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Strongly $[V_{2}, lambda_{2}, M, p]-$ summable double sequence spaces defined by orlicz function

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ISSN: 2008-6822 (electronic) http://www.ijnaa.com

STRONGLY [V2, λ2, M, P]−SUMMABLE DOUBLE SEQUENCE SPACES DEFINED BY ORLICZ FUNCTION

AYHAN ESI

Abstract. In this paper we introduce strongly [V2, λ2, M, p]−summable double

vsequence spaces via Orlicz function and examine some properties of the result-ing these spaces. Also we give natural relationship between these spaces and

Sλ2−statistical convergence.

1. Introduction

Before we enter the motivation for this paper and the presentation of the main results we give some preliminaries.

By the convergence of a double sequence we mean the convergence on the Pring-sheim sense that is, a double sequencex= (xk,l) has Pringsheim limitL(denoted by

P−limx=L) provided that givenε >0 there existsn∈Nsuch that |xk,l−L|< ε

whenever k, l > n, [1]. We shall write more briefly as ”P−convergent”.

The double sequence x = (xk,l) is bounded if there exists a positive number M

such that |xk,l| < M for all k and l. Let lıı∞ the space of all bounded double such that

kxk,lk(∞,2) = sup k,l

|xk,l|<∞.

Recall in [8] that an Orlicz function M is continuous, convex, nondecreasing function define for x > 0 such that M(0) = 0 and M(x) > 0. If convexity of Orlicz function is replaced by M(x +y) ≤ M(x) + M(y) then this function is called the modulus function and characterized by Ruckle [10]. An Orlicz function

M is said to satisfy ∆2−condition for all values u, if there exists K > 0 such that

M(2u)≤KM(u), u≥0.

Letλ= (λr) be a nondecreasing sequence of positive numbers tending to infinity

and λr+1 ≤λr+ 1, λ1 = 1. The generalized de la Vallee-Poussin mean is defined by

tr(x) =

1

λr

X

k∈Ir

xk, Ir = [r−λr+ 1, r] .

A single sequence x = (xk) is said to be (V, λ)−summable to a number L if

tr(x) → L as r → ∞, [4]. If λr = r, then the (V, λ)−summability is reduced

to (C,1)−summability, [5,9].

Date:Received: September 2010; Revised: June 2011.

2000Mathematics Subject Classification. Primary 40A99; Secondary 40A05.

Key words and phrases. P-convergent, double statistical convergence, Orlicz function.

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Using these notations we now present the following new definitions:

2. Definitions and Results

Definition 2.1. The double sequenceλ2 = (λm,n) of positive real numbers tending

to infinity such that

λm+1,n ≤λm,n+ 1, λm,n+1 ≤λm,n+ 1,

λm,n−λm+1,n ≤λm,n+1−λm+1,n+1, λ1,1 = 1,

and

Im,n ={(k, l) : m−λm,n + 1≤k ≤m, n−λm,n+ 1 ≤l≤n}.

The generalized double de Vallee-Poussin mean is defined by

tm,n =tm,n(xk,l) =

1

λm,n

X

(k,l)∈Im,n

xk,l.

A double number sequencex= (xk,l) is said to be (V2, λ2)−summable to a number

L if P −limm,ntm,n =L. If λm,n =mn, then the (V2, λ2)−summability is reduced

to (C,1,1)−summability, [2]. We write

[V2, λ2] =

 

x= (xk,l) :P −lim m,n

1

λm,n

X

(k,l)∈Im,n

|xk,l−L|= 0, for some L

 

for sets of double sequences x = (xk,l). We say that x = (xk,l) is strongly

[V2, λ2]−summable to L, that isx= (xk,l)→L([V2, λ2]).

Definition 2.2. A double number sequence x= (xk,l) isSλ2−P−convergent to L

if provided that for everyε >0

P −lim

m,n

1

λm,n

|{(k, l)∈Im,n : |xk,l−L| ≥ε}|= 0.

We will denote the set of all doubleSλ2 −P −convergent sequences by Sλ2.

LetM be an Orlicz function and p= (pk,l) be any factorable double sequence of

strictly positive real numbers, we define the following sequence spaces:

[V2, λ2, M, p]o =

 

x= (xk,l) :P −lim m,n

1

λm,n

X

(k,l)∈Im,n

M

|

xk,l|

ρ

pk,l

= 0,

for some ρ >0 o

,

[V2, λ2, M, p] =

 

x= (xk,l) :P −lim m,n

1

λm,n

X

(k,l)∈Im,n

M

|xk,l−L|

ρ

pk,l

= 0,

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and

[V2, λ2, M, p]∞=  

x= (xk,l) : sup m,n

1

λm,n

X

(k,l)∈Im,n

M

|xk,l|

ρ

pk,l

<∞,

for someρ >0o.

