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Vol. 08, Issue 7 (July. 2018), ||V (III) || PP 46-50

Double Sequence Spaces of Fuzzy Real Numbers of Paranormed

Type Under An Orlicz Function

Bipul Sarma

MC College, Barpeta, Assam, INDIA Corresponding Author: Bipul Sarma

Abstract:

In this article we study different properties of convergent, null and bounded double sequence spaces of fuzzy real numbers defined by an Orlicz function. We study different properties like completeness, solidness, symmetricity etc.

Keywords:

Fuzzy real number, solid space, symmetric space, completeness.

--- Date of Submission: 29-06-2018 Date of acceptance: 16-07-2018 --- ---

I.

INTRODUCTION

The notion of fuzzyness is widely applicable in many branches of Engineering and Technology. Throughout, a double sequence is denoted by <Xnk >, a double infinite array of elements Xnk, where each Xnk is a fuzzy real number.

The initial works on double sequences is found in Bromwich [2]. Later on it was studied by Hardy [4], Moricz [7], Basarir and Sonalcan [1], Sarma [11], Tripathy and Sarma [12] and many others. Hardy [4] introduced the notion of regular convergence for double sequences.

The concept of paranormed sequences was studied by Nakano [8] and Simmons [10] at the initial stage. Later on it was studied by many others.

An Orlicz function M is a mapping M :[0, )  [0, ) such that it is continuous, non-decreasing and convex with M(0) = 0, M(x) > 0 for x > 0 and M(x) , as x  .

Let D denote the set of all closed and bounded intervals X = [a1, a2] on R, the real line. For X, YD we define

d (X, Y ) = max ( | a1 _

b1 |, | a2 _

b2 | ),

where X = [a1, a2] and Y = [b1, b2]. It is known that (D, d)is a complete metric space.

A fuzzy real number X is a fuzzy set on R, i.e. a mapping X : R I (=[0,1]) associating each real number t with its grade of membership X (t).

The  - level set [X] of the fuzzy real number X, for 0 <  1, defined as [X] = { tR : X(t)  }.

A fuzzy real numberX is called convex if X(t) X(s) X(r) = min (X(s), X(t)), where s < t < r. If there exists t0 R such that X(t0) = 1, then the fuzzy real number X is called normal.

A fuzzy real number X is said to be upper-semi continuous if, for each  > 0, X-1( [0, a + )), for all a I is open in the usual topology of R.

The set of all upper-semi continuous, normal, convex fuzzy real numbers is denoted by R(I) and throughout the article, by a fuzzy real number we mean that the number belongs to R(I).

The set R of all real numbers can be embedded in R(I). For r R,

r

R(I) is defined by

r

(t) =

.

1, for

,

0, for

t

r

t

r

A fuzzy real number X is called non-negative if X(t) = 0, for all t < 0. The set of all non-negative fuzzy real numbers is denoted by R*(I ).

Let

d

: R(I)  R(I) R be defined by

d

(X, Y) =

0 1

sup

d

[ ] ,[ ]

X

Y

  

.

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International organization of Scientific

Research

47 | P a g e

II.

DEFINITIONS AND PRELIMINARIES

A double sequence (Xnk) of fuzzy real numbers is said to be convergentin Pringsheim’s sense to the fuzzy real number L if, for every  > 0, there exists n0, k0N such that

d

(Xnk, L) < , for all n n0 , kk0.

A double sequence (Xnk) of fuzzy real numbers is said to be regularly convergent if it convergent in Pringsheim’s sense and the following limits exist:

lim (

nk

,

k

)

0

n

d X

L

, for some LkR(I), for each kN,

and

lim (

nk

,

n

)

0

k

d X

J

, for some JnR(I), for each nN.

A fuzzy real number sequence (Xk) is said to be bounded if

sup |

k

|

μ,

k

X

for some R*(I ).

Throughout the article 2wF,

(

2

)

F, 2cF,

(

2

c

0

)

F,2

R F

c

and

(

2

c

0R

)

Fdenote the classes of all, bounded, convergent in Pringsheims sense, null in Pringsheim’s sense, regularly convergent and regularly null fuzzy real numbersequencesrespectively.

