SlideShare a Scribd company logo
International Journal of Engineering Science Invention
ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726
www.ijesi.org ||Volume 5 Issue 4|| April 2016 || PP.35-39
www.ijesi.org 35 | Page
Fixed Point Theorem in Fuzzy Metric Space Using (CLRg)
Property
Smt. Preeti Malviya1
, Dr.Vandna Gupta2
&Dr. V.H. Badshah3
1
Govt. New Science College , Dewas (M.P.) ,455001, India
2
Govt. Kalidas Girl's College, Ujjain (M.P.) 456010, India
3
School of Studies in Mathematics,Vikram University, Ujjain(M.P), 456010,India
ABSTRACT: The object of this paper is to establish a common fixed point theorem for semi-compatible pair
of self maps by using CLRg Property in fuzzy metric space.
2010 Mathematics Subject Classification : 54H25, 47H10.
keywords: Common fixed point, fuzzy metric space , Semi compatible maps , Weakly compatible maps, CLRg
Property.
l. INTRODUCTION
Zadeh'
s [1 ] introduced the fuzzy set theory in 1965. Zadeh's [ 1 ] introduction of the notion of fuzzy set laid
the foundation of fuzzy mathematics . Sessa [2 ] has introduced the concept of weakly commuting and
Jungck [ 3] initiated the concept of compatibility. In , 1988 , Jungck and Rhoades [4 ] introduced the notion
of weakly compatible . The concept of fuzzy metric space introduced by kramosil and Mishlek [ 5 ] and
modified by George and Veramani [ 6 ]. In 2009, M. Abbas et. al. [7] introduced the notion of common
property E.A. B.Singh et. al. [8] introduced the notion of semi compatible maps in fuzzy metric space .
Recently in 2011 , Sintunavarat and Kuman [ 9] introduced the concept of common limit in the range
property . Chouhan et.al. [10 ] utilize the notion of common limit range property to prove fixed point
theorems for weakly compatible mapping in fuzzy metric space .
II. PRELIMINARIES
Definition 2.1 [ 11 ] Let X be any set . A Fuzzy set A in X is a function with domain X and Values in [ 0,1].
Definition 2.2[ 6] A Binary operation * : [0,1] ×[0,1] →[0,1] is called a continuous t-norms
if an topological monoid with unit 1 such that a*b≤ c*d whenever a≤c and b≤d , for all
a,b,c,d in [0,1].
Examples of t – norms are a*b = ab and a*b =min {a,b}.
Definition 2.3[ 6 ] The triplet ( X,M, *) is said to be a Fuzzy metric space if , X is an arbitrary set , * is a
continuous t- norm and M is a fuzzy set on X2
×(0,∞) satisfying the following conditions; for all x,y,z in X
and s,t > 0,
(i) M(x,y,0) = 0 , M(x,y,t)>0,
(ii) M(x,y,t) = 1 ,for all t > 0 if and only if x=y,
(iii) M(x,y,t) = M(y,x,t),
(iv) M(x,y,t) * M( y,z,s) ≤ M( x,z, t+s),
(v) M(x,y,t) : [ 0,∞ ) →[0,1] is left continuous.
Example 2.1 [ 6] Let (X,d) be a metric space . Define a*b = min {a,b} and
M(x,y,t) = t / t + d(x,y) for all x,y ∈ X and all t > 0 . Then (X,M, *) is a fuzzy
metric space . It is called the fuzzy metric space induced by the metric d.
Definition 2.4 [ 6 ] A sequence {xn} in a fuzzy metric space (X,M,*) is called a Cauchy
