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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

1

and Mustafa Kayikc¸i

2

1Department 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

kw : Bmxrqp}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≤kn,

0, k > n.

1.2

It is well known that the matrixRq rq

(2)

Altay and Bas¸ar1,2 introduced the Riesz sequence spacerqp, rq p, rq

cp, and rcq0pof nonabsolute type which is the set of all sequences whose R

q-transforms are in the

spacelp, lp, 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 xkw:

k0 Q1k

k

j0

qjxj

pk

<

⎫ ⎬

⎭; with

0< pkH <

. 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 xkw:

k0

|xkxk−1|p<

, 1≤p <, 1.4

whereΔdenotes the matrixΔ Δnkdefined by

Δnk

⎧ ⎨ ⎩

−1n−k; n−1≤kn,

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 xkw:Δmxλ}, 1.6

wherem∈N,Δ1xx

kxk 1, andΔmx ΔΔm−1x, whereΔmdenotes the matrixΔm Δmnk defined by

Δm nk

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

−1n−k

m

nk

; max{0, nm} ≤kn,

0; 0≤k <max{0, nm}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 xkw:Δx x

kxk−1∈rq

p; with0< pkH <

(3)

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 nk

rm−n ksn−k; max{0, nm} ≤kn,

0; 0≤k <max{0, nm}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: λμif for every sequencex xkλthe 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:λμ.Thus,Aλ:μif and only if the series on the right side of2.1converges for eachn∈Nand everyxλ,and we haveAx {Axn}n∈Nμfor allxλ.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 xkw:Axλ}. 2.2

Definition 2.3. If a sequence space λ paranormed by h contains a sequence bn with the property that for everyxλthere is a unique sequence of scalarsαnsuch that

lim

n→ ∞h

xn

k0

αkbk

0, 2.3

thenbnis called a Schauder basisor briefly basisforλ. The series∞k0αkbkwhich has the

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Definition 2.4. For the sequence spacesλandμ, define the setSλ, μby

Sλ, μz zkw:xz xkzkμxλ

. 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< pkH <for everyk∈N.ThenAlp: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.ThenAlp:l1if and only if

sup

K∈Fsupk∈N

n∈K ank

pk

<. 2.7

Lemma 2.6see14. iLet1< pkH <for everyk∈N.ThenAlp:lif 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.ThenAlp:lif and only if

sup

n,k∈N|ank|

pk <. 2.9

Lemma 2.7see14. Let0 < pkH <for everyk ∈N.ThenAlp: cif and only if 2.8,2.9hold, and

lim

n→ ∞ankβk fork∈N 2.10

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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 ik

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 ik

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 xkw:yn

qlp

x xkw:

k0 1 Qk k−1 n0 k in m in

rm−i nsi−nqixn

rm Qkqkxk

pk <

.

3.3

If we takem1,then we have

rqp, B

⎧ ⎨

x xkw:

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

ij

rm−i jsi−jqixj

⎤ ⎦ rmqk

Qk xk

pk⎞ ⎠

1/M

, 3.5

(6)

Proof. The linearity of rqp, Bm with respect to the co-ordinatewise addition and scalar

multiplication follows from the inequalites which are satisfied foru, vrqp, 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|pkmax 1,|α|M!. 3.7

It is obvious that 0 andgu gufor allurqp, Bm. Letu

k, vkrqp, Bm:

gu v

⎛ ⎝∞

k0 Q1k

k−1

j0 ⎡ ⎣k

ij

m ij

rm−i jsi−jqi

uj vj

rmq k Qk

uk vk

pk⎞ ⎠

1/M

⎛ ⎝∞

k0 Q1k

k−1

j0 ⎡ ⎣k

ij

m ij

rm−i jsi−jqi

uj

rmq k Qk

uk

pk⎞ ⎠

1/M

⎛ ⎝∞

k0 Q1k

k−1

j0 ⎡ ⎣k

ij

m ij

rm−i jsi−jqi

vj

rmq k Qk

vk

pk⎞ ⎠

1/M

,

3.8

gu vgu 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

gxnx−→0, 3.11

andλnalso be any sequence of scalars such thatλnλ.Then, since the inequality

(7)

holds by subadditivity ofg,{gxn}is bounded, and thus we have

gλnxnλx

⎛ ⎝∞

k0 Q1k

k−1

j0 ⎡ ⎣k

ij

m

ij

rm−i jsi−jqi

"

λnxnjλxj

#⎤ ⎦ rmqk

Qk

λnxnkλxk

pk⎞ ⎠

1/M

,

≤ |λnλ|1/M

⎛ ⎝∞

k0 Q1k

k−1

j0 ⎡ ⎣k

ij

m

ij

rm−i jsi−jqi

"

xnj#

⎤ ⎦ rmqk

Qk xnk

pk⎞ ⎠

1/M

|λ|1/M

⎛ ⎝∞

k0 Q1k

k−1

j0 ⎡ ⎣k

ij

m

ij

rm−i jsi−jqi

"

xnjxj

#⎤ ⎦ rmqk

Qk

xnkxk

pk⎞ ⎠

1/M

,

≤ |λnλ|1/Mgxn |λ|1/Mgxnx,

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"xixj#< ε, 3.14

for alli, jn0ε.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, jn0εwhich 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

kRqBmxkasi → ∞.Hence by using these infinitely many limits RqBmx

0,RqBmx1, . . ., we define the sequence{RqBmx0,RqBmx1, . . .}. Since3.14holds for eachp∈Nandi, jn0ε,

p

k0 "

