Journal of Inequalities and Applications Volume 2009, Article ID 385029,18pages doi:10.1155/2009/385029
Research Article
On the Generalized
B
m
-Riesz Difference Sequence
Space and
β
-Property
Metin Bas¸arir
1and Mustafa Kayikc¸i
21Department of Mathematics, Sakarya University, 54187 Sakarya, Turkey
2Duzce MYO, Duzce University, 81010 Duzce, Turkey
Correspondence should be addressed to Metin Bas¸arir,[email protected]
Received 1 May 2009; Accepted 17 July 2009
Recommended by Ramm Mohapatra
We introduce the generalized Riesz difference sequence space rqp, Bm which is defined by
rqp, Bm {x x
k ∈w : Bmx∈ rqp}whererqpis the Riesz sequence space defined by
Altay and Bas¸ar. We give some topological properties, compute theα , β duals, and determine the Schauder basis of this space. Finally; we study the characterization of some matrix mappings on this sequence space. At the end of the paper, we investigate some geometric properties ofrqp, Bm
and we have proved that this sequence space has propertyβforpk≥1.
Copyrightq2009 M. Bas¸arir and M. Kayikc¸i. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1. Introduction
Letw be the space of all real valued sequences. We write l∞, c, c0 for the sequence spaces of all bounded, convergent, and null sequences, respectively. Also by cs, l1, and lp, we
denote the sequence spaces of all convergent, absolutely andp-absolutely, convergent series, respectively; where 1< p <∞.
Letqkbe a sequence of positive numbers and
Qn n
k0
qk, n∈N. 1.1
Then the matrixRq rq
nkof the Riesz meanR, qn, which is triangle limitation matrix, is
given by
rnkq
⎧ ⎪ ⎨ ⎪ ⎩
qk Qn
, 0≤k≤n,
0, k > n.
1.2
It is well known that the matrixRq rq
Altay and Bas¸ar1,2 introduced the Riesz sequence spacerqp, r∞q p, rq
cp, and rcq0pof nonabsolute type which is the set of all sequences whose R
q-transforms are in the
spacelp, l∞p, cp, andc0p; respectively. Here and afterwards,p pkwill be used as a bounded sequence of strictly positive real numbers with suppkHandMmax{1, H}and
Fdenotes the collection of all finite subsets ofN,whereN{0,1,2, . . .}. The Riesz sequence space introduced in1by Altay and Bas¸ar is
rqp
⎧ ⎨
⎩x xk∈w:
∞
k0 Q1k
k
j0
qjxj
pk
<∞
⎫ ⎬
⎭; with
0< pk≤H <∞
. 1.3
The difference sequence spacesl∞Δ, cΔ, andc0Δwere first defined and studied by Kızmaz in3and studied by several authors,4–9. Bas¸ar and Altay10have studied the sequence spacebvpas the set of all sequences such that theirΔ-transforms are in the spacelp;
that is,
bvp
x xk∈w:
∞
k0
|xk−xk−1|p<∞
, 1≤p <∞, 1.4
whereΔdenotes the matrixΔ Δnkdefined by
Δnk
⎧ ⎨ ⎩
−1n−k; n−1≤k≤n,
0; k < n−1ork > n. 1.5
The idea of difference sequences is generalized by C¸ olak and Et 11. They defined the sequence spaces:
Δmλ{x xk∈w:Δmx∈λ}, 1.6
wherem∈N,Δ1xx
k−xk 1, andΔmx ΔΔm−1x, whereΔmdenotes the matrixΔm Δmnk defined by
Δm nk
⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩
−1n−k ⎛
⎝ m
n−k
⎞
⎠; max{0, n−m} ≤k≤n,
0; 0≤k <max{0, n−m}ork > n,
1.7
for allk, n∈Nand for any fixedm∈N.