We shall denote [V2, λ2, M, p]o, [V2, λ2, M, p] and [V2, λ2, M, p]∞ as [V2, λ2, M]o,

[V2, λ2, M] and [V2, λ2, M]∞, respectively when pk,l = 1 for all k and l. Also note

that if M(x) = x and pk,l = 1 for all k and l, then [V2, λ2, M, p]o = [V2, λ2]o,

[V2, λ2, M, p] = [V2, λ2] and [V2, λ2, M, p]∞ = [V2, λ2]∞ and M(x) = x then [V2, λ2, M, p]o= [V2, λ2, p]o, [V2, λ2, M, p] = [V2, λ2, p] and [V2, λ2, M, p]∞ = [V2, λ2, p]∞.

The proof of the first theorem is standard thus we omitted.

Theorem 2.3. For any Orlicz functionM a bounded factorable positive double num-ber sequencep= (pk,l), the spaces[V2, λ2, M, p]o, [V2, λ2, M, p]and[V2, λ2, M, p]∞are linear spaces.

Before the proof of below theorem we need the following lemma.

Lemma 2.4. Let M be an Orlicz function which satisfies ∆2 −condition and let

0 < δ < 1. Then for each x ≥ δ, we have M(x) < Kδ−1M(2) for some constant

K >0.

Theorem 2.5. For any Orlicz function M which satisfies ∆2−condition we have

[V2, λ2, p]⊂[V2, λ2, M, p].

Proof. Let x= (xk,l)∈[V2, λ2, p], then

Am,n =P −lim

m,n

1

λm,n

X

(k,l)∈Im,n

|xk,l−L| pk,l

for some L. (2.1)

Let ε > 0 and choose δ with 0 < δ < 1 such that M(t) < ε for 0 ≤ t ≤ δ. Write

yk,l =|xk,l−L| and consider

X

(k,l)∈Im,n

[M(yk,l)]

pk,l = X

(k,l)∈Im,n:yk,l≤δ

[M(yk,l)]

pk,l + X

(k,l)∈Im,n:yk,l>δ

[M(yk,l)] pk,l.

Since M is continuous

X

(k,l)∈Im,n:yk,l≤δ

[M(yk,l)]

pk,l < ε

and for yk,l > δ, we use the fact that

yk,l <

yk,l

δ <1 + yk,l

δ .

Since M is nondecreasing and convex, it follows that

M(yk,l)< M

1 + yk,l

δ

< 1

2M(2) + 1 2M

2yk,l

δ

.

Since M satisfies ∆2−condition, therefore

M(yk,l)<

1 2K

yk,l

δ M(2) +

1 2K

yk,l

δ M(2) =K yk,l

(4)

Hence

X

(k,l)∈Im,n:yk,l>δ

[M(yk,l)]pk,l <max 1, Kδ−1M(2)

H

Am,n

whereH = supk,lpk,l. This and from (2.1), we obtain [V2, λ2, p]⊂[V2, λ2, M, p].

3. λ2−Statistical Convergence

The notion of statistical convergence for single sequences was introduced by Fast [3] and studied by various authors. Mursaleen [6] introduced the concept of

λ−statistical convergence as follows: A sequencex= (xk) is said to beλ−statistically

convergent orSλ−convergent to Lif for every ε >0,

lim

r

1

λr

|{k ∈Ir : |xk−L| ≥ε}|= 0, Ir = [r−λr+ 1, r],

where the vertical bars indicate the number of elements in the enclosed set. Now we extend this definition for double sequences.

Definition 3.1. The double number sequence x = (xk,l) is called Sλ2 − P −

convergent to the numberL provided that for every ε >0

P −lim

m,n

1

λm,n

|{(k, l)∈Im,n : |xk,l−L| ≥ε}|= 0.

In this case we writeSλ2−limx=Land we say that the double sequencex= (xk,l)

is λ2 −statistically convergent to L. If λm,n =mn for all m and n, we obtain all

P−statistical convergent double sequence spacest2 which was defined by Mursaleen

and Edely [7].

Theorem 3.2. Let M be an Orlicz function. For doubleλ2 sequence [V2, λ2, M]⊂

Sλ2 and the inclusion is strict.

Proof. Suppose thatx= (xk,l)∈[V2, λ2, M] andε >0. Then we obtain the following

for every m and n,

1

λm,n

X

(k,l)∈Im,n

M

|

xk,l−L|

ρ

1

λm,n

X

(k,l)∈Im,n:|xk,l−L|≥ε

M

|

xk,l−L|

ρ

Mρε

λm,n

(5)

Hencex= (xk,l)∈Sλ2. To show this inclusion is strict, we can establish an example

as follows: LetM(x) =x and

xk,l =

               

1 2 3 ... p3 λ m,n

0 0 ...

