Home Generalized parabolic Marcinkiewicz integrals associated with polynomial compound curves with rough kernels
Article Open Access

Generalized parabolic Marcinkiewicz integrals associated with polynomial compound curves with rough kernels

  • Mohammed Ali EMAIL logo and Qutaibeh Katatbeh
Published/Copyright: May 20, 2020
Become an author with De Gruyter Brill

Abstract

In this article, we study the generalized parabolic parametric Marcinkiewicz integral operators Ω,h,Φ,λ(r) related to polynomial compound curves. Under some weak conditions on the kernels, we establish appropriate estimates of these operators. By the virtue of the obtained estimates along with an extrapolation argument, we give the boundedness of the aforementioned operators from Triebel-Lizorkin spaces to Lp spaces under weaker conditions on Ω and h. Our results represent significant improvements and natural extensions of what was known previously.

1 Introduction

Throughout this article, let Rn (n ≥ 2) be the n-dimensional Euclidean space and Sn−1 be the unit sphere in Rn equipped with the normalized Lebesgue surface measure dσ = dσ(·). Let α1, α2,…,αn be fixed real numbers in the interval [1, ∞). Define the function H: Rn × R+R by H(x,ρ)=i=1nxi2ρ2αi with x = (x1, x2,…,xn) ∈ Rn. Then, for each fixed xRn, the function H(x, ρ) is a strictly decreasing function in ρ > 0. We denote the unique solution of the equation H(x, ρ) = 1 by ρ = ρ(x). Fabes and Riviére showed in ref. [1] that (Rn, ρ) is a metric space, which is known by the mixed homogeneity space related to {αi}i=1n.

For ρ > 0, let Aρ be the diagonal n × n matrix:

Aρ=[ρα100ραn].

The change of variables related to the space (Rn, ρ) is given by the transformation

x1=ρα1cosϑ1cosϑn2cosϑn1,x2=ρα2cosϑ1cosϑn2sinϑn1,xn1=ραn1cosϑ1sinϑ2,xn=ραnsinϑ1.

Hence, dx = ρα−1J(x′)dρdσ(x′), where ρα−1J(x′) is the Jacobian of the above transforms,

xSn1,α=i=1nαi,andJ(x)=i=1nαi(xi)2.

The authors of ref. [1] showed that J(x′) is a C(Sn1) function, and there exists a constant L, such that 1 ≤ J(x′) ≤ L.

For a suitable mapping Φ: RnRn, we define the generalized parabolic parametric Marcinkiewicz integral operators Ω,h,Φ,λ(r), initially for C0 functions on Rn, by

Ω,h,Φ,λ(r)(f)(x)=(0|1tλρ(u)tf(xΦ(u))Ω(x)h(ρ(x))ρ(x)αλdu|rdtt)1/r,

where r > 1; λ = τ + σi (τ, σR with τ > 0); h: R+C is a measurable function; and Ω is a real valued function on Rn, integrable on Sn−1 and satisfies the conditions.

(1.1)Ω(Aρx)=Ω(x),ρ>0,
(1.2)Sn1Ω(x)J(x)dσ(x)=0.

We point out if α1 = ⋯ = αn = 1, then we have α = n, ρ(x) = |x| and (Rn,ρ) = (Rn,|·|). In this case, Ω,h,Φ,λ(r) is denoted by Ω,h,Φ,λ(r). Also, when Φ(u) = u, h = 1, and r = 2, then the operator Ω,h,Φ,λ(r,c), denote by Ω,λ, reduces to the classical parametric Marcinkiewicz integral operator. Historically, the operator Ω,λ was introduced by Stein [2] and proved the Lp (1 < p ≤ 2) boundedness of Ω,1 provided that ΩLipα(Sn−1) with 0 < α ≤ 1. Subsequently, this result was investigated and improved by many researchers (see, for example, refs. [3,4,5,6]). The study of the boundedness of the operator Ω,λ was performed by Hörmander [7]. As a matter of fact, he showed that if λ > 0 and ΩLipα(Sn−1) with α > 0, then Lp(Rn) (1 < p < ∞) boundedness of Ω,λ is satisfied. Later on, the study of the operator Ω,h,Φ,λ(2,c) under very various conditions on the kernels has been considered by many authors. For more information about the importance and the recent advances on the study of such operators, we refer the readers to refs. [8,9,10,11,12,13,14,15], as well as ref. [16], and the references therein.

Conversely, there has been a considerable amount of mathematicians with respect to the study of the boundedness of the generalized parametric Marcinkiewicz integrals Ω,h,Φ,λ(r,c). This operator was first introduced by Chen et al. [17] and showed that whenever Φ(u) = u, h ≡ 1, and ΩLq(Sn−1) for some q > 1, then a positive constant C exists such that

(1.3)Ω,h,Φ,λ(r,c)fLp(Rn)CfḞp,r0(Rn)

holds for all 1 < p, r < ∞, where f belongs to the homogeneous Triebel-Lizorkin space Ḟp,rα(Rn). Afterward, Le [18] improved the aforementioned result. Precisely, he established the inequality (1.3) for all p, r ∈ (1,∞) under the conditions that Φ(u) = u, ΩL(log L)(Sn−1) and hΔmax{r,2}(R+). For the significance and recent advances on the study of such operators, readers may refer to [16,19,20,21,22,23].

Although many problems concerning the boundedness of the operator Ω,h,Φ,λ(r,c) remain open, the investigation to verify the boundedness of the parametric Marcinkiewicz operators with mixed homogeneity has been started.