Recently, Bas¸arir and ¨Ozt ¨urk12introduced the Riesz difference sequence space as follows:
rqp,Δx xk∈w:Δx x
k−xk−1∈rq
p; with0< pk≤H <∞
Bas¸ar and Altay defined the matrixB bnkwhich generalizes the matrixΔ Δnk. Now we define the matrixBm bm
nkand if we taker1, s−1, then it corresponds to the matrix Δm Δm
nk. We define
bm nk
⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩
m n−k
rm−n ksn−k; max{0, n−m} ≤k≤n,
0; 0≤k <max{0, n−m}ork > n.
1.9
The results related to the matrix domain of the matrix Bm are more general and more
comprehensive than the corresponding consequences of matrix domain ofΔm.
Our main subject in the present paper is to introduce the generalized Riesz difference sequence spacerqp, Bmwhich consists of all the sequences such that theirBm-transforms are
in the spacerqpand to investigate some topological and geometric properties with respect
to paranorm on this space.
2. Basic Facts and Definitions
In this section we give some definitions and lemmas which will be frequently used.
Definition 2.1. Letλandμbe two sequence spaces and letA ankbe an infinite matrix of real numbersank,wheren, k∈N. Then, we say thatAdefines a matrix mapping fromλinto μ,and we denote it by writingA: λ → μif for every sequencex xk∈ λthe sequence
Ax{Axn},theA-transform ofx,is inμ; where
Axn ∞
k0
ankxk, n∈N. 2.1
Byλ:μ,we denote the class of all matricesAsuch thatA:λ → μ.Thus,A∈λ:μif and only if the series on the right side of2.1converges for eachn∈Nand everyx∈λ,and we haveAx {Axn}n∈N ∈μfor allx∈λ.A sequencexis said to beA-summable toαifAx
converges toαwhich is called as theA-limit ofx.
Definition 2.2. For any sequence space λ, the matrix domain λA of an infinite matrix A is
defined by
λA{x xk∈w:Ax∈λ}. 2.2
Definition 2.3. If a sequence space λ paranormed by h contains a sequence bn with the property that for everyx∈λthere is a unique sequence of scalarsαnsuch that
lim
n→ ∞h
x− n
k0
αkbk
0, 2.3
thenbnis called a Schauder basisor briefly basisforλ. The series∞k0αkbkwhich has the
Definition 2.4. For the sequence spacesλandμ, define the setSλ, μby
Sλ, μz zk∈w:xz xkzk∈μ∀x∈λ
. 2.4
With the notation of2.2, theα-, β-, γ-duals of a sequence spaceλ,which are, respectively, denoted byλα, λβ, λγ,are defined by
λαSλ, l1, λβSλ, cs, λγSλ, bs. 2.5
Now we give some lemmas which we need to prove our theorems.
Lemma 2.5see13. iLet1< pk≤H <∞for everyk∈N.ThenA∈lp:l1if and only if
there exists an integerK >1such that
sup
K∈F ∞
k0
n∈K ankK−1
pk
<∞. 2.6
iiLet0< pk≤1for everyk∈N.ThenA∈lp:l1if and only if
sup
K∈Fsupk∈N
n∈K ank
pk
<∞. 2.7
Lemma 2.6see14. iLet1< pk≤H <∞for everyk∈N.ThenA∈lp:l∞if and only if
there exists an integerK >1such that
sup
n∈N
∞
k0 a−1
nkK−
1 pk
<∞. 2.8
iiLet0< pk≤1for everyk∈N.ThenA∈lp:l∞if and only if
sup
n,k∈N|ank|
pk <∞. 2.9
Lemma 2.7see14. Let0 < pk ≤ H < ∞for everyk ∈N.ThenA∈ lp: cif and only if 2.8,2.9hold, and
lim
n→ ∞ankβk fork∈N 2.10
3. Some Topological Properties of Generalized
B
m-Riesz Difference Sequence Space
Let us define the sequencey {ynq},which will be used for theRqBm-transform of a
sequencex xk, that is,
yn
q RqBmxn 1 Qn n−1 k0 n ik m i−k
rm−i ksi−kqixk
rm Qn
qnxn. 3.1
After this, byRqBm,we denote the matrixRqBm rnkm, q, r, sdefined by
rnk
m, q, r, s
⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩ 1 Qn n−1 k0 n ik m i−k
rm−i ksi−kqi
, k < n,
rm Qn
qn, kn,
0, k > n,
3.2
for alln, k, m∈N.Then we define
rqp, Bmx xk∈w:yn
q∈lp
x xk∈w:
∞ k0 1 Qk k−1 n0 k in m i−n
rm−i nsi−nqixn
rm Qkqkxk
pk <∞
.
