http://jipam.vu.edu.au/
Volume 7, Issue 4, Article 149, 2006
MAXIMAL OPERATORS OF FEJÉR MEANS OF VILENKIN-FOURIER SERIES
ISTVÁN BLAHOTA, GYÖRGY GÁT, AND USHANGI GOGINAVA INSTITUTE OFMATHEMATICS ANDCOMPUTERSCIENCE
COLLEGE OFNYÍREGYHÁZA
P.O. BOX166, NYÍREGYHÁZA
H-4400 HUNGARY
blahota@nyf.hu
INSTITUTE OFMATHEMATICS ANDCOMPUTERSCIENCE
COLLEGE OFNYÍREGYHÁZA
P.O. BOX166, NYÍREGYHÁZA
H-4400 HUNGARY
gatgy@nyf.hu
DEPARTMENT OFMECHANICS ANDMATHEMATICS
TBILISISTATEUNIVERSITY
CHAVCHAVADZE STR. 1 TBILISI0128, GEORGIA
z_goginava@hotmail.com
Received 12 June, 2006; accepted 22 November, 2006 Communicated by Zs. Páles
ABSTRACT. The main aim of this paper is to prove that the maximal operatorσ∗:= sup
n
|σn|of the Fejér means of the Vilenkin-Fourier series is not bounded from the Hardy spaceH1/2to the spaceL1/2.
Key words and phrases: Vilenkin system, Hardy space, Maximal operator.
2000 Mathematics Subject Classification. 42C10.
LetN+ denote the set of positive integers,N:=N+∪ {0}.Letm := (m0, m1, . . .)denote a sequence of positive integers not less than2.Denote byZmk :={0,1, . . . , mk−1}the additive group of integers modulomk.
Define the groupGm as the complete direct product of the groupsZmj,with the product of the discrete topologies ofZmj’s.
ISSN (electronic): 1443-5756 c
2006 Victoria University. All rights reserved.
The first author is supported by the Békésy Postdoctoral fellowship of the Hungarian Ministry of Education Bö 91/2003, the second author is supported by the Hungarian National Foundation for Scientific Research (OTKA), grant no. M 36511/2001., T 048780 and by the Széchenyi fellowship of the Hungarian Ministry of Education Szö 184/2003.
276-06
The direct productµof the measures
µk({j}) := 1
mk (j ∈Zmk) is the Haar measure onGmwithµ(Gm) = 1.
If the sequencemis bounded, thenGmis called a bounded Vilenkin group, else it is called an unbounded one. The elements ofGmcan be represented by sequencesx:= (x0, x1, . . . , xj, . . .) (xj ∈Zmj).It is easy to give a base for the neighborhoods ofGm :
I0(x) :=Gm,
In(x) := {y∈Gm|y0 =x0, . . . , yn−1 =xn−1} forx∈Gm, n∈N. DefineIn:=In(0)forn ∈N+.
If we define the so-called generalized number system based onmin the following way:
M0 := 1, Mk+1:=mkMk(k∈N), then every n ∈ Ncan be uniquely expressed as n = P∞
j=0njMj, wherenj ∈ Zmj (j ∈ N+) and only a finite number of nj’s differ from zero. We use the following notations. Let (for n > 0) |n| := max{k ∈ N : nk 6= 0} (that is,M|n| ≤ n < M|n|+1), n(k) = P∞
j=knjMj and n(k) :=n−n(k).
Denote by Lp(Gm)the usual (one dimensional) Lebesgue spaces (k · kp the corresponding norms)(1≤p≤ ∞).
Next, we introduce onGman orthonormal system which is called the Vilenkin system. At first define the complex valued functionsrk(x) : Gm → C, the generalized Rademacher functions as
rk(x) := exp2πıxk
mk (ı2 =−1, x∈Gm, k ∈N).
Now define the Vilenkin systemψ := (ψn:n ∈N)onGm as:
ψn(x) :=
∞
Y
k=0
rnkk(x) (n∈N).
