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Mathematical and Computational Applications, Vol. 17, No. 2, pp. 92-99, 2012

 

ON STRONGLY ALMOST CONVERGENT SEQUENCE SPACES OF FUZZY NUMBERS

Ekrem Savaş

Department of Mathematics, Istanbul Commerce University, Istanbul, Turkey [email protected], [email protected]

Abstract. In this paper we define some new almost convergent sequence spaces of fuzzy numbers through a non- negative regular matrix and we also examine some topological properties and some inclusion relations for these new sequence spaces.

Key Words: Fuzzy numbers, almost convergence, strongly almost convergence 1. INTRODUCTION

In many branches of mathematics and engineering we often come across different types of sequences and certainly there are situations either the idea of ordinary convergence does not work or the underlying space does not serve our purpose. So to ideal with such situations we have to introduce some new type of measures which can provide a better tool and a suitable frame work. In particular, we are interested to put forward our studies in fuzzy like situations. The concepts of fuzzy sets and fuzzy set operation were first introduced by Zadeh [16] in 1965. Since then a large number of research papers have appeared by using the concept of fuzzy set numbers and fuzzification of many classical theories has also been made. It has also very useful application in various fields, e.g. population dynamics [4], chaos control [6], computer programming [7], nonlinear dynamical systems [8], fuzzy physics [9], etc.

In this paper, we define some new almost convergent sequence spaces of fuzzy numbers through a non- negative regular matrix and we also examine some topo- logical properties.

2. SOME DEFINITIONS

Let D be the set of all bounded intervals A A A,  on the real line  . For A B, D, define

if and only if and ,

( , ) max( , ).

A B A B A B

d A B A B A B

Then it can be easily see that d defines a metric on D (see, [5]) and ( , )D d is a complete metric space.

A fuzzy number is a fuzzy subset of the real line  which is bounded, convex and normal. Let L 

 

denote the set of all fuzzy numbers which are upper semi- continuous and have compact support, i.e. if X L

 

then for any

 

0,1 , X is

compact where

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E. Savaş  

93

: ( ) if 0< 1,

: ( ) 0 if =0

t X t

X t X t

 

 

 

For each 0 

1 the

- level set

X

is a nonempty compact subset of  . The linear structure of L(  ) includes addition X

Y and scalar multiplication

 

, a scalar

X  in terms of  level sets, by

XY

    

X Y and

 

X

 

X

each for 0 

1.

Define a map

0 1

( , ) sup ( , ).

d X Y d X Y

 

For X Y, L

 

define X Y if and only if XYfor any

 

0,1 . It is known that

L( ), d

is complete metric space (see, [11]). We will need the following definitions (see, [15]).

Definition 2.1. A sequence X (Xk)of fuzzy numbers is said to be convergent to a fuzzy number X0; written as lim k 0

k XX if for every 0 there exists a positive integer N0 such that

d X( k,X0)

for kN0

Let c F( ) denote the set of all convergent sequences of fuzzy numbers.

Definition 2.2. A sequence X (Xk) of fuzzy numbers is said to be bounded if the set (Xk:k) of fuzzy numbers is bounded. We denote by l

( )

F the set of all bounded sequences of fuzzy numbers.

It is straightforward to see that

c F( )l

 

Fw F

 

.

In [15] it was shown that c F

 

and l F

( )

are complete metric spaces.

For further studies we refer [12], [17] and [18].

In this paper we define some new almost sequence spaces of fuzzy numbers through a non-negative regular matrices A(ank),( ,n k 1, 2,...). By the regularity of A we mean that the matrix which transform convergent sequence into a

convergent sequence leaving the limit invariant ( Maddox, [10]).

The famous Silverman-Toeplitz conditions for the regularity of A are as follows:

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On Strongly Almost Convergent Sequence Spaces of Fuzzy Numbers 94

A is regular if and only if

( )

i A

 sup

n

ank

 

( ) lim

i nank

 0,

for each k

( ) limiii n

ank 1.

