Research article

Boundedness of some operators on grand generalized Morrey spaces over non-homogeneous spaces

  • Received: 09 July 2021 Accepted: 11 October 2021 Published: 19 October 2021
  • MSC : 26A33, 42B20, 42B35

  • The aim of this paper is to obtain the boundedness of some operator on grand generalized Morrey space Lp),φ,ϕμ(G) over non-homogeneous spaces, where G Rn is a bounded domain. Under assumption that functions φ and ϕ satisfy certain conditions, the authors prove that the Hardy-Littlewood maximal operator, fractional integral operators and θ-type Calderón-Zygmund operators are bounded on the non-homogeneous grand generalized Morrey space Lp),φ,ϕμ(G). Moreover, the boundedness of commutator [b,TGθ] which is generated by θ-type Calderón-Zygmund operator Tθ and bRBMO(μ) on spaces Lp),φ,ϕμ(G) is also established.

    Citation: Suixin He, Shuangping Tao. Boundedness of some operators on grand generalized Morrey spaces over non-homogeneous spaces[J]. AIMS Mathematics, 2022, 7(1): 1000-1014. doi: 10.3934/math.2022060

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  • The aim of this paper is to obtain the boundedness of some operator on grand generalized Morrey space Lp),φ,ϕμ(G) over non-homogeneous spaces, where G Rn is a bounded domain. Under assumption that functions φ and ϕ satisfy certain conditions, the authors prove that the Hardy-Littlewood maximal operator, fractional integral operators and θ-type Calderón-Zygmund operators are bounded on the non-homogeneous grand generalized Morrey space Lp),φ,ϕμ(G). Moreover, the boundedness of commutator [b,TGθ] which is generated by θ-type Calderón-Zygmund operator Tθ and bRBMO(μ) on spaces Lp),φ,ϕμ(G) is also established.



    Let G be a bounded domain in Rn. Recall that a Radon measure μ on the domain G is said to satisfy the polynomial growth condition, if there exists a positive constant C0 such that, for all xG and r(0,),

    μ(B(x,r))C0rd, (1.1)

    where d is a fixed number in (0,n] and B(x,r):={yG:|xy|<r}. The bounded domain G with a such Radon measure is also called a non-homogeneous space. Moreover, Tolsa [24] showed that the analysis associated with the non-homogeneous space over Euclidean space Rn plays a key role in solving the long-standing open Painlevé's problem and Vitushkin's conjecture. On the development and research of the operators and function spaces over non-homogeneous spaces, we refer readers to see [5,7,17,19,21,22,23,25].

    On the other hand, Iwaniec and Sbordone [9] introduced the theory of grand Lebesgue space Lp), which is one of the intensively developing directions in Modern analysis. What's more, the grand Lebesgue spaces have important applications in geometric function theory, Sobolev spaces theory and PDEs; for example, see [1,2,3,6,10], respectively. Since then, many papers focus on the grand spaces and the boundedness of operators on these spaces. For example, Kokilashvili [11] obtained the boundedness of several well-known operators on weighted grand Lebesgue spaces. In 2019, Kokilashvili et al. established the weighted extrapolation results in grand Morrey spaces and obtained some applications in PDE (see [15]). In 2021, Kokilashvili and Meskhi [12] obtain the boundedness of maximal operators, fractional integral operators and singular integral operators on generalized weighted grand Lebesgue spaces over non-doubling measures. More researches on the boundedness of integral operators in grand spaces can be seen [13,14,16,20] and the references therein. The interpolation result in grand spaces can be seen in [4,8].

    In this paper, we will consider the boundedness of maximal operators, fractional integral operators and θ-type Calderón-Zygmund operators in grand generalized Morrey spaces Lp),φ,ϕμ(G) over non-homogeneous spaces. For the study of maximal operators, fractional integral operators and θ-type Calderón-Zygmund operators in generalized Morrey spaces defined on non-homogeneous spaces, we rely on the results of references [5,18,21].

