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Selçuk J. Appl. Math. Selçuk Journal of Vol. 9. No. 2, pp. 9 –18 , 2008 Applied Mathematics

Some I-related properties of triple sequences

Ahmet Sahiner1, Binod Chandra Tripathy2

1Department of Mathematics, Suleyman Demirel University, Cunur Campus, 32260,

Isparta, Turkey

e-mail: sahiner@fef.sdu.edu.tr

2

Mathematical Sciences Division, Institute of Advanced Study in Science and Technology, Paschim Boragaon,Garcuk; Guwahati-781 035, India e-mail: tripathybc@yahoo.com

Abstract. Ideal convergence was presented by Kostyrko et al. in 2001. This concept was extended to the double sequences by Tripathy et al. in 2006. In this paper we introduce the notions of Iconvergence, Ibounded,

I inferior and Isuperior for triple sequences. We also investigate some further properties of Ilimit superior and Ilimit inferior of triple sequences.

Key words: Double sequence; triple sequence; statistical convergence; I-convergence; double natural density; triple natural density

2000 Mathematics Subject Classification. 40A05, 26A03.

1. Preliminaries

In this article we aimed to extend the notion of statistically convergent triple sequences to I convergent triple sequences. Now we recall  some definitions and notions introduced in [14].

Definition 1. A function x : NNNR

 

C is called a real (complex) triple sequence.

Definition 2. A triple sequence

 

xnkl is said to be convergent to L

in Pringsheim's sense if for every  0, there exists n0

 

 N such that xnklL  whenever n,k,ln0 .

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Definition 3. A triple sequence

 

xnkl is said to be Cauchy sequence if for every  0, there exists n0

 

 N such that

  nkl

pqr x

x whenever pnn0,qkn0,rln0.

Definition 4. A triple sequence

 

xnkl is said to be bounded if there exists M 0 such that xnklM for all n ,,k lN .

We denote the set of all bounded triple sequences by 3.   It can easily be shown that 3   is a normed space by ,3sup, , nkl . l k n x x

The notion of statistically convergent double sequences was introduced by Tripathy [12]. Recall that a subset E of NN is said to have density 

 

E if

 

E E

 

n k q k p n pq q plim , 1 ,  

     exists, where E

 

n,k is the characteristic function of the set E. Thus a double sequence

 

xnk is said to be statistically convergent to L in Pringsheim's sense if

for every  0,

 

,   :  

0

n k N N xnk L

[13]. The notion of statistically convergent double sequences was extended to I convergent double sequences by Tripathy in [13].  The notion of statistically convergent triple sequences was introduced by Sahiner [14]. Recall that a subset A of NNN is said to have density 

 

A if

 

n k l

pqr A A r l q k p n r q p , , 1 lim , ,  

    

exists. For example if A

n3,k3,l3

: n,k,lN

then

 

lim

, ,

lim 0 3 3 3 , , , ,    pqr r q p pqr r q p K A r q p r q p  where

p q r

 

n k l

p n q k r l

K , ,  , , NNN :  ,  , 

and K

p,q,r

is the cardinality of K

p,q,r

. Thus a triple sequence

 

xnkl is said to be statistically convergent to L in Pringsheim's sense if

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for every  0 ,

, ,    :  

0.

n k l N N N xnkl L

Let X be a non-empty set, then a non-void class I2X (power set of X ) is called an ideal if I is additive

i.e.A,BIABI

and hereditary

i.e.AIandBABI

. An ideal I2X is said to be non-trival if I2X.

A non-trival ideal I is said to be admissible if I contains every finite subset of N. A non-trival ideal I is said to be maximal if there does not exist any non trival ideal JI containing I as a subset.

In this article we aimed to introduce and examine I related  interesting properties of triple sequences.

We denote the ideals of 2 by I ; the ideals of N 2NN by I and the 2

ideals of 2NNN by I . 3

2. Ideal convergence of triple sequences

Definition 5. Let I be an ideal of 3 2NNN, then a triple sequence

 

xnkl is said to be I convergent to L in Pringsheim's sense if for

every  0,

n,k,l NNN : xnklL 

I3.

