuki in [18] (see Theorem 4). When 0 < \lambda < n and m = 1 , Theorem 3.1 has been proved by Zhao in [26] (see Theorem 2.2). When m = 0 , Theorem 3.2 holds on grand weighted variable-exponent Herz-Morrey spaces, and generalizes the result of Sultan in [32] (see Theorem 2).

    In this section, under some assumed conditions, we first establish the boundedness of the m- order multilinear fractional Hardy operator \mathcal{H}_{\beta, m} on weighted variable exponent Herz-Morrey spaces \mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega) . Then, we establish the boundedness of the adjoint operator of the m- order multilinear fractional Hardy operator \mathcal{H}^{\ast}_{\beta, m} on weighted variable-exponent Herz-Morrey spaces \mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega) . As a corollary of the above two results, we also obtain the corresponding result for multilinear Hardy operator \mathcal{H}_{m} and its adjoint operator \mathcal{H}^{\ast}_{m} .

    \textbf{Theorem 4.1}\; \quad Let p_{i}(\cdot)\in\mathcal{P}(\mathbb{R}^{n})\cap \mathcal{C}^{\mathrm{log}}(\mathbb{R}^{n})(i = 1, 2, \cdots, m, m\in \mathbb{Z^{+}}) , p(\cdot) is defined as follows:

    \sum\limits_{i = 1}^{m}\frac{1}{p_{i}(x)}-\frac{1}{p(x)} = \frac{\beta}{n}.

    Let 0 < \beta < \frac{mn}{\max\limits_{1\leq i\leq m}(p_{i})^{+}} , 0 < q_{i} < \infty , \lambda_{i} > 0 , \frac{1}{q} = \sum_{i = 1}^{m}\frac{1}{q_{i}}-\frac{\beta}{n} , \lambda = \sum_{i = 1}^{m}\lambda_{i} , \alpha = \sum_{i = 1}^{m}\alpha_{i} , \omega\in A_{p(\cdot)} , \omega_{i}\in A_{p_{i}(\cdot)} , \omega = \prod_{i = 1}^{m}\omega_{i} , \alpha_{i} < \lambda_{i}+n\delta_{i2} , where \delta_{i2}\in(0, 1) are the constants in (2.18) for exponents p_{i}(\cdot) and weights \omega_{i}^{p_{i}(\cdot)} , then

    \|\mathcal{H}_{\beta, m}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})}\leq C\prod\limits_{i = 1}^{m}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i}, p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}.

    \textbf{Proof}\; \quad We prove the homogeneous case, since the nonhomogeneous case is similar. Without loss of generality, we only consider the case m = 2 . Actually, a similar procedure works for all m\in \mathbb{Z^{+}}(m\geq 1) . When m = 2 , then we have

    \mathcal{H}_{\beta, 2}(\overrightarrow{f})(x) = \frac{1}{|x|^{2n-\beta}}\int_{|t_{1}| < |x|}\int_{|t_{2}| < |x|}f_{1}(t_{1})f_{2}(t_{2})\mathrm{d}t_{1}\mathrm{d}t_{2}.

    For arbitrary f_{i}\in \mathrm{M\dot{K}}_{q_{i}, p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})(i = 1, 2) , let f_{k_{i}}: = f_{i}\cdot\chi_{k_{i}} = f_{i}\cdot\chi_{C_{k_{i}}} , then

    f_{i}(x) = \sum\limits_{k_{i} = -\infty}^{\infty}f_{i}(x)\cdot\chi_{k_{_{i}}}(x) = \sum\limits_{k_{i} = -\infty}^{\infty}f_{k_{i}}(x).

    By virtue of the definition of \mathcal{H}_{\beta, 2} and generalized Hölder inequality (2.13), we have

    \begin{align} |\mathcal{H}_{\beta, 2}(\overrightarrow{f})(x)\cdot\chi_{k}(x)|&\leq \frac{1}{|x|^{2n-\beta}}\int_{|t_{1}| < |x|}\int_{|t_{2}| < |x|}|f_{1}(t_{1})f_{2}(t_{2})|\mathrm{d}t_{1}\mathrm{d}t_{2}\cdot\chi_{k}(x) \\ &\lesssim 2^{k(\beta-2n)}\int_{B_{k}}\int_{B_{k}}|f_{1}(t_{1})f_{2}(t_{2})|\mathrm{d}t_{1}\mathrm{d}t_{2}\cdot\chi_{k}(x)\\ &\lesssim 2^{k(\beta-2n)}\sum\limits_{k_{1} = -\infty}^{k}\sum\limits_{k_{2} = -\infty}^{k}\int_{C_{k_{1}}}\int_{C_{k_{2}}}|f_{1}(t_{1})f_{2}(t_{2})|\mathrm{d}t_{1}\mathrm{d}t_{2}\cdot\chi_{k}(x)\\ &\lesssim 2^{k(\beta-2n)}\sum\limits_{k_{1} = -\infty}^{k}\sum\limits_{k_{2} = -\infty}^{k}\Big( \int_{C_{k_{1}}}|f_{1}(t_{1})|\mathrm{d}t_{1}\Big) \Big( \int_{C_{k_{2}}}|f_{2}(t_{2})|\mathrm{d}t_{2}\Big)\cdot\chi_{k}(x)\\ &\lesssim 2^{k(\beta-2n)}\sum\limits_{k_{1} = -\infty}^{k}\sum\limits_{k_{2} = -\infty}^{k}\Big(\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})} \\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big)\chi_{k}(x). \end{align} (4.1)