Again when Φ(u) = u, λ = h = 1, and r = 2, then the operator Ω,h,Φ,λ(r) recovers the classical parabolic Marcinkiewicz integral operator, denoted by μΩ, which was introduced by Ding et al. [24]. In particular, Ding et al. [24] proved that the parabolic Littlewood-Paley operator μΩ is of type (p,p) for all p ∈ (1,∞) provided that ΩLq(Sn−1) for q > 1. Subsequently, the study of the Lp boundedness of Ω,h,Φ,λ(2) under various conditions on the kernel functions has been carried out by many researchers (see, for example, refs. [25,26,27,28,29,30]).

Let us recall the definition of the Triebel-Lizorkin spaces. For 1 < p, r < ∞ and αR, the homogeneous Triebel-Lizorkin space Ḟp,rα(Rn) is defined by

Ḟp,rα(Rn)={fS(Rn):fḞp,rα(Rn)=(kZ2kαr|Λk×f|r)1/rLp(Rn)<},

where S denotes the tempered distributions class on Rn, Λk^(ξ)=Γ(2kξ) for kZ, and ΓC0(Rn) is a radial function satisfying the following conditions:

(i) 0 ≤ Γ ≤ 1;

(ii) suppΓ{ξ:12|ξ|2};

(iii) Γ(ξ)c>0if35|ξ|53;

(iv) jZΓ(2jξ)=1(ξ0).

The following properties of the Triebel-Lizorkin space are well known (for more details, see ref. [31]).

(a) S(Rn) is dense in Ḟp,rα(Rn);

(b) Ḟp,20(Rn)=Lp(Rn)for1<p<;

(c) Ḟp,r1α(Rn)Ḟp,r2α(Rn)ifr1<r2;

(d) (Ḟp,rα(Rn))=Ḟp,rα(Rn).

Let Δγ(R+) (for γ ≥ 1) denote the collection of all measurable functions h:[0,∞) → C, satisfying

hΔγ(R+)=supR>0(1R0R|h(ρ)|γdρ)1/γ<.

Also, let Nγ(R+) denote the set of all measurable functions h: R+C that satisfy the condition

Nγ(h)=k=12kkγdk(h)<,

where dk(h)=supjZ2j|E(j,k)| with E(j,1) = {ρ ∈ (2j,2j+1]:|h(ρ)| ≤ 2} and E(j,k) = {ρ ∈ (2j,2j+1]:2k−1 < |h(ρ)| ≤ 2k} for k ≥ 2.

It is clear that Δγ(R+)=L(R+)Δγ1(R+)Δγ2(R+)for1<γ2<γ1< and Δγ(R+)Nβ(R+)foranyβ>0and1<γ<.

In this study, the class F denoted the set of all positive, increasing C1 functions ϕ:(0,∞) → R+ satisfying the following conditions:

(i) ′(t) ≥ Cϕϕ(t) for all t > 0; and

(ii) ϕ(2t) ≤ cϕϕ(t) for all t > 0,where Cϕ, cϕ are independent of t. There are many model examples for the class F such as td with d > 0, tι(ln(1 + t)κ) with ι, κ > 0, real-valued polynomials P on R with positive coefficients and P(0) = 0, and so on.

Let us recall some useful spaces related to our work. For κ > 0, the space L(log L)κ(Sn−1) is denoted to the set of all measurable functions Ω that satisfies

ΩL(logL)κ(Sn1)=(Sn1)|Ω(u)|log(2+|Ω(u)|)dσ(u)<.

The block space that was introduced in ref. [32] is denoted by Bq(0,ν)(Sn1) (for ν > −1 and q > 1).

The main results of this paper are formulated as follows:

Theorem 1.1

LetϕF, and letΦ(u)=(P1(ϕ(ρ(u)))u1,P2(ϕ(ρ(u)))u2,,Pn(ϕ(ρ(u)))un)with Pjbeing real valued polynomials onRsatisfying Pj(0) = 0 for j = 1, 2,…, n. Suppose that Ω satisfies the conditions (1.1) and (1.2), ΩLq(Sn−1) for some 1 < q ≤ 2 and hΔγ(R+) for some 1 < γ ≤ 2. Then, for anyfḞp,r0(Rn), there exists a constant C > 0, such that

(1.4)Ω,h,Φ,λ(r)(f)Lp(Rn)C(q1)1(γ1)1hΔγ(R+)ΩLq(Sn1)fḞp,r0(Rn)
for 1 < p < r; and
(1.5)Ω,h,Φ,λ(r)(f)Lp(Rn)C(q1)1/r(γ1)1/rhΔγ(R+)ΩLq(Sn1)fḞp,r0(Rn)
for rp < ∞.

Theorem 1.2

Φ and Ω be given as in Theorem 1.1. Assume that hΔγ(R+) for some γ > 2. Then, there is a positive constant C, such that

(1.6)Ω,h,Φ,λ(r)(f)Lp(Rn)C(q1)1/rhΔγ(R+)ΩLq(Sn1)fḞp,r0(Rn)
for 1 < p < r if rγand 2 < γ < ∞; and
(1.7)Ω,h,Φ,λ(r)(f)Lp(Rn)C(q1)1/rhΔγ(R+)ΩLq(Sn1)fḞp,r0(Rn)
for γ′ < p < ∞ if 2 < γ ≤ ∞ and γ′ < r.

By the conclusions from Theorems 1.1 and 1.2 and following the same extrapolation arguments used in refs. [9,20,29,33,34], we have the following:

Theorem 1.3

Suppose that Ω satisfies (1.1) and (1.2), Φ is given as in Theorem 1.1 andhN1/r(R+).

(i) IfΩBq(0,1r1)(Sn1)forsomeq>1, then

Ω,h,Φ,λ(r)(f)Lp(Rn)C(1+ΩBq(0,1r1)(Sn1))(1+N1/r(h))fḞp,r0(Rn)
for rp < ∞; and

(ii) If ΩL(log L)1/r(Sn−1), then

Ω,h,Φ,λ(r)(f)Lp(Rn)C(1+ΩL(logL)1/r(Sn1))(1+N1/r(h))fḞp,r0(Rn)
for rp < ∞.

