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ISSN 2219-7184; Copyright ICSRS Publication, 2011c www.i-csrs.org

Available free online at http://www.geman.in

On Some Properties of I

2

-Convergence and I

2

-Cauchy of Double Sequences

Erdin¸c D¨undar1 and Bilal Altay2

1Fethi Gemuhluo˘glu Anadolu ¨O˘gretmen Lisesi, Malatya \ T¨urkiye

E-mail: [email protected]

2˙In¨on¨u ¨Universitesi E˘gitim Fak¨ultesi ˙Ilk¨o˘gretim B¨ol¨um¨u, Malatya \ T¨urkiye

E-mail: [email protected] (Received: 24-3-11/ Accepted: 12-11-11)

Abstract

In this paper we study the concepts of I-Cauchy and I-Cauchy for dou- ble sequences in a linear metric space. Also, we give the relation between I-convergence andI-convergence of double sequences of functions defined be- tween linear metric spaces.

Keywords: Double sequence, ideal, I-Cauchy, I-convergence.

1 Introduction

The concept of convergence of a sequence of real numbers has been extended to statistical convergence independently by Fast [7] and Schoenberg [25]. A lot of developments have been made in this area after the works of ´Sal´at [23]

and Fridy [10, 11]. In general, statistically convergent sequences satisfy many of the properties of ordinary convergent sequences in metric spaces [7, 10, 11, 22]. This concept was extended to the double sequences by Mursaleen and Edely [18]. C¸ akan and Altay [3] presented multidimensional analogues of the results of Fridy and Orhan [12]. They introduced the concepts of statistically boundedness, statistical inferior and statistical superior of double sequences. In addition to these results they investigated statistical core for double sequences and studied an inequality related to the statistical core andP-core of bounded

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double sequences. Furthermore, G¨okhan et al. [14] introduced the notion of pointwise and uniform statistical convergent of double sequences of real-valued functions.

The idea of I-convergence was introduced by Kostyrko et al. [15] as a generalization of statistical convergence which is based on the structure of the ideal I of subsets of the set of natural numbers. Nuray and Ruckle [20] inde- pendently introduced the same concept as the name generalized statistical con- vergence. Kostyrko et al. [16] gave some of basic properties of I-convergence and dealt with extremal I-limit points. Das et al. [4] introduced the con- cept ofI-convergence of double sequences in a metric space and studied some properties of this convergence. Also, Das and Malik [5] defined the concept of I-limit points,I-cluster points, I-limit superior andI-limit inferior of double sequences.

Nabiev et al. [19] proved a decomposition theorem for I-convergent se- quences and introduced the notions of I-Cauchy sequence and I-Cauchy se- quence, and then studied their certain properties. Balcerzak et al. [2] discussed various kinds of statistical convergence andI-convergence for sequences of real valued functions or for sequences of functions into a metric space. For real valued measurable functions defined on a measure space (X,M, µ), they ob- tained a statistical version of the Egorov theorem (when µ(X) < ∞). They showed that, in its assertion, equi-statistical convergence on a big set cannot be replaced by uniform statistical convergence. Also, they considered statistical convergence in measure andI-convergence in measure, with some consequences of the Riesz theorem. Gezer and Karaku¸s [13] investigated I-pointwise and uniform convergence and I-pointwise and uniform convergence of function sequences and then they examined the relation between them. A lot of devel- opments have been made in this area after the works of [2, 6, 8, 17, 24, 26].

In this paper first we investigate some properties ofI-Cauchy,I-Cauchy of double sequences in a linear metric space with property (AP2). Next we prove two theorems of I-convergent,I-convergent of double sequences of functions on metric space with property (AP2).

2 Definitions and Notations

Throughout the paper byN and R, we denote the sets of all positive integers and real numbers, and χA is the the characteristic function of A⊂N.

Now, we recall some concepts of the sequences (See [4, 7, 14, 15, 18, 21, 24]).

A subset A of N is said to have asymptotic densityd(A) if

d(A) = lim

n→∞

1 n

n

X

k=1

χA(k).

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A sequence x = (xn)n∈N of real numbers is said to be statistically con- vergent to L ∈ R if for any ε > 0 we have d(A(ε)) = 0, where A(ε) = {n ∈N:|xn−L| ≥ε}.