    Note that if u(\cdot), p_{1}(\cdot), p_{2}(\cdot)\in \mathcal{P}(\mathbb{R}^{n}) such that \frac{1}{u(x)} = \frac{1}{p_{1}(x)}+\frac{1}{p_{2}(x)} for x\in \mathbb{R}^{n} , and \omega\in A_{u(\cdot)} with \omega_{i}\in A_{p_{i}(\cdot)} , \omega = \prod_{i = 1}^{2}\omega_{i} , by (2.19) of Lemma 2.10, we have

    \begin{align} \|fg\|_{L^{u(\cdot)}(\omega^{u(\cdot)})}& = \|fg\omega\|_{L^{u(\cdot)}(\mathbb{R}^{n})} = \|f\omega_{1}g\omega_{2}\|_{L^{p(\cdot)}(\mathbb{R}^{n})}\\ &\lesssim \|f\omega_{1}\|_{L^{p_{1}(\cdot)}(\mathbb{R}^{n})}\|g\omega_{2}\|_{L^{p_{2}(\cdot)}(\mathbb{R}^{n})} = \|f\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|g\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}. \end{align} (4.2)

    By virtue of (2.16) of Lemma 2.6, we have

    \begin{align} \frac{\|\chi_{k}\|_{X}}{\|\chi_{B_{k}}\|_{X}}\leq \Big(\frac{|C_{k}|}{|B_{k}|}\Big)^{\delta} = C\; \Longrightarrow\; \|\chi_{k}\|_{X}\leq C\|\chi_{B_{k}}\|_{X}. \end{align} (4.3)

    Let \frac{1}{u(x)} = \frac{1}{p_{1}(x)}+\frac{1}{p_{2}(x)} , then by the condition of Theorem 4.1, it implies that \frac{\beta}{n} = \frac{1}{u(x)}-\frac{1}{p(x)} . Note that \chi_{B_{k}}\leq C2^{-k\beta}I_{\beta}(\chi_{B_{k}})(x) (see [11] p.350), by virtue of (2.15), (4.2), (4.3), and Lemma 2.8, we have

    \begin{align} \|\chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}&\leq \|\chi_{B_{k}}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\\ &\lesssim 2^{-k\beta}\|I_{\beta}(\chi_{B_{k}})\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\\ &\lesssim 2^{-k\beta}\|\chi_{B_{k}}\|_{L^{u(\cdot)}(\omega^{u(\cdot)})}\\ &\lesssim 2^{-k\beta}\|\chi_{B_{k}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|\chi_{B_{k}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\\ &\lesssim 2^{k(2n-\beta)}\|\chi_{B_{k}}\|^{-1}_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{B_{k}}\|^{-1}_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}}\\ &\lesssim 2^{k(2n-\beta)}\|\chi_{k}\|^{-1}_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k}\|^{-1}_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \end{align} (4.4)

    Remark that k_{1}\leq k, k_{2}\leq k . By applying (2.18) and (4.4), we have

    \begin{align} &2^{k(\beta-2n)}\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}}\|\chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\\ &\lesssim \frac{\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}}{\|\chi_{k}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}}\frac{\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}}}{\|\chi_{k}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}}}\\ &\lesssim 2^{(k_{1}-k)n\delta_{12}}2^{(k_{2}-k)n\delta_{22}}. \end{align} (4.5)