    Now let us begin to recall some necessary notions. The following definitions of the coefficient KB,S and (α,β)-doubling ball are from [23], also see [5].

    Definition 1.1. For any two balls BS, define

    KB,S:=1+NB,Sk=1μ(2kB)(2krB)n, (1.2)

    where rB and rS respectively denote the radii of the balls B and S, and NB,S the smallest integer satisfying 2NB,SrBrS.

    Definition 1.2. Let α,β(1,). A ball BG is said to be (α,β)-doubling if μ(αB)βμ(B).

    In [23], Tolsa showed that there exists a lot of "big" doubling balls. To be precise, given any point xsupp(μ) and c>0, there exists some (α,β)-doubling ball B centered at x with radius rBc due to the growth condition (1.1).

    Let 1<p< and φ be a function on (0,p1] which is a positive bounded and satisfies limx0φ(x)=0. The class of such functions will be simply denoted by Φp. Then the norm of functions f in grand Lebesgue space Lp),φμ(G) is defined by

    fLp),φμ(G)=sup0<ε<p1[φ(ε)]1pεfLpεμ(G), (1.3)

    where Lrμ(G) is the classical Lebesgue space with respect to a measure μ, and defined by the norm:

    fLrμ(G):=(G|f(x)|rdμ(x))1r,1r<.

    On the base of grand Lebesgue space Lp),φμ(G), we recall the definition of grand generalized Morrey spaces as follows.

    Definition 1.3. Let 1<p< and φΦp. Suppose that ϕ:(0,)(0,) is an increasing function. Then grand generalized Morrey space Lp),φ,ϕμ(G) is defined by

    fLp),φ,ϕμ(G):={fL1loc(μ,G):fLp),φ,ϕμ(G)<},

    where

    fLp),φ,ϕμ(G):=sup0<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε(B|f(x)|pεdμ(x))1pε =sup0<ε<p1φ(ε)fLpε,ϕμ(G). (1.4)

    Especially, if we take φ(ε)=εθ with θ>0 in (1.4), then we can denote

    fLp),φ,ϕμ(G):=fLp),θ,ϕμ(G).

    Remark 1.4. (1) If we take the bounded domain G=Rn in Definition 1.1, then generalized Morrey space Lr,ϕμ(G) is just the generalized Morrey space Lr,ϕμ(Rn) (see [21]), namely,

    fLr,ϕμ(Rn):=supB[ϕ(μ(B))]1r(B|f(x)|rdμ(x))1r,1r<. (1.5)

    (2) If we take function ϕ(t)=tpq1 for t>0 and 1<pq<, then grand generalized Morrey space Lp),φ,ϕμ(G) defined as in (1.4) is just the grand Morrey space Lp),qμ(G) which is sightly modified in [15], that is,

    fLp),q,φμ(G)=sup0<ε<p1φ(ε)supB[μ(B)]1q1pεfLpεμ(B). (1.6)

    Throughout the whole paper, C represents a positive constant which is independent of the main parameters. Given any q(1,), let q:=q/(q1) denote its conjugate index. Furthermore, mB(f) denotes the mean value of function f over ball B, that is, mB(f)=1μ(B)Bf(y)dμ(y).

    Let G be a bounded set in Rn with non-negative Radon measure μ without mass-point and μ(G)<. Throughout the paper, for a function f:GR, we denote

    ¯f(x):={f(x), if xG0, if xG. (2.1)

    For a μ-integral function f:GR, the Hardy-Littlewood center maximal function in [12] is defined by

    MGf(x)=supr>01μ(B(x,r))B(x,r)G|f(y)|dμ(y), (2.2)

    By (2.1), if the bounded set G tends to space Rn, then Hardy-Littlewood center maximal function MG defined as in (2.2) is denoted by

    M¯f(x)=MGf(x),xG. (2.3)

    The main result of this section is stated as follows.

    Theorem 2.1. Let 1<p<, φΦp and ϕ:(0,)(0,) be an increasing function. Assume that the mapping tϕ(t)t is almost decreasing: there exists a positive constant C such that

    ϕ(t)tCϕ(s)s. (2.4)

    for st. Then MG defined as in (2.2) is bounded on Lp),φ,ϕμ(G).