If

 

xnkl is I convergent to L we write I - 3 limxnklL .

Now we give some examples of ideals and corresponding

I convergences.

(I) Let I3

 

f be the family of all finite subsets of NNN . Then

 

f

3

I is an admissible ideal in NNN and I3

 

f convergence coincides with the convergence of triple sequences in Pringsheim's sense.

(II) Let ANNN be a three dimensional set of positive integers and let A

p,q,r

be the cardinality of

n ,,k l

in A such that

p

n , kq , lr. In case of the sequence

Appqrqr

r q p , , , ,

lim has a limit in Pringsheim's sense then we say that A has a triple natural density

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and we denote this by lim

 , , 

 

. , , pqr A r q p A r q p  Put

 

:

 

0

. 3   ANNN  AI Then I3

 

 is an admissible ideal in NNN and I3

 

 convergence coincides with the statistical convergence in Pringsheim's sense [14].

Example 1. Let II3

 

 . Define the triple sequence

 

xnkl by     otherwise. , 5 squares are and , if , 1 n k l xnkl Then for every  0

, , : 5

lim 0. , ,        pqr r q p x l k n r q p nkl   N N N

This implies that I limxnkl5 in Pringsheim's sense. But, the sequence

 

xnkl is not convergent to 5 in Pringsheim's sense.

Remark 1. If I is admissible and 3

 

xnkl converges to L in

Pringsheim's sense, then

 

xnkl is I convergent to L in Pringsheim's

sense.

3. I- limit superior and I- limit inferior for triple sequences

Definition 6. Let I be an ideal of 3 N N N 

2 . A number is said to be an I3limit point of the triple sequence

 

xnkl provided that there

exists a set M

n1n2...

 

k1k2...

 

l1l2...

NNN such that MI3 and  

m j ikl

n

x

P lim for all i,j,m1,2,... .

Definition 7. A number is called to be an I cluster point of the triple sequence

 

xnkl if for each  0 ,

n,k,l NNN: xnkl 

I3.

Definition 8. A real triple sequence

 

xnkl is said to be bounded if there is a K 0 such that

n,k,l

NNN: xnklK

I3.

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Now let

 

xnkl be a triple sequence and tR . Then we set the following sets to be able to give the definitions of Iliminf x and

x sup lim  I of

 

xnkl .

n,k,l : x t

, M

n,k,l

: x t

. Mtnkltnkl

Definition 9. (a) If there is a tR such that MtI3, we put

:

.

sup sup

lim I3

IxtR Mt

If MtI3 holds for each tR then we put Ilimsupx.

(b )If there is a tR such that tI3,

M we put

:

. inf inf lim I3 I   tM t x R If tI3

M holds for each tR then we put Iliminfx.

Example 2. If we define

 

xnkl by                nonsquare even an is , 0 nonsquare odd an is , 1 square even an is , 2 square odd an is , n n n n n xnkl or                nonsquare even an is , 0 nonsquare odd an is , 1 square even an is , 2 square odd an is , k k k k k xnkl or                nonsquare even an is , 0 nonsquare odd an is , 1 square even an is , 2 square odd an is , l l l l l xnkl

then, in each case,

 

xnkl is not bounded above but it is I bounded.

Also,

tR : MtI3

 

 ,1

,

tR : MtI3

 

0, and thus Ilimsupx1 , Iliminfx0 . On the other hand

 

xnkl can not be I convergent in Pringsheim's sense and the set of I

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cluster points in Pringsheim's sense is

 

0,1. So we have the following.

Theorem 1. (i)  Ilimsupx if and only if for each  0 ,

n,k,l NNN: xnkl  

I3

and

n,k,l NNN: xnkl 

I3

(ii)  Iliminfx if and only if for each  0 ,

n,k,l NNN: xnkl

I3

and

n,k,l NNN: xnkl 

I3.