    Thus, by taking the L^{p(\cdot)}(\omega^{p(\cdot)})- norm for (4.1), and by virtue of (4.5), we have

    \begin{align} &\|\mathcal{H}_{\beta, 2}(\overrightarrow{f})\cdot \chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\lesssim 2^{k(\beta-2n)}\sum\limits_{k_{1} = -\infty}^{k}\sum\limits_{k_{2} = -\infty}^{k}\Big(\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big)\|\chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\\ &\lesssim \Big(\sum\limits_{k_{1} = -\infty}^{k}2^{(k_{1}-k)n\delta_{12}}\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})} \Big)\Big(\sum\limits_{k_{2} = -\infty}^{k}2^{(k_{2}-k)n\delta_{22}}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})} \Big)\\ &\lesssim \prod\limits_{i = 1}^{2}\Big(\sum\limits_{k_{i} = -\infty}^{k}2^{(k_{i}-k)n\delta_{i2}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big). \end{align} (4.6)

    Let 0 < \gamma\leq 1 , then by the Jensen inequality it follows that

    \begin{align} \Big(\sum\limits_{j = -\infty}^{\infty}|a_{j}|\Big)^{\gamma}\leq \sum\limits_{j = -\infty}^{\infty}|a_{j}|^{\gamma}, \end{align} (4.7)

    Let \frac{1}{v} = \frac{1}{q_{1}}+\frac{1}{q_{2}} , then \frac{1}{q} = \frac{1}{v}-\frac{\beta}{n} , therefore q > v . By applying (4.6), (4.7), and Hölder inequality in sequential form, we have

    \begin{align} \|\mathcal{H}_{\beta, 2}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})}& = \sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\sum\limits_{k = -\infty}^{L}2^{k\alpha q}\|\mathcal{H}_{\beta, 2}(\overrightarrow{f})\chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}^{q} \Big\}^{\frac{1}{q}}\\ &\lesssim \sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\sum\limits_{k = -\infty}^{L}2^{k\alpha q}\prod\limits_{i = 1}^{2}\Big(\sum\limits_{k_{i} = -\infty}^{k}2^{(k_{i}-k)n\delta_{i2}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q} \Big\}^{\frac{1}{q}}\\ &\lesssim \sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\sum\limits_{k = -\infty}^{L} \prod\limits_{i = 1}^{2}\Big(\sum\limits_{k_{i} = -\infty}^{k}2^{k\alpha_{i}+(k_{i}-k)n\delta_{i2}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q} \Big\}^{\frac{1}{q}}\\ &\lesssim \sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\sum\limits_{k = -\infty}^{L} \prod\limits_{i = 1}^{2}\Big(\sum\limits_{k_{i} = -\infty}^{k}2^{k\alpha_{i}+(k_{i}-k)n\delta_{i2}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{v} \Big\}^{\frac{1}{v}}\\ &\lesssim \prod\limits_{i = 1}^{2}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}}\Big\{\sum\limits_{k = -\infty}^{L}\Big(\sum\limits_{k_{i} = -\infty}^{k}2^{k\alpha_{i}+(k_{i}-k)n\delta_{i2}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q_{i}} \Big\}^{\frac{1}{q_{i}}}. \end{align} (4.8)

    on the other hand, note the following fact:

    \begin{align} \|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}& = 2^{-k_{i}\alpha_{i}}\Big(2^{k_{i}\alpha_{i} q_{i}}\|f_{i}\chi_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}^{q_{i}}\Big)^{\frac{1}{q_{i}}}\\ &\leq 2^{-k_{i}\alpha_{i}}\Big(\sum\limits_{j_{i} = -\infty}^{k_{i}}2^{j_{i}\alpha_{i} q_{i}}\|f_{i}\chi_{j_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}^{q_{i}}\Big)^{\frac{1}{q_{i}}}\\ & = 2^{k_{i}(\lambda_{i}-\alpha_{i})}\Big\{2^{-k_{i}\lambda_{i}}\Big(\sum\limits_{j_{i} = -\infty}^{k_{i}}2^{j_{i}\alpha_{i} q_{i}}\|f_{i}\chi_{j_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}^{q_{i}}\Big)^{\frac{1}{q_{i}}}\Big\}\\ &\lesssim 2^{k_{i}(\lambda_{i}-\alpha_{i})}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}. \end{align} (4.9)

    Remark that \alpha_{i} < \lambda_{i}+n\delta_{i2} . By applying (4.7), (4.8), and (4.9), we have

    \begin{align*} &\|\mathcal{H}_{\beta, 2}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})}\\ &\lesssim \prod\limits_{i = 1}^{2}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}}\Big\{\sum\limits_{k = -\infty}^{L}\Big(\sum\limits_{k_{i} = -\infty}^{k}2^{k\alpha_{i}+(k_{i}-k)n\delta_{i2}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q_{i}} \Big\}^{\frac{1}{q_{i}}}\\ &\lesssim \prod\limits_{i = 1}^{2}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}} \Big\{\sum\limits_{k = -\infty}^{L}2^{k\lambda_{i}q_{i}}\Big(\sum\limits_{k_{i} = -\infty}^{k}2^{(k_{i}-k)(\lambda_{i}-\alpha_{i}+n\delta_{i2})}\Big)^{q_{i}}\Big\}^{\frac{1}{q_{i}}}\\ &\lesssim \prod\limits_{i = 1}^{2}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}} \Big(\sum\limits_{k = -\infty}^{L}2^{k\lambda_{i}q_{i}} \Big)^{\frac{1}{q_{i}}}\\ &\lesssim \prod\limits_{i = 1}^{2}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}. \end{align*}

    This finishes the proof of Theorem 4.1.