    Proof. Choosing a number δ such that 0<εδ<p1, then, by applying Definition 1.3, write

    MGfLp),φ,ϕμ(G)=sup0<ε<p1φ(ε)supB[ϕ(μ(B))]1pεMGfLpεμ(B)sup0<εδφ(ε)supB[ϕ(μ(B))]1pεMGfLpεμ(B)+supδ<ε<p1φ(ε)supB[ϕ(μ(B))]1pεMGfLpεμ(B)=:D1+D2.

    For D1, by applying the Lp,ϕμ(Rn)-boundedness of M (see [21]) and (1.4), we can deduce that

    sup0<εδφ(ε)supB[ϕ(μ(B))]1pεMGfLpεμ(B)=sup0<εδφ(ε)MGfLpε,ϕμ(B)sup0<εδφ(ε)M¯fLpε,ϕμ(Rn)Csup0<εδφ(ε)fLpε,ϕμ(G)CfLp),φ,ϕμ(G).

    Now let us estimate D2. Since δ<ε<p1, then we have pδpε>1. Further, by applying Hölder's inequality and Lp,ϕμ(Rn)-boundedness of M, we have

    D2=supδ<ε<p1φ(ε)supB[ϕ(μ(B))]1pεM¯fLpεμ(B)supδ<ε<p1φ(ε)supB[ϕ(μ(B))]1pεM¯fLpδμ(B)[μ(B)]1pε1pδ=supδ<ε<p1φ(ε)[φ(δ)]1φ(δ)supB[ϕ(μ(B))]1pε[ϕ(μ(B))]1pδ×[ϕ(μ(B))]1pδM¯fLpδμ(B)[μ(B)]1pε1pδ=supδ<ε<p1φ(ε)[φ(δ)]1φ(δ)supB[ϕ(μ(B))]1pδ1pε[μ(B)]1pε1pδ×[ϕ(μ(B))]1pδM¯fLpδμ(B)supδ<ε<p1φ(ε)[φ(δ)]1[μ(G)]1pε1pδ×φ(δ)supB[ϕ(μ(B))]1pδM¯fLpδμ(B)fLp),φ,ϕμ(G)supδ<ε<p1φ(ε)[φ(δ)]1[μ(G)]εδ(pε)(pδ)CfLp),φ,ϕμ(G).

    Which, together with the estimate for D1, the proof of Theorem 2.1 is finished.

    With an argument similar to that used in the proof of Theorem 2.1, it is easy to obtain the following result on the maximal operator ˜Mr,G.

    Corollary 2.2. Let 1<p<, φΦp and ϕ:(0,)(0,) be an increasing function. Assume that the mapping tϕ(t)t is almost decreasing function satisfying (2.4). Then non-centered maximal operator ˜Mr,G is bounded on Lp),φ,ϕμ(G), where ˜Mr,G is defined by

    ˜Mr(¯f)(x)=˜Mr,G(f)(x):=supxB(1μ(B)BG|f(y)|rdμ(y))1r. (2.5)

    Let G be a bounded domain in Rn, then fractional integral operator IGα being associated with G is defined by

    IGαf(x):=Gf(y)|xy|nαdμ(y),0<α<n. (3.1)

    By applying (2.1), it is easy to see that (3.1) is equivalent to the following form

    IGαf(x)=Iα¯f(x). (3.2)

    Theorem 3.1. Let G be a bounded domain in Rn, 0<α<n, 1<p<q< and 1q=1pαn. Suppose that measure μ satisfies (1.1), and ϕ satisfies (2.4) and the following inequality

    rϕ(t)tpqdttCϕ(r)rqp. (3.3)

    We set

    ψ(ε)=[φ(pn(qε)n+α(qε))]nα(qε)+n,0<ε<q1,

    where φΦp. Then IGα is bounded from Lp),φ,ϕμ(G) to Lq),ψ,ϕpqμ(G).

