R E S E A R C H
Open Access
Double sequence spaces over
n
-normed
spaces defined by a sequence of Orlicz
functions
Abdullah Alotaibi
1, Mohammad Mursaleen
2*and Sunil K Sharma
3*Correspondence:
2Department of Mathematics,
Aligarh Muslim University, Aligarh, 202002, India
Full list of author information is available at the end of the article
Abstract
In the present paper we introduce double sequence spacem2(M,A,
φ
,p,·,. . .,·) defined by a sequence of Orlicz functions overn-normed space. We examine some of its topological properties and establish some inclusion relations.MSC: 40A05; 46A45
Keywords: double sequence spaces; paranormed space; Orlicz function;n-normed
space
1 Introduction and preliminaries
The initial works on double sequences is found in Bromwich []. Later on, it was studied by Hardy [], Moricz [], Moricz and Rhoades [], Başarır and Sonalcan [] and many oth-ers. Hardy [] introduced the notion of regular convergence for double sequences. Quite recently, Zeltser [] in her PhD thesis has essentially studied both the theory of topologi-cal double sequence spaces and the theory of summability of double sequences. Mursaleen and Edely [] have recently introduced the statistical convergence which was further stud-ied in locally solid Riesz spaces []. Nextly, Mursaleen [] and Mursaleen and Savas [] have defined the almost regularity and almost strong regularity of matrices for double se-quences and applied these matrices to establish core theorems and introduced theM-core for double sequences and determined those four dimensional matrices transforming ev-ery bounded double sequencesx= (xk,l) into one whose core is a subset of theM-core ofx.
More recently, Altay and Başar [] have defined the spacesBS,BS(t),CSp,CSbp,CSrand
BVof double sequences consisting of all double series whose sequence of partial sums are in the spacesMu,Mu(t),Cp,Cbp,CrandLu, respectively and also examined some
prop-erties of these sequence spaces and determined theα-duals of the spacesBS,BV,CSbp
and theβ(v)-duals of the spacesCSbpandCSrof double series. Recently Başar and Sever
[] have introduced the Banach spaceLqof double sequences corresponding to the well
known spaceqof single sequences and examined some properties of the spaceLq. Now,
recently Raj and Sharma [] have introduced entire double sequence spaces. By the con-vergence of a double sequence we mean the concon-vergence in the Pringsheim sensei.e.a double sequencex= (xk,l) has Pringsheim limitL(denoted byP-limx=L) provided that
given> there existsn∈Nsuch that|xk,l–L|<wheneverk,l>n, see []. The double
sequencex= (xk,l) is bounded if there exists a positive numberMsuch that|xk,l|<Mfor
allkandl.
Throughout this paper,NandCdenote the set of positive integers and complex num-bers, respectively. A complex double sequence is a function xfromN×NintoCand briefly denoted by{xk,l}. If for all> , there isn∈Nsuch that|xk,l–a|<wherek>n
andl>n, then a double sequence{xk,l}is said to be convergent toa∈C. A real double
se-quence{xk,l}is non-decreasing, ifxk,l≤xp,qfor (k,l) < (p,q). A double series is infinite sum
∞
k,l=xk,l and its convergence implies the convergence of partial sums sequence{Sn,m},
whereSn,m= m
k=
n
l=xk,l(see []). For recent development on double sequences, we
refer to [–] and [–].
A double sequence spaceEis said to be solid if{xk,lyk,l} ∈Efor all double sequences {yk,l}of scalars such that|yk,l|< for allk,l∈Nwhenever{xk,l} ∈E.
Letx={xk,l}be a double sequence. A setS(x) is defined by
S(x) ={Xπ(k),π(k)}:πandπare permutation ofN
.
IfS(x)⊆Efor allx∈E, thenEis said to be symmetric. Now letPsbe a family of subsetsσ
having at most elementssinN. AlsoPs,tdenotes the class of subsetsσ=σ×σinN×N such that the element numbers ofσandσare at mostsandt, respectively. Besides{φk,l}
is taken as a non-decreasing double sequence of the positive real numbers such that
kφk+,l≤(k+ )φk,l, lφk,l+≤(l+ )φk,l.