Specifically, we call this system the Walsh-Paley one ifm ≡2.
The Vilenkin system is orthonormal and complete inL1(Gm)[9].
Now, we introduce analogues of the usual definitions in Fourier-analysis. Iff ∈L1(Gm)we can establish the following definitions in the usual manner:
(Fourier coefficients) fb(k) :=
Z
Gm
f ψkdµ (k∈N),
(Partial sums) Snf :=
n−1
X
k=0
f(k)ψb k (n ∈N+, S0f := 0),
(Fejér means) σnf := 1
n
n−1
X
k=0
Snf (n∈N+),
(Dirichlet kernels) Dn:=
n−1
X
k=0
ψk (n ∈N+).
Recall that
(1) DMn(x) =
( Mn, ifx∈In, 0, ifx∈Gm\In. The norm (or quasinorm) of the spaceLp(Gm)is defined by
kfkp :=
Z
Gm
|f(x)|pµ(x) 1p
(0< p <+∞). The space weak-Lp(Gm)consists of all measurable functionsf for which
kfkweak−L
p(Gm) := sup
λ>0
λµ(|f|> λ)1p <+∞.
Theσ-algebra generated by the intervals{In(x) : (x)∈Gm}will be denoted byFn (n∈N). Denote byf = f(n), n∈N
a martingale with respect to(Fn, n∈N)(for details see, e. g.
[10, 14]).
The maximal function of a martingalef is defined by f∗ = sup
n∈N
f(n) , respectively.
In casef ∈L1(Gm), the maximal functions are also be given by f∗(x) = sup
n∈N
1 µ(In(x))
Z
In(x)
f(u)µ(u) .
For0< p <∞the Hardy martingale spacesHp(Gm)consist of all martingales for which kfkH
p :=kf∗kp <∞.
Iff ∈L1(Gm),then it is easy to show that the sequence(SMn(f) :n ∈N)is a martingale.
Iff is a martingale, that isf = (f(n) :n ∈N), then the Vilenkin-Fourier coefficients must be defined in a slightly different manner:
fb(i) = lim
k→∞
Z
Gm
f(k)(x)ψi(x)µ(x).
The Vilenkin-Fourier coefficients of f ∈ L1(Gm) are the same as those of the martingale (SMn(f) :n ∈N)obtained fromf.
For a martingalef the maximal operators of the Fejér means are defined by σ∗f(x) = sup
n∈N
|σn(f;x)|.
In this one-dimensional case the weak type inequality µ(σ∗f > λ)≤ c
λkfk1 (λ >0)
can be found in Zygmund [16] for the trigonometric series, in Schipp [6] for Walsh series and in Pál, Simon [5] for bounded Vilenkin series. Again in one-dimension, Fujji [3] and Simon [8]
verified thatσ∗ is bounded fromH1 toL1. Weisz [11, 13] generalized this result and proved the boundedness ofσ∗from the martingale Hardy spaceHpto the spaceLp forp >1/2. Simon [7]
gave a counterexample, which shows that this boundedness does not hold for0 < p < 1/2. In the endpoint casep= 1/2Weisz [15] proved thatσ∗ is bounded from the Hardy spaceH1/2to the space weak-L1/2. By interpolation it follows that σ∗ is not bounded fromHp to the space weak-Lpfor all0< p <1/2.
Theorem 1. For any bounded Vilenkin system the maximal operatorσ∗ of the Fejér means is not bounded from the Hardy spaceH1/2to the spaceL1/2.
The Fejér kernel of ordernof the Vilenkin-Fourier series is defined by
Kn(x) := 1 n
n−1
X
k=0
Dk(x).
In order to prove the theorem we need the following lemmas.
Lemma 2 ([4]). Suppose thats, t, n∈Nandx∈It\It+1.Ift≤s≤ |n|,then (n(s+1)+Ms)Kn(s+1)+Ms(x)−n(s+1)Kn(s+1)
=
( MtMsψn(s+1)(x)1−r1
t(x), ifx−xtet∈Is,
0, otherwise.
