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On lambda^2-asymptotically double statistical equivalent sequences

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ISSN: 2008-6822 (electronic) http://www.ijnaa.semnan.ac.ir

On

λ

2

Asymptotically Double Statistical

Equivalent Sequences

Ayhan Esia,∗, Mehmet Acikgozb

aAdiyaman University, Science and Art Faculty, Department of Mathematics, 02040, Adiyaman, Turkey. bGaziantep University, Science and Art Faculty, Department of Mathematics, 27200, Gaziantep,Turkey.

(Communicated by A. Ebadian)

Abstract

This paper presents the following new definition which is a natural combination of the definition for asymptotically double equivalent, double statistically limit and double λ2 sequences. The double sequence λ2 = (λ

m,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}.

For double λ2−sequence; the two non-negative sequences x = (xk,l) and y = (yk,l) are said to be

λ2asymptotically double statistical equivalent of multiple L provided that for everyε >0

P −lim

m,n

1

λm,n

(k, l)∈Im,n :

xk,l

yk,l

−L

≥ε

= 0

(denoted byxS L λ2

v y) and simply λ2asymptotically double statistical equivalent ifL= 1.

Keywords: Pringsheim Limit Point, P-convergent, Double Statistical Convergence.

2000 MSC: Primary 40A99 Secondary 40A05.

Corresponding author

Email addresses: [email protected](Ayhan Esi ), [email protected](Mehmet Acikgoz)

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1. Introduction and preliminaries

In 1993, Marouf [2] presented definitions for asymptotically equivalent sequences and asymptotic regular matrices. In 2003, Patterson [5] extends these concepts by presenting an asymptotically statistical equivalent analog of these definitions and natural regularity conditions for non-negative summability matrices. Later these definitions extended toλ−sequences by Sava¸s and Ba¸sarır in [8]. This paper extends the definitions presented in [8] to double λ2− sequences. In addition to these definitions, natural inclusion theorems shall also be presented.

2. Definitions and Notations

Now we give a brief history for asymptotical equivalence for single sequences and double sequences.

Definition 2.1. (Marouf, [2]) Two non-negative sequence x = (xk) and y = (yk) are said to be

asymptotically equivalent if

lim

k

xk

yk

= 1

(denoted by xvy ).

Definition 2.2. (Fridy, [1]) The sequence x = (xk) has statistic limit L provided that for every

ε >0,

lim

n

1

n |{k≤n : |xk−L| ≥ε}|= 0

The next definition is natural combination of definitions (2.1) and (2.2).

Definition 2.3. (Patterson, [5]) Two non-negative sequence x = (xk) and y = (yk) are said to

be asymptotically statistical equivalent of multiple L provided that for every ε >0,

lim

n

1

n

k ≤n:

xk

yk

−L

≥ε

= 0

(denoted by xSvLy ) and simply asymptotically statistical equivalent if L= 1.

Definition 2.4. (Mursaleen, [3]) LetΛ = (λn)be a non-decreasing sequence of positive real numbers

tending to infinitiy and λ1 = 1 and λn+1 ≤λn+ 1. A sequence x= (xk) is said to be λ−statistically

convergent or Sλ−convergent to L if for every ε >0

lim

n

1

λn

|{ k ∈In : |xk−L| ≥ε}|= 0

where In= [n−λn+ 1, n] for n = 1,2,· · · .

Definition 2.5. (Sava¸s and Ba¸sarır, [8]) Let Λ = (λn) be a non-decreasing sequence of positive

real numbers tending to infinitiy and λ1 = 1 and λn+1 ≤ λn+ 1. The two non-negative sequences

sequences x= (xk) and y= (yk) are Sλ-asymptotically equivalent of multiple L provided that

lim

n

1

λn

k ∈In:

xk

yk

−L

≥ε

= 0

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Definition 2.6. (Sava¸s and Ba¸sarır, [8]) Let Λ = (λn) be a non-decreasing sequence of positive

real numbers tending to infinitiy and λ1 = 1 and λn+1 ≤ λn+ 1. The two non-negative sequences

sequences x= (xk) and y= (yk) are strong λ-asymptotically equivalent of multiple L provided that

lim

n

1

λn

X

k∈In

xk

yk

−L

= 0,

where In= [n−λn+ 1, n] for n = 1,2, ....

In 1900 Pringsheim presented the following definition for the convergence of double sequences.

Definition 2.7. (Pringsheim, [7]) A double sequence x = (xk,l) has Pringsheim limit L (denoted

by P −limx = L) provided that given ε > 0 there exists N ∈ N such that |xk,l−L| < ε whenever

k, l > N. We shall describe such an x= (xk,l) more briefly as ”P-convergent”.

We shall denote the space of all P-convergent sequences bycıı.By a bounded double sequence

we shall mean there exists a positive number K such that |xk,l| < K for all (k, l) and denote such

bounded bykxk(,2) = supk,l|xk,l|<∞.We shall also denote the set of all bounded double sequences

bylıı

∞. We also note in contrast to the case for single sequence, a P-convergent double sequence need

not be bounded.

Definition 2.8. (Patterson, [6]) The two non-negative double sequences x = (xk,l) and y = (yk,l)

are said to be asymptotically double equivalent of multiple L provided that for every ε >0,

P −lim

k,l,

xk,l

yk,l

=L

(denoted by xvP y ) and simply asymptotically double equivalent if L= 1.