Sequence if , lim n→∞ M ( Xn+p,Xn,t) = 1 for every t.>0 and for each p>0.
A fuzzy metric space(X, M,*) is Complete if ,every Cauchy sequence in X converge
to X.
Definition 2.5[6 ] A sequence {Xn } in a fuzzy metric space ( X,M,*) is said to be Convergent to x in X if
, limn→∞M( Xn,X, t) = 1 , for each t>0.
Definition 2.6 [12] Two self mappings P and Q of a fuzzy metric space (X,M,*) are said to be
Compatible , if limn→∞M(PQxn,QPxn,t) =1 whenever {xn} is a sequence such that
limn→∞Pxn = limn→∞ Qxn = z , for some z in X .
Definition 2.7 [ 13 ] Self maps A and S of a Fuzzy metric space (X,M,*) are said to be Weakly Compatible if
they commute at their coincidence points,
if, AP=SP for some pєX then ASp=SAp.
Fixed Point Theorem in Fuzzy Metric Space…
www.ijesi.org 36 | Page
Lemma 2.1 [ 8 ] Let {yn} is a sequence in an FM- space . If there exists a positive number k<1
such that M(yn+2, yn+1 , kt) ≥ M( yn+1, yn,t) , t>0 , n 𝜖 N,
then {yn} is a Cauchy sequence in X .
Lemma 2.2 [ 8 ] If for two points x, y in X and a positive number k < 1
M(x,y,kt) ≥ M(x,y,t) , then x = y.
Lemma 2.3 [ 14] For all x,y ∈ X , M(x,y,.) is a non – decreasing function.
Definition 2.8 [ 8 ] A pair (A,S) of self maps of a fuzzy metric space (X,M,*) is said to be
Semi compatible if limn→∞ ASxn = Sx , whenever {xn} is a sequence such that
limn→∞ Axn = limn→∞ Sxn = x , for some x ∈ X .
It follows that (A,S) is semi compatible and Ay = Sy then ASy = SAy
Example 2.2 Let X = [ 0,1] and (X,M, t) be the induced fuzzy metric space with
M (x,y,t) = t / t +│x-y│. Define self maps P and Q on X as follows :
2 , if 𝜃 ≤ x ≤ 1 2 , if x=1
Px= x/2, if 1< x≤ 2 and Qx = x+ 3/5 . if 1 < x≤ 2
And xn = 2 – 1/ 2n
. Then we have P (1) = Q(1)= 2 and S(2) = A(2) = 1.
PQ(1) =QP(1) =1 and PQ(2) = QP(2) = 2 . Hence Pxn→1 and Qxn→1 and QPxn→1, as n→∞.
Now ,
limn→∞ M (PQxn, Qy, t ) = M(2,2,t) = 1
limn→∞ M(PQxn, QPxn,t) = M(2,1,t) = t / 1+t < 1.
Hence (P,Q) is semi compatible but not compatible.
Definition 2.9 [ 9 ] A pair of self mapping P and Q of a fuzzy metric space (X,M,*) is said
to satisfy the (CLRg) property if there exists a sequence {xn} in X such that
limn→∞ Pxn = limn→∞ Qxn = Qu , for some u ∈ X .
Definition 2.10 [ 9 ] Two pairs (A,S) and (B,T) of self mappings of a fuzzy metric
Space (X,M, *) are said to satisfy the (CLRST) property if there exist two sequence
{xn} and {yn} in X such that
limn→∞ Axn = limn→∞ Sxn = limn→∞ Byn = limn→∞ Tyn = Sz,
for some z 𝜖 S(X) and z 𝜖 T(X).
Definition 2.11 [ 9 ] Two pairs (A,S) and (B,T) of self mappings of a fuzzy metric
Space (X,M, *) are said to share CLRg of S property if there exist two sequence
{xn} and {yn} in X such that
limn→∞ Axn = limn→∞ Sxn = limn→∞ Byn = limn→∞ Tyn = Sz,
for some z 𝜖 X.
Proposition 2.1 [ 4 ] In a fuzzy metric space (X,M,*) limit of a sequence is unique.
Example 2.3 Let X = [ 0,∞) be the usual metric space . Define g , h : X→X by