Theorem 1.4

Let Ω, Φ be given as in Theorem 1.3, and lethN1(R+).

(i) IfΩBq(0,0)(Sn1)forsomeq>1, then

Ω,h,Φ,λ(r)(f)Lp(Rn)C(1+ΩBq(0,0)(Sn1))(1+N1(h))fḞp,r0(Rn)
for 1 < p < r; and

(ii) If ΩL(log L)(Sn−1), then

Ω,h,Φ,λ(r)(f)Lp(Rn)C(1+ΩL(logL)(Sn1))(1+N1(h))fḞp,r0(Rn)
for 1 < p < r.

Theorem 1.5

Let Ω satisfies (1.1) and (1.2), hΔγ(R+) for some γ > 2 and Φ be given as in Theorem 1.1.

(i) IfΩBq(0,1r1)(Sn1)forsomeq>1, then

Ω,h,Φ,λ(r)(f)Lp(Rn)C(1+ΩBq(0,1r1)(Sn1))hΔγ(R+)fḞp,r0(Rn)
for 1 < p < r if rγand 2 < γ < ∞; and for γ′ < p < ∞ if γ′ < r and 2 < γ ≤ ∞.

(ii) If ΩL(log L)1/r(Sn−1), then

Ω,h,Φ,λ(r)(f)Lp(Rn)C(1+ΩL(logL)1/r(Sn1))hΔγ(R+)fḞp,r0(Rn)
for 1 < p < r if rγand 2 < γ < ∞; and for γ′ < p < ∞ if γ′ < r and 2 < γ ≤ ∞.

The constantC=Cn,λ,p,ϕ,max1jndeg(Pj)in Theorems 1.1–1.5 is independent of Ω, h, γ, q, and the coefficients of Pjfor 1 ≤ jn.

It is worth mentioning to the following remark related to our results and their optimality.

Remark 1.6

(1) Al-Qassem and Al-Salman [6] found that Ω,1 is bounded on Lp(Rn) for 1 < p < ∞ under the condition ΩBq(0,1/2)(Sn1) with q > 1. Moreover, they established the optimality of the condition ΩBq(0,1/2)(Sn1) in the sense that the exponent −1/2 in Bq(0,1/2)(Sn1) cannot be replaced by any smaller number −1 < ε < −1/2 for the L2 boundedness of Ω,1 to hold.

(2) Walsh [4] proved that Ω,1 is bounded on L2(Rn) whenever ΩL(log L)1/2(Sn−1). Furthermore, he showed that the condition ΩL(log L)1/2(Sn−1) is optimal in the sense that the operator Ω,1 may lose the L2 boundedness if Ω is assumed to be in the space ΩL(log L)ε(Sn−1) for some 0 < ε < 1/2.

(3) If Φ(u) = u, then, Al-Qassem et al. [20] established the boundedness of the parametric Marcinkiewicz integral operator Ω,h,Φ,λ(r,c) under the same our conditions on Ω, h, and r.

(4) The Lp boundedness of the parametric Marcinkiewicz operators with mixed homogeneity Ω,h,Φ,λ(2) was satisfied [29] only when hN1/2(R+), ΩL(log L)1/2(Sn−1), and Φ is given as in Theorem 1.1.

Here and henceforth, the letter C denotes a positive constant that may be different at different occurrences and independent of the essential variables.

2 Some notations and lemmas

In this section, we give some lemmas, which we shall need in the proof of the main results. Let N=max1jndeg(Pj). For 1 ≤ sN and 1 ≤ ln, let Pl(s)(t)=i=1sci,lti and P(s)(t)=(P1(s)(t),,Pn(s)(t)). Set P(0)(t) = 0, Pl(t)=i=1Nci,lti with 1 ≤ ln and Φs(u)=(P1(s)(ϕ(ρ(u)))u1,P2(s)(ϕ(ρ(u)))u2,,Pn(s)(ϕ(ρ(u)))un).

Let θ ≥ 2. For a suitable measurable function h: R+C, a suitable function ϕ: R+R, and Ω: Sn−1R, we define the family of measures {σΩ,ϕ,h,ts:=σh,ts:tR+,1sN} and the corresponding maximal operators σh,s and Mh,θ,s on Rn by

σh,ts^(ξ)=tλt/2ρ(u)teiξΦs(u)Ω(u)h(ρ(u))ρ(u)αλ)du;
σh,s(f)(x)=suptR+||σh,ts|×f(x)|;

and

Mh,θ,s(f)(x)=supkZθkθk+1||σh,ts|×|f(x)|dtt,

where

ξΦs(u)=l=1nξlulP(s)(ϕ(ρ(u)))=i=1s(Li(ξ)ul)ϕ(ρ(u))i,
Li: RnRn is given by Li(ξ) = (ci,1ξ1,…,ci,nξn), and |σh,ts| is defined in the same way as σh,ts, but with replacing h by |h| and Ω by |Ω|. We write σh,ts for the total variation of σh,ts.

We shall need the following lemma from ref. [29].

Lemma 2.1

Let ΩLq(Sn−1) for some 1 < q ≤ 2 satisfying (1.1) and (1.2), hΔγ(R+) for some 1 < γ ≤ 2, and θ = 2qγ. Suppose thatϕF. Then, for 0 ≤ sN and any 1 < p < ∞, the following inequalities

(2.1)Mh,θ,s(f)Lp(Rn)C(q1)1(γ1)1hΔγ(R+)ΩLq(Sn1)fLp(Rn),
(2.2)σh,s(f)Lp(Rn)C(q1)1(γ1)1hΔγ(R+)ΩLq(Sn1)fLp(Rn),
hold, where the positive constant C = Cn,p,ϕis independent of h, Ω, γ, q, and the coefficients of Pjfor 1 ≤ jn.