    \textbf{Theorem 4.2}\; \quad Let p_{i}(\cdot)\in\mathcal{P}(\mathbb{R}^{n})\cap \mathcal{C}^{\mathrm{log}}(\mathbb{R}^{n})(i = 1, 2, \cdots, m, m\in \mathbb{Z^{+}}) , p(\cdot) is defined as follows:

    \sum\limits_{i = 1}^{m}\frac{1}{p_{i}(x)}-\frac{1}{p(x)} = \frac{\beta}{n}.

    Let 0 < \beta < \frac{mn}{\max\limits_{1\leq i\leq m}(p_{i})^{+}} , 0 < q_{i} < \infty , \lambda_{i} > 0 , \frac{1}{q} = \sum_{i = 1}^{m}\frac{1}{q_{i}}-\frac{\beta}{n} , \lambda = \sum_{i = 1}^{m}\lambda_{i} , \alpha = \sum_{i = 1}^{m}\alpha_{i} , \omega\in A_{p(\cdot)} , \omega_{i}\in A_{p_{i}(\cdot)} , \omega = \prod_{i = 1}^{m}\omega_{i} , \alpha_{i} > \lambda_{i}+\frac{\beta}{m}-n\delta_{i1} , where \delta_{i1}\in(0, 1) are the constants in (2.17) for exponents p_{i}(\cdot) and weights \omega_{i}^{p_{i}(\cdot)} , then

    \|\mathcal{H}^{\ast}_{\beta, m}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})}\leq C\prod\limits_{i = 1}^{m}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i}, p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}.

    \textbf{Proof}\; \quad We prove the homogeneous case, since the nonhomogeneous case is similar. Without loss of generality, we only consider the case m = 2 . Actually, a similar procedure works for all m\in \mathbb{Z^{+}}(m\geq 1) . When m = 2 , then we have

    \mathcal{H}_{\beta, 2}^{\ast}(\overrightarrow{f})(x) = \int_{|t_{1}|\geq|x|}\int_{|t_{2}|\geq|x|} \frac{f_{1}(t_{1})f_{2}(t_{2})}{|(t_{1}, t_{2})|^{2n-\beta}}\mathrm{d}t_{1}\mathrm{d}t_{2}.

    For arbitrary f_{i}\in \mathrm{M\dot{K}}_{q_{i}, p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})(i = 1, 2) , let f_{k_{i}}: = f_{i}\cdot\chi_{k_{i}} = f_{i}\cdot\chi_{C_{k_{i}}} , then

    f_{i}(x) = \sum\limits_{k_{i} = -\infty}^{\infty}f_{i}(x)\cdot\chi_{k_{_{i}}}(x) = \sum\limits_{k_{i} = -\infty}^{\infty}f_{k_{i}}(x).

    Note that |t_{1}|^{n-\frac{\beta}{2}}|t_{2}|^{n-\frac{\beta}{2}} < |(t_{1}, t_{2})|^{2n-\beta} (see [37] p.11). By virtue of the definition of \mathcal{H}_{\beta, 2}^{\ast} and generalized Hölder inequality, we have

    \begin{align} |\mathcal{H}_{\beta, 2}^{\ast}(\overrightarrow{f})(x)\cdot\chi_{k}(x)|&\leq \int_{|t_{1}|\geq|x|}\int_{|t_{2}|\geq|x|}\frac{|f_{1}(t_{1})f_{2}(t_{2})|}{|(t_{1}, t_{2})|^{2n-\beta}}\mathrm{d}t_{1}\mathrm{d}t_{2}\cdot\chi_{k}(x)\\ &\leq \sum\limits_{k_{1} = k}^{\infty}\sum\limits_{k_{2} = k}^{\infty}\int_{C_{k_{1}}}\int_{C_{k_{2}}}\frac{|f_{1}(t_{1})f_{2}(t_{2})|}{|(t_{1}, t_{2})|^{2n-\beta}}\mathrm{d}t_{1}\mathrm{d}t_{2}\cdot\chi_{k}(x)\\ &\lesssim \sum\limits_{k_{1} = k}^{\infty}\sum\limits_{k_{2} = k}^{\infty}2^{(k_{1}+k_{2})(\frac{\beta}{2}-n)}\Big( \int_{C_{k_{1}}}|f_{1}(t_{1})|\mathrm{d}t_{1}\Big) \Big( \int_{C_{k_{2}}}|f_{2}(t_{2})|\mathrm{d}t_{2}\Big)\cdot\chi_{k}(x)\\ &\lesssim \sum\limits_{k_{1} = k}^{\infty}\sum\limits_{k_{2} = k}^{\infty}2^{(k_{1}+k_{2})(\frac{\beta}{2}-n)}\Big(\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})} \\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big)\chi_{k}(x). \end{align} (4.10)