A double sequence space EFis said to be solid (or normal) if <Ynk> EF, whenever |Ynk|  |Xnk|, for all n, k

N, for some <Xnk>EF.

Let K = {(ni, ki) : iN ; n1 < n2 < n3 < . . . . and k1 < k2 < k3 < . . . . }NN and EF be a double sequence space. A K-step space of EF is a sequence space

{

2

:

}

i i E

K

X

n k

w

F

X

nk

E

F

 





.

A canonical pre-image of a sequence

i i n k

X

EF is a sequence <Ynk> defined as follows:

, if ( , )

,

0,

otherwise.

nk nk

X

n k

K

Y

 





A canonical pre-image of a step space

KE is a set of canonical pre-images of all elements in

KE.

A double sequence space EF is said to be monotone if EF contains the canonical pre-image of all its step spaces.

From the above definitions we have the following remark.

Remark. A sequence space EF is solid  EF is monotone.

A double sequence space EF is said to be symmetric if (X(n) (k)) EF, whenever (Xnk)EF, where  is a permutation of N.

In this article we introduce the following sequence spaces of fuzzy real numbers: Let p = <pnk> be a sequence of strictly positive real numbers.

2

(

M p

, )

= 2 ,

(

, 0)

: lim

nk p nk nk F n k

d X

X

w

M



 

2

c

F

(

M p

, )

= 2 ,

(

, )

{

: lim

0, for some

( )}

nk p nk

nk F n k

d X

L

X

w

M

L

R I



For

L

0

we get the class

(

2

c

F

) (

0

M p

, )

.

Also a fuzzy sequence <Xnk>  2

(

, )

R F

c

M p

if <Xnk> 2

c

F

(

M p

, )

and the following limits exist:

lim

(

,

)

0, for some

( )

nk p nk k

k n

d X

L

M

L

R I

 

lim

(

,

)

0, for some

( )

nk p nk n

n k

d X

J

M

J

R I

(3)

III.

MAIN RESULTS

Theorem 3.1. Let <pnk> be bounded. Then the classes of sequences

(

2

)

F(M, p),

2

(

, )

R F

c

M p

,

(

2

c

FR

) (

0

M p

, )

are complete metric spaces with respect to the metric defined by,

f (X, Y) =

,

(

,

)

inf

0 : sup

1

nk p

nk nk J

n k

d X

Y

r

M

r

, where J = max (1, 2

H-1 )

Proof. We prove the result for 2

(

M p

, )

. Let

X

nki

be a Cauchy sequence in

(

2

)

F(M, p).

Let  > 0 be given. For a fixed x0 > 0, choose t > 0 such that 0

1.

2

tx

M

 

and m0N be such that

f X

(

i

,

X

j

)

< 0

tx

for all i , jm0.

(

,

)

1

i j nk nk

d X

X

M

r

(

,

)

1

(

,

)

i j nk nk

i j

d X

X

M

f X X

 

M

0

3

tx

0

0

(

,

)

.

3

3

i j nk nk

tx

d X

X

tx

X

nkj

j1 is a Cauchy sequence of fuzzy real number for each n, kN.

Since R(I) is complete there exists fuzzy numbers Xnk such that

lim

j nk nk j

X

X

for each n, kN.

Taking j  in (1) we have,

f X

(

nki

,

X

nk

)

ε

Using the triangular inequality

f

(

X

nk

,0)

 

f

(

X

nk

 

,

X

nkj

  

)

f

(

X

nkj

,0)

we have <Xnk> 

(

2

)

F(M, p). Hence

(

2

)

F(M, p) is complete.

Theorem 3.2. The space

(

2

)

F(M, p) is symmetric but the spaces2

c

F

(

M p

, )

, 2

c

FR

(

M p

, )

,

2 0

(

c

F

) (

M p

, )

,

(

2

) (

0

, )

R F

c

M p

are not symmetric.

Proof. Obviously the space

(

2

)

F(M, p) is symmetric. For the other spaces consider the following example.

Example 3.1. Consider the sequence space 2

c

F

( )

p

. Let

M x

( )

x

.