By using Lemma 2.2 from [29], we directly obtain the following lemma.

Lemma 2.2

Let Ω, ϕ be given as in Lemma 2.1, and let hΔγ(R+) for some γ > 1. Then, for any 1 ≤ sN, t > 0 and ξRn, there exists a constant C > 0, such that

(2.3)max{σh,ts,|σh,ts^(ξ)|,||σh,ts|(ξ)|^}ChΔγ(R+)ΩLq(Sn1),
(2.4)max{|σh,ts^(ξ)|σh,ts1^(ξ)|,||σh,ts^|(ξ)||σh,ts1^|(ξ)|}CΩLq(Sn1)hΔγ(R+)(ϕ(t)s|Ls(ξ)|)12sqA(γ),
(2.5)max{|σh,ts^(ξ)|,||σh,ts|(ξ)^|}CΩLq(Sn1)hΔγ(R+)(ϕ(t)s|Ls(ξ)|)12sqA(γ),
whereA(γ)={γif1<γ2,1ifγ>2.. The constant C is independent of Ω, h, γ, and q, but depends on ϕ.

To prove Theorem 1.1, we employ the next lemmas with arguments similar to those in refs. [20] and [29].

Lemma 2.3

Let hΔγ(R+) for some 1 < γ ≤ 2 and ΩLq(Sn−1) for some 1 < q ≤ 2 and θ = 2qγ. Assume that ϕ is given as in Lemma 2.1, and r is a real number with r > 1. Then, for 0 ≤ sN, there exists a constant C > 0, such that

(2.6)(kZθkθk+1|σh,ts×gk|rdtt)1/rLp(Rn)C(q1)1r(γ1)1r×hΔγ(R+)ΩLq(Sn1)(kZ|gk|r)1/rLp(Rn),rp<
and
(2.7)(kZθkθk+1|σh,ts×gk|rdtt)1/rLp(Rn)C(q1)1(γ1)1×hΔγ(R+)ΩLq(Sn1)(kZ|gk|r)1/rLp(Rn),1<p<r
hold for arbitrary functions {gk(·), kZ} onRn. The constant C = Cn,p,ϕis independent of Ω, h, γ, q, and the coefficients of {Pj} for all 1 ≤ jn.

Proof

First, we prove (2.6). For fixed p with rp < ∞, by duality, there is a nonnegative function ψL(p/r)′(Rn) with ψL(p/r)(Rn)1, such that

(2.8)(kZθkθk+1|σh,ts×gk|rdtt)1/rLp(Rn)r=RnkZθkθk+1|σh,ts×gk(x)|rdttψ(x)dx.

A simple change of variable and Hölder’s inequality lead to

(2.9)|σh,ts×gk(x)|rChΔ1(R+)(r/r)ΩL1(Sn1)(r/r)×t/2tSn1|gk(xΦs(Aρu)|r|Ω(u)|J(u)dσ(u)|h(ρ)|dρρ.

Hence, by (2.8) and (2.9) and Hölder’s inequality, we have that

(kZθkθk+1|σh,t×gk|rdtt)1/rLp(Rn)rChΔ1(R+)(r/r)ΩL1(Sn1)(r/r)Rn(kZ|gk(x)|r)M|h|,θ,sψ˜(x)dxChΔ1(R+)(r/r)ΩL1(Sn1)(r/r)kZ|gk|rL(p,r)(Rn)M|h|,θ,s(ψ˜)L(p/r)(Rn),

where ψ˜(x)=ψ(x). Therefore, by Lemma 2.1 and the assumption on ψ, we obtain

(2.10)(kZθkθk+1|σh,ts×gk|rdtt)1/rLp(Rn)C(q1)1r(γ1)1r×hΔγ(R+)ΩLq(Sn1)(kZ|gk|r)1/rLp(Rn)

for r < p < ∞. Now if p = r, then by Hölder’s inequality (2.9) and Lemma 2.1, we obtain

(2.11)(kZθkθk+1|σh,ts×gk|rdtt)1/rLp(Rn)rChΔ1(R+)(r/r)ΩL1(Sn1)(r/r)×kZRnθkθk+1t/2tSn1|gk(xΦs(Aρu))|r|Ω(u)|J(u)|h(ρ)|dσ(u)dρρdttdxC(q1)1(γ1)1hΔ1(R+)(r/r)+1ΩL1(Sn1)(r/r)+1Rn(kZ|gk(x)|r)p/rdx

which shows that (2.6) is satisfied for the case p = r.

Next, we prove (2.7). Let 1 < p < r. By the duality, there exist functions {φk(x,t)} defined on Rn × R+ with φkLr([θk,θk+1],dtt)lrLp(Rn)1, such that

(2.12)(kZθkθk|σh,ts×gk|rdtt)1/rLp(Rn)=RnkZθkθk+1(σh,ts×gk(x))φk(x,t)dttdxC(q1)1/r(γ1)1/r(H(φ))1/rLp(Rn)(kZ|gk|r)1/rLp(Rn),

where

H(φ)(x)=kZθkθk|σh,ts×φ˜k(x,t)|rdttandφ˜k(x,t)=φk(x,t).

Since p′ > r′, there is a nonnegative function bL(p′/r′)(Rn), such that

(2.13)H(φ)L(p/r)(Rn)=kZRnθkθk+1|σh,ts×φ˜k(x,t)|rdttb(x)dx.

