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. 2018 Jun 15;2018(1):133. doi: 10.1186/s13660-018-1724-9

Generalization of the space l(p) derived by absolute Euler summability and matrix operators

Fadime Gökçe 1,, Mehmet Ali Sarıgöl 1
PMCID: PMC6004023  PMID: 29973772

Abstract

The sequence space l(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 space l(p) to the space |Eϕr|(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.

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

Introduction

Let X, Y be any subsets of ω, the set of all sequences of complex numbers, and A=(anv) be an infinite matrix of complex numbers. By A(x)=(An(x)), we indicate the A-transform of a sequence x=(xv) if the series

An(x)=v=0anvxv

are convergent for n0. If AxY, whenever xX, then A, denoted by A:XY, is called a matrix transformation from X into Y, and we mean the class of all infinite matrices A such that A:XY by (X,Y). For cs, bs, and lp (p1), we write the space of all convergent, bounded, p-absolutely convergent series, respectively. Further, the matrix domain of an infinite matrix A in a sequence space X is defined by

XA={x=(xn)ω:A(x)X}. 1

The α-, β-, and γ-duals of the space X are defined as follows:

Xα={ϵω:(ϵnxn)l1 for all xX},Xβ={ϵω:(ϵnxn)cs for all xX},Xγ={ϵω:(ϵnxn)bs for all xX}.

A subspace X is called an FK space if it is a Frechet space, that is, a complete locally convex linear metric space, with continuous coordinates Pn:XC (n=1,2,), where Pn(x)=xn for all xX; an FK space whose metric is given by a norm is said to be a BK space. An FK space X including the set of all finite sequences is said to have AK if

limmx[m]=limmv=0mxve(v)=x

for every sequence xX, where e(v) is a sequence whose only non-zero term is one in vth place for v0. For example, it is well known that the Maddox space

l(p)={x=(xn):n=1|xn|pn<}

is an FK space with AK with respect to its natural paranorm

g(x)=(n=0|xn|pn)1/M,

where M=max{1,supnpn}; also it is even a BK space if pn1 for all n with respect to the norm

x=inf{δ>0:n=0|xn/δ|pn1}

([1921, 29]).

Throughout this paper, we assume that 0<infpnH< and pn is a conjugate of pn, i.e., 1/pn+1/pn=1, pn>1, and 1/pn=0 for pn=1.

Let av be a given infinite series with sn as its nth partial sum, ϕ=(ϕn) be a sequence of positive real numbers and p=(pn) be a bounded sequence of positive real numbers. The series av is said to be summable |A,ϕn|(p) if (see [10])

n=1(ϕn)pn1|An(s)An1(s)|pn<.

It should be noted that the summability |A,ϕn|(p) includes some well-known summability methods for special cases of A, ϕ and p=(pn). For example, if we take A=Er and pn=k for all n, then it is reduced to the summability method |E,r|k (see [12]) where Euler matrix Er is defined by

enkr={(nk)(1r)nkrk,0kn,0,k>n,

for 0<r<1 and

enk1={0,0k<n,1,k=n.

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 spaces l(p), rpt, l(u,v,p), and l(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 the l(p) (see also [1, 46, 1618, 2328]).

Also, some series spaces have been derived and examined by various absolute summability methods from a different point of view (see [13, 14, 32, 34]). In this paper, we generalize the space l(p) to the space |Eϕr|(p) derived by the absolute summability of Euler means and show that it is a paranormed space linearly isomorphic to l(p). Further, we determine α-, β-, and γ-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.

Needed lemmas

Lemma 2.1

([11])

Let p=(pv) and q=(qv) be any two bounded sequences of strictly positive numbers.

  • (i)
    If pv>1 for all v, then A(l(p),l1) if and only if there exists an integer M>1 such that
    sup{v=0|nKanvM1|pv:KN finite}<. 2
  • (ii)
    If pv1 and qv1 for all vN, then A(l(p),l(q)) if and only if there exists some M such that
    supvn=0|anvM1/pv|qn<.
  • (iii)
    If pv1, then A(l(p),c) if and only if
    (a)limnanv exists for each v,(b)supn,v|anv|pv<,
    and A(l(p),l) iff (b) holds.
  • (iv)
    If pv>1 for all v, then A(l(p),c) if and only if (a) (a) holds, and (b) there is a number M>1 such that
    supnv=0|anvM1|pv<,
    and A(l(p),l) iff (b) holds.

It may be noticed that condition (2) exposes a rather difficult condition in applications. The following lemma produces a condition to be equivalent to (2) and so the following lemma, which is more practical in many cases, will be used in the proofs of theorems.

