Volume 2007, Article ID 87808,9pages doi:10.1155/2007/87808
Research Article
Dunkl Translation and Uncentered Maximal Operator on the Real Line
Chokri Abdelkefi and Mohamed Sifi
Received 22 November 2006; Accepted 5 July 2007 Recommended by Ahmed Zayed
We establish estimates of the Dunkl translation of the characteristic functionχ[−ε,ε],ε >0, and we prove that the uncentered maximal operator associated with the Dunkl operator is of weak type (1, 1). As a consequence, we obtain theLp-boundedness of this operator for 1< p≤+∞.
Copyright © 2007 C. Abdelkefi and M. Sifi. This is an open access article distributed un- der the Creative Commons Attribution License, which permits unrestricted use, distri- bution, and reproduction in any medium, provided the original work is properly cited.
1. Introduction
On the real line, the Dunkl operators are differential-difference operators introduced in 1989 by Dunkl [1] and are denoted byΛα, whereα is a real parameter>−1/2. These operators are associated with the reflection groupZ2onR. The Dunkl kernelEαis used to define the Dunkl transformᏲαwhich was introduced by Dunkl in [2]. R¨osler in [3]
shows that the Dunkl kernels verify a product formula. This allows us to define the Dunkl translationτx,x∈R. As a result, we have the Dunkl convolution.
The Hardy-Littlewood maximal function was first introduced by Hardy and Little- wood in 1930 for functions defined on the circle (see [4]). Later it was extended to various Lie groups, symmetric spaces, some weighted measure spaces (see [5–10]), and different hypergroups (see [11–14]).
In this paper, we establish an estimate of the Dunkl translation of the characteristic functionτx(χ[−ε,ε])(y), x,y∈R,x=0, based on the inversion formula which extends some results of [11] to the Dunkl operator onR, and we prove the weak type (1, 1) of the uncentered maximal operatorMdefined for each integrable function f on (R,dμα) by
M(f)(x)= sup
ε>0,|z|∈B(x,ε)
1 μα(]−ε,ε[)
ε
−ετz(f)(−y)dμα(y), x∈R, (1.1)
whereB(x,ε) is the interval [max{0,|x| −ε},|x|+ε[ andμαis a weighted Lebesgue mea- sure onR(seeSection 2). Finally, we obtain for 1< p≤+∞theLp-boundedness ofM. In the casez=x, these results are already proved onRdin [9] by using the maximal function associated to the Poisson semigroup.
The contents of this paper are as follows.
In Section 2, we collect some basic definitions and results about harmonic analysis associated with Dunkl operator.
In Section 3, we establish estimates of τx(χ[−ε,ε])(y),x,y∈R, x=0, and we prove the weak type (1, 1) of the uncentered maximal operatorMand theLp-boundedness for 1< p≤+∞ofM.
In the sequel,crepresents a suitable positive constant which is not necessarily the same in each occurrence. Furthermore, we denote by
(i)Ᏹ(R) the space ofC∞-functions onR,
(ii)D∗(R) the space of even functions inᏱ(R) with compact support, (iii)S∗(R) the space of even functions inᏱ(R) decreasing rapidly.
2. Preliminaries
For a real parameterα >−1/2, we consider the differential-difference operator defined by Λα(f)(x)=df
dx(x) +2α+ 1 x
f(x)−f(−x) 2
, f ∈Ᏹ(R), (2.1) called Dunkl operator.
Forλ∈C, the initial problem
Λα(f)(x)=λ f(x), f(0)=1,x∈R, (2.2) has a unique solutionEα(λ) called Dunkl kernel and given by
Eα(λx)=jα(iλx) + λx
2(α+ 1)jα+1(iλx), x∈R, (2.3) wherejαis the normalized Bessel function of the first kind and orderα, defined by
jα(λx)=
⎧⎪
⎨
⎪⎩
2αΓ(α+ 1)Jα(λx)
(λx)α ifλx=0,
1 ifλx=0,
(2.4) whereJαis the Bessel function of first kind and orderα(see [15]).
We have for allx∈Rthat
the functionλ−→jα(λx) is even onR,
Eα(−iλx)≤1. (2.5)
LetAαbe the function defined onRby Aα(x)= |x|2α+1
2α+1Γ(α+ 1), x∈R, (2.6)
and letμαbe the weighted Lebesgue measure onRgiven by
dμα(x)=Aα(x)dx. (2.7)
For every 1≤p≤+∞, we denote byLp(μα) the spaceLp(R,dμα) and we use·p,αas a shorthand for · Lp(μα).