Proof. (i) We prove necessity first. Let  0 be given. Since ,    



 

t : MtI3

and

n,k,l NNN: xnkl  

I3. Similarly, since  , there exists some t such that  t and t

t : MtI3

. Thus

n,k,l

NNN: xnklt

I3 and

n,k,l NNN: xnkl 

I3.

Now we prove sufficiency. If  0 then



 

t : MtI3

and

. sup

lim

3 xnkl

I On the other hand we already have 

   limsupxnkl

3

I and this means I3limsupxnkl as

desired.

(ii) can be proved analogously.

Theorem 2. For every real triple sequence

 

xnkl ,

nkl nkl x x limsup inf lim 3 3 II .

Proof. If

 

xnkl is any real triple sequence we have three possibilities: (1) The case I3limsupxnkl  is clear.

(2) If I3limsupxnkl. Then we have . and 3 3 I I     t t M M t R

Thus, I3liminf inf

: tI3

infR

nkl t M x and nkl nkl x x limsup inf lim 3 3 II .

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(3) If I3limsupxnkl and if  I3limsupxnkl then for any tR, . and 3 3 I I     t t M M t

But this means I3liminf inf

: I3

.

t

nkl t M

x

Theorem 3. For any I bounded real triple sequence

xnkl

we

have the following inequalities.

. sup lim sup lim inf lim inf lim xnkl 3 xnkl 3 xnkl P xnkl P I  I   

Proof. The case Plimsupxnkl  is straightforward. Let 

 

x L

P limsup nkl . Then for any t L, MtI3. So

: I3

t Mt

t implies I3limsupxnklsup

t : MtI3

t and .

sup lim

3 xnklL

I This proves the last inequality. For the first one, if Pliminfxnkl  then clearly the inequality holds. Let

  

x T

P liminf nkl . Then for any tT, I3.  t M So

: I3

  t M t

t implies I3liminf xnklsup

t : MtI3

t and .

sup lim

3 xnklT

I

Remark 2. If I3 limxnkl exists then

 

xnkl is I bounded.

Remark 3. Note that ideal boundedness of triple sequences implies that I3limsup and I3liminf are finite.

Recall that the core of a bounded double sequence xnk, that is,

 

xnk ,

core

P is the interval

Pliminfxnk,Plimsupxnk

Pcore

 

xnk ; I core of bounded  double sequence x is the interval nk

I2liminf xnk,I2limsupxnk

. Analogously we give the definitions of Pcore and Icore of a bounded triple sequence xnkl.

Definition 10. We define the Pcore of bounded real triple sequence

nkl

x by

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Definition 11. If

 

xnkl is any I bounded real triple sequence then 3 we define its Icore by

I3liminf xnkl,I3limsupxnkl

. We use I3core

 

xnkl to denote I core of 3 xnkl .

Corollary 1. If

 

xnkl is any real triple sequence then we have

 

 

.

3core xnklPcore xnkl

I

Theorem 4. A real triple sequence

 

xnkl is I3 convergent if and only if I3liminf xnklI3limsupxnkl .

Proof. Let LI3limxnkl. Then

n,k,l NNN: xnklL

I3 and

n,k,l NNN: xnklL

I3. Then for any tL and ,

 

L

t the sets M and t Mt are in I Hence 3.

t : Mt3

L

sup I and inf

t : MtI3

L . To prove sufficiency let  0 and LI3liminf xnklI3limsupxnkl. Then since

                   L x l k n L x l k n L x l k n nkl nkl nkl : , , : , , : , , N N N N N N N N N

we conclude that LI3limxnkl .

Note that if

 

xnkl is a bounded real triple sequence then we denote the set of all I3 cluster points of

 

xnkl by I3

 

x .

Theorem 5. Suppose

 

xnkl is a bounded real triple sequence then

 

x nkl

x  

 3

3 limsup maxI

I and

 

. min inf lim 3 3 xnklIx I Proof. Let

3

3 limsup sup : , , : I

IxnklLt n k l NNN xnklt  . If L

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n,k,l N: xnklL

I3 and this means there exists some

0   such that

n,k,l NNN: xnklL

I3, that is, L

 

x .