    Remark that k_{1}\geq k, k_{2}\geq k . By applying (2.14), (2.17), and (4.4), we have

    \begin{align} &2^{(k_{1}+k_{2})(\frac{\beta}{2}-n)}\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}}\|\chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\\ &\lesssim 2^{(k_{1}+k_{2})(\frac{\beta}{2}-n)}\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} 2^{k(2n-\beta)}\|\chi_{k}\|^{-1}_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k}\|^{-1}_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}}\\ &\lesssim 2^{(k_{1}+k_{2})(\frac{\beta}{2}-n)}\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}}2^{-k\beta}\|\chi_{k}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|\chi_{k}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\\ &\lesssim 2^{(k_{1}+k_{2})(\frac{\beta}{2}-n)} 2^{nk_{1}}\|\chi_{k_{1}}\|^{-1}_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}2^{nk_{2}}\|\chi_{k_{2}}\|^{-1}_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}2^{-k\beta}\|\chi_{k}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|\chi_{k}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\\ & = 2^{(k_{1}+k_{2}-2k)\frac{\beta}{2}}\|\chi_{k_{1}}\|^{-1}_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|\chi_{k_{2}}\|^{-1}_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\|\chi_{k}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|\chi_{k}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\\ & = 2^{(k_{1}+k_{2}-2k)\frac{\beta}{2}}\frac{\|\chi_{k}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}}{\|\chi_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}}\frac{\|\chi_{k}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}}{\|\chi_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}}\\ &\lesssim 2^{(k_{1}+k_{2}-2k)\frac{\beta}{2}}2^{(k-k_{1})n\delta_{11}}2^{(k-k_{2})n\delta_{21}}\\ & = 2^{(k_{1}-k)(\frac{\beta}{2}-n\delta_{11})}2^{(k_{1}-k)(\frac{\beta}{2}-n\delta_{21})}. \end{align} (4.11)

    Thus, by taking the L^{p(\cdot)}(\omega^{p(\cdot)})- norm for (4.10), and by virtue of (4.11), we have

    \begin{align} &\|\mathcal{H}^{\ast}_{\beta, 2}(\overrightarrow{f})\cdot \chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\lesssim \sum\limits_{k_{1} = k}^{\infty}\sum\limits_{k_{2} = k}^{\infty}2^{(k_{1}+k_{2})(\frac{\beta}{2}-n)}\Big(\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big)\|\chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\\ &\lesssim \Big(\sum\limits_{k_{1} = k}^{\infty}2^{(k_{1}-k)(\frac{\beta}{2}-n\delta_{11})}\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})} \Big)\Big(\sum\limits_{k_{2} = k}^{\infty}2^{(k_{2}-k)(\frac{\beta}{2}-n\delta_{21})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})} \Big)\\ &\lesssim \prod\limits_{i = 1}^{2}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{(k_{i}-k)(\frac{\beta}{2}-n\delta_{i1})}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big). \end{align} (4.12)

    Let \frac{1}{v} = \frac{1}{q_{1}}+\frac{1}{q_{2}} , then \frac{1}{q} = \frac{1}{v}-\frac{\beta}{n} ; therefore, q > v . By applying (4.7), (4.12), and Hölder inequality in sequential form, we have

    \begin{align} \|\mathcal{H}^{\ast}_{\beta, 2}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})}& = \sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\sum\limits_{k = -\infty}^{L}2^{k\alpha q}\|\mathcal{H}^{\ast}_{\beta, 2}(\overrightarrow{f})\chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}^{q} \Big\}^{\frac{1}{q}}\\ &\lesssim \sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\sum\limits_{k = -\infty}^{L}2^{k\alpha q}\prod\limits_{i = 1}^{2}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{(k_{i}-k)(\frac{\beta}{2}-n\delta_{i1})}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q} \Big\}^{\frac{1}{q}}\\ &\lesssim \sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\sum\limits_{k = -\infty}^{L} \prod\limits_{i = 1}^{2}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{k\alpha_{i}+(k_{i}-k)(\frac{\beta}{2}-n\delta_{i1})}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q} \Big\}^{\frac{1}{q}}\\ &\lesssim \sup\limits_{L\in \mathbb{Z}}2^{-L\lambda}\Big\{\sum\limits_{k = -\infty}^{L} \prod\limits_{i = 1}^{2}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{k\alpha_{i}+(k_{i}-k)(\frac{\beta}{2}-n\delta_{i1})}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{v} \Big\}^{\frac{1}{v}}\\ &\lesssim \prod\limits_{i = 1}^{2}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}}\Big\{\sum\limits_{k = -\infty}^{L}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{k\alpha_{i}+(k_{i}-k)(\frac{\beta}{2}-n\delta_{i1})}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q_{i}} \Big\}^{\frac{1}{q_{i}}}. \end{align} (4.13)

