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R E S E A R C H

Open Access

Generalization of the space

l(p)

derived by

absolute Euler summability and matrix

operators

Fadime Gökçe

1*

and Mehmet Ali Sarıgöl

1

*Correspondence:

[email protected]

1Department of Mathematics,

University of Pamukkale, Denizli, Turkey

Abstract

The sequence spacel(p) having an important role in summability theory was defined and studied by Maddox (Q. J. Math. 18:345–355,1967). In the present paper, we generalize the spacel(p) to the space|Er

φ|(p) derived by the absolute summability of

Euler mean. Also, we show that it is a paranormed space and linearly isomorphic to

l(p). Further, we determine

α

-,

β

-, and

γ

-duals of this space and construct its Schauder basis. Also, we characterize certain matrix operators on the space.

MSC: 40C05; 40F05; 46A45

Keywords: Absolute summability; Euler means; Matrix transformations; Sequences spaces

1 Introduction

LetX,Y be any subsets ofω, the set of all sequences of complex numbers, andA= (anv) be an infinite matrix of complex numbers. ByA(x) = (An(x)), we indicate theA-transform of a sequencex= (xv) if the series

An(x) =

v=0 anvxv

are convergent forn≥0. IfAxY, wheneverxX, thenA, denoted byA:XY, is called a matrix transformation fromXintoY, and we mean the class of all infinite ma-tricesAsuch thatA:XY by (X,Y). For cs,bs, andlp (p≥1), we write the space of all convergent, bounded,p-absolutely convergent series, respectively. Further, the matrix domain of an infinite matrixAin a sequence spaceXis defined by

XA=

x= (xn)∈ω:A(x)∈X

. (1)

Theα-,β-, andγ-duals of the spaceXare defined as follows:

=ω: (nxn)∈l1for allxX

,

=ω: (nxn)∈csfor allxX

,

=ω: (nxn)∈bsfor allxX

.

(2)

A subspaceXis called anFKspace if it is a Frechet space, that is, a complete locally convex linear metric space, with continuous coordinatesPn:XC(n= 1, 2, . . .), wherePn(x) =xn for allxX; anFKspace whose metric is given by a norm is said to be aBKspace. AnFK

spaceXincluding the set of all finite sequences is said to haveAKif

lim

m→∞x

[m]= lim

m→∞ m

v=0

xve(v)=x

for every sequencexX, wheree(v)is a sequence whose only non-zero term is one invth

place forv≥0. For example, it is well known that the Maddox space

l(p) =

x= (xn) :

n=1

|xn|pn<∞

is anFKspace withAKwith respect to its natural paranorm

g(x) =

n=0

|xn|pn 1/M

,

whereM=max{1,supnpn}; also it is even aBK space ifpn≥1 for allnwith respect to the norm

x=inf

δ> 0 :

n=0

|xn/δ|pn≤1

([19–21,29]).

Throughout this paper, we assume that 0 <infpnH<∞andpnis a conjugate ofpn,

i.e., 1/pn+ 1/pn= 1,pn> 1, and 1/pn= 0 forpn= 1.

Let avbe a given infinite series withsnas itsnth partial sum,φ= (φn) be a sequence of positive real numbers andp= (pn) be a bounded sequence of positive real numbers. The series avis said to be summable|A,φn|(p) if (see [10])

n=1

(φn)pn–1An(s) –An–1(s)pn<∞.

It should be noted that the summability|A,φn|(p) includes some well-known summa-bility methods for special cases ofA,φ andp= (pn). For example, if we takeA=Erand

pn=kfor alln, then it is reduced to the summability method|E,r|k(see [12]) where Euler matrixEris defined by

ernk= ⎧ ⎨ ⎩ n

k

(1 –r)nkrk, 0kn, 0, k>n,

for 0 <r< 1 and

e1nk= ⎧ ⎨ ⎩

(3)

Also we refer the readers to the papers [7,9,30,31,35] for detailed terminology. A large literature body, concerned with producing sequence spaces by means of matrix domain of a special limitation method and studying their algebraic, topological structure and matrix transformations, has recently grown. In this context, the sequence spacesl(p),

rt

p,l(u,v,p), andl(Nt,p) were studied by Choudhary and Mishra [8], Altay and Başar [2,3], Yeşilkayagil and Başar [37] by defining as the domains of the band, Riesz, the factorable, and Nörlund matrices in thel(p) (see also [1,4–6,16–18,23–28]).