Let p1k = 2 for all kN and pnk = 3, otherwise. Let the sequence <Xnk> be defined by

X

1k

2

for all kN.

and for n > 1,

2 for

2

1,

( )

,

for

1

0,

0,

otherwise.

nk

t

t

X

t

t

t

   

 

  

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International organization of Scientific

Research

49 | P a g e

and for nk,

2 for

2

1,

( )

,

for

1

0,

0,

otherwise.

nk

t

t

Y

t

t

t

   

 

  

Then <Xnk> 2

c

F

( )

p

but <Ynk> 2

c

F

( )

p

. Hence 2

c

F

( )

p

is not symmetric. Similarly the other spaces

are also not symmetric.

Theorem 3.3. The spaces

(

2

)

F(p),

(

2

c

0

) ( )

F

p

and

(

2 0

) ( )

R F

c

p

are solid.

Proof. Consider the sequence space

(

2

)

F(p). Let <Xnk> 

(

2

)

F(p) and <Ynk> be such that

(

nk

, 0)

(

nk

, 0)

d Y

d X

.

The result follows from the inequality

{ (

,0)}

pnk nk

d Y

{ (

, 0)}

pnk

nk

d X

Hence the space

(

2

)

F(p) is solid. Similarly the other spaces are also solid.

Proposition 3.4. The spaces 2

c

F

( )

p

,

(

2

) ( )

R F

c

p

and

m p

( )

are not monotone and hence are not solid.

Proof. The result follows from the following example:

Example 3.2. Consider the sequence space 2

c

F

( )

p

. Let

M x

( )

x

.

Let pnk = 3 for n + k even and pnk = 2, otherwise. Let J = {(n, k): n + k is even}NN. Let <Xnk> be defined as:

For all n, kN, 1 1 1

3 for 3

2,

( )

(3

1)

3 (3

1) , for

2

1

,

0,

otherwise.

nk

t

t

X

t

nt n

n n

t

n

   

    

Then <Xnk> 2

c

F

( )

p

. Let <Ynk> be the canonical pre-image of

X

nk

J for the subsequence J of N. Then

for ( , )

,

0 otherwise.

nk nk

X

n k

J

Y

 





Then <Ynk>  2

c

F

( )

p

. Thus 2

c

F

( )

p

is not monotone. Similarly the other spaces are also not monotone.

Hence the spaces 2

c

F

( )

p

,

(

2

) ( )

R F

c

p

and

m p

( )

are not solid.

REFERENCES

[1]. Basarir, M. and Sonalcan, O.: On some double sequence spaces; J. Indian Acad. Math. 21(2), (1999); 193-200.

[2]. Bromwich T.J.IA: An Introduction to the Theory of Infinite Series; MacMillan and Co. Ltd. New york (1965).

[3]. B. Choudhary and B.C. Tripathy: On fuzzy real-valued

(

p

)

F sequence spaces; Proc. International Conf. 8th Joint Conf. on Inf. Sci. (10th International Conf. on Fuzzy Theory and Technology) Held at Salt Lake City, Utha, USA, during July 21-25, 2005, USA, 184-190.

[4]. Hardy G. H.: On the convergence of certain multiple series; Proc. Camb. Phil. Soc.; 19 (1917). [5]. Kaleva, O. and Seikkala, S.: On fuzzy metric spaces; Fuzzy Sets and Systems, 12 (1984), 215-229. [6]. Kamthan, P.K. and Gupta, M.: “Sequence spaces and Series”; Marcel Dekkar, New York, (1981). [7]. Moricz, F: Extension of the spaces c and c0 from single to double sequences; Acta. Math.

Hungerica.; 57(1-2), (1991),129 -136.

(5)

[9]. Nuray, F. and Savas, E.: Statistical convergence of fuzzy numbers; Math. Slovaca, 45 (3) (1995), 269-273.

[10]. Simons, S.: The sequence spaces l(p) and m(p). Proc. London Math. Soc.,(3) 15 (1965), 422-436. [11]. Sarma B.: Double sequence spaces defined over an n normed sequence space; Afrika Matematika, 24(4),

683-689.

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

[13]. Zadeh, L.A.: Fuzzy sets; Inform and Control, 8 (1965), 338-353.

References

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