    Remark that \alpha_{i} > \lambda_{i}+\frac{\beta}{2}-n\delta_{i1} . By applying (4.7), (4.9), and (4.13), we have

    \begin{align*} &\|\mathcal{H}^{\ast}_{\beta, 2}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})}\\ &\lesssim \prod\limits_{i = 1}^{2}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}}\Big\{\sum\limits_{k = -\infty}^{L}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{k\alpha_{i}+(k_{i}-k)(\frac{\beta}{2}-n\delta_{i1})}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q_{i}} \Big\}^{\frac{1}{q_{i}}}\\ &\lesssim \prod\limits_{i = 1}^{2}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}} \Big\{\sum\limits_{k = -\infty}^{L}2^{k\lambda_{i}q_{i}}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{(k_{i}-k)(\lambda_{i}+\frac{\beta}{2}-\alpha_{i}-n\delta_{i1})}\Big)^{q_{i}}\Big\}^{\frac{1}{q_{i}}}\\ &\lesssim \prod\limits_{i = 1}^{2}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}} \Big(\sum\limits_{k = -\infty}^{L}2^{k\lambda_{i}q_{i}} \Big)^{\frac{1}{q_{i}}}\\ &\lesssim \prod\limits_{i = 1}^{2}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}. \end{align*}

    This finishes the proof of Theorem 4.2.

    \textbf{Theorem 4.3}\; \quad Let p_{i}(\cdot)\in\mathcal{P}(\mathbb{R}^{n})\cap \mathcal{C}^{\mathrm{log}}(\mathbb{R}^{n})(i = 1, 2, \cdots, m, m\in \mathbb{Z^{+}}) , p(\cdot) is defined as follows:

    \sum\limits_{i = 1}^{m}\frac{1}{p_{i}(x)} = \frac{1}{p(x)}.

    Let 0 < q_{i} < \infty , \lambda_{i} > 0 , \frac{1}{q} = \sum_{i = 1}^{m}\frac{1}{q_{i}} , \lambda = \sum_{i = 1}^{m}\lambda_{i} , \omega\in A_{p(\cdot)} , \omega_{i}\in A_{p_{i}(\cdot)} , \omega = \prod_{i = 1}^{m}\omega_{i} , \delta_{i1}, \delta_{i2}\in(0, 1) are the constants in Lemma 2.7 for exponents p_{i}(\cdot) and weights \omega_{i}^{p_{i}(\cdot)} , then

    (i) When \alpha_{i} < \lambda_{i}+n\delta_{i2} , we have

    \|\mathcal{H}_{m}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})}\leq C\prod\limits_{i = 1}^{m}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i}, p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}.

    (ii) When \alpha_{i} > \lambda_{i}-n\delta_{i1} , we have

    \|\mathcal{H}^{\ast}_{m}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})}\leq C\prod\limits_{i = 1}^{m}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i}, p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}.

    \textbf{Proof}\; \quad \; (i) We prove the homogeneous case, since the nonhomogeneous case is similar. Since the proof method is similar to the Theorem 4.1, we only give the proof idea here and omit the detailed proof. Without loss of generality, we only consider the case m = 2 . Actually, a similar procedure works for all m\in \mathbb{Z^{+}}(m\geq 1) . When m = 2 , similar to the estimation of (4.1), by virtue of the definition of \mathcal{H}_{2} and generalized Hölder inequality, we have

    \begin{align} |\mathcal{H}_{ 2}(\overrightarrow{f})(x)\cdot\chi_{k}(x)| &\lesssim 2^{-2kn}\sum\limits_{k_{1} = -\infty}^{k}\sum\limits_{k_{2} = -\infty}^{k}\Big(\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})} \\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big)\chi_{k}(x). \end{align} (4.14)