A double sequencex= (xmn)m,n∈Nof real numbers is said to be convergent toL∈Rin Pringsheim’s sense if for any ε >0, there existsNε ∈Nsuch that

|xmn−L|< ε, whenever m, n > Nε. In this case we write

m,n→∞lim xmn=L.

A double sequencex= (xmn)m,n∈Nof real numbers is said to be bounded if there exists a positive real number M such that |xmn|< M, for all m, n∈N.

Let K ⊂ N×N. Let Kmn be the number of (j, k) ∈ K such that j ≤ m, k ≤ n. If the sequence Kmn

m.n has a limit in Pringsheim’s sense then we say that K has double natural density and is denoted by

d2(Kmn) = lim

m,n→∞

Kmn

m.n.

A double sequencex= (xmn)m,n∈Nof real numbers is said to be statistically convergent to L ∈ R, if for any ε > 0 we have d2(A(ε)) = 0, where A(ε) = {(m, n)∈N×N:|xmn−L| ≥ε}.

A double sequence of functions{fmn}is said to be pointwise convergent to f on a set S ⊂ R, if for each point x ∈ S and for each ε > 0, there exists a positive integer N(x, ε) such that

|fmn(x)−f(x)|< ε, for all m, n > N. We write

m,n→∞lim fmn(x) = f(x) or fmn →f, onS.

A double sequence of functions {fmn} is said to be pointwise statistically convergent to f on a set S⊂R, if for every ε >0,

m,n→∞lim 1

mn|{(i, j), i≤m and j ≤n :|fij(x)−f(x)| ≥ε}|= 0, for each (fixed)x∈S, i.e., for each (fixed) x∈S,

|fij(x)−f(x)|< ε, a.a.(i, j).

We write

st− lim

m,n→∞fmn(x) =f(x)or fmnst f, onS.

LetX 6=∅. A class I of subsets of X is said to be an ideal in X provided the following statements hold:

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(i) ∅ ∈ I.

(ii) A, B ∈ I impliesA∪B ∈ I.

(iii) A ∈ I , B ⊂A implies B ∈ I.

I is called a nontrivial ideal if X6∈ I.

LetX 6=∅. A non empty class F of subsets of X is said to be a filter in X provided the following statements hold:

(i) ∅ 6∈ F.

(ii) A, B ∈ F implies A∩B ∈ F. (iii) A ∈ F , A⊂B implies B ∈ F.

IfI is a nontrivial ideal in X, X 6=∅, then the class F(I) ={M ⊂X : (∃A∈ I)(M =X\A)}

is a filter onX, called the filter associated with I.

A nontrivial ideal I inX is called admissible if {x} ∈ I for each x∈X.

Throughout the paper we takeI2 as a nontrivial admissible ideal in N×N. A nontrivial ideal I2 of N×N is called strongly admissible if {i} ×N and N× {i} belong to I2 for each i∈N.

It is evident that a strongly admissible ideal is also admissible.

Let I20 = {A ⊂ N×N : (∃m(A) ∈ N)(i, j ≥ m(A) ⇒ (i, j) 6∈ A)}. Then I20 is a nontrivial strongly admissible ideal and clearly an ideal I2 is strongly admissible if and only ifI20 ⊂ I2.

In this study we consider theI2 and I2-convergence of double sequences in the more general structure of a metric space (X, ρ). Unless stated otherwise we shall denote the metric space (X, ρ) in short byX.

Let (X, ρ) be a linear metric space andI2 ⊂2N×N be a strongly admissible ideal. A double sequence x = (xmn)m,n∈N of elements of X is said to be I2- convergent to L∈X, if for anyε >0 we have

A(ε) = {(m, n)∈N×N:ρ(xmn, L)≥ε} ∈ I2. In this case we say thatx is I2-convergent and we write

I2− lim

m,n→∞xmn =L.

IfI2 is a strongly admissible ideal onN×N, then usual convergence implies I2-convergence.

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Let (X, ρ) be a linear metric space andI2 ⊂2N×N be a strongly admissible ideal. A double sequence x = (xmn)m,n∈N of elements of X is said to be I2- convergent to L ∈ X, if there exists a set M ∈ F(I2) (i.e., N×N\M ∈ I2) such that

m,n→∞lim xmn=L, for (m, n)∈M and we write

I2− lim

m,n→∞xmn=L.