Also, some series spaces have been derived and examined by various absolute summabil-ity methods from a different point of view (see [13,14,32,34]). In this paper, we generalize the spacel(p) to the space|Er

φ|(p) derived by the absolute summability of Euler means and

show that it is a paranormed space linearly isomorphic tol(p). Further, we determineα-,

β-, andγ-duals of this space and construct its Schauder basis. Finally, we characterize certain matrix transformations on the space.

First, we remind some well-known lemmas which play important roles in our research.

2 Needed lemmas

Lemma 2.1([11]) Let p= (pv)and q= (qv)be any two bounded sequences of strictly positive

numbers.

(i) Ifpv> 1for allv,thenA∈(l(p),l1)if and only if there exists an integerM> 1such that

sup

v=0

nK

anvM–1 p

v

:KNfinite

<∞. (2)

(ii) Ifpv≤1andqv≥1for allvN,thenA∈(l(p),l(q))if and only if there exists some

Msuch that

sup

v

n=0

anvM–1/pv qn

<∞.

(iii) Ifpv≤1,thenA∈(l(p),c)if and only if

(a) lim

n anvexists for eachv, (b) supn,v |anv|

pv<,

andA∈(l(p),l∞)iff(b)holds.

(iv) Ifpv> 1for allv,thenA∈(l(p),c)if and only if(a) (a)holds,and(b)there is a

numberM> 1such that

sup

n

v=0

anvM–1p

v<,

andA∈(l(p),l∞)iff(b)holds.

(4)

Lemma 2.2([33]) Let A= (anv)be an infinite matrix with complex numbers and(pv)be a

bounded sequence of positive numbers.If Up[A] <∞or Lp[A] <∞,then

(2C)–2Up[A]≤Lp[A]≤Up[A],

where C=max{1, 2H–1},H=sup

vpv,

Up[A] =

v=0

n=0

|anv| pv

and

Lp[A] =sup

v=0

nK

anv

pv:KN finite

.

Lemma 2.3([22]) Let X be an FK space with AK,T be a triangle,S be its inverse,and Y be an arbitrary subset ofω.Then we have A∈(XT,Y)if and only ifA∈(X,Y)and V(n)∈(X,c)

for all n,where

ˆ

anv=

j=v

anjsjv; n,v= 0, 1, . . . ,

and

v(mvn)= ⎧ ⎨ ⎩

m

j=vanjsjv, 0≤vm, 0, v>m.

3 Main theorems

In this section, we introduce the paranormed series space|Erφ|(p) as the set of all series

summable by the absolute summability method of Euler matrix and show that this space is linearly isomorphic to the spacel(p). Also, we compute the Schauder base,α-,β-, andγ -duals of the space and characterize certain matrix transformations defined on that space. First of all, we note that, by the definition of the summability|A,φn|(p), we can write the space|Er

φ|(p) as

Eφr(p) =

aω:

n=0

φpn–1

n Arn(s) pn

<∞

,

where

Arn(s) =Arn(s) –Arn–1(s)

and

Arn(s) = n

k=0

n k

(5)

Also, a few calculations give

Arn(s) = n

m=0

n

k=m

n k

(1 –r)nkrkamn–1

m=0

n–1

k=m

n– 1

k

(1 –r)n–1–krkam

= n m=1 n

k=m

(1 –r)n–1–k

n– 1

k– 1 –r n k

rkam

= n

m=1

σnmam,

where

σnm= ⎧ ⎨ ⎩

n

k=m(1 –r)n–1–krk[ n–1

k–1

rnk], 1≤mn, 0, m>n.

Further, it follows by puttingr=q(1 +q)–1

σnm= (1 +q)1–n n

k=m

qk

n– 1

k– 1

q(1 +q)–1

n k

= (1 +q)–n n

k=m

qk

n– 1

k– 1

qk+1

n– 1

k

=qm(1 +q)–n

n– 1

m– 1

=

n– 1

m– 1

(1 –r)nmrm.

Now, by considering Tr

n(φ,p)(a) =φ

1/pn

n Arn(s), we immediately get thatT0r(φ,p)(a) = a0φ

1/p0

0 and

Tnr(φ,p)(a) =φ1/pn

n n

k=1

n– 1

k– 1

(1 –r)nkrkak

= n

k=1

tnkr (φ,p)ak, (3)

where

tnkr (φ,p) = ⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

φ1/p∗0

0 , k=n= 0,

φ1/pn

n n–1

k–1

(1 –r)nkrk, 1≤kn, 0, k>n.

(4)

Therefore, we can state the space|Erφ|(p) as follows:

Eφr(p) =

a= (ak) :

n=1 φ

1/pn

n n

k=1

n– 1

k– 1

(6)

or

Eφr(p) =

l(p)Tr(φ,p)

according to notation (1).