gx = x+ 3 and gx = 4x , for all x 𝜖 X . We consider the sequence {xn} = { 1 + 1/n }.
Since , limn→∞ gxn = limn→∞ hxn = 4 = h(1) 𝜖 X .
Therefore g and h satisfy the (CLRg) property.
Lemma 2.4 Let A, B , S and T be four self mapping of a fuzzy metric space (X,M,*)
Satisfying following
1. The pair (A,S) ( or (B,T) ) satisfies the common limit in the range of S property
(or T property )
2. There exists a constant k 𝜖 (0,1) such that
( M( Ax,By, Kt )) 2
≥ min (( M( Sx,Ty,t ))2
, M(Sx,Ax,t ), M(Sx,By,2t),M(Ty,Ax,t)
M(Sx,By,2t), M(Ty,By,t) ), For all x,y ∈ X and t > 0
3. A(X) ⊆T(X) ( or B(X) ⊆S(X) ) .
Then the pairs (A,S) and (B,T) share the common limit in the range property.
Singh and Jain [ 8] proved the following results.
Theorem 2.1 Let A,B,S and T be self maps on a complete fuzzy metric space (X,M,*)
Satisfying
1. A(X) ⊂ T(X) , B(X) ⊂ T(X)
2. One of A and B is continuous.
3. (A,S) is semi compatible and (B,T) is weak compatible.
4. For all x,y ∈ X and t > 0
M(Ax,Bx,t) ≥ r ( M ( Sx,Ty,t) ),
Where r : [0,1]→[0,1] is a continuous function such that r(t) > t , for each 0< t<1 . Then
A,B,S and T have a unique common fixed point.
Fixed Point Theorem in Fuzzy Metric Space…
www.ijesi.org 37 | Page
III. MAIN RESULT
In the following theorem we replace the continuity condition by using (CLRg) property.
Theorem 3.1 Let A, B, S and T be self mapping on a complete fuzzy metric space (X,M,*),
where * is a continuous t – norm definied by ab = min [a,b] satisfying
( i) A(X) ⊆ T (X) , B(X) ⊆ S(X).
(ii) (B,T) is semi compatible ,
(iii) Then for all x,y ∈ X and t > 0 .
M ( Ax, By, kt ) ≥ 𝜙 [ min ( M ( Sx , Ty ,t) , { M(Sx,Ax,t) . M(By,Ty,t) } ,
½ ( M ( Ax, Ty,t ) + M(By,Ax,t) ]
Where 𝜙 : [0,1] → [0,1] is a continuous function such that 𝜙 (1) = 1 , 𝜙 (0) = 0
and 𝜙 (b) = b , for 0 < b<1.
If the pair (A,S ) and ( B, T) share the common limit in the range of S property ,
then A, B, S and T have a unique common fixed point
Proof –Let x0 be any arbitrary point for which there exist two sequences {xn} and {yn}
in X such that
y2n+1 = Ax2n = Tx2n+1 and y2n+2 = Bx2n+1 = Sx2n+2, for n= 0,1,2,…
Now, M(y2n+1,y 2n+2,kt) = M(Ax2n,Bx 2n+1,kt)
≥ 𝜙 [ min ( M(( Sx2n,Tx 2n+1 , t ) ,{ M( Sx2n A,x 2n ,t . M( Bx2n+1,Tx 2n+! , t)},
½ (M ( Ax2n, T2n+1,t ) + M( Bx2n+1,Ax 2n,t ) )]
≥ 𝜙 [min (M(y2n,y 2n+1, t ), { M(y2n, y2n+1 ,t) . M( y2n+2, y2n+1 ,t) },
½ ( M( y2n+1 ,y 2n+1,t) + M( y2n+2,y 2n+1,t )) ]
M(y2n+1,y 2n+2,kt) > M( y2n, y2n+1,t )
Similarly, we can proved M(y2n+2, y2n+3,t) > M(y2n+1,y 2n+2,t)
In general , M(yn+1,y n ,t) > M (yn,y n+1,t)
Thus, from this we conclude that { M ( yn+1,y n,t ) is an increasing sequence of positive
real numbers in [ 0,1] and tends to limit l≤1 .
If l < 1, then M(yn+1,yn ,t ) ≥ 𝜙 ( M ( yn, yn+1, t ),
Letting n→∞ , we get limn→∞ M(yn+1,yn ,t ) ≥ 𝜙 [ lim n→∞ M ( yn, yn+1, t ) ]
l ≥ 𝜙(l) =l ( Since 𝜙(b) > b )
a contradiction . Now for any positive integer q