By a paranorm we mean a function g  E

where E is a linear space

which satisfies the following conditions:

( :1) p g( ) 0,

( : 2) p g x( ) 0  for all xE, ( : 3) p g( ) x g x for all x( ) E

( : 4) (p g xy)g x( )g y( ) for all x y , E,

( : 5) p If

 

n is a sequence of scalars with ¸n

n 

and xn is a sequence of the elements of E with g x( nx)0

n 

, then

 

( n n ) 0 ,

gx xn 

The space E is called the paranormed space with the paranorm g .

Recently E. Savas [17] have defined the following space of sequences of fuzzy numbers.

Definition 2.3. The sequences X (Xk) of fuzzy numbers is said to be almost convergent to a fuzzy number L if

This means that for every

0, there exist a m0 such that

limmd t

mn

 

X , L

 whenever mm0

and for all n.

If the limit in (1) exists, then we write c Fˆ

 

limX L.

We are ready to define the following:

   

0

lim , 0, , (1) ( ) 1

1

m mn

m

mn i n i

d t X L uniformly in n

t X X

m

 

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E. Savaş  

95

Let A

 (

ank

), ( ,

n k

 1, 2,...)

be an infinite regular matrix of non-negative real numbers and let p( )pk be a sequence of positive real numbers. We define

   

0 1

ˆ, ( ) ( : ( ,0) 0, , ),

pk

k nk k i

k

A p F X X a d X n uniformly in i

        

 

 

0

 

1

ˆ, ( ) ( : ( , ) 0, , ).

pk

k nk k i

k

A p F X X a d X X n uniformly in i

        

 

and call them respectively the spaces of strongly almost A- convergent to zero, and strongly almost A- convergent to X0 . We can specialize these spaces as follows.

(i) If A(ank)is a Cesaro matrix of order 1, i.e.

1 0,

nk

k n

a n

k n

 

  

 

we have

 

0

 

0

ˆ, ( ) ˆ, A p F c p F

, and A pˆ,  

 

c p Fˆ,

 

which are defined as follows:

 

0

1

1

ˆ, ( ) ( : ( ,0) 0, , ),

pk

n

k k i

k

c p F X X n d X n uniformly in i

 

 

    

   

1 0

 

1

ˆ, ( ) ( : ( , ) 0, , ).

pk

n

k k i

k

c p F X X n d X X n uniformly in i

 

 

    

and further on taking pk 1for all k, these are reduced to following sequences spaces:

 

0

 

1

 

1

ˆ ( ) ( k : n ( k i,0) 0, , uniformly in ),

k

c F X X n d X n i

 

 

   

   

1 0

 

1

ˆ ( ) ( k : n ( k i, ) 0, , uniformly in ).

k

c F X X n d X X n i

 

 

   

Strongly almost sequence of fuzzy numbers is discussed in [13].

(ii) If A

 (

ank

)

is considered as

1

1 0,

r r

nk r

k k k

a h

otherwise

  

 



(5)

On Strongly Almost Convergent Sequence Spaces of Fuzzy Numbers 96

where

 

kr is a lacunary sequence, i.e. an increasing sequence of non-negative integers with hrkrkr1   as r . The intervals determined by  will be denote by Ir

kr1kr

.

We have the following:

 

ˆ 0 ( )

(

: 1 ( ,0) 0, ,

 

),

r

k r k i

k I

c F X X h d X r uniformly in i

 

 

   

 

ˆ ( )

(

: 1 ( , 0) 0, ,

 

).

r

k r k i

k I

c F X X h d X X r uniformly in i

 

 

   

Strongly almost lacunary sequence of fuzzy numbers is discussed in [3].

A metric d on L(  ) is said to be a translation invariant if

,   ,, , ( )

d X

Z Y

Z

d X Y for X Y Z

 

L .

Proposition 2.1. If d is a translation invariant metric on L(  ) then,

     

( ) i d XY,0 d X,0 + d Y,0

   

( ) ii d

X,0 

d X,0 , where is scalar and

 

1.