Further, since every triangle matrix has a unique inverse which is a triangle (see [36]), the matrixTr(φ,p) has a unique inverseSr(φ,p) = (sr

nk(φ,p)) given by

srnk(φ,p) = ⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

φ–1/p

0

0 , k=n= 0,

φ–1/p

k

k n–1

k–1

(r– 1)nkrn, 1kn, 0, k>n.

(5)

Before main theorems, note that ifr= 1 and φn= 1 for alln≥0, the space|Erφ|(p) is

reduced to the spacel(p).

Theorem 3.1 Let0 <r< 1and p= (pn)be a bounded sequence of non-negative numbers.

Then:

(a) The set|Eφr|(p)becomes a linear space with the coordinate-wise addition and scalar

multiplication,and also it is anFK-space with respect to the paranorm

x|Erφ|(p)=

n=0

Tnr(φ,p)(x)pn 1/M

,

whereM=max{1,suppn}.

(b) The space|Er

φ|(p)is linearly isomorphic to the spacel(p),i.e.,|Erφ|(p)∼=l(p).

(c) Define a sequence(b(nv))bySr((e(v))) = ( nv=0srnv(φ,p)e(v)).Then the sequence(b

(v)

n )is

the Schauder base of the space|Erφ|(p).

(d) The space|Er

φ|(p)is separable.

Proof (a) The first part is a routine verification, so it is omitted. SinceTr(φ,p) is a trian-gle matrix andl(p) is anFK-space, it follows from Theorem 4.3.2 in [36] that|Er

φ|(p) =

[l(p)]Tr(φ,p)is anFK-space.

(b) We should show that there exists a linear bijection between the spaces|Er

φ|(p) and l(p). Now, considerTr(φ,p) :|Er

φ|(p)→l(p) given by (3). Since the matrix corresponding

this transformation is a triangle, it is obvious thatTr(φ,p) is a linear bijection. Further-more, sinceTr(φ,p)(x)l(p) forx∈ |Er

φ|(p), we get

x|Er φ|(p)=

n=0

Tnr(φ,p)(x)pn 1/M

=Tr(φ,p)(x)l(p).

So,Tr(φ,p) preserves the paranorm, which completes this part of the proof. (c) Since the sequence (e(v)) is the Schauder base of the space l(p) and |Er

φ|(p) =

[l(p)]Tr(φ,p), it can be written from Theorem 2.3 in [15] that b(v) = (Sr(φ,p)(e(v))) is a

Schauder base of the space|Er

φ|(p).

(7)

Theorem 3.2 Let0 <r< 1.Define

Dr1=

aω:∃M> 1,

v=0

n=v

M–1b(nv)an pv

<∞

,

Dr2=

aω:∃M> 1,sup

v

M1/pv

n=v

b(nv)an<∞

,

Dr

3=

aω:

n=v

b(v)

n anconverges for each v

,

Dr4=

aω:∃M> 1,sup

n n v=1 n

k=v

b(kv)akM–1 pv

<∞

,

Dr5=

aω:sup

n,v

n

k=v

b(kv)ak pv <∞ .

(i) Ifpv> 1for allv,then Eφr(p)

α

=Dr1, Eφr(p)

β

=Dr4Dr3, Erφ(p)

γ

=Dr4.

(ii) Ifpv≤1for allv,then

Er

φ(p)

α

=Dr2, Eφr(p)

β

=Dr5Dr3, Erφ(p)

γ

=Dr5.

Proof To avoid the repetition of a similar statement, we only calculateβ-duals of|Er

φ|(p).

(i) Let us recall thata∈ {|Er

φ|(p)}β if and only ifaxcswheneverx∈ |Eφr|(p). Now, by

using (5), it can be obtained that

n

k=0

akxk=T0r(φ,p)(x)φ –1/p0

0 a0+

n k=1 ak k v=1

φ–1/pv

v

k– 1

v– 1

(r– 1)kvrkTvr(φ,p)(x)

=Tr

0(φ,p)(x)φ –1/p0

0 a0+

n

v=1

φ–1/pv

v Tvr(φ,p)(x) n

k=v

ak

k– 1

v– 1

(r– 1)kvrk

= n

v=0

dnvTvr(φ,p)(x),

whereD= (dnv) is defined by

dnv= ⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

φ–1/p∗0

0 a0, n=v= 0,

n k=vb

(v)

k ak, 1≤vn, 0, v>n.