    By taking the L^{p(\cdot)}(\omega^{p(\cdot)})- norm for (4.14) and applying (2.18) and (4.4), we have

    \begin{align} &\|\mathcal{H}_{ 2}(\overrightarrow{f})\cdot \chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\lesssim 2^{-2kn}\sum\limits_{k_{1} = -\infty}^{k}\sum\limits_{k_{2} = -\infty}^{k}\Big\{\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})} \\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big\}\|\chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\\ &\lesssim 2^{-2kn}\sum\limits_{k_{1} = -\infty}^{k}\sum\limits_{k_{2} = -\infty}^{k}\Big\{\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})} \\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big\}2^{k(2n-\beta)}\|\chi_{k}\|^{-1}_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k}\|^{-1}_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}}\\ &\lesssim \prod\limits_{i = 1}^{2}\Big\{\sum\limits_{k_{i} = -\infty}^{k}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \|\chi_{k_{i}}\|_{(L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)}))^{\prime}}\|\chi_{k}\|^{-1}_{(L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)}))^{\prime}}\Big\}\\ & = \prod\limits_{i = 1}^{2}\Big\{\sum\limits_{k_{i} = -\infty}^{k}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}\frac{\|\chi_{k_{i}}\|_{(L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)}))^{\prime}}} {\|\chi_{k}\|_{(L^{p_{i}(\cdot)}(\omega^{p_{i}(\cdot)}))^{\prime}}}\Big\}\\ &\lesssim \prod\limits_{i = 1}^{2}\Big\{\sum\limits_{k_{i} = -\infty}^{k}2^{(k_{i}-k)n\delta_{i2}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}\Big\}. \end{align} (4.15)

    Next, the required results are obtained in a way similar to the proof of Theorem 4.1.

    (ii) We prove the homogeneous case, since the nonhomogeneous case is similar. Since the proof method is similar to the Theorem 4.2, we only give the proof idea here and omit the detailed proof. Without loss of generality, we only consider the case m = 2 . Actually, a similar procedure works for all m\in \mathbb{Z^{+}}(m\geq 1) . When m = 2 , similar to the estimation of (4.10), by virtue of the definition of \mathcal{H}^{\ast}_{2} and generalized Hölder inequality, we have

    \begin{align} |\mathcal{H}_{2}^{\ast}(\overrightarrow{f})(x)\cdot\chi_{k}(x)| &\lesssim \sum\limits_{k_{1} = k}^{\infty}\sum\limits_{k_{2} = k}^{\infty}2^{(-n)(k_{1}+k_{2})}\Big(\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})} \\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big)\chi_{k}(x). \end{align} (4.16)

    By taking the L^{p(\cdot)}(\omega^{p(\cdot)})- norm for (4.16), applying (2.14), (2.15), (2.17), and (4.4), we have

    \begin{align} &\|\mathcal{H}^{\ast}_{ 2}(\overrightarrow{f})\cdot \chi_{k}\|_{L^{p(\cdot)}(\omega^{p(\cdot)})}\lesssim 2^{(-n)(k_{1}+k_{2})}\sum\limits_{k_{1} = k}^{\infty}\sum\limits_{k_{2} = k}^{\infty}\Big\{\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big\}2^{k(2n-\beta)}\|\chi_{k}\|^{-1}_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}\|\chi_{k}\|^{-1}_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}}\\ &\lesssim \sum\limits_{k_{1} = k}^{\infty}\sum\limits_{k_{2} = k}^{\infty}\Big\{\|f_{k_{1}}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|f_{k_{2}}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\\ &\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \cdot2^{-nk_{1}}\|\chi_{k_{1}}\|_{(L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)}))^{\prime}}2^{-nk_{2}}\|\chi_{k_{2}}\|_{(L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)}))^{\prime}} \Big\}\|\chi_{k}\|_{L^{p_{1}(\cdot)}(\omega_{1}^{p_{1}(\cdot)})}\|\chi_{k}\|_{L^{p_{2}(\cdot)}(\omega_{2}^{p_{2}(\cdot)})}\\ &\lesssim \prod\limits_{i = 1}^{2}\Big\{\sum\limits_{k_{i} = k}^{\infty}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \|\chi_{k_{i}}\|^{-1}_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}\|\chi_{k}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}\Big\}\\ & = \prod\limits_{i = 1}^{2}\Big\{\sum\limits_{k_{i} = k}^{\infty}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}\frac{\|\chi_{k}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}} {\|\chi_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega^{p_{i}(\cdot)})}}\Big\}\\ &\lesssim \prod\limits_{i = 1}^{2}\Big\{\sum\limits_{k_{i} = k}^{\infty}2^{(k-k_{i})n\delta_{i1}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})}\Big\}. \end{align} (4.17)