Now, we show L is really an I3 cluster point of

 

xnkl . Clearly, for each  0 there exists some t

L,L

such that

n,k,l NNN: xnklt

I3 and this implies

n,k,l NNN: xnklL 

I3.

4. Further properties

In this section we prove some further results on Ilimsup and inf

lim 

I of a triple sequence.

Theorem 6. Let I be an ideal of 3 2 . N N N 

If x

 

xnkl ,y

 

ynkl are

two I bounded triple sequences in Pringsheim's sense, then (i) Ilimsup

xy

IlimsupxIlimsupy

(ii) Iliminf

xy

Iliminf xIliminf y.

Proof. Since the proof of

 

ii is analogous we prove only

 

i Let . ,

sup lim

1Ix

 2 Ilimsupy and  0 be given. We know that both  and 1  are finite. Let 2

 : , , :   I3

.

c n k l x y c

A R nkl nkl

We can also assume that A is not empty. Now since

                    2 1 2 1 : , , 2 : , , 2 : , ,     nkl nkl nkl nkl y x l k n y l k n x l k n we have

. 2 : , , 2 : , , : , , 2 1 2 1                          nkl nkl nkl nkl y l k n x l k n y x l k n

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n,k,l : xnklynkl 12

I3.

If cA, then

n,k,l

: xnklynklc

I3. We claim that .

2

1 

 

c For, otherwise we would have

n,k,l : xnklynklc

 

n,k,l

: xnklynkl12

which means

n,k,l

: xnklynklc

I3, a contradiction. Hence    12 c and we deduce

sup . sup lim 1 2 3 xnklynklA   I

Since  0 is arbitrary, this completes the proof.

We need the following definition for the subsequent theorem.

Definition 12. Let I be an ideal of 3 2 . N N N 

A sequence x

 

xnkl

is said to be I convergent to   in Pringsheim's sense

or 

if for every real number G0,

n,k,l

: xnklG

I3

or n,k,l : xnkl GI3

.

Theorem 7. If I is an admissible ideal and 3 Ilimsupx, then

there exists a subsequence of

 

xnkl that is I convergent to   in

Pringsheim's sense.

Proof. Since I3 and I is admissible, we can assume that 3

 

xnkl is a non-constant triple sequence having infinite number of

distinct elements.

Case (i) : If . Then from definition,

tR : MtI

. Hence, if K 0, then

n,k,l

: xnkl2K

I3. Since

n,k,l : xnklK

 

n,k,l

: xnkl 2K

, we have

n,k,l

: xnklK

I3 and so Ilimx.

Case (ii) : If  then

tR : MtI

R. So for any tR,

n,k,l : xnklt

I3. Let xn1k1l1 be an arbitrary term of

 

xnkl and

let

, ,

: 1

. 1 1 1 1 1 1klnklnkln n k l x x A Since I3 , 1 1 1kl n A is not empty and also 3.

1 1 1klI

n

A We claim that there is at least one

n,k,l

An1k1l1 such that nn11,kk11, ll11. For, otherwise

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  

1,1,1, 2,2,2,..., 1, 1, 1, 1 1, 1 1, 1 1

, 1 1 1  n n n nnnAnkl which is a

member of I (since 3 I is admissible) and so 3 3,

1 1 1klI

n

A a

contradiction. We call this

n ,,k l

as

n2,k2,l2

. Thus . 1 1 1 1 2 2 2klnkln x

x Proceeding in this way we obtain a subsequence

 

xnikili of

 

xnkl with xnikilixni1ki1li1 1 for all .i Since for any

, 0  K

n k l

x K

i i ikl n i i

i, , :  is a finite set, it must belong to I 3,

because I is admissible and so 3 3lim .