M(yn,y n+q,t) ≥ M( yn, yn+1, yn+q ,t /2(q-1)+1 ) * M( yn+1,y n+2 ,yn+q ,t/2(q-1)+1)*…*
M(yn+q+1, yn+q , t/ 2(q-1)+1)
Taking limit, we get
limn→∞ M(yn,y n+q,t) ≥ limn→∞ M( yn, yn+1, yn+q ,t /2(q-1)+1 ) * llimn→∞M( yn+1,y n+2 ,yn+q ,t/2(q-
1)+1)*…* lim n→∞ M( yn+q+!, yn+q, t / 2 (q-1)+1 )
Limn→∞ M (yn,y n+q,t ) ≥ 1*1*1*….*1=1
Which means {yn} is a Cauchy sequence in X . Since X is complete , then yn→z in X.
That is { Ax2n} , {Tx2n+1}, {Bx2n+1} and {Sx2n} also converges to z in X.
Since, the pair (A,S) and (B,T) share the common limit in the range of S property , then there exist
two sequences {xn} and {yn} in X such that
limn→∞ Axn = limn→∞ Sxn = limn→∞ Byn = limn→∞ Tyn = Sz, , for some z 𝜖 X.
First we prove that Az= Sz
By (3.3) , putting x= z and y= yn , we get
M(Az,Byn,kt) ≥ ∅ [ min ( M ( Sz, Tyn,t ), { M( Sz,Az,t) .M(Byn, Tyn,t) },
½ ( M ( Az, Tyn, t ) + M( Byn, Az,t)) ]
Taking limit n→∞ , we get
M(Az,Sz,kt) ≥ ∅ [ min ( M( Sz, Sz, t) , { M (Sz,Az,t) . M(Sz,Sz,t) },
½( M (Az,Sz,t ) + M(Sz,Az,t) ) ]
≥ ∅ [ min ( 1, { M(Sz, Az,t) . 1 }, M(Sz,Az,t) ]
M(Az,Sz,kt) ≥ M ( Sz, Az,t )
Hence by Lemma 2.2 , we get Az= Sz …(1)
Since , A(X) ⊆ T(X) , therefore there exist u ∈ X , such that Az=Tu …(2)
Again , by inequality (iii), putting x=z and y= u , we get
M(Az,Su,kt) ≥ ∅ [ min ( M( Sz, Tu, t) , { M (Sz,Az,t) . M(Bu,Tu,t) },
½( M (Az,Tu,t ) + M(Bu,Az,t) ) ]
Using (1) and (2) , we get
M(Tu, Bu,kt) ≥ ∅ [ min ( M( Az, Tu, t ) , { M (Az,Az,t) . M(Bu, Tu, t) },
½ ( M ( Az,Az,t) + M( Bu, Tu,t) ) ]
Fixed Point Theorem in Fuzzy Metric Space…
www.ijesi.org 38 | Page
≥ ∅ [ min M(Tu,Tu,t) , { 1. M(Bu, Tu,t) } , M (Bu,Tu,t)]
M(Tu,Bu,kt) ≥ M (Bu, Tu,t)
Hence , by Lemma 2.2 , we get Tu=Bu …(3)
Thus , from (1),(2) and (3) , we get Az= Sz= Tu = Bu …(4)
Now , we will prove that Az= z
By inequality(iii), putting x= z and y = x2n+1 , we get
M(Az,Bx2n+! ,kt) ≥ ∅ [ min ( M(Sz,Tx2n+1,t) , { M(Sz,Az,t) . M(Bx2n+1,Tx 2n+1,t) }
½( M(Az, Tx2n+1,t) + M(Bx2n+1,Az,t) )]
Taking limit n →∞ , using (1) , we get
M(Az,z,t) ≥ ∅ [ min ( M(Sz,z,t), { M(Az,Az,t) . M(z,z,t) }, ½ ( M(Az,z,t)+ M(z,Az,t))]
M(Az,z,t) ≥ ∅ [ min (M(Az,z,t), { 1,1} , M(Az,z,t) ]
M(Az,z,t) ≥ M(Az,z,t)
Hence , by Lemma 2.2 , we get Az=z
Thus , from (4), we get z= Tu=Bu
Now , Semi compatibility of (B,T) gives BTy2n+1 →Tz , i.e. Bz=Tz.
Now, putting x=z and y= z in inequality (iii), we get
M(Az, Bz,t ) ≥ ∅ [ min (M( Sz,Tz,t) , { M (Sz,Az,t) .M(Bz,Tz,t) } ,
1/2 (M( Az,Tz,t )+ M(Bz,Az,t)) ]
M(Az, Bz,t ) ≥ ∅ [ min (M( Az,Bz,t) , { M (Az,Az,t) .M(Tz,Tz,t) } ,
1/2 (M( Az,Bz,t )+ M(Bz,Az,t)) ]
M(Az,Bz,t) ≥ M(Az,Bz,t)
Hence , by Lemma 2.2 , we get Az=Bz.
And, hence Az= Bz = z.
Combining ,all result we get z= Az=Bz=Sz=Tz.
From, this we conclude that z is a common fixed point of A,B,S and T.
Uniquness
Let z1 be another common fixed point of A,B,S and T. Then
z1 = Az1 = Bz1 =Sz1 = Tz1 , and z =Az=Bz=Sz=Tz
Then, by inequality ( iii) , putting x=z and y =z1,we get