    Similar to the estimation of (4.13). By applying (4.7), (4.17), and Hölder inequality in sequential form, we have

    \begin{align} \|\mathcal{H}^{\ast}_{2}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})} \lesssim \prod\limits_{i = 1}^{2}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}}\Big\{\sum\limits_{k = -\infty}^{L}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{k\alpha_{i}+(k-k_{i})n\delta_{i1}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q_{i}} \Big\}^{\frac{1}{q_{i}}}. \end{align} (4.18)

    Remark that \alpha_{i} > \lambda_{i}-n\delta_{i1} . By applying (4.7), (4.9), and (4.18), we have

    \begin{align*} &\|\mathcal{H}^{\ast}_{2}(\overrightarrow{f})\|_{\mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega^{p(\cdot)})}\\ &\lesssim \prod\limits_{i = 1}^{2}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}}\Big\{\sum\limits_{k = -\infty}^{L}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{k\alpha_{i}+(k-k_{i})n\delta_{i1}}\|f_{k_{i}}\|_{L^{p_{i}(\cdot)}(\omega_{i}^{p_{i}(\cdot)})} \Big)^{q_{i}} \Big\}^{\frac{1}{q_{i}}}\\ &\lesssim \prod\limits_{i = 1}^{2}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}} \Big\{\sum\limits_{k = -\infty}^{L}2^{k\lambda_{i}q_{i}}\Big(\sum\limits_{k_{i} = k}^{\infty}2^{(k-k_{i})(\alpha_{i}+n\delta_{i1}-\lambda_{i})}\Big)^{q_{i}}\Big\}^{\frac{1}{q_{i}}}\\ &\lesssim \prod\limits_{i = 1}^{2}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}\sup\limits_{L\in \mathbb{Z}}2^{-L\lambda_{i}} \Big(\sum\limits_{k = -\infty}^{L}2^{k\lambda_{i}q_{i}} \Big)^{\frac{1}{q_{i}}}\\ &\lesssim \prod\limits_{i = 1}^{2}\|f_{i}\|_{\mathrm{M\dot{K}}_{q_{i},p_{i}(\cdot)}^{\alpha_{i}, \lambda_{i}}(\omega_{i}^{p_{i}(\cdot)})}. \end{align*}

    This finishes the proof idea of Theorem 4.3.

    \textbf{Remark 4.4}\quad Because of \mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, 0}(\omega) = \mathrm{\dot{K}}_{ p(\cdot)}^{\alpha, q}(\omega) , let \lambda = 0 from Theorem 4.1 and Theorem 4.2. Then we can obtain the boundedness of the m- order multilinear fractional Hardy operator \mathcal{H}_{\beta, m} and its adjoint operator \mathcal{H}^{\ast}_{\beta, m} from the weighted variable-exponent Herz product space

    K_{p_{1}(\cdot)}^{\alpha_{1}, q_{1}}(\omega_{1}^{p_{1}(\cdot)})\times K_{p_{2}(\cdot)}^{\alpha_{2}, q_{2}}(\omega_{2}^{p_{2}(\cdot)})\times \cdots \times K_{p_{m}(\cdot)}^{\alpha_{m}, q_{m}}(\omega_{m}^{p_{m}(\cdot)})

    to the homogeneous weighted variable-exponent Herz space K_{p(\cdot)}^{\alpha, q}(\omega^{p(\cdot)}) . Obviously, from Theorem 4.3, the m- order multilinear Hardy operator \mathcal{H} and its adjoint operator \mathcal{H}^{\ast} have similar results.

    This paper first considered the boundedness of higher-order commutators I_{\beta, b}^{m} generated by the fractional integral operator with BMO functions on weighted variable-exponent Herz-Morrey spaces \mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega) and grand weighted variable-exponent Herz-Morrey spaces \mathrm{M\dot{K}}_{\lambda, p(\cdot)}^{\alpha, r), \theta}(\omega) , and generalized Theorem 4 of Izuki [18] as well as Theorem 2 of Sultan [32]. Then, we considered the boundedness of the m- order multilinear fractional Hardy operator \mathcal{H}_{\beta, m} and its adjoint operator \mathcal{H}^{\ast}_{\beta, m} on weighted variable-exponent Herz-Morrey spaces \mathrm{M\dot{K}}_{q, p(\cdot)}^{\alpha, \lambda}(\omega) , and generalized some relevant results of Wu [12].

    Ming Liu and Binhua Feng wrote the main manuscript text and approved the final manuscript.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    We wish to thank the handing editor and the referees for their valuable comments and suggestions. B. Feng is supported by the National Natural Science Foundation of China (No.12461035,12261079), the Natural Science Foundation of Gansu Province (No.24JRRA242).

    The authors declare there is no conflict of interest.



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