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{1,2H1}, H=supvpv,

Up[A]=v=0(n=0|anv|)pv

and

Lp[A]=sup{v=0|nKanv|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 of ω. Then we have A(XT,Y) if and only if Aˆ(X,Y) and V(n)(X,c) for all n, where

aˆnv=j=vanjsjv;n,v=0,1,,

and

vmv(n)={j=vmanjsjv,0vm,0,v>m.

Main theorems

In this section, we introduce the paranormed series space |Eϕr|(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 space l(p). Also, we compute the Schauder base, α-, β-, and γ-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 |Eϕr|(p) as

|Eϕr|(p)={aω:n=0ϕnpn1|Anr(s)|pn<},

where

Anr(s)=Anr(s)An1r(s)

and

Anr(s)=k=0n(nk)(1r)nkrksk,n0,A1r(s)=0.

Also, a few calculations give

Anr(s)=m=0nk=mn(nk)(1r)nkrkamm=0n1k=mn1(n1k)(1r)n1krkam=m=1nk=mn(1r)n1k[(n1k1)r(nk)]rkam=m=1nσnmam,

where

σnm={k=mn(1r)n1krk[(n1k1)r(nk)],1mn,0,m>n.

Further, it follows by putting r=q(1+q)1

σnm=(1+q)1nk=mnqk[(n1k1)q(1+q)1(nk)]=(1+q)nk=mn[qk(n1k1)qk+1(n1k)]=qm(1+q)n(n1m1)=(n1m1)(1r)nmrm.

Now, by considering Tnr(ϕ,p)(a)=ϕn1/pnAnr(s), we immediately get that T0r(ϕ,p)(a)=a0ϕ01/p0 and

Tnr(ϕ,p)(a)=ϕn1/pnk=1n(n1k1)(1r)nkrkak=k=1ntnkr(ϕ,p)ak, 3

where

tnkr(ϕ,p)={ϕ01/p0,k=n=0,ϕn1/pn(n1k1)(1r)nkrk,1kn,0,k>n. 4

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

|Eϕr|(p)={a=(ak):n=1|ϕn1/pnk=1n(n1k1)(1r)nkrkak|pn<},

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 matrix Tr(ϕ,p) has a unique inverse Sr(ϕ,p)=(snkr(ϕ,p)) given by

snkr(ϕ,p)={ϕ01/p0,k=n=0,ϕk1/pk(n1k1)(r1)nkrn,1kn,0,k>n. 5

Before main theorems, note that if r=1 and ϕn=1 for all n0, the space |Eϕr|(p) is reduced to the space l(p).

Theorem 3.1

Let 0<r<1 and p=(pn) be a bounded sequence of non-negative numbers. Then:

  1. The set |Eϕr|(p) becomes a linear space with the coordinate-wise addition and scalar multiplication, and also it is an FK-space with respect to the paranorm
    x|Eϕr|(p)=(n=0|Tnr(ϕ,p)(x)|pn)1/M,
    where M=max{1,suppn}.
  2. The space |Eϕr|(p) is linearly isomorphic to the space l(p), i.e., |Eϕr|(p)l(p).

  3. Define a sequence (bn(v)) by Sr((e(v)))=(v=0nsnvr(ϕ,p)e(v)). Then the sequence (bn(v)) is the Schauder base of the space |Eϕr|(p).

  4. The space |Eϕr|(p) is separable.

Proof

(a) The first part is a routine verification, so it is omitted. Since Tr(ϕ,p) is a triangle matrix and l(p) is an FK-space, it follows from Theorem 4.3.2 in [36] that |Eϕr|(p)=[l(p)]Tr(ϕ,p) is an FK-space.

(b) We should show that there exists a linear bijection between the spaces |Eϕr|(p) and l(p). Now, consider Tr(ϕ,p):|Eϕr|(p)l(p) given by (3). Since the matrix corresponding this transformation is a triangle, it is obvious that Tr(ϕ,p) is a linear bijection. Furthermore, since Tr(ϕ,p)(x)l(p) for x|Eϕr|(p), we get

x|Eϕr|(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 |Eϕr|(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 |Eϕr|(p).

(d) Since the space |Eϕr|(p) is a linear metric space with a Schauder base, it is separable. □

Theorem 3.2

Let 0<r<1. Define

D1r={aω:M>1,v=0(n=v|M1bn(v)an|)pv<},D2r={aω:M>1,supvM1/pvn=v|bn(v)an|<},D3r={aω:n=vbn(v)an converges for each v},D4r={aω:M>1,supnv=1n|k=vnbk(v)akM1|pv<},D5r={aω:supn,v|k=vnbk(v)ak|pv<}.
  • (i)
    If pv>1 for all v, then
    {|Eϕr|(p)}α=D1r,{|Eϕr|(p)}β=D4rD3r,{|Eϕr|(p)}γ=D4r.
  • (ii)
    If pv1 for all v, then
    {|Eϕr|(p)}α=D2r,{|Eϕr|(p)}β=D5rD3r,{|Eϕr|(p)}γ=D5r.