Proof (i). By the triangle inequality

,0   ,    + ,0, 0    ,0,0    ,0

d X

Y

d X

Y Y d Y

d X

Y Y

 

d Y

d X

d Y since d is a translation invariant.

(ii) It follows easily by using (i) and induction.

If d is a translation invariant, we have the following straightforward result.

Proposition 2.2. Let

 

pk be a bounded sequence of strictly positive real numbers.

Then

A p,

0( )F and

A p F,

( ) are linear spaces over the complex field C.

3. MAIN RESULTS

Theorem 3. 1.

A p,

0( )F and

A p F,

( ) are paranormed spaces with the para- norm g defined by

   

1/

1

sup ,0

k M

n p

nk k i

n k

g X a d X

   

 

 

  

where M max(1,supk pk), where d is a translation invariant.

(6)

E. Savaş  

97

Proof. Clearly g( ) 0, (  gX)g X( ). It can also be seen easily that

   

( ) ( ) ( k), ( ) k , o( )

g X Y g X g Y for X X Y Y in A p F since d is a translation invariant.

Now for any

we have pk max(1,H),

whereH supk pk  , so g(X) (supkpk) . ( ) ,1/M g X on A p

 

0( ).F

Hence

0, X

implies X  and alsoX  , fixed implies

X

. Now let

0, X fixed. For  1, we have

 

1

,0 ( ) .

pk

nk k i

k

a dXfor n Nand all i

   

 

 

Also, for 1 n N, since  

1

,0

pk

nk k i

k

a d X

 

there exists M such that

nk

k i, 0

pk

k M

a d X

Taking

small enough we then have for all n i,

 

1

, 0 2 .

pk

nk k i

k

a d X

Hence g(X)0 as 0. Therefore g is paranorm on

, 0( ).

A p F

A pˆ, ( ) F

has exactly the same proof.

Theorem 3.2. Let 0 pkqkand

qk / pk

be bounded. Then A qˆ, ( )F A pˆ, ( ).F

Proof. Let X

 

Xk   A qˆ,

 

F . Put tk i,  d X

k i ,X0

qk and k (qk / pk) so that 0 

 

k 1. Define ,

, ,

,

1

0, 1

k i k i k i

k i

t t

u t

and ,

,

, ,

0, 1

, 1.

k i k i

k i k i

v t

t t

Then we have

, , ,

k i k i k i

tuv and tk i,kuk i,kvk i,k and it follows that ,k , ,

k i k i k i

uut and

,k ,.

k i k i

vv Therefore

   

 

0 , , ,

1 1 1

, ,

1 1

,

0 , .

k

k k k

p

nk k i nk k i nk k i k i

k k k

nk k i nk k i

k k

a d X X a t a u v

a t a v n uniformly in i

    

 

 

    

  

 

Since

 

1

ˆ, , nk ki

k

X A q F a t

  

is convergent for all n,i and since vk i, 1 and

(7)

On Strongly Almost Convergent Sequence Spaces of Fuzzy Numbers 98

A is regular, for all n, i

1 nk ki k

a v

is also convergent. Hence X A pˆ,

 

F , i.e.

ˆ, ( ) ˆ, ( ).

A q F A p F

   

   

If X

 (

Xk

)

is strongly almost A-summable to s we write Xk   s A pˆ,

 

F .

Theorem 3.3. Suppose A(ank) transforms null sequence into null sequence,i.e.

0( ), ( )0

Ac F c F and p( )pk converges to a positive limit. Then

   

ˆ ˆ

, , , ' ,

k k k

X s X s A p F X s A p F imply ss' if and only if

0, ( ) (2)

nk k

an 

Proof. Necessity. Suppose thatA

c F c F0( ), ( )0

and pk is bounded. Let Xks imply that Xk s A pˆ,  F uniquely. we have e 1A pˆ, ( ).F Therefore condition (2) must hold, for otherwise e 0A pˆ, ( )F which contradicts the uniqueness of s.