3.3
If we takem1,then we have
rqp, B
⎧ ⎨
⎩x xk∈w:
∞
k0 Q1k
⎡ ⎣k−1
j0
qjr qj 1s
xj qkrxk
⎤ ⎦ pk <∞ ⎫ ⎬
⎭. 3.4
Here are some topological properties of the generalized Riesz difference sequence space.
Theorem 3.1. The sequence spacerqp, Bmis a complete linear metric space paranormed by
gx
⎛ ⎝∞
k0 Q1k
k−1
j0 ⎡ ⎣k
ij
m
i−j
rm−i jsi−jqixj
⎤ ⎦ rmqk
Qk xk
pk⎞ ⎠
1/M
, 3.5
Proof. The linearity of rqp, Bm with respect to the co-ordinatewise addition and scalar
multiplication follows from the inequalites which are satisfied foru, v∈rqp, Bm 15:
∞
k0
|RqBmu
k RqBmvk|pk
1/M
≤
∞
k0
|RqBmu k|pk
1/M ∞
k0
|RqBmv k|pk
1/M ,
3.6
and for anyα∈R16, we have
|α|pk ≤max 1,|α|M!. 3.7
It is obvious thatgθ 0 andg−u gufor allu∈rqp, Bm. Letu
k, vk∈rqp, Bm:
gu v
⎛ ⎝∞
k0 Q1k
k−1
j0 ⎡ ⎣k
ij
m i−j
rm−i jsi−jqi
uj vj
⎤⎦ rmq k Qk
uk vk
pk⎞ ⎠
1/M
≤
⎛ ⎝∞
k0 Q1k
k−1
j0 ⎡ ⎣k
ij
m i−j
rm−i jsi−jqi
uj
⎤⎦ rmq k Qk
uk
pk⎞ ⎠
1/M
⎛ ⎝∞
k0 Q1k
k−1
j0 ⎡ ⎣k
ij
m i−j
rm−i jsi−jqi
vj
⎤⎦ rmq k Qk
vk
pk⎞ ⎠
1/M
,
3.8
gu v≤gu gv. 3.9
Again the inequalities3.7and3.9yield the subadditivity ofgand
gαu≤max{1,|α|}gu. 3.10
Let{xn}be any sequence of the elements of the spacerqp, Bmsuch that
gxn−x−→0, 3.11
andλnalso be any sequence of scalars such thatλn → λ.Then, since the inequality
holds by subadditivity ofg,{gxn}is bounded, and thus we have
gλnxn−λx
⎛ ⎝∞
k0 Q1k
k−1
j0 ⎡ ⎣k
ij
m
i−j
rm−i jsi−jqi
"
λnxnj −λxj
#⎤ ⎦ rmqk
Qk
λnxnk−λxk
pk⎞ ⎠
1/M
,
≤ |λn−λ|1/M
⎛ ⎝∞
k0 Q1k
k−1
j0 ⎡ ⎣k
ij
m
i−j
rm−i jsi−jqi
"
xnj#
⎤ ⎦ rmqk
Qk xnk
pk⎞ ⎠
1/M
|λ|1/M
⎛ ⎝∞
k0 Q1k
k−1
j0 ⎡ ⎣k
ij
m
i−j
rm−i jsi−jqi
"
xnj −xj
#⎤ ⎦ rmqk
Qk
xnk−xk
pk⎞ ⎠
1/M
,
≤ |λn−λ|1/Mgxn |λ|1/Mgxn−x,
3.13
which tends to zero asn → ∞.Hence the continuity of the scalar multiplication has shown. Finally; it is clear to say thatgis a paranorm on the spacerqp, Bm.