Following the same above argument, we obtain

(2.14)H(φ)L(p/r)(Rn)ChΔγ(R+)(r/r)ΩL1(Sn1)(r/r)×σ|h|,s(b˜)L(p/r)(Rn)(kZθkθk+1|φk(,t)|rdtt)L(p/r)(Rn)C(q1)1(γ1)1hΔγ(R+)(r/r)+1ΩLq(Sn1)(r/r)+1b˜L(p/r)(Rn),

where b˜(x)=b(x). Therefore, the inequality (2.7) follows from (2.12) and (2.14). This completes the proof of Lemma 2.3.□

In the same manner, we establish the following:

Lemma 2.4

Let hΔγ(R+) for some 2 ≤ γ < ∞ and ΩLq(Sn−1) for some 1 < q ≤ 2 and θ = 2q. Suppose that ϕ is given as in Lemma 2.1, and r is a real number with rγ. Then, for 0 ≤ sN and 1 < p < r, a positive constant C exists such that the inequality

(kZθkθk+1|σh,ts×gk|rdtt)1/rLp(Rn)C(q1)1/rhΔγ(R+)ΩLq(Sn1)(kZ|gk|r)1/rLp(Rn)
holds for arbitrary functions {gk(·), kZ} onRn. The constant C = Cn,p,ϕis independent of Ω, h, γ, q, and the coefficients of {Pj} for all 1 ≤ jn.

Proof

Let 1 < p < r with rγ′, by the duality, there are functions {φk(x,t)} defined on Rn × R+ with φkLr([θk,θk+1],dtt)lrLp(Rn)1, such that

(2.15)(kZθkθk|σh,ts×gk|rdtt)1/rLp(Rn)=RnkZθkθk+1(σh,ts×gk(x))φk(x,t)dttdxC(q1)1/r(H(φ))1/rLp(Rn)(kZ|gk|r)1/rLp(Rn),

where

H(φ)(x)=kZθkθk|σh,ts×φ˜k(x,t)|rdttandφ˜k(x,t)=φk(x,t).

Since γ ≥ 2 and γr′, we get that rγ′ ≤ 2 ≤ γ. So by Hölder’s inequality, we obtain

(2.16)|σh,ts×φ˜k(x,t)|rChΔγ(R+)rΩL1(Sn1)(r/r)θkθk+1Sn1|Ω(u)|×|φk(xΦs(Aρu),t)|rdσ(u)dρρ.

Notice that for any bLp(Rn) with 1 < p < ∞, we have

|σ1,ts|×|b|(x)Sn1|Ω(u)|t/2t|b(xΦs(Aρu))|dρρdσ(u)CSn1|Ω(u)|P(ϕ)b(x)dσ(u),

where

P(ϕ)b(x)=supt>01t0t|b(xΦs(Aρu))|dρ.

So, by using Lemma 2.2 from [35], we obtain

(2.17)σ1,s(b)Lp(Rn)CSn1|Ω(u)|P(ϕ)(b)Lp(Rn)dσ(u)CϕΩL1(Sn1)bLp(Rn).

Since p′ > r′, there is a nonnegative function bL(p′/r′)(Rn), such that

(2.18)H(φ)L(p/r)(Rn)=kZRnθkθk+1|σh,ts×φ˜k(x,t)|rdttb(x)dx.

Hence, by simple change of variables, Hölder’s inequality, and (2.16)–(2.18), we obtain

(2.19)H(φ)L(p/r)(Rn)ChΔγ(R+)rΩL1(Sn1)(r/r)σ1,s(b)L(p/r)(Rn)×(kZθkθk+1|φk(,t)|rdtt)L(p/r)(Rn)ChΔγ(R+)rΩL1(Sn1)(r/r)+1bL(p/r)(Rn).

Therefore, when we combine (2.19) by (2.15), we complete the proof of Lemma 2.4□

Lemma 2.5

Let Ω, h, ϕ, and θ be given as in Lemma 2.4, and let r be a real number with r > γ. Then, for 0 ≤ sN and γ′ < p < ∞, there exists a constant C > 0, such that

(kZθkθk+1|σh,ts×gk|rdtt)1/rLp(Rn)C(q1)1/rhΔγ(R+)ΩLq(Sn1)(kZ|gk|r)1/rLp(Rn)
for arbitrary functions {gk(·), kZ} onRn. The constant C = Cn,p,ϕis independent of Ω, h, γ, q, and the coefficients of {Pj} for all 1 ≤ jn.

Proof

We follow the same aforementioned procedure as in (2.9); by a change of variable and Hölder’s inequality, we obtain

(2.20)|σh,θkts×gk(x)|γChΔγ(R+)γΩL1(Sn1)(γ/γ)×θktθktSn1|gk(xΦs(Aρu)|γ|Ω(u)|J(u)dσ(u)dρρ.

Since γ′ < p < ∞ with γ′ < r, then by duality, there exists a nonnegative function ψL(p/r′)(Rn) with ∥ψL(p/r′)′(Rn) ≤ 1, such that

kZ1θ|σh,θkts×gk|γdttL(p/γ)(Rn)=RnkZ1θ|σh,θkts×gk(x)|γdttψ(x)dx.