Proof

To avoid the repetition of a similar statement, we only calculate β-duals of |Eϕr|(p).

(i) Let us recall that a{|Eϕr|(p)}β if and only if axcs whenever x|Eϕr|(p). Now, by using (5), it can be obtained that

k=0nakxk=T0r(ϕ,p)(x)ϕ01/p0a0+k=1nakv=1kϕv1/pv(k1v1)(r1)kvrkTvr(ϕ,p)(x)=T0r(ϕ,p)(x)ϕ01/p0a0+v=1nϕv1/pvTvr(ϕ,p)(x)k=vnak(k1v1)(r1)kvrk=v=0ndnvTvr(ϕ,p)(x),

where D=(dnv) is defined by

dnv={ϕ01/p0a0,n=v=0,k=vnbk(v)ak,1vn,0,v>n.

Since Tr(ϕ,p)(x)l(p) whenever x|Eϕr|(p), a{|Eϕr|(p)}β if and only if D(l(p),c). So, it follows from Lemma 2.1 that aD4rD3r if pv>1 for all v, and also aD5rD3r if pv1 for all v.

The remaining part of the theorem can be similarly proved by Lemma 2.1. □

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 pn1 and qn1 for all n. Further, let the matrix  be defined by

aˆnv=j=vanjbj(v)

and F=Tr(ψ,q)Aˆ. Then A(|Eϕr|(p),|Eψr|(q)) if and only if there exists an integer M>1 such that, for n=0,1, ,

k=vbk(v)ankconverges for each v, 6
supm,v|k=vmbk(v)ank|pv<, 7

and

supvn=0|M1/pvfnv|qn<. 8

Proof

Suppose that pv1, qv1 for all v. Note that |Eϕr|(p)=[l(p)]Tr(ϕ,p) and |Eψr|(q)=[l(q)]Tr(ψ,q). By Lemma 2.3, A(|Eϕr|(p),|Eψr|(q)) if and only if Aˆ(l(p),|Eψr|(q)) and V(n)(l(p),c), where the matrix V(n) is defined by

vmv(n)={j=vmbj(v)anj,0vm,0,v>m.

One can see that since Aˆ(x)|Eψr|(q)=[l(q)]Tr(ψ,q) whenever xl(p), Aˆ(l(p),|Eψr|(q)) iff F=Tr(ψ,q)Aˆ(l(p),l(q)). Now, applying Lemma 2.1(ii) and (iii) to the matrices F and V(n), it follows that V(n)(l(p),c) iff, for n=0,1, , conditions (6) and (7) hold, and F(l(p),l(q)) iff there exists an integer M such that

supvn=0|M1/pvfnv|qn<,

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>1 for all n, and H=Tr(ψ,1)Aˆ, then A(|Eϕr|(p),|Eψr|(1)) if and only if there exists an integer M>1 such that, for n=0,1, ,

k=vbk(v)ankconverges for each v 9
supnv=0|k=vnbk(v)ankM1|pv< 10

and

v=0(n=0|M1hnv|)pv<. 11

Proof

Let pn>1 for all n. It is clear that |Eϕr|(p)=[l(p)]Tr(ϕ,p) and |Eψr|(1)=lTr(ψ,1). So, by Lemma 2.3, we have A(|Eϕr|(p),|Eψr|(1)) if and only if Aˆ(l(p),|Eψr|(1)) and V(n)(l(p),c), where  and V(n) are given in Theorem 3.3. If we take H=Tr(ψ,1)Aˆ, then it is easily seen that Aˆ(l(p),|Eψr|(1)) iff H(l(p),l1) because, if Aˆ(x)|Eψr|(1) for all xl1(p), H(x)=Tr(ψ,1)(Aˆ(x))l1. So, applying Lemma 2.1(iv) to the matrix V(n), it is obtained that V(n)(l(p),c) iff conditions (9) and (10) are satisfied. Again, if we apply Lemma 2.1(i) and Lemma 2.2 to the matrix H, then we have H(l(p),l1) iff the last condition holds. □

Conclusion

The sequence spaces defined as domains of Riesz, factorable, Nörlund and S-matrices in the spaces l(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 |Eϕr|(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.

Authors’ contributions

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

Funding

No funding was received.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

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Contributor Information

Fadime Gökçe, Email: fgokce@pau.edu.tr.

Mehmet Ali Sarıgöl, Email: msarigol@pau.edu.tr.

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