An Orlicz functionM: [,∞)→[,∞) is a continuous, non-decreasing, and convex func-tion such thatM() = ,M(x) > forx> andM(x)→ ∞asx→ ∞.
Lindenstrauss and Tzafriri [] used the idea of Orlicz function to define the following sequence space:
M=
x∈w: ∞
k=
M |
xk|
ρ
<∞ ,
which is called an Orlicz sequence space. AlsoMis a Banach space with the norm
x=inf
ρ> : ∞
k=
M |
xk|
ρ
≤ .
Also, it was shown that every Orlicz sequence spaceMcontains a subspace isomorphic
top(p≥). The-condition is equivalent toM(Lx)≤LM(x), for allLwith <L< .
An Orlicz functionMcan always be represented in the following integral form:
M(x) =
x
η(t)dt,
For further reading on Orlicz spaces, we refer to [–].
LetXbe a linear metric space. A functionp:X→Ris called a paranorm if
() p(x)≥for allx∈X, () p(–x) =p(x)for allx∈X,
() p(x+y)≤p(x) +p(y)for allx,y∈X,
() if(λn)is a sequence of scalars withλn→λasn→ ∞and(xn)is a sequence of vectors withp(xn–x)→asn→ ∞, thenp(λnxn–λx)→asn→ ∞.
A paranormpfor whichp(x) = impliesx= is called a total paranorm and the pair (X,p) is called a total paranormed space. It is well known that the metric of any linear metric space is given by some total paranorm (see [], Theorem .., p.).
The concept of -normed spaces was initially developed by Gähler [] in the mid-s, while that ofn-normed spaces one can see in Misiak []. Since then, many others have studied this concept and obtained various results; see Gunawan [, ] and Gunawan and Mashadi [] and references therein. Letn∈NandXbe a linear space over the field K, whereKis the field of real or complex numbers of dimensiond, whered≥n≥. A real valued function·, . . . ,·onXnsatisfying the following four conditions:
() x,x, . . . ,xn= if and only ifx,x, . . . ,xnare linearly dependent inX; () x,x, . . . ,xnis invariant under permutation;
() αx,x, . . . ,xn=|α|x,x, . . . ,xnfor anyα∈K, and () x+x,x, . . . ,xn ≤ x,x, . . . ,xn+x,x, . . . ,xn
is called a n-norm onX, and the pair (X,·, . . . ,·) is called an-normed space over the field K. For example, we may take X=Rn being equipped with the Euclideann-norm x,x, . . . ,xnE, the volume of then-dimensional parallelepiped spanned by the vectors x,x, . . . ,xnwhich may be given explicitly by the formula
x,x, . . . ,xnE=det(xij),
where xi= (xi,xi, . . . ,xin)∈Rnfor eachi= , , . . . ,n. Let (X,·, . . . ,·) be a n-normed
space of dimensiond≥n≥ and{a,a, . . . ,an}be linearly independent set inX. Then the function·, . . . ,·∞onXn–defined by
x,x, . . . ,xn–∞=maxx,x, . . . ,xn–,ai:i= , , . . . ,n
defines an (n– )-norm onXwith respect to{a,a, . . . ,an}.
A sequence (xk) in an-normed space (X,·, . . . ,·) is said to converge to someL∈Xif
lim
k→∞xk–L,z, . . . ,zn–= for everyz, . . . ,zn–∈X.
A sequence (xk) in an-normed space (X,·, . . . ,·) is said to be Cauchy if
lim k→∞ p→∞
xk–xp,z, . . . ,zn–= for everyz, . . . ,zn–∈X.
The spacem(φ) was introduced by Sargent []:
m(φ) =
x= (xk)∈w:xm(φ)= sup
s≥,σ∈Ps
φs
k∈σ
|xk|<∞
,
which was further studied in [, ] and []. Recently, Duyar and Oˇgur [] introduced the sequence spacem(M,A,φ,p) and studied some of its properties.