Let (X, ρ) be a linear metric space andI2 ⊂2N×N be a strongly admissible ideal. A double sequence x = (xmn)m,n∈N of elements of X is said to be I2- Cauchy if for every ε >0 there exist s=s(ε), t=t(ε)∈Nsuch that

A(ε) = {(m, n)∈N×N:ρ(xmn, xst)≥ε} ∈ I2.

We say that an admissible ideal I2 ⊂2N×N satisfies the property (AP2), if for every countable family of mutually disjoint sets {A1, A2, ...} belonging to I2, there exists a countable family of sets {B1, B2, ...} such thatAj∆Bj ∈ I20, i.e., Aj∆Bj is included in the finite union of rows and columns in N×N for eachj ∈N and B =S

j=1Bj ∈ I2 (hence Bj ∈ I2 for each j ∈N).

Now we begin with quoting the lemmas due to Das et al. [4] which are needed in the proof of theorems.

Lemma 2.1 [4, Theorem 1], Let I2 ⊂ 2N×N be a strongly admissible ideal.

If I2−limm,n→∞xmn =L then I2 −limm,n→∞xmn =L.

Lemma 2.2 [4, Theorem 3], IfI2 is an admissible ideal ofN×Nhaving the property (AP2) and (X, ρ) is an arbitrary metric space, then for an arbitrary double sequence x= (xmn)m,n∈N in X

I2− lim

m,n→∞xmn =L implies I2− lim

m,n→∞xmn=L

3 I

2

and I

2

-Cauchy Of Double Sequences

Definition 3.1 ([9]) Let (X, ρ) be a linear metric space and I2 ⊂2N×N be a strongly admissible ideal. A double sequence x = (xmn) in X is said to be I2-Cauchy sequence if there exists a set M ∈ F(I2)(i.e.,H =N×N\M ∈ I2) such that for every ε >0 and for (m, n),(s, t)∈M, m, n, s, t > k0 =k0(ε)

ρ(xmn, xst)< ε.

In this case we write

m,n,s,t→∞lim ρ(xmn, xst) = 0.

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Lemma 3.2 ([9]) Let (X, ρ) be a linear metric space and I2 ⊂ 2N×N be a stronly admissible ideal. If x= (xmn) in X is an I2-Cauchy sequence then it isI2-Cauchy.

Theorem 3.3 Let {Pi}i=1 be a countable collection of subsets of N× N such that {Pi}i=1 ∈ F(I2) for each i, where F(I2) is a filter associate with a strongly admissible ideal I2 with the property (AP2). Then there exists a set P ⊂N×N such that P ∈ F(I2) and the set P\Pi is finite for all i.

Proof. Let A1 = N×N\P1, Am = (N×N\Pm)\(A1 ∪A2 ∪...∪Am−1), (m = 2,3, ...). It is easy to see thatAi ∈ I2 for each i and Ai∩Aj =∅, when i6=j. Then by (AP2 ) property ofI2 we conclude that there exists a countable family of sets {B1, B2, ...} such that Aj4Bj ∈ I20, i.e., Aj4Bj is included in finite union of rows and columns inN×N for each j and B =S

j=1Bj ∈ I2. PutP =N×N\B. It is clear that P ∈ F(I2) .

Now we prove that the set P\Pi is finite for each i. Assume that there exists a j0 ∈ N such that P\Pj0 has infinitely many elements. Since each Aj4Bj (j = 1,2,3, ..., j0) are included in finite union of rows and columns, there exists m0, n0 ∈N such that

(

j0

[

j=1

Bj)∩Cm0n0 = (

j0

[

j=1

Aj)∩Cm0n0, (1)

where Cm0n0 = {(m, n) : m ≥ m0 ∧n ≥ n0}. If m ≥ m0 ∧ n ≥ n0 and (m, n)6∈B, then

(m, n)6∈

j0

[

j=1

Bj

and so by (1)

(m, n)6∈

j0

[

j=1

Aj.