    To prove the above theorem, we need the following lemma in [21].

    Lemma 3.2. Let 0<α<n, 1<p<q< and 1q=1pαn. Suppose that measure ϕ satisfies (2.4) and (3.3). Then Iα is bounded from Lp,φ,ϕμ(G) to Lq,ψ,ϕpqμ(G).

    Proof of Theorem 3.1. Via the definition of ψ and φΦp, it is easy to see that ψΦq. Let us fix σ with σ(0,q1), then write

    IGαfLq),ψ,ϕpqμ(G)=sup0<ε<q1ψ(ε)supB[ϕ(μ(B))]pqε(B|IGαf(x)|qεdμ(x))1qε=max{sup0<ε<σψ(ε)supB[ϕ(μ(B))]pqε(B|IGαf(x)|qεdμ(x))1qε,supσε<q1ψ(ε)supB[ϕ(μ(B))]pqε(B|IGαf(x)|qεdμ(x))1qε}=max{E1,E2}.

    For E2. By applying Hölder's inequality and Definition 1.3, we obtain that

    supσε<q1ψ(ε)supB[ϕ(μ(B))]pqε(B|IGαf(x)|qεdμ(x))1qεsupσε<q1ψ(ε)supB[ϕ(μ(B))]pqε{(B|IGαf(x)|qσdμ(x))qεqσ[μ(B)]1qεqσ}1qε=supσε<q1ψ(ε)supB[ϕ(μ(B))]p(εσ)(qε)(qσ)[μ(B)]εσ(qε)(qσ)×[ϕ(μ(B))]pqσ(B|IGαf(x)|qσdμ(x))1qσsupσε<q1ψ(ε)[μ(G)]εσ(qε)(qσ)supB[ϕ(μ(B))]pqσ(B|Iα¯f(x)|qσdμ(x))1qσ[μ(G)]q1σsupσε<q1ψ(ε)Iα¯fLqσ,ϕpqσμ(G)Cσ,qsup0<εσψ(ε)Iα¯fLqε,ϕpqεμ(G).

    Thus, for small constant σ>0,

    IGαfLq),ψ,ϕpqμ(G)Cσ,qsup0<εσψ(ε)Iα¯fLqε,ϕpqεμ(G).

    By applying Lemma 3.2 and (1.4), we find that there exist 0<εσ and 0<ηδ such that

    1pη1qε=αn=1p1q.

    holds. So we have

    ψ(ε)Iα¯fLqε,ϕpqεμ(G)ψ(ε)Iα¯fLqε,ϕpqεμ(Rn)Cψ(ε)¯fLqε,ϕpqεμ(Rn)Cψ(qn(pη)nα(pη))fLpη,ϕμ(G)C[φ(η)]pηqε[φ(η)]1φ(η)fLpη,ϕμ(G)CfLp),ϕμ(G).

    Further, taking the supremum on ε, we can obtain that

    IGαfLq),ψ,ϕpqμ(G)CfLp),ϕμ(G).

    Thus, the proof of Theorem 3.1 is completed.

    Definition 4.1. Let θ be a non-negative and non-decreasing function on (0,) with satisfying

    10θ(t)tdt<. (4.1)

    A kernel KθL1loc(Rn×Rn{(x,x):xRn}) is called a θ-type kernel if there exists a constant C>0 such that

    |K(x,y)|C|xy|n. (4.2)

    for all x,yRn with xy, and for all x,x,yRn with |xy|2|xx|,

    |K(x,y)K(x,y)|+|K(y,x)K(y,x)|Cθ(|xx||xy|)1|xy|n. (4.3)

    Remark 4.2. If we take the function θ(t)=tϵ with t>0 and ϵ>0, then θ-type kernel Kθ defined as in Definition 4.1 is just the standard kernel K on non-doubling measure space (see [21]).