Hence, by (2.20), simple change of variable, Hölder’s inequality, and (2.17), we obtain

kZ1θ|σh,θkts×gk|γdttL(p/γ)(Rn)ChΔγ(R+)γΩL1(Sn1)(γ/γ)RnkZ|gk(x)|γσ1,sψ˜(x)dxChΔγ(R+)γΩL1(Sn1)(γ/γ)kZ|gk|γL(p/γ)(Rn)σ1,s(ψ˜)L(p/γ)(Rn)ChΔγ(R+)γΩLq(Sn1)(γ/γ)+1(kZ|gk|γ)1/γLp(Rn)γ,

where ψ˜(x)=ψ(x). Since 1 < q ≤ 2, we deduce that

(2.21)(kZ1θ|σh,θkts×gk|γdtt)1/γLp(Rn)C(q1)1/γhΔγ(R+)ΩLq(Sn1)(kZ|gk|γ)1/γLp(Rn)

for any γ′ < p < ∞. Define the linear operator T on {gk(x)} by T(gk(x))=σh,θkts×gk(x). On the one hand, by (2.21), we have

(2.22)T(gk)Lγ([1,θ],dtt)lγ(Z)Lp(Rn)(kZ1θ|σh,θkts×gk|γdtt)1/γLp(Rn)C(q1)1/γhΔγ(R+)ΩLq(Sn1)(kZ|gk|γ)1/γLp(Rn)

for all γ′ < p < ∞ with γ ≥ 2. On the other hand, by Hölder’s inequality and (2.17), one can check that

supkZsupt[1,θ]|σh,θkts×gk|Lp(Rn)σh,s(supkZ|gk|)Lp(Rn)CphΔγ(R+)ΩLq(Sn1)supkZ|gk|Lp(Rn)

for all γ′ < p < ∞, which gives

(2.23)T(gk)L([1,θ],dtt)l(Z)Lp(Rn)CphΔγ(R+)ΩLq(Sn1)×gkl(Z)Lp(Rn).

Consequently, by interpolation (2.22) with (2.23), and using the fact

(kZθkθk+1|σh,ts×gk|rdtt)1/rLp(Rn)C(kZ1θ|σh,θkts×gk|rdtt)1/rLp(Rn).

This completes the proof of Lemma 2.5.□

3 Proof of the main results

Proof of Theorem 1.1

We prove Theorem 1.1 by applying similar techniques used in [20] and [29]. Assume that hΔγ(R+) for some γ ∈ (1,2] and ΩLq(Sn−1) for some q ∈ (1,2] satisfy (1.1) and (1.2). Thanks to Minkowski’s inequality, we have that

(3.1)Ω,h,Φ,λ(r)(f)(x)k=0(0|tλ2k1t<ρ(t)2ktf(xΦ(u))Ω(x)h(ρ(x))ρ(x)αλdu|rdtt)1/r=2τ2τ1(0|σh,tNf(x)|rdtt)1/r.

Let ψC0 be supported in {|t| ≤ 1} and ψ(t) ≡ 1 for |t| ≤ 1/2. For 1 ≤ sN, t > 0 and ξRn, define the family of measures {ωt,s} by

(3.2)ωt,s^(ξ)=σh,ts^(ξ)s<jNψ(ϕ(t)j|RjπνjnQj(ξ)|)σh,ts1^(ξ)s1<jNψ(ϕ(t)j|RjπνjnQj(ξ)|),

where νj = rank(Lj); Rj:RνjRνj and Qj: RnRn are two nonsingular linear transformations satisfying

(3.3)|RjπνjnQj(ξ)||Lj(ξ)|C|RjπνjnQj(ξ)|

and πνjn is a projection operator from Rn to Rνj. It is easy to check that

(3.4)σh,tN=s=1Nωt,s,

which leads to

(3.5)Ω,h,Φ,λ(r)(f)(x)Cs=1N(0|ωt,s×f(x)|rdtt)1/r:=Cs=1NMs(f)(x).

Let θ = 2qγ, and let {Γk}kZ be a smooth partition of unity in (0, ∞), such that

suppΓk[ϕ(θk+1)s,ϕ(θk1)s],kZΓk(t)=1,
0Γk1,and|djΓk(t)dtj|CjtjforjN,andt>0.

Let Λk(f)^(ξ)=Γk(|RsπνsnQs(ξ)|)fˆ(ξ). Then, for fS(Rn), one can deduce

(3.6)Ms(f)(x)CjZGs,j(r)(f)(x),

where

Gs,j(r)(f)(x)=(0|s,j(x,t)|rdtt)1/r,
s,j(x,t)=kZΛk+j×ωt,s×(f)(x)χ(θk,θk+1)(t).

By the definition of ωt,s, Lemma 2.3, and Littlewood-Paley theorem, we obtain that

(3.7)Gs,j(r)(f)Lp(Rn)(kZθkθk+1|ωt,s×Λj+kf|rdtt)1/rLp(Rn)C(q1)1/r(γ1)1/rhΔγ(R+)ΩLq(Sn1)(kZ|Λj+kf|r)1/rLp(Rn)C(q1)1/r(γ1)1/rhΔγ(R+)ΩLq(Sn1)fḞp,r0(Rn)

for rp < ∞; and

(3.8)Gs,j(r)(f)Lp(Rn)C(q1)1(γ1)1hΔγ(R+)ΩLq(Sn1)fḞp,r0(Rn)

for 1 < p < r. Howevere, the Lp-norm of Gj,s(r) for the case p = r = 2 can be estimated as follows: Notice that for this case, we have fḞ2,20(Rn)=fL2(Rn). So, by Lemma 2.2, the definition of ωt,s, and Plancherel’s theorem, we obtain

(3.9)Gj,s(2)(f)L2(Rn)2=kZRn|Λj+k(|RsπνsnQs(ξ)|)|2|fˆ(ξ)|2(θkθk+1|ωt,s^(ξ)|2dtt)dξkZj+k,θ(θkθk+1|ωt,s^(ξ)|2dtt)|fˆ(ξ)|2dξC(γ1)1(q1)1hΔγ(R+)2ΩLq(Sn1)2Bj2fL2(Rn)2,

where

k,θ={ξRn:ϕ(θk+1)s|RsπνsnQs(ξ)|ϕ(θk1)s};Bj=Dϕ(2j)/2χ{j2}+Dϕ(j)/2χ{j<2}

and Dϕ > 1 is a constant satisfies ϕ(2t) ≥ Dϕϕ(t) for all t > 0. Therefore,

(3.10)Gj,s(2)(f)L2(Rn)CBj(γ1)1/2(q1)1/2hΔγ(R+)ΩLq(Sn1)fḞ2,20(Rn).