Definition 2.9. (Mursaleen and Edely, [4]) A real double sequence x = (xk,l) is to be statistically

convergent to L, provided that for each ε >0

P −lim

m,n

1

mn|{(k, l) : k ≤m and l≤n,|xk,l−L| ≥ε}|= 0.

In this case we write SLlimx=L or x

k,l →L SL

.

Definition 2.10. The two non-negative double sequences x = (xk,l) and y = (yk,l) are said to be

asymptotically double statistical equivalent of multiple L provided that for every ε >0,

P −lim

m,n

1

mn

(k, l) : k≤m and l ≤n,

xk,l

yk,l

−L

≥ε

= 0.

(denoted by xSvL y ) and simply asymptotically double statistical equivalent if L= 1.

Definition 2.11. The double sequence λ2 = (λ

m,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

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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.

Now we give some new definitions which are natural combination of definitions (2.10) and (2.11).

Definition 2.12. For double λ2sequence; the two non-negative double sequences x = (x

k,l) and

y = (yk,l) are said to be λ2−asymptotically double statistical equivalent of multiple L provided that

for every ε >0,

P −lim

m,n

1

λm,n

(k, l)∈Im,n :

xk,l

yk,l

−L

≥ε

= 0

(denoted by xS L λ2

v y ) and simply asymptotically double statistical equivalent if L= 1. Furthermore,

let SL

λ2 denote the set of all sequences x= (xk,l) and y = (yk,l) such that x SL

λ2

v y.

For doubleλ2sequence; the two double sequencesx= (x

k,l) andy= (yk,l) are said to be strong

λ2asymptotically double equivalent of multiple L provided that

P −lim

m,n

1

λm,n

X

(k,l)∈Im,n

xk,l

yk,l

−L

= 0,

(denoted byxN L λ2

v y ) and simply strong λ2asymptotically double equivalent if L= 1. In addition,

letNλL2 denote the set of all sequences x= (xk,l) and y= (yk,l) such that x NL

λ2

v y.

3. Main Results

Theorem 3.1. For double λ2sequence; (i). (a) If xN

L λ2

v y then xS L λ2

v y.

(b) NL

λ2 is a proper subset of SλL2.

(ii). If x= (xk,l)∈ lıı∞ and x

SL λ2

v y then xN L λ2

v y .

(iii). SL

λ2 ∩lıı =NλL2 ∩lıı.

Proof . (i).

(a) If ε >0 and xN L λ2

v y then

X

(k,l)∈Im,n

xk,l

yk,l

−L

≥ X

(k,l)∈Im,ns&

xk,l yk,l−L

≥ε

xk,l

yk,l

−L

≥ε

(k, l)∈Im,n :

xk,l

yk,l

−L

≥ε

.

ThereforexS L λ2

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(b)To show the inclusion is strict, we define x= (xk,l) as follows:

xk,l =

         

1 2 3 ... p3

λm,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 ...

.. . ... ... . .. ... ... ... . ..           .

Then xS L λ2

v y but the following fails xN L λ2

v y.

(ii). Suppose that x= (xk,l) and y= (yk,l) are in lıı∞ and x

SL λ2

v y . Then we can assume that

xk,l yk,l −L

< H, for all k and l.

Given ε >0

1

λm,n

X

(k,l)∈Im,n xk,l yk,l −L = 1 λm,n X

(k,l)∈Im,n&

xk,l yk,l−L

≥ε xk,l yk,l −L + 1 λm,n X

(k,l)∈Im,n&

xk,l yk,l−L

<ε xk,l yk,l −L ≤ H λm,n

(k, l)∈Im,n :

xk,l yk,l −L ≥ε +ε.

ThereforexN L λ2

v y.

(iii).It follows from (i) and (ii).

In the next theorem we prove the following relation.

Theorem 3.2. For double λ2sequence; xSvLy implies xS

L λ2

v y if

lim inf

m,n

1

λm,n

>0.

Proof . For given ε >0

(k, l) : k≤m and l≤n, xk,l yk,l −L ≥ε ⊃

(k, l)∈Im,n :

xk,l yk,l −L ≥ε . Therefore 1 mn

(k, l) : k ≤m and l ≤n, xk,l yk,l −L ≥ε ≥ 1 mn

(k, l)∈Im,n :

xk,l yk,l −L ≥ε

≥ λm,n mn . 1 λm,n

(k, l)∈Im,n :

xk,l yk,l −L ≥ε .

Taking the limits as n, m → ∞ in Pringsheim sense and using lim infm,n λm,n1 > 0, we get desired

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References

[1] J. A. Fridy, On statistical convergence, Analysis, 5 (1985), 301-313.

[2] M. Marouf, Asymptotic equivalence and summability, Internat. J. Math. Math. Sci. 16 (4) (1993), 755-762. [3] M. Mursaleen, λ−statistical convergence, Math. Slovaca 50 (1) (2000), 111-115.

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

[5] R. F. Patterson, On asymptotically statististically equivalent sequences, Demonstratio Math. 36 (1) (2003), 149-153.

[6] R. F. Patterson, Some characterization of asymptotic equivalent double sequences, (in press).

References

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