LetA= (aijkl) be an infinite double matrix of complex numbers,M= (Mk,l) be a
se-quence of Orlicz functions, andp= (pk,l) be a bounded double sequence of positive real
numbers. In the present paper we define the following sequence space:
mM,A,φ,p,·, . . . ,·
=
x= (xk,l)∈w(X) :sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aijρ(x),z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t <∞for someρ> ,
whereA(x) = (Aij(x)) ifAij(x) =∞k,l=aijklxk,lconverges for each (i,j)∈N×N.
Ifp= (pij) = , we have
mM,A,φ,·, . . . ,· =
x= (xk,l)∈w(X) :sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(x)
ρ ,z, . . . ,zn–
:
(s,t)≥(, ),σ×σ∈Ps,t <∞for someρ> .
The following inequality will be used throughout the paper:
|a+b|pij≤max, H–|a|pij+|b|pij, (.)
wherea,b∈CandH=sup{pij: (i,j)∈N×N}.
We examine some topological properties ofm(M,A,φ,p,·, . . . ,·) and establish some inclusion relations.
2 Main results
Theorem . LetM= (Mk,l)be a sequence of Orlicz functions and p= (pk,l)be a bounded sequence of positive real numbers,then the space m(M,A,φ,p,·, . . . ,·)is linear space
over the field of complex numberC.
Proof Letx= (xk,l),y= (yk,l)∈m(M,A,φ,p,·, . . . ,·) andα,β∈C. Then there exist
pos-itive numbersρandρsuch that
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aijρ(x),z, . . . ,zn–
and
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(y)
ρ
,z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t <∞.
Letρ=max(|α|ρ, |β|ρ). SinceMis a non-decreasing and convex function, we have
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(αx+βy)
ρ
,z, . . . ,zn–
pij
≤
i∈σ
j∈σ
∞
k,l=
Mk,l
αaijklxk,l+βaijklyk,l
ρ
,z, . . . ,zn–
pij
≤
i∈σ
j∈σ
∞
k,l=
Mk,l
αaijklxk,l
|α|ρ
,z, . . . ,zn–
+βaijklyk,l |β|ρ
,z, . . . ,zn–
pij
=
i∈σ
j∈σ
∞
k,l=
Mk,l
aijklxk,l
ρ
,z, . . . ,zn–
+aijklyk,l ρ
,z, . . . ,zn–
pij
≤max, H–
i∈σ
j∈σ
∞
k,l=
Mk,l
aijklxk,l
ρ
,z, . . . ,zn–
pij
+
i∈σ
j∈σ
∞
k,l=
Mk,l
aijklyk,l
ρ
,z, . . . ,zn–
pij
.
Thus, we have
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(αρx+βy),z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
≤max, H–
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
aijklxk,l
ρ
,z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
+sup
φs,t
i∈σ
j∈σ
Mk,l
aijklyk,l
ρ
,z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t .
This proves that αx+βy∈m(M,A,φ,p,·, . . . ,·). Hence m(M,A,φ,p,·, . . . ,·) is a linear space. This completes the proof of the theorem.
space with the paranorm defined by
g(x) =inf
ρpqrH :
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aijρ(x),z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t ≤ /H
,q∈N,r∈N .
Proof It is clear thatg(x) =g(–x) andg(x) = ifx= . Then there exist positive numbers
ρandρsuch that
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(x)
ρ
,z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t <
and
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aijρ(y),z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t < .
Then, by using Minkowski’s inequality, we have
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(x+y)
ρ+ρ
,z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
≤sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(x)
ρ+ρ
,z, . . . ,zn–
+ Aij(y)
ρ+ρ
,z, . . . ,zn–
pij
: (s,t)≥(, ),σ×σ∈Ps,t
≤
ρ
ρ+ρ
h
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(x)
ρ
,z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
+
ρ
ρ+ρ
h
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(y)
ρ
,z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t ,
whereh=infpij. This shows thatg(x+y)≤g(x) +g(y). Using this triangle inequality we can write
Thus we have
gλnxn–λnx
=inf ρ pqr H n : sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(λnxρnn–λnx),z, . . . ,zn–
pij:
(s,t)≥(, ),σσ∈Ps,t ≤ /H
≤,q∈N,r∈N
=inf
ρnpqr/H:
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(ρ(nx/|nλ–n|x)),z, . . . ,zn– pij:
(s,t)≥(, ),σ×σ∈Ps,t ≤ /H
≤,q∈N,r∈N
=inf
λnρn pqr/H
:
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(xρnn–x),z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
/H
≤,q∈N,r∈N
≤maxλnh/H,λn×inf
λnρn
pqr/H
:
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(xρnn–x),z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
/H
≤,q∈N,r∈N
=maxλnh/H,λn·gxn–x.