Since Aj0 = (N×N\Pj0)\Sj0−1

j=1 Aj and (m, n) 6∈ Aj0, (m, n) 6∈ Sj0−1

j=1 Aj we have (m, n)∈Pj0 form≥m0∧n≥n0. Therefore, for allm ≥m0∧n≥n0 we get (m, n) ∈ P and (m, n) ∈ Pj0. This shows that the set P\Pj0 has a finite number of elements. This contradicts our assumption that the setP\Pj0 is an infinite set.

Theorem 3.4 Let(X, ρ)be a linear metric space. IfI2 ⊂2N×Nis a strongly admissible ideal with the property (AP2) then the concepts I2-Cauchy double sequence and I2-Cauchy double sequence coincide.

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Proof. If a double sequence is I2-Cauchy, then it isI2-Cauchy by Lemma 3.2, whereI2 need not have the property (AP2).

Now it is sufficient to prove that a double sequence x = (xmn) in X is a I2-Cauchy double sequence under assumption that it is an I2-Cauchy double sequence. Letx= (xmn) in X be an I2-Cauchy double sequence. Then, there existss=s(ε), t=t(ε)∈N such that

A(ε) ={(m, n)∈N×N:ρ(xmn, xst)≥ε} ∈ I2, for every ε >0.

Let

Pi =

(m, n)∈N×N:ρ(xmn, xsiti)< 1 i

; (i= 1,2, . . .),

wheresi =s(1\i), ti =t(1\i). It is clear that Pi ∈ F(I2), (i= 1,2, . . .). Since I2 has the property (AP2), then by Theorem 3.3 there exists a setP ⊂N×N such thatP ∈ F(I2), and P\Pi is finite for all i. Now we show that

m,n,s,t→∞lim ρ(xmn, xst) = 0,

for (m, n),(s, t)∈P. To prove this, letε >0 and j ∈N such thatj >2/ε. If (m, n),(s, t) ∈ P then P\Pi is a finite set, so there exists k =k(j) such that (m, n),(s, t)∈Pj for all m, n, s, t > k(j). Therefore,

ρ(xmn, xsiti)< 1

j and ρ(xst, xsiti)< 1 j, for all m, n, s, t > k(j). Hence it follows that

ρ(xmn, xst)≤ρ(xmn, xsiti) +ρ(xst, xsiti)< 1 j +1

j = 2 j < ε,

for alln, m, s, t > k(j). Thus, for anyε >0 there existsk =k(ε) such that for m, n, s, t > k(ε) and (m, n),(s, t)∈P

ρ(xmn, xst)< ε.

This shows that the sequence (xmn) is anI2-Cauchy sequence.

4 I

2

And I

2

-Convergence For Double Sequences Of Functions.

Definition 4.1 Let I2 ⊂ 2N×N be a strongly admissible ideal, (X, dx) and (Y, dy) two linear metric spaces, fmn : X → Y a double sequence of functions

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and f :X →Y. A double sequence of functions {fmn} is said to be pointwise I2-convergent to f on X, if for every ε >0

{(m, n)∈N×N:dy(fmn(x)−f(x))≥ε} ∈ I2, for each x∈X. This can be written by the formula

(∀x∈X) (∀ε >0) (∃H ∈ I2) (∀(m, n)6∈H) dy(fmn(x)−f(x))< ε.

This convergence can be showed by

fmnI2 f (pointwise).

The functionf is called the double I2-limit function of the sequence {fmn}.

A double sequence of functions{fmn}is said to be pointwiseI2- convergent tof onX if there exists a setM ∈ F(I2) (i.e.,H =N×N\M ∈ I2) such that

m,n→∞lim fmn(x) = f(x), for (m, n)∈M and for each x∈X and we write

I2− lim

m,n→∞fmn=f or fmnI2 f.

Theorem 4.2 LetI2 ⊂2N×Nbe a strongly admissible ideal having the prop- erty (AP2),(X, dx)and(Y, dy)two linear metric spaces, fmn :X →Y a double sequence of functions andf :X→Y. If {fmn}double sequence of functions is I2-convergent then it is I2-convergent.