SinceTr(φ,p)(x)l(p) wheneverx∈ |Er

φ|(p),a∈ {|Erφ|(p)}

βif and only ifD(l(p),c). So,

it follows from Lemma2.1thataDr

4∩Dr3ifpv> 1 for allv, and alsoaDr5∩Dr3ifpv≤1 for allv.

(8)

Theorem 3.3 Let A= (anv)be an infinite matrix of complex numbers, (φn)and(ψn)be

sequences of positive numbers, p= (pn)and q= (qn)be arbitrary bounded sequences of

positive numbers with pn≤1and qn≥1for all n.Further,let the matrixA be defined byˆ

ˆ

anv=

j=v

anjb(jv)

and F=Tr(ψ,q)Aˆ.Then A(|Er

φ|(p),|Erψ|(q))if and only if there exists an integer M> 1 such that,for n= 0, 1, . . . ,

k=v

b(kv)ank converges for each v, (6)

sup

m,v

m

k=v

b(kv)ank pv

<∞, (7)

and

sup

v

n=0

M–1/pvf

nv qn

<∞. (8)

Proof Suppose thatpv≤1,qv≥1 for allv. Note that|Eφr|(p) = [l(p)]Tr(φ,p) and|Eψr|(q) =

[l(q)]Tr(ψ,q). By Lemma2.3,A∈(|Eφr|(p),|Erψ|(q)) if and only ifAˆ∈(l(p),|Eψr|(q)) andV(n)∈

(l(p),c), where the matrixV(n)is defined by

v(n)

mv= ⎧ ⎨ ⎩

m j=vb

(v)

j anj, 0≤vm, 0, v>m.

One can see that sinceAˆ(x)∈ |Er

ψ|(q) = [l(q)]Tr(ψ,q) wheneverxl(p),Aˆ ∈(l(p),|Erψ|(q))

iffF=Tr(ψ,q)Aˆ (l(p),l(q)). Now, applying Lemma2.1(ii) and (iii) to the matricesFand

V(n), it follows thatV(n)(l(p),c) iff, forn= 0, 1, . . . , conditions (6) and (7) hold, andF

(l(p),l(q)) iff there exists an integerMsuch that

sup

v

n=0

M–1/pvf

nvqn<∞,

which completes the proof. Theorem 3.4 Assume that A= (anv)is an infinite matrix of complex numbers and(φn), (ψn)are sequences of positive numbers. If p= (pn)is an arbitrary bounded sequence of

positive numbers such that pn> 1for all n,and H=Tr(ψ, 1)Aˆ,then A∈(|Erφ|(p),|Erψ|(1)) if and only if there exists an integer M> 1such that,for n= 0, 1, . . . ,

k=v

b(kv)ank converges for each v (9)

sup

n

v=0

n

k=v

b(kv)ankM–1 pv

(9)

and

v=0

n=0

M–1hnv pv

<∞. (11)

Proof Letpn> 1 for all n. It is clear that|Eφr|(p) = [l(p)]Tr(φ,p) and|Eψr|(1) =lTr(ψ,1). So,

by Lemma2.3, we haveA∈(|Eφr|(p),|Erψ|(1)) if and only ifAˆ ∈(l(p),|Eψr|(1)) andV(n)∈

(l(p),c), whereAˆ andV(n) are given in Theorem3.3. If we takeH=Tr(ψ, 1)Aˆ, then it is easily seen thatAˆ ∈(l(p),|Er

ψ|(1)) iffH∈(l(p),l1) because, ifAˆ(x)∈ |Erψ|(1) for allxl1(p), H(x) =Tr(ψ, 1)(Aˆ(x))l

1. So, applying Lemma2.1(iv) to the matrixV(n), it is obtained

thatV(n)(l(p),c) iff conditions (9) and (10) are satisfied. Again, if we apply Lemma2.1(i)

and Lemma2.2to the matrixH, then we haveH∈(l(p),l1) iff the last condition holds. 4 Conclusion

The sequence spaces defined as domains of Riesz, factorable, Nörlund andS-matrices in the spacesl(p) and the space of series summable by the absolute Euler have been recently studied by several authors. In this paper, we have defined the new absolute Euler space |Erφ|(p) and investigated some topological and algebraic properties such as isomorphism,

duals, base, and also characterized certain matrix transformations on that space. So, we have extended some well-known results.

Acknowledgements

We thank the editor and referees for their careful reading, valuable suggestions and remarks.

Funding

No funding was received.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

Both authors contributed equally to the manuscript, read and approved the final manuscript.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Received: 9 March 2018 Accepted: 7 June 2018

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