Moreover; we will prove the completeness of the spacerqp, Bm.Letxibe any Cauchy
sequence in the spacerqp, Bmwherexi {xi
k} {x0i, x1i, . . .} ∈rqp, Bm.Then, for a given
ε >0,there exists a positive integern0εsuch that
g"xi−xj#< ε, 3.14
for alli, j≥n0ε.If we use the definition ofg, we obtain for each fixedk∈Nthat
"
RqBmxi# k−
"
RqBmxj# k
≤∞ k0
"
RqBmxi# k−
"
RqBmxj# k
pk 1/M
< ε, 3.15
fori, j≥n0εwhich leads us to the fact that "
RqBmx0# k,
"
RqBmx1# k, . . .
!
, 3.16
is a Cauchy sequence of real numbers for every fixedk∈N.SinceRis complete, it converges, so we writeRqBmxi
k → RqBmxkasi → ∞.Hence by using these infinitely many limits RqBmx
0,RqBmx1, . . ., we define the sequence{RqBmx0,RqBmx1, . . .}. Since3.14holds for eachp∈Nandi, j ≥n0ε,
p
k0 "
RqBmxi# k−
"
RqBmxj# k
pk
Take anyi≥n0ε,first letj → ∞in3.17and thenp → ∞,to obtaingxi−x≤ε.Finally, takingε 1 in3.17and lettingi≥n01,we have Minkowski’s inequality for eachp ∈N, that is,
p
k0 "
RqBmxi# k
pk 1/M
≤g"xi−x# g"xi#≤1 g"xi#, 3.18
which implies thatx∈rqp, Bm. Sincegxi−x≤εfor alli≥n
0εit follows thatxi → xas
i → ∞,sorqp, Bmis complete.
Theorem 3.2. Let kij"i−jm#rm−i jsi−jqi/0 for each k ∈ N. Then the difference sequence space rqp, Bmis linearly isomorphic to the spacelpwhere0< p
k≤H <∞.
Proof. For the proof of the theorem, we should show the existence of a linear bijection between the spacesrqp, Bmandlpfor 0< pk≤H <∞.With the notation of
yk
1
Qk k−1
j0 ⎡ ⎣k
ij
m i−j
rm−i jsi−jqixj
⎤ ⎦ rm
Qkqkxk, 3.19
define the transformationT fromrqp, Bmtolpbyx → y Tx. However,T is a linear
transformation, moreover; it is obviuos thatxθwheneverTxθand henceT is injective. Lety∈lpand define the sequencex xkby
xk k−1
n0 n 1
in
−1k−n s
k−i
rm k−i
m k−i−1
k−i
1
qi Qnyn
Qk rmq k
yk, fork∈N. 3.20
Then,
gx
⎛ ⎝∞
k0 Q1k
k−1
j0 ⎡ ⎣k
ij
m i−j
rm−i jsi−jqixj
⎤ ⎦ rm
Qk qkxk
pk⎞ ⎠
1/M
⎛ ⎝∞
k0
k
j0
δkjyj
pk⎞ ⎠
1/M
∞
k0 yk pk
1/M g1
y<∞,
3.21
where
δkj
⎧ ⎨ ⎩
1, kj,
0, k /j,
and g1y is a paranorm on lp. Thus, we have that x ∈ rqp, Bm. Consequently; T is surjective and is paranorm preserving. Hence,T is a linear bijection and this explains that the spacesrqp, Bmandlpare linearly isomorphic.
Now, the Schauder basis for the spacerqp, Bmwill be given in the following theorem.