M(z,z1,kt) = M(Az,Bz1,t) ≥ ∅ [ min ( M(Sz, Tz1, t), {M(Sz,Az,t) . M(Bz1,Tz1,t)},
½ (M( Az, Tz1,t ) + M(Bz1,Az,t))]
≥ ∅ [ min ( M (z,z1,t) , { M(z,z,t) . M(z1,z1,t) },
½ (M(z,z1,t) + M(z1,z,t)) ]
≥ ∅ [ min (M(z,z1,t) , 1, M(z,z1,t)
M(z,z1,t) ≥ M(z,z1,t)
Hence, from Lemma 2.2 , we get z=z1
Thus z is the unique common fixed point of A, B, S and T.
Corollary 3.2 Let (X,M,*) be complete fuzzy metric space . suppose that the mapping
A, B,S and T are self maps of X satisfying( i-ii) conditions and there exist k∈ (0,1) such
that
M(Ax,By,kt) ≥ M(Sx,Ty,t), M(Ax,Sx,t), M(By,Ty,t), M(By,Sx,2t), M(Ax,Ty,t)
For every x,y ∈ X , t> 0 . Then A,B,S and T have a unique common fixed point in X.
Corollary3.3 Let (X,M,*) be complete fuzzy metric space . suppose that the mapping
A, B,S and T are self maps of X satisfying (i-ii) conditions and there exist k∈ (0,1) such
that
M(Ax,By,kt) ≥ M(Sx,Ty,t), M(Sx,Ax,t), M(Ax,Ty,t)
For every x,y ∈ X , t> 0 . Then A,B,S and T have a unique common fixed point in X.
IV. ACKNOWLEDGEMENTS
The authors are grateful to the referees for careful reading and corrections.
REFERENCES
[1] L.A. Zadeh, Fuzzy Sets, Inform. and Control ,89, 1965, 338-353.
[2] S. Sessa , On a weak commutativity condition of mapping in fixed point consideration Publ. Inst. Math., 32(46), 1982, 149-153.
[3] G. Jungck , Compatible mapping and common fixed points, Int. J. Math. Sci.,9 ,1986, 771-779.
[4] G. Jungck , B.E. Rhoades , Fixed point theorems for Occasionally weakly compatible Mappings , Fixed point Theory , 7(2),
2006, 287-296.
[5] O. Kramosil, J. michalek , Fuzzy metric and statistical metric spaces , Kybernetka, 11, 1975, 326-334.
[6] A. George ,P. Veeramani , On some result in fuzzy metric spaces, Fuzzy sets and System, 27,1994,395-399.
[7] M. Abbas , I. Altun , D. Gopal, common fixed point theorems for non compatible Mappings in fuzzy metric spaces, Bull.
Math.Appl, 1(2), 2009, 47-56.
Fixed Point Theorem in Fuzzy Metric Space…
www.ijesi.org 39 | Page
[8] B. Singh ,S. jain , Generalized theorems on Fuzzy metric spaces, southeast Asian Bulletin of Math., 33,2007, 963-978. .
[9] W. Sintunavarat , P.Kuman ,Common fixed theorems for a pair of weakly compatible Mappings in fuzzy metric spaces, J. Appl.
Math, 14, 2011.
[10] M. S. Chouhan,W. Sintunavarat,P. Kumam Common fixed points theorems for Weakly compatible mappings in fuzzy metric
space using (JCLR) property, Appl. Math., 3(9) , 2012, 976-982.
[11] R. Vasuki , Common fixed point for R- weakly commuting mappings in fuzzy Metric spaces , Indian J. Pure and Appl. Math. ,
30, 1999,419.
[12] P. Balasubramaniam, R.P. Pant , Common fixed point of four mappings in a fuzzy Metric spaces, J. Fuzzy Math. 10, 2002, 379.
[13] G. Jungck ,P.P. murthy, Y.J.Cho, Compatible mappings of type (A) and common Fixed point , Math., Japonica,38, 1993, 381-
390.
[14] G. Grabiec, fixed point in fuzzy metric spaces, Fuzzy sets and system, 27, 1998,385.
Ad