Proof. Let I2 satisfy the property (AP2) and I2 −limm,n→∞fmn(x) = f(x) for each x∈X. Then for anyε >0

A(ε) = {(m, n)∈N×N:dy(fmn(x), f(x))≥ε} ∈ I2, for each x∈X. Now put

A1 ={(m, n)∈N×N:dy(fmn(x), f(x))≥1}

and

Ak=

(m, n)∈N×N: 1

k ≤dy(fmn(x), f(x))< 1 k−1

,

for k ≥ 2. It is clear that Ai ∩Aj = ∅ for i 6=j and Ai ∈ I2 for each i ∈ N. By virtue of (AP2) there exists a sequence {Bk}k∈N of sets such that Aj 4Bj

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is included in finite union of rows and columns in N×N for each j ∈ N and B =S

j=1Bj ∈ I2. We shall prove that

m,n→∞lim

(m,n)∈M

fmn(x) =f(x),

for M = N×N\B ∈ F(I2). Let δ > 0 be given. Choose k ∈ N such that

1

k < δ. Then, we have

{(m, n)∈N×N:dy(fmn(x), f(x))≥δ} ⊂

k

[

j=1

Aj.

SinceAj4Bj,j = 1,2, ..., k, are included in finite union of rows and columns, there exists n0 ∈N such that

[k

j=1

Bj

∩ {(m, n) :m ≥n0∧n ≥n0}

= [k

j=1

Aj

∩ {(m, n) :m ≥n0∧n ≥n0}.

Ifm, n≥n0 and (m, n)6∈B then

(m, n)6∈

k

[

j=1

Bj and so (m, n)6∈

k

[

j=1

Aj.

Thus we havedy(fmn(x), f(x))< 1k < δ, for each x∈X. This implies that

m,n→∞lim

(m,n)∈M

fmn(x) =f(x),

for each x∈X.

For the converse we have the following theorem.

Theorem 4.3 Let I2 ⊂ 2N×N be a strongly admissible ideal, (X, dx) and (Y, dy) two linear metric spaces, fmn : X → Y a double sequence of functions and f :X →Y. If Y has at least one accumulation point and

I2− lim

m,n→∞fmn(x) = f(x) implies I2− lim

m,n→∞fmn(x) = f(x), for each x∈X, then I2 has the property (AP2) on N×N.

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Proof. Suppose thatf(x) is an accumulation point of Y for x∈X.There exists a sequence (hk)k∈N of distinct functions on X such that hk 6= f for any k ∈ N, f(x) = limk→∞hk(x) and the sequence {dy(hk(x), f(x))}k∈N is a decreasing sequence converging to zero for eachx∈X. We define

gk(x) = dy(hk(x), f(x)),

for k ∈ N and for each x ∈X. Let {Aj}j∈N be a disjoint family of nonempty sets fromI2. Define a sequence {fmn} in the following way:

(i)fmn(x) = hj(x) if (m, n)∈Aj and (ii) fmn(x) = f(x) if (m, n)6∈Aj, for any j and for eachx∈X.

Let δ > 0 be given. Choose k ∈ N such that gk(x) < δ, for each x ∈ X.

Then we have

A(δ) ={(m, n)∈N×N:dy(fmn(x), f(x))≥δ} ⊂A1∪A2∪ · · · ∪Ak and soA(δ)∈ I2. This implies

I2− lim

m,n→∞fmn(x) =f(x), for each x∈X. By virtue of our assumption, we have

I2 − lim

m,n→∞fmn(x) = f(x),

for each x ∈ X. Hence there exists a set M = N×N\B ∈ F(I2), (B ∈ I2) such that

m,n→∞lim

(m,n)∈M

fmn(x) =f(x), (2)

for each x∈X. Let Bj =Aj∩B for each j ∈N. So we haveBj ∈ I2 and

[

j=1

Bj =B ∩

[

j=1

Aj ⊂B and so

[

j=1

Bj ∈ I2,

for each j ∈ N. If Aj ∩M is not included in the finite union of rows and columns in N×N for fix j ∈N, then M must contain an infinite sequence of elements{(mk, nk)} where both mk, nk → ∞ and

fmknk(x) =hj(x)6=f(x),

for allk ∈N and for each x∈X, which contradicts (2). Hence Aj ∩M must be contained in the finite union of rows and columns inN×N. Thus

Aj 4Bj =Aj\Bj =Aj\B =Aj ∩M

is also included in the finite union of rows and columns. This proves that the idealI2 has the property (AP2).

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Anal. Appl., 309(1)(2005), 70-90.

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