Thus
gλnx–λx
=inf
ρnpqr/H:
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij((λρnn–λ)x),z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
/H
≤,q∈N,r∈N
=inf
ρnpqr/H:
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(x)
ρn/|λn–λ|
,z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
/H
≤,q∈N,r∈N
=inf
λn–λρn pqr/H
:
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aijρ(nx),z, . . . ,zn–
(s,t)≥(, ),σ×σ∈Ps,t
/H
≤,q∈N,r∈N
≤maxλn–λh/H,λn–λg(x).
Hence g(λnxn –λx)→ where λn → λ and xn → x as n → ∞. This proves that m(M,A,φ,p,·, . . . ,·) is a paranormed space with the paranorm defined byg. This com-pletes the proof of the theorem.
Theorem . Let φ and ψ be two double sequences then m(M,A,φ,p,·, . . . ,·)⊆
m(M,A,ψ,p,·, . . . ,·)if and only ifsup
(s,t)≥(,)(φs,t/ψs,t) <∞.
Proof LetK =sup(s,t)≥(,)(φs,t/ψs,t) <∞. Then φs,t ≤K·ψs,t for all (s,t)≥(, ). If x= {xk,l} ∈m(M,A,φ,p,·, . . . ,·), then
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aijρ(x),z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t
<∞ for someρ> . Thus
sup
Kψs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aij(x)
ρ ,z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t
<∞ for someρ> ,
and hencex={xk,l} ∈m(M,A,ψ,p,·, . . . ,·). This shows that mM,A,φ,p,·, . . . ,·⊆mM,A,ψ,p,·, . . . ,·.
Conversely, let m(M,A,φ,p,·, . . . ,·)⊆m(M,A,ψ,p,·, . . . ,·) and αs,t = φψss,,tt for all
(s,t)≥(, ), and supposesup(s,t)≥(,)αs,t=∞. Then there exists a subsequence{αsi,ti}of
{αs,t}such thatlimi→∞αsi,ti=∞. Ifx={xk,l} ∈m(M,A,φ,p,·, . . . ,·), then we have
sup
ψs,t
i∈σ
j∈σ
∞
k,l=
Mk∞,lAij(x)
ρ ,z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t
=sup
αs,t
φs,t
i∈σ
j∈σ
∞
k,l=
M∞k,lAij(x)
ρ ,z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
≥sup
m≥αsm,tm
sup
φsm,tm
i∈σ
j∈σ
∞
k,l=
M∞k,lAij(x)
ρ ,z, . . . ,zn–
pij:
This is a contradiction asx={xk,l}∈/m(M,A,φ,p,·, . . . ,·). This completes the proof of
the theorem.
Corollary . Let φ and ψ be two double sequences then m(M,A,φ,p,·, . . . ,·) =
m(M,A,ψ,p,·, . . . ,·)if and only ifsup
(s,t)≥(,)αs,t<∞andsup(s,t)≥(,)αs–,t <∞.
Proof It is easy to prove so we omit the details.
Theorem . LetM= (Mk,l),M = (Mk,l)andM = (Mk ,l)be sequences of Orlicz func-tions satisfying-condition.Then
(i) m(M,φ,·, . . . ,·)⊆m(M◦M,φ,·, . . . ,·),
(ii) m(M,A,φ,p,·, . . . ,·)∩m(M ,A,φ,p,·, . . . ,·)⊆
m(M +M ,A,φ,p,·, . . . ,·).
Proof (i) Letx={xk,l} ∈m(M,A,φ,p,·, . . . ,·). Then there existsρ> such that
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Aijρ(x),z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t <∞.