The Dunkl transformᏲαwhich was introduced by Dunkl in [2] is defined for f ∈ L1(μα) by
Ᏺα(f)(x)=
REα(−ixy)f(y)dμα(y), x∈R. (2.8) According to [16], we have the following results:
(i) for all f ∈L1(μα), we haveᏲα(f)∞,α≤ f1,α;
(ii) for all f ∈L1(μα) such thatᏲα(f)∈L1(μα), we have the inversion formula f(x)=
REα(iλx)Ᏺα(f)(λ)dμα(λ), a.ex∈R; (2.9) (iii) for every f ∈L2(μα), we have
Ᏺα(f)2,α= f2,α. (2.10)
In the sequel, we consider the signed measureγx,yonRgiven by
dγx,y(z)=
⎧⎪
⎪⎪
⎨
⎪⎪
⎪⎩
Wα(x,y,z)dμα(z) ifx,y∈R\{0}, dδx(z) ify=0, dδy(z) ifx=0,
(2.11)
whereWα(see [3]) is an even function satisfying the following properties:
Wα(x,y,z)=Wα(y,x,z)=Wα(−x,z,y)=Wα(−z,y,−x),
R
Wα(x,y,z)dμα(z)≤4. (2.12)
We have
suppγx,y=Sx,y∪
−Sx,y withSx,y=|x| − |y|,|x|+|y|
. (2.13)
Forx,y∈Rand f a continuous function onR, the Dunkl translation operatorτxgiven by
τx(f)(y)=
Rf(z)dγx,y(z) (2.14)
satisfies the following properties (see [17]):
(i)τxis a continuous linear operator fromᏱ(R) into itself;
(ii) for all f ∈Ᏹ(R), we have
τx(f)(y)=τy(f)(x), τ0(f)(x)=f(x). (2.15) The Dunkl convolution f ∗αg, of two continuous functions f andgonRwith compact support, is defined by
f ∗αg(x)=
Rτx(f)(−y)g(y)dμα(y), x∈R. (2.16) The convolution∗αis associative and commutative (see [3]). The following results are shown in [18].
(i) For all x∈R, the operatorτx extends to Lp(μα), p≥1, and we have for f ∈ Lp(μα) that
τx(f)p,α≤4fp,α. (2.17) (ii) For allx,λ∈Rand f ∈L1(μα), we have
Ᏺα
τx(f)(λ)=Eα(iλx)Ᏺα(f)(λ). (2.18) (iii) Assume that p,q,r∈[1, +∞[ satisfyies 1/ p+ 1/q=1 + 1/r (the Young condi- tion). Then, the map (f,g)→ f ∗αg defined onCc(R)×Cc(R) extends to a continuous map fromLp(μα)×Lq(μα) toLr(μα), and we have
f∗αgr,α≤4fp,αgq,α. (2.19) (iv) For all f ∈L1(μα) andg∈L2(μα), we have
Ᏺα
f ∗αg=Ᏺα(f)Ᏺα(g). (2.20) 3. Estimates for Dunkl translation and weak type (1, 1) of
the uncentered maximal operator
In this section, we establish estimates ofτx(χ[−ε,ε])(y),x,y∈R,x=0, whereχ[−ε,ε]is the characteristic function of the interval [−ε,ε], and we prove the weak-type (1, 1) of the uncentered maximal operatorMand theLp-boundedness for 1< p≤+∞ofM.
We observe that forx,y∈R\{0}andε >0, τxχ[−ε,ε]
(y)≤cτ˘|x|χ[0,ε]|y|
, (3.1)
where for a continuous function f on [0, +∞[ andr,s >0, ˘τr denotes the translation of the Bessel hypergroup given by
˘
τr(f)(s)=22−αΓ(α+ 1)2
√πΓ(α+ 1/2) +∞
0 f(z)Δα(r,s,t)dμα(t) (3.2)
with
Δα(r,s,t)=
⎧⎪
⎪⎨
⎪⎪
⎩
(r+s)2−t2t2−(r−s)2α−1/2
(rst)2α if|r−s|< t < r+s,
0 otherwise.
(3.3) On the other hand, we have from (2.3), (2.5), and (2.8) that
Ᏺα
χ[−ε,ε]
(λ)≤ ε
α+ 1Aα(ε) forε >0,λ∈R, (3.4) and by (2.4),
Ᏺα
χ[−ε,ε]
(λ)≤cεα+1/2λ−α−3/2 forλ∈[ε−1, +∞[. (3.5) Then, using (3.4), (3.5), and the fact that|Eα(iλx)| ≤c(Aα(x))−1/2|λ|−α−1/2, for|x|>2ε, λ∈R\{0}, the next lemma follows closely the argumentations of [11, Proposition 4.6 and Lemma 5.1].
Lemma 3.1. There exists a positive constantcsuch that for anyx,y∈R,x=0, andε >0, one has
τx χ[−ε,ε]
(y)≤cAα ε
Aα(x). (3.6)
Notation 3.2. For x∈Randε >0, we denote byB(x,ε) the interval [max{0,|x| −ε},
|x|+ε[.