Theorem 3.3. Define the sequencebkq {bkn q}n∈Nof the elements of the spacerqp, Bmfor
every fixedk∈Nby
bkn
q
⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
k 1
ik
−1n−k s
n−i
rm n−i
m n−i−1
n−i
1
qi
Qk, n > k,
Qk
rmqk, nk,
0, k > n.
3.23
Then; the sequence{bkq}k∈Nis a basis for the spacerqp, Bmand anyx∈ rqp, Bmhas
a unique representation of the form
x ∞
k0
μk
qbkq, 3.24
whereμkq RqBmx
kfor allk∈Nand0< pk≤H <∞.
Proof. This can be easily obtained by12, Theorem 5so we omit the proof.
Theorem 3.4. iLet1< pk≤H <∞for everyk∈N.Define the setQ1pas follows:
Q1
p
& K>1
⎧ ⎨
⎩aak∈w:supN∈F
∞
k0
n∈N
k 1
ik
−1n−k sn−i
rm n−i
m n−i−1
n−i
1
qi anQk
an rmqnQn
K−1
pk
<∞
.
3.25
Then;rqp, BmαQ
iiLet0< pk≤1for everyk∈N.Define the setQ2pby
Q2
p
& K>1
aak∈w: sup
N∈Fsupk∈N
n∈N
k 1
ik
−1n−k s
n−i
rm n−i
m n−i−1
n−i
1
qianQk an rmqnQn
K−1
pk
<∞
.
3.26
Then;rqp, BmαQ
2p.
Proof. iLeta ak∈w.We easily derive with the notation
yk
1
Qk k−1
j0 ⎡ ⎣k
ij
m i−j
rm−i jsi−jqixj
⎤
⎦ 1
Qk
qkxk, 3.27
and the matrixU unkwhich is defined by
unk
⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
k 1
ik
−1n−k sn−i
rm n−i
m n−i−1
n−i
1
qi
anQk, 0≤k≤n−1,
anQn rmq
n
, kn,
0, k > n,
3.28
for all k, n ∈ N, thus, by using the method in 1,12 we deduce that ax anxn ∈ l1 wheneverx xk ∈ rqp, Bm if and only ifUy ∈ l
1 whenever y yk ∈ lp.From Lemma 2.5i, we obtain the desired result that
'
rqp, Bm(αQ
1
p. 3.29
Theorem 3.5. iLet1< pk≤H <∞for everyk∈N.Define the setQ3pas follow: Q3 p & K>1 ⎧ ⎪ ⎨ ⎪
⎩aak∈w:
∞ k0 ⎡ ⎣ ⎛ ⎝ ak
rmq k
k 1
ik
−1n−k sn−i
rm n−i
m n−i−1
n−i
1
qi n
jk 1
aj
⎞ ⎠Qk
⎤ ⎦K−1
pk
<∞
.
3.30
Then;rqp, BmβQ
3p∩cs.
iiLet0< pk≤1for everyk∈N.Define the setQ4pby
Q4 p ⎧ ⎨
⎩a ak∈w: supk∈N ⎡ ⎣ ⎛ ⎝ ak
rmq k
k 1
ik
−1n−k s
n−i
rm n−i
m n−i−1
n−i
1
qi n
jk 1
aj
⎞ ⎠Qk
⎤ ⎦ pk <∞ ⎫ ⎬ ⎭. 3.31
Then;rqp, BmβQ
4p∩cs.