RqBmxi# k

"

RqBmxj# k

pk

(8)

Take anyin0ε,first letj → ∞in3.17and thenp → ∞,to obtaingxixε.Finally, takingε 1 in3.17and lettingin01,we have Minkowski’s inequality for eachp ∈N, that is,

p

k0 "

RqBmxi# k

pk 1/M

g"xix# g"xi#1 g"xi#, 3.18

which implies thatxrqp, Bm. Sincegxixεfor allin

0εit follows thatxixas

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

kH <.

Proof. For the proof of the theorem, we should show the existence of a linear bijection between the spacesrqp, Bmandlpfor 0< pkH <.With the notation of

yk

1

Qk k−1

j0 ⎡ ⎣k

ij

m ij

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 thatwheneverTxθand henceT is injective. Letylpand define the sequencex xkby

xk k−1

n0 n 1

in

−1k−n s

k−i

rm k−i

m ki−1

ki

1

qi Qnyn

Qk rmq k

yk, fork∈N. 3.20

Then,

gx

⎛ ⎝∞

k0 Q1k

k−1

j0 ⎡ ⎣k

ij

m ij

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,

(9)

and g1y is a paranorm on lp. Thus, we have that xrqp, 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 ni−1

ni

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< pkH <.

Proof. This can be easily obtained by12, Theorem 5so we omit the proof.

Theorem 3.4. iLet1< pkH <for everyk∈N.Define the setQ1pas follows:

Q1

p

& K>1

⎧ ⎨

aakw:supN∈F

k0

n∈N

k 1

ik

−1n−k sn−i

rm n−i

m ni−1

ni

1

qi anQk

an rmqnQn

K−1

pk

<

.

3.25

Then;rqp, BmαQ

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iiLet0< pk≤1for everyk∈N.Define the setQ2pby

Q2

p

& K>1

aakw: sup

N∈Fsupk∈N

n∈N

k 1

ik

−1n−k s

n−i

rm n−i

m ni−1

ni

1

qianQk an rmqnQn

K−1

pk

<

.

3.26

Then;rqp, BmαQ

2p.

Proof. iLeta akw.We easily derive with the notation

yk

1

Qk k−1

j0 ⎡ ⎣k

ij

m ij

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 ni−1

ni

1

qi

anQk, 0≤kn−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 anxnl1 wheneverx xkrqp, Bm if and only ifUy l

1 whenever y yklp.From Lemma 2.5i, we obtain the desired result that

'

rqp, Bm(αQ

1

p. 3.29

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Theorem 3.5. iLet1< pkH <for everyk∈N.Define the setQ3pas follow: Q3 p & K>1 ⎧ ⎪ ⎨ ⎪

aakw:

k0 ⎡ ⎣ ⎛ ⎝ ak

rmq k

k 1

ik

−1n−k sn−i

rm n−i

m ni−1

ni

1

qi n

jk 1

aj

⎞ ⎠Qk

⎤ ⎦K−1

pk

<

.

3.30

Then;rqp, BmβQ

3pcs.

iiLet0< pk≤1for everyk∈N.Define the setQ4pby

Q4 p ⎧ ⎨

a akw: supk∈N ⎡ ⎣ ⎛ ⎝ ak

rmq k

k 1

ik

−1n−k s

n−i

rm n−i

m ni−1

ni

1

qi n

jk 1

aj

⎞ ⎠Qk

⎤ ⎦ pk <∞ ⎫ ⎬ ⎭. 3.31

Then;rqp, BmβQ

4pcs.

Proof. iIf we take the matrixT tnkby

tnk ⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩ ⎛ ⎝ ak

rmq k

k 1

ik

−1n−k s

n−i

rm n−i

m ni−1

ni

1

qi n

jk 1

aj

Qk, 0kn,

0, k > n,

3.32

fork, n∈Nand if we carry out the method which is used in1,12, we get thatax anxncswheneverx xkrqp, Bmif and only ifTycwhenevery yklp.Hence we

deduce fromLemma 2.7that

k0 ⎡ ⎣ ⎛ ⎝ ak

rmqk k 1

ik

−1n−k sn−i

rm n−i

m ni−1

ni

1

qi n

jk 1

aj

⎞ ⎠Qk

⎤ ⎦K−1

pk

<, 3.33

and limntnkexists which is shown that

'

rqp, Bm(βQ3

(12)