2 2 3 ... p3 λ m,n

0 0 ... . . . . . . . . . . . . . . . . . . . . . . . .

2 p3 λ m,n

p3

λm,n

... p3 λ m,n

0 0 ...

0 0 0 ... 0 0 0 ... . . . . . . . . . . . . . . . . . . . . . . . .                 and

P −lim

m,n

1

λm,n

|{(k, l)∈Im,n : |xk,l−L| ≥ε}|=P −lim m,n p3 λm,n λm,n = 0.

ThereforeSλ2−limx= 0 andx= (xk,l)∈Sλ2. But

P −lim

m,n

1

λm,n

X

(k,l)∈Im,n

|xk,l|=P −lim m,n p3 λm,n p3 λm,n p3 λm,n + 1 2λm,n

= 1 2.

Thereforex= (xk,l)∈/ [V2, λ2, M]. This completes the proof.

Theorem 3.3. [V2, λ2, M] =Sλ2 if and only if the Orlicz function M is bounded.

Proof. Suppose that M is bounded andx = (xk,l) ∈Sλ2. Since M is bounded then

there exists an integer K such that M(x)≤K for all x ≥0. Then for each m and

n, we have 1

λm,n

X

(k,l)∈Im,n

M

|xk,l−L|

ρ

= 1

λm,n

X

(k,l)∈Im,n:|xk,l−L|≥ε

M

|xk,l−L|

ρ

+ 1

λm,n

X

(k,l)∈Im,n:|xk,l−L|<ε

M

|

xk,l−L|

ρ

≤ K

λm,n

|{(k, l)∈Im,n : |xk,l−L| ≥ε}|+M(ε)

and thus the Pringsheim limit onm and n grant us the result.

Conversely, suppose that M is unbounded so that there is a positive double sequence (zmn) with M(zmn) = (λm,n)

2

for m, n = 1,2, . . .. Now the sequence

x = (xk,l) defined by xk,l = zmn if k, l = (λm,n)2 for m, n = 1,2, . . . and xk,l = 0,

otherwise. Then we have 1

λm,n

|{(k, l)∈Im,n : |xk,l−L| ≥ε}| ≤

p

λm,n

λm,n

→0, as m, n→ ∞.

Hence xk,l → L = 0 (Sλ2). But x = (xk,l) ∈/ [V2, λ2, M], contradicting [V2, λ2, M] =

Sλ2. This completes the proof.

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Theorem 3.4. x= (xk,l)∈st2 implies x= (xk,l)∈Sλ2 if

lim inf

m,n

1

λm,n

>0. (3.1)

Proof. For given ε >0, we have

{(k, l)∈Im,n :k ≤m and l ≤n, |xk,l−L| ≥ε} ⊃ {(k, l)∈Im,n : |xk,l−L| ≥ε}.

Therefore 1

mn|{(k, l)∈Im,n :k≤m and l≤n, |xk,l −L| ≥ε}|

≥ 1

mn|{(k, l)∈Im,n : |xk,l −L| ≥ε}|= λm,n

mn.

1

λm,n

|{(k, l)∈Im,n : |xk,l −L| ≥ε}|.

Taking the Pringsheim limit onm andnand using (3.1), we get desired result. This

completes the proof.

References

1. A. Pringsheim, Zur Theori der zweifach unendlichen Zahlenfolgen, Math. Ann.53(1900), 289– 321.

2. G. M. Robinson, Divergent double sequences and series, Trans. Am. Math. Soc. 28(1926), 50–73.

3. H. Fast, Sur la convergence statistique, Colloq. Math.,2(1951), 241–244.

4. L. Leindler, ¨Uber die la Vallee-Pousinche summierbarkeit allgemeiner orthogonalreihen, Acta Math. Hung.,16(1965), 375–378.

5. L. L. Silverman, On the definition of the sum of a divergent series, Ph.D. Thesis, University of Missouri Studies, Mathematics Series, 1913.

6. Mursaleen,λ−statistical convergence, Math. Slovaca,50(2000), 111–115.

7. M. Mursaleen and O. H. Edely, Statistical convergence of double sequences, J. Math. Anal. Appl.288(1)(2003), 223–231.

8. M. A. Krasnosel”ski and Y. B. Rutickii, Convex function and Orlicz spaces, Groningen, Ned-erland, 1961.

9. O. Toeplitz, ¨Uber allgenmeine linear Mittelbrildungen, Prace Mat.-Fiz. (Warzaw) 22(1913), 113–119 (Polish).

10. W. H. Ruckle, FK-spaces in which the sequence of coordinate vectors is bounded, Canad. J. Math.,25(1973), 973–978.

Adiyaman University, Science and Art Faculty, Department of Mathematics, 02040, Adiyaman, Turkey.

References

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