Consequently, interpolation among (3.7), (3.8), and (3.10) and then using (3.5) and (3.6), we complete the proof of Theorem 1.1.□

Proof of Theorem 1.2

To prove Theorem 1.2, we follow the same above arguments by invoking Lemmas 2.4–2.5 instead of Lemma 2.3 as well as θ = 2q instead of θ = 2qγ.□

Acknowledgement

The author would like to thank Dr. Al-Qassem for his suggestions and comments on this work.

References

[1] E. Fabes and N. Riviére, Singular integrals with mixed homogeneity, Studia Math. 27 (1966), no. 1, 19–38.10.4064/sm-27-1-19-38Search in Google Scholar

[2] E. Stein, On the functions of Littlewood-Paley, Lusin and Marcinkiewicz, Trans. Am. Math. Soc. 88 (1958), 430–466.10.1090/S0002-9947-1958-0112932-2Search in Google Scholar

[3] A. Benedek, A. P. Calderon, and R. Panzone, Convolution operators on Banach space valued functions, Proc. Natl. Acad. Sci. U S A 48 (1962), 356–365.10.1073/pnas.48.3.356Search in Google Scholar

[4] T. Walsh, On the function of Marcinkiewicz, Studia Math. 44 (1972), no. 3, 203–217.10.4064/sm-44-3-203-217Search in Google Scholar

[5] A. Al-Salman, H. Al-Qassem, L. Cheng, and Y. Pan, Lp bounds for the function of Marcinkiewicz, Math. Res. Lett. 9 (2002), 697–700.10.4310/MRL.2002.v9.n5.a11Search in Google Scholar

[6] H. Al-Qassem and A. Al-Salman, A note on Marcinkiewicz integral operators, J. Math. Anal. Appl. 282 (2003), no. 2, 698–710.10.1016/S0022-247X(03)00244-0Search in Google Scholar

[7] L. Hörmander, Estimates for translation invariant operators in Lp space, Acta Math. 104 (1960), 93–139.10.1007/BF02547187Search in Google Scholar

[8] H. Al-Qassem and Y. Pan, Lp estimates for singular integrals with kernels belonging to certain block spaces, Rev. Mat. Iberoam. 18 (2002), no. 3, 701–730.10.4171/RMI/333Search in Google Scholar

[9] H. Al-Qassem and Y. Pan, On certain estimates for Marcinkiewicz integrals and extrapolation, Collect. Math. 60 (2009), no. 2, 123–145.10.1007/BF03191206Search in Google Scholar

[10] M. Ali and A. Al-Senjlawi, Boundedness of Marcinkiewicz integrals on product spaces and extrapolation, Int. J. Pure Appl. Math. 97 (2014), no. 1, 49–66.10.12732/ijpam.v97i1.6Search in Google Scholar

[11] M. Ali and E. Janaedeh, Marcinkiewicz integrals on product spaces and extrapolation, Glob. J. Pure Appl. Math. 12 (2016), no. 2, 1451–1463.Search in Google Scholar

[12] Y. Ding, On Marcinkiewicz integral, Proceedings of the Conference Singular Integrals and Related Topics III, Osaka, Japan, 2001.Search in Google Scholar

[13] Y. Ding, D. Fan, and Y. Pan, On the Lp boundedness of Marcinkiewicz integrals, Mich. Math. J. 50 (2002), no. 1, 17–26.10.1307/mmj/1022636747Search in Google Scholar

[14] Y. Ding, S. Lu, and K. Yabuta, A problem on rough parametric Marcinkiewicz functions, J. Aust. Math. Soc. 72 (2002), no. 1, 13–21.10.1017/S1446788700003542Search in Google Scholar

[15] M. Ali, Lp estimates for Marcinkiewicz integral operators and extrapolation, J. Inequal. Appl. (2014), 10.1186/1029-242X-2014-269Search in Google Scholar

[16] M. Sakamoto and K. Yabuta, Boundedness of Marcinkiewicz functions, Studia Math. 135 (1999), 103–142.Search in Google Scholar

[17] J. Chen, D. Fan, Y. Ying, Singular integral operators on function spaces, J. Math. Anal. Appl. 276 (2002), 691–708.10.1016/S0022-247X(02)00419-5Search in Google Scholar

[18] H. Le, Singular integrals with mixed homogeneity in Triebel-Lizorkin spaces, J. Math. Anal. Appl. 345 (2008), 903–916.10.1016/j.jmaa.2008.05.018Search in Google Scholar

[19] H. Al-Qassem, L. Cheng, and Y Pan, On generalized Littlewood-Paley functions, Collect. Math. 69 (2018), no. 2, 297–314.10.1007/s13348-017-0208-4Search in Google Scholar

[20] H. Al-Qassem, L. Cheng, and Y. Pan, On rough generalized parametric Marcinkiewicz integrals, J. Math. Inequal. 11 (2017), no. 3, 763–780.10.7153/jmi-2017-11-60Search in Google Scholar

[21] M. Ali and O. Al-Mohammed, Boundedness of a class of rough maximal functions, J. Inequal Appl. (2018), 10.1186/s13660-018-1900-ySearch in Google Scholar PubMed PubMed Central

[22] M. Ali and M. Alquran, Boundedness of generalized parametric Marcinkiewicz integrals associated to surfaces, submitted.Search in Google Scholar

[23] D. Fan and H. Wu, On the generalized Marcinkiewicz integral operators with rough kernels, Canad. Math. Bull. 54 (2011), no. 1, 100–112.10.4153/CMB-2010-085-3Search in Google Scholar