Lemma 3 ([2]). Let 2 < A ∈ N+, k ≤ s < Aandn∗A := M2A+M2A−2 +· · ·+M2 +M0. Then
n∗A−1
Kn∗A−1(x)
≥ M2kM2s 4 for
x∈I2A(0, . . . ,0, x2k6= 0,0, . . . ,0, x2s6= 0, x2s+1, . . . , x2A−1), k = 0,1, . . . , A−3, s=k+ 2, k+ 3, . . . , A−1.
Proof of Theorem 1. LetA∈N+and
fA(x) := DM2A+1(x)−DM2A(x). In the sequel we are going to prove for the functionfAthat
kσ∗fAk1/2 kfAkH
1/2
≥clog2qA,
where q = sup{m0, m1, . . .} and constant c depends only on q. This inequality obviously would show the unboundedness ofσ∗.
It is evident that
fbA(i) =
( 1, ifi=M2A, . . . , M2A+1−1, 0, otherwise.
Then we can write
(2) Si(fA;x) =
Di(x)−DM2A(x), if i=M2A+ 1, . . . , M2A+1−1, fA(x), if i≥M2A+1,
0, otherwise.
Since
fA∗(x) = sup
n∈N
|SMn(fA;x)|=|fA(x)|,
from (1) we get
kfAkH
1/2 =kfA∗k1/2 =
DM2A+1−DM2A
1/2
(3)
= Z
I2A\I2A+1
M
1 2
2A+ Z
I2A+1
|M2A+1−M2A|12
!2
= m2A−1 M2A+1
M
1 2
2A+(m2A−1)12 M2A+1
M
1 2
2A
!2
≤22m2AM2A−1
≤cM2A−1. Since
Dk+M2A −DM2A =ψM2ADk, k= 1,2, . . . , M2A, from (2) we obtain
σ∗fA(x) = sup
n∈N
|σn(fA;x)| ≥ σn∗
A(fA;x) (4)
= 1 n∗A
n∗A−1
X
i=0
Si(fA;x)
= 1 n∗A
n∗A−1
X
i=M2A+1
(Di(x)−DM2A(x))
= 1 n∗A
n∗A−1−1
X
i=1
(Di+M2A(x)−DM2A(x))
= n∗A−1 n∗A
Kn∗A−1(x) . Letq := sup{mi : i ∈}. For everyl = 1, . . . ,h
1
4logq√ Ai
−1(A is supposed to be large enough) letklbe the smallest natural numbers, for which
M2A
√ A 1
q4l ≤M2k2l < M2A
√ A 1
q4l−4 hold.
Denote
I2Ak,s(x) := I2A(0, . . . ,0, x2k 6= 0,0, . . . ,0, x2s 6= 0, x2s+1, . . . , x2A−1) and let
x∈I2Akl,kl+1(z) Then from Lemma 3 and (4) we obtain that
σ∗fA(x)≥cM2k2
l
M2A ≥c
√A q4l
On the other hand, q
kσ∗fAk1/2 ≥c
[14logq√ A] X
l=1
m2kl+3−1
X
x2kl+3=0
· · ·
m2A−1−1
X
x2A−1=0
√4
A q2l µ
I2Akl,kl+1(x)
≥c√4 A
[14logq√ A] X
l=1
m2kl+3· · ·m2A−1
q2lM2A
=c√4 A
[14logq√ A] X
l=1
1 q2lM2kl+2
≥c√4 A
[14logq
√ A] X
l=1
1 q2lM2kl
≥c√4 A
[14logq√ A] X
l=1
1 q2l
q M2A√
Aq−4l+4
≥clogqA
√M2A. Combining this with (3) we obtain
kσ∗fAk1/2 kfAkH
1/2
≥ clog2qA
M2A M2A =clog2qA→ ∞ as A→ ∞.
Thus, the theorem is proved.
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