kl

n

x

I

Case (iii) : If . By Theorem 1(i),

n,k,l : xnkl 1

I3 so that

n,k,l

: xnkl1

. We

observe that there is at least one element, say n1k1l1, in this set for

which 21, 1 1 1kl  n x for otherwise

 

2

3 1 : , , 1 : , ,k l xnkl   n k l xnkl I n which is a

contradiction. Hence we have

. 1 2 1 1 1 1 1          xnkl

Next we proceed to choose an element

2 2 2kl n x from

 

xnkl , n2 n1 , 1 2 k

k  and l2 l1 such that

2 1 2 2 2kl  n x , for otherwise

2

 

 

1 1 1

1 , , ,..., 2 , 2 , 2 , 1 , 1 , 1 : , ,k l x n n n n nkl   is a member of 3

I which contradicts

 

i of Theorem 1. Hence

( ) . 2 1 and , , : , , 1 1 1 1 1 1         say E x l l k k n n l k n nklnkl Now if

1 1 1 , ,k l Enkl n  always implies 21 nkl x then

. 4 1 : , , 2 1 : , , 1 1 1              nklnkll k n n k l x n k l x E

By

 

i of Theorem 1, the right-hand set belongs to I and so 3 . 3 1 1 1klI n E Since I is admissible, 3

  

1,1,1, 2,2,2

 

,..., n1,n1,n1

I3 and thus

1,1,1

 

, 2,2,2

 

,..., , ,

. 2 1 : , , 1 1 1 1 1 1 nkl nkl n n n E x l k n         So

2

3 1 : , ,k l xnkl  I n , a contradiction to Theorem 1.

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and l2l1 such that 21. 2 1 2 2 2     

xn kl Proceeding in this way we

obtain a subsequence

 

i i ikl n x of

 

xnkl , nini1,kiki1 and 1   i i l l such that i xnikili i 1 1    

 for each .i The subsequence

 

xnikili therefore converges to  in Pringsheim's sense and is thus

I convergent to  in Pringsheim's sense by Remark 1. This proves the theorem.

The reasonings made up to now give the folowing results.

Theorem 8. If Iliminfx, then there is a subsequence of

 

xnkl

which is I convergent to   in Pringsheim's sense.

Theorem 9. Every I bounded triple sequence

 

xnkl in

Pringsheim's sense has a subsequence which is I convergent to a finite real number in Pringsheim's sense.

References

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

2. A.R. Freedman and J.J. Sember, Densities and summability, Pacitific J. Math., 95(1981), 10-11.

3. J.A. Fridy, Statistical limit points, Proc. Amer. Math. Soc., 118(1993), 1187-1192.

4. J.A. Fridy and C. Orhan, Statistical limit superior and inferior, Proc. Amer. Math. Soc., 125(1997), 3625-3631.

5. H.J. Hamilton, Transformations of multiple sequences, Duke Math. J., 2(1936), 29-60.

6. J.L. Kelley, General Topology, Springer-Verlag, New York (1955).

7. P. Kostyrko, M. Macaj and T. Salat, I Convergence, Real Anal. Exchange, 26(2)(2000), 669-686.

8. P. Kostyrko, M. Macaj, T. Salat and M.Sleziak, I Convergence and Extremal 

I Limit Points, Math. Slovaca, 55(2005), 443-464.

9. A. Pringsheim, Zur theorie der zweifach unendlichen Zahlenfolgen, Math. Ann., 53(1900), 289-321.

10. G.M. Robinson, Divergent double sequences and series, Trans. Amer. Math. Soc., 28(1926), 50-73.

11. H. Steinhaus, Sur la convergence ordinaire et la convergence asymptotique, Colloq. Math., 2(1951), 73-74.

12. B.C. Tripathy, Statistically convergent double sequences, Tamkang J. Math., 34:3(2003), 231-237.

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Soochow J. of Math., 31(4)(2005), 549-560.

14. A. Şahiner, M. Gürdal, F.K. Düden, Triple sequences and their statistical convergence, Selçuk J. Appl. Math., 8(2)(2007), 49-55.

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