By the continuity ofM, we can take a numberδwith <δ< such thatMk,l(t) <,
when-ever ≤t<δ, for arbitrary << . Now let
yi,j=
Ai,j(x)
ρ ,z, . . . ,zn–
.
Thus we have
i∈σ
j∈σ
∞
k,l=
Mk,l(yi,j)pi,j=
yi,j≤δ
∞
k,l=
Mk,l(yi,j)pi,j+
yi,j>δ
∞
k,l=
Mk,l(yi,j)pi,j.
By the properties of the Orlicz function we have
yi,j≤∞
∞
k,l=
Mk,l(yi,j)pi,j≤max
,Mk,l()H yi,j≤∞
(yi,j)pi,j.
Again, we have
Mk,l(yi,j) <Mk,l
+yi,j
δ
<
Mk,l() + Mk,l
yi,j
δ
foryi,j>δ. IfMsatisfies the-condition, then we have
Mk,l(yi,j) <
T
yi,j
δ Mk,l() +
T
yi,j
δ Mk,l(),
and so
yi,j>δ
Mk,l(yi,j)pi,j≤max
,
T
δMk,l()
H
Hence, we have
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l
Mk,lAij(x)
ρ ,z, . . . ,zn–
pij:
(s,t)≥(, ),σ×σ∈Ps,t
<∞
≤max,Mk,l()H
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l(yi,j)pij: (s,t)≥(, ),σ×σ∈Ps,t
<∞+max
,
T
δMk,l()
H
×sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,l(yi,j)pij: (s,t)≥(, ),σ×σ∈Ps,t <∞.
Thus, we have x={xk,l} ∈m(M◦ M,φ,·, . . . ,·) and hence m(M,φ,·, . . . ,·)⊆ m(M◦M,φ,·, . . . ,·).
(ii) Letx={xk,l} ∈m(M,A,φ,p,·, . . . ,·)∩m(M ,A,φ,p,·, . . . ,·). Then there exists
aρ> such that
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk,lAi,j(x)
ρ ,z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t <∞
and
sup
φs,t
i∈σ
j∈σ
∞
k,l=
Mk ,lAi,j(x)
ρ ,z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t <∞.
By the inequality, we have
i∈σ
j∈σ
∞
k,l=
Mk,l+M k,lAi,j(x)
ρ ,z, . . . ,zn–
pij
≤max, H–
i∈σ
j∈σ
∞
k,l=
Mk,lAi,j(x)
ρ ,z, . . . ,zn–
pij
+max, H–
i∈σ
j∈σ
∞
k,l=
M k,lAi,j(x)
ρ ,z, . . . ,zn–
pij.
Hence
mM,A,φ,p,·, . . . ,·∩mM ,A,φ,p,·, . . . ,·
⊆mM +M ,A,φ,p,·, . . . ,·.
Theorem . The sequence space m(M,φ,p,·, . . . ,·)is solid.
Proof Letα={αk,l} be a double sequence of scalars such that|αk,l| ≤ andy={yk,l} ∈ m(M,φ,p,·, . . . ,·). Then we have
sup
φs,t
k∈σ
l∈σ
Mk,l
αk,lxk,l
ρ ,z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t
≤sup
φs,t
k∈σ
l∈σ
Mk,l
αk,lyk,l
ρ ,z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t
≤sup
φs,t
k∈σ
l∈σ
Mk,l
yk,l
ρ ,z, . . . ,zn–
pij: (s,t)≥(, ),σ×σ∈Ps,t
.
This implies that{αk,lyk,l} ∈m(M,φ,p,·, . . . ,·). This proves that the spacem(M,φ,p, ·, . . . ,·) is a solid.
Corollary . The sequence space m(M,φ,p,·, . . . ,·)is monotone.
Proof It is trivial so we omit the details.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All authors contributed equally and significantly in writing this paper. All authors read and approved the final manuscript.
Author details
1Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia. 2Department of Mathematics, Aligarh Muslim University, Aligarh, 202002, India.3Department of Mathematics, Model
Institute of Engineering and Technology, Kot Bhalwal, JK 181122, India.
Received: 21 February 2014 Accepted: 9 May 2014 Published:29 May 2014 References
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