    Definition 4.3. Let ρ(1,) and G be a bounded domain in Rn. A locally integrable function f is said to be in the space RBMO(μ) if there exist a positive constant C and, for any ball BG, a number fB such that

    1μ(ρB)B|f(x)fB|dμ(x)C. (4.4)

    and, for any two balls B and S such that BS,

    |fBfS|CKB,S, (4.5)

    where fB represents the mean value of function f over ball B, that is,

    fB:=1μ(B)Bf(y)dμ(y).

    The infimum of the positive constants C satisfying both (4.4) and (4.5) is defined to be the RBMO(μ) norm of f, and it will be denoted by fRBMO(μ) (or f).

    Let Lb(μ) be the space of all L(μ) functions with bounded support. A linear operator TGθ is called a θ-type Calderón-Zygmund operator TGθ with kernel Kθ satisfying (4.2) and (4.3) if, for all fLb(μ) and xsupp(f),

    TGθ(f)(x):=GKθ(x,y)f(y)dμ(y)=RnKθ(x,y)¯f(y)dμ(y). (4.6)

    Thus, we also denote TGθ(f)(x)=Tθ(¯f)(x).

    Given a function bRBMO(μ), the commutator [b,TGθ] which is generated by b and TGθ is defined by

    [b,Tθ](¯f)(x)=[b,TGθ](f)(x):=G(b(x)b(y))Kθ(x,y)f(y)dμ(y). (4.7)

    The main theorems of this section is stated as follows.

    Theorem 4.4. Let p(1,), φΦp and μ satisfy condition (1.1). Suppose that ϕ is a function satisfying (2.4), the doubling condition

    sup0<rs2rϕ(r)ϕ(s)<. (4.8)

    and

    rϕ(t)tdttCϕ(r)r. (4.9)

    Then TGθ defined as in (4.6) is bounded on Lp),φ,ϕμ(G), that is, there exists a constant C>0 such that, for all fLp),φ,ϕμ(G),

    TGθ(f)Lp),φ,ϕμ(G)CfLp),φ,ϕμ(G).

    Theorem 4.5. Let θ be a non-negative and non-decreasing function on (0,) with satisfying (4.1), p(1,) and K satisfy (4.2) and (4.3). Suppose that μ satisfies condition (1.1) and G is a bounded domain in Rn. Then TGθ,ε is bounded on Lp),φ,ϕμ(G), that is, there exists a constant C>0 such that, for any fLp),φ,ϕμ(G),

    TGθ,ε(f)Lp),φ,ϕμ(G)CfLp),φ,ϕμ(G),

    where the truncated operator TGθ,ε is defined by

    TGθ,εf(x):={yG:|xy|>ε}K(x,y)f(y)dμ(y),xG. (4.10)

    Moreover, we also denote TGθ,εf(x)=Tθ,ε¯f(x).

    Remark 4.6. Once we prove that {TGθ,ε}ε>0 is bounded in grand generalized Morrey space Lp,φ,ϕμ(G) uniformly on ε>0, then it is east to obtain that TGθ is bounded in grand generalized Morrey space Lp,φ,ϕμ(G). Thus, we only need to prove the Theorem 4.5.

    Theorem 4.7. Let p(1,), bRBMO(μ), φΦp and μ satisfy condition (1.1). Suppose that TGθ is bounded on L2μ(G), and ϕ is a function satisfying (2.4), (4.8) and (4.9). Then, the commutator [b,TGθ] defined as in (4.7) is bounded on Lp),φ,ϕμ(G), that is, there exists a constant C>0 such that, for all fLp),φ,ϕμ(G),

    [b,TGθ]fLp),φ,ϕμ(G)CbRBMO(μ)fLp),φ,ϕμ(G).

    To prove the above theorems, we should recall the following lemma which is slightly modified in [5].

    Lemma 4.8. Let θ be a non-negative and non-decreasing function on (0,) with satisfying (4.1), p(1,) and K satisfy (4.2) and (4.3). Suppose that μ satisfies condition (1.1). Then Tθ,ε is bounded on Lpμ(Rn), that is, there exists a constant C>0 such that, for all fLpμ(Rn),

    Tθ,ε(f)Lpμ(Rn)CfLpμ(Rn),

    where the truncated operator Tθ,ε is defined by

    Tθ,εf(x)=|xy|>εK(x,y)f(y)dμ(y),xRn. (4.11)

    Also, we should establish the following lemmas about Tθ,ε and commutator [b,Tθ].