More Related Content

What's hot (17)

Fixed point theorems for four mappings in fuzzy metric space using implicit r...
Fixed point theorems for four mappings in fuzzy metric space using implicit r...Fixed point theorems for four mappings in fuzzy metric space using implicit r...
Fixed point theorems for four mappings in fuzzy metric space using implicit r...
Alexander Decker
 
Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.
Alexander Decker
 
Some properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spacesSome properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spaces
IOSR Journals
 
On fixed point theorem in fuzzy metric spaces
On fixed point theorem in fuzzy metric spacesOn fixed point theorem in fuzzy metric spaces
On fixed point theorem in fuzzy metric spaces
Alexander Decker
 
Common fixed point theorems of integral type in menger pm spaces
Common fixed point theorems of integral type in menger pm spacesCommon fixed point theorems of integral type in menger pm spaces
Common fixed point theorems of integral type in menger pm spaces
Alexander Decker
 
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
eSAT Publishing House
 
Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...
Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...
Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...
IJRES Journal
 
The Gaussian Hardy-Littlewood Maximal Function
The Gaussian Hardy-Littlewood Maximal FunctionThe Gaussian Hardy-Littlewood Maximal Function
The Gaussian Hardy-Littlewood Maximal Function
Radboud University Medical Center
 
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Alexander Decker
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
somenath_fixedpoint_dasguptaIMF17-20-2013
somenath_fixedpoint_dasguptaIMF17-20-2013somenath_fixedpoint_dasguptaIMF17-20-2013
somenath_fixedpoint_dasguptaIMF17-20-2013
Somenath Bandyopadhyay
 
machinelearning project
machinelearning projectmachinelearning project
machinelearning project
Lianli Liu
 