Lemma 3.3. There exists a positive constantcsuch that for anyx,y∈Randε >0, one has τx
χ[−ε,ε]
(y)≤cμα]−ε,ε[
μα
B(x,ε). (3.7)
Proof. On the one hand, we have for|x| ≤εthat μα
B(x,ε)=
B(x,ε)dμα(y)= |x|+ε
0 dμα(y)≤cμα
]−ε,ε[, (3.8)
since
1 4τx
χ[−ε,ε]
(−y)≤1, x,y∈R, (3.9)
then we obtain (3.7) for|x| ≤ε.
On the other hand, we have for|x|> ε, μα
B(x,ε)= |x|+ε
|x|−εdμα(y)≤c|x|+ε2α+1 |x|+ε
|x|−εd y
≤cμα
]−ε,ε[Aα(x) Aα(ε).
(3.10)
Then by (3.6), we obtain (3.7) for|x|> ε, which proves the result.
According to [7, Lemma 1.6] (see also [11, Lemma 4.21]), we have the following Vitali covering lemma.
Lemma 3.4. LetEbe a measurable subset ofR+(with respect toμα) which is covered by the union of a family of bounded intervals{Bj}, whereBj=B(xj,rj). Then from this family, one can select a disjoints subsequence,B1,B2,. . .,Bh,. . ., (which may be finite) such that
h
μαBh≥cμα(E). (3.11)
Theorem 3.5. The uncentered maximal operatorMis of weak type (1, 1).
Proof. Forε >0,x∈R,|z| ∈B(x,ε), and f ∈L1(μα), we have ε
−ετz(f)(−y)dμα(y)=
f∗αχ[−ε,ε]
(z)=
Rf(y)τz
χ[−ε,ε]
(−y)dμα(y), (3.12)
then using (2.13), (2.14), and (3.7), we obtain
ε
−ετz(f)(−y)dμα(y)| ≤
|y|∈B(z,ε)
τz
χ[−ε,ε]
(−y)f(y)dμα(y)
≤c
|y|∈B(z,ε)
f(y)dμα(y)
μα]−ε,ε[
μα
B(z,ε),
(3.13)
hence we deduce that
M(f)(x)≤cM( f)(x), (3.14)
whereM(f) is defined by M( f)(x)= sup
ε>0,|z|∈B(x,ε)
1 μα
B(z,ε)
|y|∈B(z,ε)
f(y)dμα(y). (3.15)
Observe that we have
M( f)(−x)=M( f)(x), x∈R. (3.16) Forλ >0, put
Eλ=
x∈R;M( f)(x)> λ, E+λ =
x∈R+;M( f)(x)> λ, E−λ =
x∈R∗−;M( f)(x)> λ.
(3.17)
By (3.16) we obtain
μα E+λ=μα E−λ, μα Eλ
=2μα E+λ. (3.18)
Now, for eachx∈Eλ+, there existε >0 andz∈Rsuch that
|z| ∈B(x,ε),
|y|∈B(z,ε)
f(y)dμα(y)> λμαB(z,ε). (3.19)
Furthermore, note thatx∈B(z,ε), then whenxruns through the setE+λ, the union of the correspondingB(z,ε) coversE+λ. Thus, usingLemma 3.4, we can select a disjoint subse- quenceB(z1,ε1),. . .,B(zh,εh),. . ., (which may be finite) such that
h
μαBzh,εh≥cμα E+λ. (3.20)
We have
|y|∈
hB(zh,εh)
f(y)dμα(y)≥
h
|y|∈B(zh,εh)
f(y)dμα(y). (3.21)
Applying (3.19) and (3.20) to each of the mutually disjoint intervals, we get
|y|∈
hB(zh,εh)
f(y)dμα(y)> λ
h
μαBzh,εh≥λcμα Eλ+. (3.22)
But since the first member of this inequality is majorized byf1,α, we obtain μα E+λ≤cf1,α
λ , (3.23)
and by (3.18), we deduce that
μα Eλ≤cf1,α
λ , (3.24)
which gives thatMis of weak type (1, 1), and hence from (3.14), the same is true forM.
As consequence ofTheorem 3.5, we obtain the following corollary.
Corollary 3.6. If 1< p≤+∞and f ∈Lp(μα), then one has M(f)∈Lpμα
, M(f)p,α≤cfp,α. (3.25)
Proof. Using theTheorem 3.5, [15, Corollary 21.72], and proceeding in the same manner as in the proof on [2, 1.3.Theorem 1], we obtain the desired results.
Acknowledgments
The authors thank the referees for their remarks and suggestions. The authors are sup- ported by the DGRST research project 04/UR/15-02.
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Chokri Abdelkefi: Department of Mathematics, Preparatory Institute for Engineering Studies of Tunis, Monfleury, Tunis 1089, Tunisia
Email address:[email protected]
Mohamed Sifi: Department of Mathematics, Faculty of Sciences of Tunis, Tunis-El Manar University, Tunis 1060, Tunisia
Email address:[email protected]