Proof. iIf we take the matrixT tnkby
tnk ⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩ ⎛ ⎝ ak
rmq k
k 1
ik
−1n−k s
n−i
rm n−i
m n−i−1
n−i
1
qi n
jk 1
aj
⎞
⎠Qk, 0≤k≤n,
0, k > n,
3.32
fork, n∈Nand if we carry out the method which is used in1,12, we get thatax anxn∈ cswheneverx xk∈rqp, Bmif and only ifTy∈cwhenevery yk∈lp.Hence we
deduce fromLemma 2.7that
∞ k0 ⎡ ⎣ ⎛ ⎝ ak
rmqk k 1
ik
−1n−k sn−i
rm n−i
m n−i−1
n−i
1
qi n
jk 1
aj
⎞ ⎠Qk
⎤ ⎦K−1
pk
<∞, 3.33
and limntnkexists which is shown that
'
rqp, Bm(βQ3
iiThis may be obtained in the similar way as in the proof ofiabove by using the second part of Lemmas2.6and2.7. So we omit the detail.
Now we will characterize the matrix mappings from the spacerqp, Bmto the space l∞. It can be proved by applying the method in1,12. So we omit the proof.
Theorem 3.6. iLet1< pk≤H <∞for everyk∈N.ThenA∈rqp, Bm;l∞if and only if there
exists an integerK >1such that
QK sup
n∈N
∞
k0 ⎡ ⎣
⎛ ⎝ ank
rmqk k 1
ik
−1n−k sn−i
rm n−i
m n−i−1
n−i
1
qi n
jk 1
anj
⎞ ⎠Qk
⎤ ⎦K−1
pk
<∞,
{ank}k∈N∈cs,
3.35
for eachn∈N.
iiLet0< pk≤1for everyk∈N.ThenA∈rqp, Bm;l∞if and only if
sup
n,k∈N ⎡ ⎣
⎛ ⎝ ank
rmq k
k 1
ik
−1n−k s
n−i
rm n−i
m n−i−1
n−i
1
qi n
jk 1
anj
⎞ ⎠Qk
⎤ ⎦
pk
<∞,
{ank}k∈N∈cs ,
3.36
for eachn∈N.
4.
β
-Property of Generalized Riesz Difference Sequence Space
In the previous section; we show that the sequence spacerqp, Bm,which is the space of all
real sequencesx xnsuch that∞k0|RqBmx
k|pk < ∞,is a complete paranormed space.
It is paranormed bygx ∞k0|RqBmx
k|pk1/Mfor allx xn ∈rqp, Bm,whereM
max{1, H};H supkpk.We recall that a paranormed space is total ifgx 0 impliesx
0. Every total paranormed space becomes a linear metric space with the metric given by
dx, y gx−y.It is clear thatrqp, Bmis a total paranormed space.
In this section, we investigate some geometric properties ofrqp, Bm. First we give the
definition of the propertyβin a paranormed space and we will use the method in17to prove the propertyβ.Consequently, we obtain thatrqp, Bmhas propertyβforp
k≥1.
From here, for a sequencex xn ∈ rqp, Bm and fori ∈ N, we use the notation x|i x1, x2, . . . , xi,0,0, . . .andx|N−i 0,0, . . . ,0, xi 1, xi 2, . . ..
Now we give the definition of the propertyβin a linear metric space.
Definition 4.1. A linear metric spaceX, dis said to have the propertyβif for eachε > 0 andr >0,there existsδ >0 such that for each elementx∈B0, rand each sequencexnin
Lemma 4.2. Iflim infk→ ∞pk>0,then for anyL >0andε >0,and for anyu, v∈rqp, Bm,there
existsδδε, L>0such that
dMu v,0< dMu,0 ε, 4.1
wheneverdMu,0≤LanddMv,0≤δ.