[24] Y. Ding, Q. Xue, and K. Yabuta, Parabolic Littlewood-Paley g-function with rough kernels, Acta Math. Appl. Sin. Engl. Ser. 24 (2008), no. 12, 2049–2060.10.1007/s10114-008-6338-6Search in Google Scholar

[25] A. Al-Salman, A note on parabolic Marcinkiewicz integrals along surfaces, Trans. A Razmadze Math. Inst. 154 (2010), 21–36.Search in Google Scholar

[26] M. Ali and E. Abo-Shgair, On certain estimates for parabolic Marcinkiewicz integral and extrapolation, Int. J. Pure Appl. Math. 96 (2014), no. 3, 391–405.10.12732/ijpam.v96i3.9Search in Google Scholar

[27] Y. Chen and Y. Ding, Lp bounds for the parabolic Marcinkiewicz integral with rough kernels, J. Korean Math. Soc. 44 (2007), no. 3, 733–745.10.4134/JKMS.2007.44.3.733Search in Google Scholar

[28] Y. Chen and Y. Ding, The parabolic Littlewood-Paley operator with Hardy space kernels, Canad. Math. Bull. 52 (2009), no. 4, 521–534.10.4153/CMB-2009-053-8Search in Google Scholar

[29] F. Liu and D. Zhang, Parabolic Marcinkiewicz integrals associated to polynomials compound curves and extrapolation, Bull. Korean Math. Soc. 52 (2015), no. 3, 771–788.10.4134/BKMS.2015.52.3.771Search in Google Scholar

[30] F. Wang, Y. Chen, and W. Yu, Lp bounds for the parabolic Littlewood-Paley operator associated to surfaces of revolution, Bull. Korean Math. Soc. 29 (2012), no. 4, 787–797.10.4134/BKMS.2012.49.4.787Search in Google Scholar

[31] H. Triebel, Theory of Function Spaces, 1st ed., Birkhäuser, Basel, Switzerland, 1983.10.1007/978-3-0346-0416-1Search in Google Scholar

[32] Y. Jiang and S. Lu, A class of singular integral operators with rough kernel on product domains, Hokkaido Math. J. 24 (1995), 1–7.10.14492/hokmj/1380892533Search in Google Scholar

[33] M. Ali and O. Al-Refai, Boundedness of generalized parametric Marcinkiewicz integrals associated to surfaces, Mathematics (2019), 10.3390/math7100886.Search in Google Scholar

[34] S. Sato, Estimates for singular integrals and extrapolation, arXiv:0704.1537v1.Search in Google Scholar

[35] F. Liu and H Wu, Multiple singular integrals and Marcinkiewicz integrals with mixed homogeneity along surfaces, J. Inequal. Appl. (2012), 10.1186/1029-242X-2012-189.Search in Google Scholar

Received: 2019-09-01
Revised: 2020-01-16
Accepted: 2020-01-28
Published Online: 2020-05-20

© 2020 Mohammed Ali and Qutaibeh Katatbeh, published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Regular Articles
  2. Stability of an additive-quadratic-quartic functional equation
  3. Two new forms of ordered soft separation axioms
  4. Coefficient inequalities for a subclass of Bazilevič functions
  5. Equivalence of the existence of best proximity points and best proximity pairs for cyclic and noncyclic nonexpansive mappings
  6. Generalized parabolic Marcinkiewicz integrals associated with polynomial compound curves with rough kernels
  7. Jordan centralizer maps on trivial extension algebras
  8. On soft pc-separation axioms
  9. Direct and strong converse inequalities for approximation with Fejér means
  10. On perturbed quadratic integral equations and initial value problem with nonlocal conditions in Orlicz spaces
  11. On θ-generalized demimetric mappings and monotone operators in Hadamard spaces
  12. On the domain of implicit functions in a projective limit setting without additional norm estimates
  13. Scalar linear impulsive Riemann-Liouville fractional differential equations with constant delay-explicit solutions and finite time stability
  14. The special atom space and Haar wavelets in higher dimensions
  15. A strong convergence theorem for a zero of the sum of a finite family of maximally monotone mappings
  16. Existence and uniqueness of mild solutions for a fractional differential equation under Sturm-Liouville boundary conditions when the data function is of Lipschitzian type
  17. The new investigation of the stability of mixed type additive-quartic functional equations in non-Archimedean spaces
  18. Numerical approach to the controllability of fractional order impulsive differential equations
  19. Two modifications of the inertial Tseng extragradient method with self-adaptive step size for solving monotone variational inequality problems
  20. Further results on Ulam stability for a system of first-order nonsingular delay differential equations
  21. Existence results for nonlinear coupled system of integral equations of Urysohn Volterra-Chandrasekhar mixed type
  22. Structure of n-quasi left m-invertible and related classes of operators
  23. Hyers-Ulam stability of a nonautonomous semilinear equation with fractional diffusion
  24. Hasimoto surfaces for two classes of curve evolution in Minkowski 3-space
  25. Applications of some operators on supra topological spaces
  26. An iterative algorithm for the system of split mixed equilibrium problem
  27. Almost graded multiplication and almost graded comultiplication modules
  28. Strong convergence of an inertial extrapolation method for a split system of minimization problems
  29. On the non-hypercyclicity of scalar type spectral operators and collections of their exponentials
  30. Exponential spline method for singularly perturbed third-order boundary value problems
  31. Existence results of noninstantaneous impulsive fractional integro-differential equation
  32. Review Articles
  33. On a characterization of exponential, Pearson and Pareto distributions via covariance and pseudo-covariance
Downloaded on 11.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/dema-2020-0004/html
Scroll to top button