Sufficiency. Suppose that condition (1) holds. A

c F0( ), ( )c F0

and pk  r 0.

Further assume thatXks implies that Xk s A pˆ,  F and Xk  s'A pˆ, 

 

F where d s s( , ') a 0.

Then we get

1

limn nk ik 0, . (3)

k

a u uniformly in i

 where

uikd X

k i,s

pkd X

k i, 's

pk .

By the assumption uikar. SinceA

c F c F0( ), ( ) ,0

uikar implies that

 

1

limn nk ik, r 0, . (4)

k

a d u a uniformly in i

 But we have

 

1 1 1

, 0. (5)

r r

nk nk ik nk ik

k k k

a a a u a d u a

  

  

By (3), (4) and (5) it follows

1 limn nk.

k

a

Since this contradicts (2), we must have s

s

'

and this completes the proof.

Acknowledgements : I wish to thank the referee for his careful reading of the manuscript and for his helpful suggestions.

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E. Savaş  

99

5. REFERENCES

1. Y. Altin, M. Et, and M. Basarir, On some generalized difference sequences of fuzzy numbers, Kuwait J. Sci. Eng. 34 (1A) , 1-14, 2007.

2. H. Altinok, R. Çolak, and M. Et, λ-Difference sequence spaces of fuzzy numbers, Fuzzy Sets and Systems 160 (21), 3128-3139, 2009.

3. Hifsi Altiok, Yavuz Altin and Mikail Et, Lacunary almost staistical convergence of fuzzy numbers, Thai Journal of Mathematics, 2, 265-274, 2004.

4. L. C. Barros, R. C. Bassanezi, P.A. Tonelli, Fuzzy modelling in population dynamics, Ecol.Model. 128, 27- 33, 2000.

5. P. Diamond and P. Kloeden, Metric spaces of fuzzy sets, Fuzzy Sets and Systems, 35, 241-249, 1990.

6. A. L. Fradkov, R. J. Evans, Control of chaos: Methods and applications in engineering, Chaos Solitons Fractals 29, 33- 56, 2005.

7. R. Giles, A computer program for fuzzy reasoning, Fuzzy Sets and System 4, 221 234, 1980.

8. L. Hong, J. Q. Sun, Bifurcations of fuzzy nonlinear dynamical systems, Commun.

Nonlinear Sci. Numer. Simul. 1, 1 -12, 2006.

9. J. Madore, Fuzzy physics, Ann. Phys. 219 (1992) 187- 198.

10. I. J. Maddox, Elements of functional analysis, Camb. Univ. Press (1970).

11. M. Matloka, Sequences of fuzzy numbers, BUSEFAL, 28, 28-37, 1986.

12. Mursaleen and M. Basarir, Some sequence spaces of fuzzy numbers generated by infinite matrices, J. Fuzzy Math., 11, 757-764, 2003.

13. Mursaleen and M. Basarir, On some new sequence spaces of fuzzy numbers, Indian J. Pur. Appl. Math., 34(9), 1351-1357, 2003.

14. S. Nanda, Strongly almost summable and strongly almost convergent sequence, Acta Math.Hung. 49, 71-76, 1987.

15. S. Nanda, On sequence of Fuzzy numbers, Fuzzy Sets and System, 33, 123-126, 1989.

16. E. Savas, A note on sequence of Fuzzy numbers, Infor. Sci.124, 297-300, 2000.

17. E. Savas, On almost convergent sequences of Fuzzy numbers, New Math. Natur.

Comput., 2, 123-130, 2006.

18. E. Savas, Some almost convergent sequence spaces of fuzzy numbers generated by infinite matrices. New Math. Nat. Comput. 2(2), 115–121, 2006.

19. B. C. Tripathy, A. Baruah,. Lacunary statically convergent and lacunary strongly convergent generalized difference sequences of fuzzy real numbers. Kyungpook Math.

J. 50 (2010), no. 4, 565-574.

20. A. Zadeh, Fuzzy Sets, Infor. Control. 8, 338-335, 1965.

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