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< pkH <for everyk∈N.ThenArqp, Bm;lif 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 ni−1

ni

1

qi n

jk 1

anj

⎞ ⎠Qk

⎤ ⎦K−1

pk

<,

{ank}k∈Ncs,

3.35

for eachn∈N.

iiLet0< pk≤1for everyk∈N.ThenArqp, Bm;lif and only if

sup

n,k∈N ⎡ ⎣

⎛ ⎝ ank

rmq k

k 1

ik

−1n−k s

n−i

rm n−i

m ni−1

ni

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 bygxk0|RqBmx

k|pk1/Mfor allx xnrqp, 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 gxy.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 xnrqp, 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 elementxB0, rand each sequencexnin

(13)

Lemma 4.2. Iflim infk→ ∞pk>0,then for anyL >0andε >0,and for anyu, vrqp, Bm,there

existsδδε, L>0such that

dMu v,0< dMu,0 ε, 4.1

wheneverdMu,0LanddMv,0δ.

Proof. Letε >0 andL >0 be given. Let 0< α0 <lim infk→ ∞pkandα0<1, there existsk0 ∈N such that 0< α0 ≤pkfor allkk0.Letα min{pk :k 1,2, . . . , k0;α0}.Thusαpkfor all k∈N. There existsK0 ≥2 such that

dM2u,0≤K0dMu,0, 4.2

for allurqp, Bm.Setβ 2αε/2K

0L1/α.There existsK1≥K0such that

dM

2

βu,0

K1dMu,0, 4.3

for allurqp, 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 bpkapk bpk forpk < 1 and

0< βpk < βαwhereβ0,1andk∈N, we have

dMu v,0 dM$1−βu β"u β−1v#,0%

i0

RqBm$1βui β"ui β−1vi#% pi

≤∞

i0

RqBm'1βui( RqBm$β"ui β−1vi#% pi

i∈A

RqBm'1βui( RqBm$β"ui β−1vi#% pi

i∈C

RqBm'1βui( 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

(14)

≤∞

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 anyxrqp, Bm,there existsk0 ∈Nandθ ∈ 0,1

such that

dM

x

|N−k

2 ,0

≤ 1−θ

2 d

Mx

|N−k,0 4.5

(15)

Proof. Letαbe a real number such that 1< α <lim infn→ ∞pn.Then there existsk0 ∈Nsuch thatαpkfor allkk0.Letθ∈0,1be a real number such that1/2α<1−θ/2.Then for eachxrqp, Bmandkk

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 andxnB0, rwithdxn, xmεform /n.Take 0< ε0 < εM.There exists

δ > 0 such thatεMδ ε

0.LetxB0, r.Since for eachj ∈N,xnjn1 is bounded, by using the diagonal method, we have that for eachq∈N, we can find a subsequencexnaof xnsuch thatxnajconverges for allj ∈Nwith 1≤jq.Sincexnajis Cauchy sequence for all 1≤jq,there existstq∈Nsuch that

q

k0

|RqBmxnakR qBmx

nbk| pk

q

k0

|RqBmxnakxnbk|

pk < δ, 4.7

for allna, nbtq.Then we see that

ε < dxna, xnb

k0

|RqBmx

nakxnbk| pk

1/M ,

εMq

k0

|RqBmxnakxnbk| pk

kq 1

|RqBmxnakxnbk| pk,

εMδ

kq 1

|RqBmxnakxnbk| pk.

4.8

Therefore, for eachq∈N,there existstq∈Nsuch that

dM"x

na|N−q, xnb|N−q #

εMδε

(16)

for allna, nbtq.Hence, there is a sequence of positive integersσqq1 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 allurqp, Bmandqq

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.SincexB0, r,we have thatdMx,0≤ rM. Letqq0be 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.

(17)

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 pkk0 RqBmx

σqk RqBmxk 2 pkq 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

rMθ

4 ·

ε0 2.

(18)

HencedMx x

σq/2,0≤rMθ/ε0/2 1/M

.So this implies that

dM""x xσq #

/2,0#≤rδ 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.

References

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Pure and Applied Mathematika Sciences, vol. 34, no. 1-2, pp. 87–90, 1991.

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12 M. Bas¸arir and M. ¨Ozt ¨urk, “On the Riesz difference sequence space,”Rendiconti del Circolo Matematico di Palermo, vol. 57, no. 3, pp. 377–389, 2008.

13 K.-G. Grosse-Erdmann, “Matrix transformations between the sequence spaces of Maddox,”Journal of Mathematical Analysis and Applications, vol. 180, no. 1, pp. 223–238, 1993.

14 C. G. Lascarides and I. J. Maddox, “Matrix transformations between some classes of sequences,”

Proceedings of the Cambridge Philosophical Society, vol. 68, pp. 99–104, 1970.

15 I. J. Maddox,Elements of Functional Analysis, Cambridge University Press, Cambridge, UK, 1970. 16 I. J. Maddox, “Paranormed sequence spaces generated by infinite matrices,” Proceedings of the

Cambridge Philosophical Society, vol. 64, pp. 335–340, 1968.

References

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