    Lemma 4.9. Let θ be a non-negative and non-decreasing function on (0,) with satisfying (4.1), p(1,), and K satisfy (4.2) and (4.3). Suppose that ϕ is a function satisfying (2.4), (4.8) and (4.9). Then Tθ,ε defined as in (4.11) is bounded on Lp,ϕμ(Rn).

    Proof.. Let B:=B(cB,rB) be a fixed ball with center at cB and radius rB, and set ε<rB. Decompose function f as

    f:=f1+f2:=fχ2B+fχRn(2B).

    Then write

    Tθ,ε(f)Lp,ϕμ(Rn)Tθ,ε(f1)Lp,ϕμ(Rn)+Tθ,ε(f2)Lp,ϕμ(Rn)=:F1+F2.

    With an argument similar to that used in the estimate of Theorem 1.1 in [21], it is easy to see that

    F2=Tθ,ε(f2)Lp,ϕμ(Rn)CfLp,ϕμ(Rn).

    For F1. By applying (1.3), (2.4) and Lemma 4.8, we can deduce that

    Tθ,ε(f1)Lp,ϕμ(Rn)=supBRn[ϕ(μ(B))]1p(B|Tθ,ε(f1)(x)|pdμ(x))1psupBRn[ϕ(μ(B))]1p(Rn|Tθ,ε(f1)(x)|pdμ(x))1pCsupBRn[ϕ(μ(B))]1p(2B|f(x)|pdμ(x))1pCsupBRn[ϕ(μ(B))]1p[ϕ(μ(2B))]1p[ϕ(μ(2B))]1p(2B|f(x)|pdμ(x))1pCfLp,ϕμ(Rn)supBRn[μ(2B)μ(B)]1pCfLp,ϕμ(Rn).

    Which, combing the estimate of F1, the proof of Lemma 4.9 is finished.

    Moreover, we say that Tθ is bounded in Lebesgue space Lpμ(Rn) if the family of truncate operators {Tθ,ε}ε>0 is bounded in Lpμ(Rn) uniformly on ε>0, and Tθ is bounded in generalized Morrey space Lp,ϕμ(Rn) if {Tθ,ε}ε>0 is bounded in Lp,ϕμ(Rn) uniformly on ε>0, where Tθ is defined by

    Tθf(x)=RnK(x,y)f(y)dμ(y),xRn. (4.12)

    Respectively, given a function bRBMO(μ), commutator [b,Tθ] which is generated by Tθ and b is defined by

    [b,Tθ]f(x)=b(x)Tθf(x)Tθ(bf)(x). (4.13)

    Lemma 4.10. Let bRBMO(μ), θ be a non-negative and non-decreasing function on (0,) with satisfying (4.1), p(1,), and K satisfy (4.2) and (4.3). Suppose that ϕ is a function satisfying (2.4), (4.8) and (4.9). Then [b,Tθ] defined as in (4.13) is bounded on Lp,ϕμ(Rn).

    To prove Lemma 4.10, we should recall the sharp maximal function M

    Mf(x)=supBx1μ(32B)B|f(y)m˜B(f)|dμ(y)+supBS: xBB,S doubling|mB(f)mS(f)|KB,S,

    and the non-centered doubling maximal operator

    Nf(x)=supBxB doubling1μ(B)B|f(y)|dμ(y).

    By applying Lebesgue differential theorem, it is easy to see that for any fL1loc(μ),

    |f(x)|Nf(x), (4.14)

    for μ-a.e. xRn; see [22].