Bd32360363
Bd32360363Bd32360363
Bd32360363
IJERA Editor
 
Generalized fixed point theorems for compatible mapping in fuzzy 3 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 3 metric spa...Generalized fixed point theorems for compatible mapping in fuzzy 3 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 3 metric spa...
Alexander Decker
 
11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...
Alexander Decker
 
Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...
Alexander Decker
 
Common fixed theorems for weakly compatible mappings via an
Common fixed theorems for weakly compatible mappings via anCommon fixed theorems for weakly compatible mappings via an
Common fixed theorems for weakly compatible mappings via an
Alexander Decker
 
Fixed point theorems for four mappings in fuzzy metric space using implicit r...
Fixed point theorems for four mappings in fuzzy metric space using implicit r...Fixed point theorems for four mappings in fuzzy metric space using implicit r...
Fixed point theorems for four mappings in fuzzy metric space using implicit r...
Alexander Decker
 
Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.
Alexander Decker
 
Some properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spacesSome properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spaces
IOSR Journals
 
On fixed point theorem in fuzzy metric spaces
On fixed point theorem in fuzzy metric spacesOn fixed point theorem in fuzzy metric spaces
On fixed point theorem in fuzzy metric spaces
Alexander Decker
 
Common fixed point theorems of integral type in menger pm spaces
Common fixed point theorems of integral type in menger pm spacesCommon fixed point theorems of integral type in menger pm spaces
Common fixed point theorems of integral type in menger pm spaces
Alexander Decker
 
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
eSAT Publishing House
 
Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...
Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...
Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...
IJRES Journal
 
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Alexander Decker
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
somenath_fixedpoint_dasguptaIMF17-20-2013
somenath_fixedpoint_dasguptaIMF17-20-2013somenath_fixedpoint_dasguptaIMF17-20-2013
somenath_fixedpoint_dasguptaIMF17-20-2013
Somenath Bandyopadhyay
 
machinelearning project
machinelearning projectmachinelearning project
machinelearning project
Lianli Liu
 
Generalized fixed point theorems for compatible mapping in fuzzy 3 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 3 metric spa...Generalized fixed point theorems for compatible mapping in fuzzy 3 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 3 metric spa...
Alexander Decker
 
11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...
Alexander Decker
 
Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...
Alexander Decker
 
Common fixed theorems for weakly compatible mappings via an
Common fixed theorems for weakly compatible mappings via anCommon fixed theorems for weakly compatible mappings via an
Common fixed theorems for weakly compatible mappings via an
Alexander Decker
 

Similar to Fixed Point Theorem in Fuzzy Metric Space Using (CLRg) Property (20)

Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
mathsjournal
 
A Common Fixed Point Theorem on Fuzzy Metric Space Using Weakly Compatible an...
A Common Fixed Point Theorem on Fuzzy Metric Space Using Weakly Compatible an...A Common Fixed Point Theorem on Fuzzy Metric Space Using Weakly Compatible an...
A Common Fixed Point Theorem on Fuzzy Metric Space Using Weakly Compatible an...
inventionjournals
 
Fixed Point Theorem in Fuzzy Metric Space
Fixed Point Theorem in Fuzzy Metric SpaceFixed Point Theorem in Fuzzy Metric Space
Fixed Point Theorem in Fuzzy Metric Space
IJERA Editor
 
A focus on a common fixed point theorem using weakly compatible mappings
A focus on a common fixed point theorem using weakly compatible mappingsA focus on a common fixed point theorem using weakly compatible mappings
A focus on a common fixed point theorem using weakly compatible mappings
Alexander Decker
 
11.a focus on a common fixed point theorem using weakly compatible mappings
11.a focus on a common fixed point theorem using weakly compatible mappings11.a focus on a common fixed point theorem using weakly compatible mappings
11.a focus on a common fixed point theorem using weakly compatible mappings
Alexander Decker
 