Proof. Letε >0 andL >0 be given. Let 0< α0 <lim infk→ ∞pkandα0<1, there existsk0 ∈N such that 0< α0 ≤pkfor allk ≥k0.Letα min{pk :k 1,2, . . . , k0;α0}.Thusα≤pkfor all k∈N. There existsK0 ≥2 such that
dM2u,0≤K0dMu,0, 4.2
for allu∈rqp, Bm.Setβ 2αε/2K
0L1/α.There existsK1≥K0such that
dM
2
βu,0
≤K1dMu,0, 4.3
for allu ∈rqp, Bm.Setδ 2αε/2βαK
1.Assume thatdMu,0≤ LanddMv,0 ≤ δ.We recall thatx|i x1, x2, . . . , xi,0,0, . . .andx|N−i 0,0, . . . ,0, xi 1, xi 2, . . .. With
these notations, letA{k∈N−i:pk<1}andC{k∈N−i:pk ≥1}.By using convexity
of the functionft |t|pk for allp
k ≥ 1 and the fact thata bpk ≤ apk bpk forpk < 1 and
0< βpk < βαwhereβ∈0,1andk∈N, we have
dMu v,0 dM$1−βu β"u β−1v#,0%
∞ i0
RqBm$1−βui β"ui β−1vi#% pi
≤∞
i0
RqBm'1−βui( RqBm$β"ui β−1vi#% pi
i∈A
RqBm'1−βui( RqBm$β"ui β−1vi#% pi
i∈C
RqBm'1−βui( RqBm$β"ui β−1vi#% pi
≤1−β i∈A
|RqBmui|pi i∈A
RqBmβ$ui β−1vi% pi
1−β i∈C
|RqBmui|pi i∈C
RqBmβ$ui β−1vi% pi
≤
i∈A
|RqBmui|pi βα i∈A
RqBm$ui β−1vi% pi
i∈C
|RqBmui|pi βα i∈C
≤∞
i0
|RqBmui|pi βα ∞
i0
RqBm$ui β−1vi% pi
≤dMu,0 βα ∞
i0
2−1"2RqBm$ui β−1vi%# pi
≤dMu,0 βα i∈A
2−1"2RqBm$ui β−1vi%# pi
βα i∈C
2−1"2RqBm$ui β−1vi%# pi
≤dMu,0 βα i∈A
2−1$2RqBmui "2RqBmβ−1vi#% pi
βα i∈C
2−1$2RqBmui "2RqBmβ−1vi#% pi
≤dMu,0 βα i∈A
2−12RqBmui pi
βα i∈A
2−1$2RqBmβ−1vi% pi
1 2β
α
i∈C
|2RqBmui|pi
1 2β
α
i∈C
2RqBmβ−1vi pi
≤dMu,0
1 2β
α∞
i0
|2RqBmui|pi
1 2β
α∞
i0
2RqBmβ−1vi pi
≤dMu,0 1 2α
2αε
2K0L
dM2u,0 1 2αβ
αdM"2β−1v,0#
≤dMu,0 ε 2
1 2αβ
αK
1 2
αε
2βαK
1
,
dMu v,0≤dMu,0 ε.
4.4
Lemma 4.3. Iflim infn→ ∞pn > 0,then for anyx∈ rqp, Bm,there existsk0 ∈Nandθ ∈ 0,1
such that
dM
x
|N−k
2 ,0
≤ 1−θ
2 d
Mx
|N−k,0 4.5
Proof. Letαbe a real number such that 1< α <lim infn→ ∞pn.Then there existsk0 ∈Nsuch thatα≤pkfor allk≥k0.Letθ∈0,1be a real number such that1/2α<1−θ/2.Then for eachx∈rqp, Bmandk≥k
0,we have
dM
x
|N−k
2 ,0
∞ ik 1
RqBm2xi pi
≤
1 2
α∞
ik 1
|RqBmxi|pi
≤ 1−θ
2
∞
ik 1
|RqBmxi|pi
1−θ
2 d
Mx |N−k,0.
4.6
Theorem 4.4. Ifpk≥1,thenrqp, Bmhas propertyβ.