    Proof of Lemma 4.10. With a slightly modified argument similar to that used in the estimate of (9.4) in [22], we also obtain the following pointwise inequality on the commutator [b,Tθ]f, that is,

    M([b,Tθ]f)(x)CbRBMO(μ){˜Mr,(9/8)f(x)+˜Mr,(3/2)(Tθf)(x)+Tθ,ε(f)(x)}, (4.15)

    where, for any ρ>1, ˜Mr,(ρ) is the non-centered maximal operator defined by

    ˜Mr,(ρ)(f)(x)=supB(1μ(ρB)B|f(y)|rdμ(y))1r.

    From (4.14), the Lp,ϕμ(Rn)-boundedness of ˜Mr,(ρ) (see [21]) and Lemma 4.9, it follows that

    [b,Tθ]fLp,ϕμ(Rn)=supB[ϕ(B)]1p[b,Tθ]fLpμ(B)supB[ϕ(B)]1pN([b,Tθ]f)Lpμ(B)CsupB[ϕ(B)]1pM([b,Tθ]f)Lpμ(B)CM([b,Tθ]f)Lp,ϕμ(Rn)CbRBMO(μ){˜Mr,(9/8)fLp,ϕμ(Rn)+˜Mr,(3/2)(Tθf)Lp,ϕμ(Rn)+Tθ,ε(f)Lp,ϕμ(Rn)}CbRBMO(μ){fLp,ϕμ(Rn)+TθfLp,ϕμ(Rn)}CbRBMO(μ)fLp,ϕμ(Rn).

    which is our desired result.

    Now we state the proofs of Theorems 4.5 and 4.7 as follows.

    Proof of Theorem 4.5. Let δ be a fixed constant satisfying 0<ε<δ<p1. By applying Definition 1.3, write

    TGθ,ε(f)Lp),φ,ϕμ(G)=sup0<ε<p1φ(ε)TGθ,ε(f)Lpε,ϕμ(G)sup0<ε<δφ(ε)TGθ,ε(f)Lpε,ϕμ(G)+supδ<ε<p1φ(ε)TGθ,ε(f)Lpε,ϕμ(G)=G1+G2.

    The estimates for G1 goes as follows. From Definition 1.3 and Lemma 4.9, it follows that

    sup0<ε<δφ(ε)TGθ,ε(f)Lpε,ϕμ(G)sup0<ε<δφ(ε)Tθ,ε(¯f)Lpε,ϕμ(Rn)Csup0<ε<δφ(ε)¯fLpε,ϕμ(Rn)Csup0<ε<δφ(ε)fLpε,ϕμ(G)CfLp),φ,ϕμ(G).

    Since 0<δ<ε<p1, we notice that pδpε>1. Applying Hölder inequality and the boundedness of TGθ,ε in Lpμ(Rn) (see Lemma 4.8), we can deduce that

    supδ<ε<p1φ(ε)TGθ,ε(f)Lpε,ϕμ(G)=supδ<ε<p1φ(ε)Tθ,ε(¯f)Lpε,ϕμ(G)=supδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε(B|Tθ,ε(¯f)(x)|pεdμ(x))1pεsupδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε(B|Tθ,ε(¯f)(x)|pδdμ(x))1pδ[μ(B)]1pε1pδCsupδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε(B|¯f(x)|pδdμ(x))1pδ[μ(B)]1pε1pδCsupδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε[ϕ(μ(B))]1pδ[μ(B)]1pε1pδ×[ϕ(μ(B))]1pδ(B|f(x)|pδdμ(x))1pδCsupδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε[ϕ(μ(B))]1pδ[μ(B)]εδ(pδ)(pε)×[ϕ(μ(B))]1pδ(B|f(x)|pδdμ(x))1pδ.

    For the above result, we divide into the following cases.

    Case Ⅰ If rB>1, then, by applying (2.4), we obtain that

    [ϕ(μ(B))]1pε[ϕ(μ(B))]1pδ[μ(B)]εδ(pδ)(pε)=[μ(B)ϕ(μ(B))]εδ(pδ)(pε)
    =[ϕ(μ(B(cB,1)))ϕ(μ(B))×μ(B)ϕ(μ(B(cB,1)))]εδ(pδ)(pε)
    C[μ(B(cB,1))ϕ(μ(B(cB,1)))]εδ(pδ)(pε)C.

    Case Ⅱ If rB1, then, by applying the monotonicity of ϕ, we can deduce that

    [ϕ(μ(B))]1pε[ϕ(μ(B))]1pδ[μ(B)]εδ(pδ)(pε)[ϕ(μ(B))]1pδ[ϕ(μ(B))]1pδ[μ(B)]εδ(pδ)(pε)
      [μ(B(cB,1))]p1δC.

    Combing the cases and , we further obtain that

    supδ<ε<p1φ(ε)TGθ,ε(f)Lpε,ϕμ(G)Csupδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε[ϕ(μ(B))]1pδ[μ(B)]εδ(pδ)(pε)×[ϕ(μ(B))]1pδ(B|f(x)|pδdμ(x))1pδCsupδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pδ(B|f(x)|pδdμ(x))1pδCsupδ<ε<p1φ(ε)[φ(δ)]1φ(δ)supBG[ϕ(μ(B))]1pδ(B|f(x)|pδdμ(x))1pδCφ(p1)[φ(δ)]1fLp),φ,ϕμ(Rn)CfLp),φ,ϕμ(Rn).

    Which, together with estimate of G1, we obtain the desired result.

    Proof of Theorem 4.7. Let δ be a fixed constant satisfying 0<ε<δ<p1. By applying Definition 1.3, write

    [b,TGθ](f)Lp),φ,ϕμ(G)=sup0<ε<p1φ(ε)[b,TGθ,](f)Lpε,ϕμ(G)sup0<ε<δφ(ε)[b,TGθ](f)Lpε,ϕμ(G)+supδ<ε<p1φ(ε)[b,TGθ](f)Lpε,ϕμ(G)=F1+F2.

    The estimates for F1 is given as follows. By applying Lemma 4.10 and Definition 1.3, we obtain that

    sup0<ε<δφ(ε)[b,TGθ](f)Lpε,ϕμ(G)=sup0<ε<δφ(ε)[b,Tθ](¯f)Lpε,ϕμ(G)sup0<ε<δφ(ε)[b,Tθ](¯f)Lpε,ϕμ(Rn)CbRBMO(μ)sup0<ε<δφ(ε)¯fLpε,ϕμ(Rn)CbRBMO(μ)fLp),φ,ϕμ(G),

    where ¯f is defined as in (2.1).

    Now let us estimate F2. By virtue of Hölder's inequality, the Lpμ(Rn)-boundedness of [b,TGθ] (see Lemma 4.10) and Cases Ⅰ and Ⅱ, it then follows that

    supδ<ε<p1φ(ε)[b,TGθ](f)Lpε,ϕμ(G)=supδ<ε<p1φ(ε)[b,Tθ](¯f)Lpε,ϕμ(G)=supδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε(B|[b,Tθ](¯f)(x)|pεdμ(x))1pεCbRBMO(μ)supδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε(B|¯f(x)|pδdμ(x))1pδ[μ(B)]1pε1pδCbRBMO(μ)supδ<ε<p1φ(ε)supBG[ϕ(μ(B))]1pε[ϕ(μ(B))]1pδ[μ(B)]1pε1pδ×[ϕ(μ(B))]1pδ(B|f(x)|pδdμ(x))1pδCbRBMO(μ)fLp),φ,ϕμ(G).

    Which, together with the estimate of F1, we complete the proof of Theorem 4.7

    In this paper, we mainly obtain the boundedness of Hardy-Littlewood maximal operator, fractional integral operators and θ-type Calderón-Zygmund operators on the non-homogeneous grand generalized Morrey space Lp),φ,ϕμ(G). In addition, the boundedness of commutator [b,TGθ] which is generated by θ-type Calderón-Zygmund operator Tθ and b on spaces Lp),φ,ϕμ(G) is also established.

    This research was supported by National Natural Science Foundation of China(Grant No. 11561062).

    The authors declare that they have no conflict of interest.



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