Proof. Letε >0 andxn⊂B0, rwithdxn, xm≥εform /n.Take 0< ε0 < εM.There exists
δ > 0 such thatεM−δ ≥ ε
0.Letx ∈B0, r.Since for eachj ∈N,xnj∞n1 is bounded, by using the diagonal method, we have that for eachq∈N, we can find a subsequencexnaof xnsuch thatxnajconverges for allj ∈Nwith 1≤j ≤q.Sincexnajis Cauchy sequence for all 1≤j ≤q,there existstq∈Nsuch that
q
k0
|RqBmxnak−R qBmx
nbk| pk
q
k0
|RqBmxnak−xnbk|
pk < δ, 4.7
for allna, nb ≥tq.Then we see that
ε < dxna, xnb
∞
k0
|RqBmx
nak−xnbk| pk
1/M ,
εM≤ q
k0
|RqBmxnak−xnbk| pk
∞
kq 1
|RqBmxnak−xnbk| pk,
εM≤δ ∞
kq 1
|RqBmxnak−xnbk| pk.
4.8
Therefore, for eachq∈N,there existstq∈Nsuch that
dM"x
na|N−q, xnb|N−q #
≥εM−δ≥ε
for allna, nb ≥ tq.Hence, there is a sequence of positive integersσq∞q1 withσ1 < σ2 < · · · such that
dM"xσ
q|N−q,0 #
∞ kq 1
RqBm"x σqk
# pk
≥ ε0
2, 4.10
for allq∈N.ByLemma 4.3, there existsq0∈Nandθ∈0,1such that
dM
u| N−q
2 ,0
≤ 1−θ
2 d
M"u
|N−q,0
#
, 4.11
for allu∈rqp, Bmandq≥q
0.Letδ0be a real number corresponding toLemma 4.2with
ε θ
4 ·
ε0
2, 4.12
andLrM,that is
dMu v,0< dMu,0 θ 4 ·
ε0
2, 4.13
wheneverdMu,0 ≤ rManddMv,0≤ δ0.Sincex∈ B0, r,we have thatdMx,0≤ rM. Letq≥q0be such that
dM"x
|N−q,0
#
≤δ0. 4.14
Putuxσq|N−qandvx|N−q.Then
dM"u
2,0 #
dM
x
σq|N−q 2 ,0
∞ kq 1
RqBm"x σqk
# pk
< rM,
dM"v
2,0 #
dM"x|N−q,0# ∞
kq 1|
RqBmxk|pk < δ 0.
Hence;
dM"u v
2 ,0 #
∞ kq 1
R
qBm"x
σqk xk # 2 pk ≤ ∞
kq 1 RqBmx
σqk R
qBmxk
2
pk
≤dM"u
2,0
# θ
4 ·
ε0 2
≤ 1−θ
2 d
Mu,0 θ
4 ·
ε0 2,
4.16
dM"u v
2 ,0 #
1−θ
2
∞
kq 1
RqBmx σqk
pk θ 4 ·
ε0
2. 4.17
By using4.17and convexity of the functionft |t|pk, k∈N, we have
dM
x x
σq 2 ,0
∞ k0 R
qBm"x
σqk xk # 2 pk ∞ k0 RqBmx
σqk RqBmxk 2 pk ≤ q k0 RqBmx
σqk R
qBmxk
2
pk
∞
kq 1
RqBmxσqk R
qBmxk
2 pk ≤ 1 2 q k0
|RqBmxk|pk 1 2
q
k0
RqBmx σqk
pk
1−θ
2
∞
kq 1
RqBmx σqk
pk θ 4 · ε0 2 ≤ 1 2 q k0
|RqBmxk|pk 1 2
∞
k0
RqBmx σqk
pk
− θ
2
∞
kq 1
RqBmx σqk
pk θ 4 ·
ε0 2
≤ rM
2 rM 2 − θ 2 · ε0 2 θ 4 · ε0 2
≤rM−θ
4 ·
ε0 2.
HencedMx x
σq/2,0≤rM−θ/4·ε0/2 1/M
.So this implies that
dM""x xσq #
/2,0#≤r−δ 4.19
for someδ >0.Finally; we can say that the sequence spacerqp, Bmhas propertyβ.
Acknowledgment
We would like to express our gratitude to the reviewer for his/her careful reading and valuable suggestions which improved the presentation of the paper.
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