Fixed point theorems in random fuzzy metric space through
Fixed point theorems in random fuzzy metric space throughFixed point theorems in random fuzzy metric space through
Fixed point theorems in random fuzzy metric space through
Alexander Decker
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
Some Common Fixed Point Theorems for Multivalued Mappings in Two Metric Spaces
Some Common Fixed Point Theorems for Multivalued Mappings in Two Metric SpacesSome Common Fixed Point Theorems for Multivalued Mappings in Two Metric Spaces
Some Common Fixed Point Theorems for Multivalued Mappings in Two Metric Spaces
IJMER
 
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
eSAT Journals
 
B043007014
B043007014B043007014
B043007014
inventy
 
B043007014
B043007014B043007014
B043007014
inventy
 
B043007014
B043007014B043007014
B043007014
inventy
 
02_AJMS_186_19_RA.pdf
02_AJMS_186_19_RA.pdf02_AJMS_186_19_RA.pdf
02_AJMS_186_19_RA.pdf
BRNSS Publication Hub
 
02_AJMS_186_19_RA.pdf
02_AJMS_186_19_RA.pdf02_AJMS_186_19_RA.pdf
02_AJMS_186_19_RA.pdf
BRNSS Publication Hub
 
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...
BRNSS Publication Hub
 
Hk3114251433
Hk3114251433Hk3114251433
Hk3114251433
IJERA Editor
 
A Note on “   Geraghty contraction type mappings”
A Note on “   Geraghty contraction type mappings”A Note on “   Geraghty contraction type mappings”
A Note on “   Geraghty contraction type mappings”
IOSRJM
 
A common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spacesA common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spaces
Alexander Decker
 
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
mathsjournal
 
A Common Fixed Point Theorem on Fuzzy Metric Space Using Weakly Compatible an...
A Common Fixed Point Theorem on Fuzzy Metric Space Using Weakly Compatible an...A Common Fixed Point Theorem on Fuzzy Metric Space Using Weakly Compatible an...
A Common Fixed Point Theorem on Fuzzy Metric Space Using Weakly Compatible an...
inventionjournals
 
Fixed Point Theorem in Fuzzy Metric Space
Fixed Point Theorem in Fuzzy Metric SpaceFixed Point Theorem in Fuzzy Metric Space
Fixed Point Theorem in Fuzzy Metric Space
IJERA Editor
 
A focus on a common fixed point theorem using weakly compatible mappings
A focus on a common fixed point theorem using weakly compatible mappingsA focus on a common fixed point theorem using weakly compatible mappings
A focus on a common fixed point theorem using weakly compatible mappings
Alexander Decker
 
11.a focus on a common fixed point theorem using weakly compatible mappings
11.a focus on a common fixed point theorem using weakly compatible mappings11.a focus on a common fixed point theorem using weakly compatible mappings
11.a focus on a common fixed point theorem using weakly compatible mappings
Alexander Decker
 
Fixed point theorems in random fuzzy metric space through
Fixed point theorems in random fuzzy metric space throughFixed point theorems in random fuzzy metric space through
Fixed point theorems in random fuzzy metric space through
Alexander Decker
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
Some Common Fixed Point Theorems for Multivalued Mappings in Two Metric Spaces
Some Common Fixed Point Theorems for Multivalued Mappings in Two Metric SpacesSome Common Fixed Point Theorems for Multivalued Mappings in Two Metric Spaces
Some Common Fixed Point Theorems for Multivalued Mappings in Two Metric Spaces
IJMER
 
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
eSAT Journals
 
B043007014
B043007014B043007014
B043007014
inventy
 
B043007014
B043007014B043007014
B043007014
inventy
 
B043007014
B043007014B043007014
B043007014
inventy
 
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...
On Application of the Fixed-Point Theorem to the Solution of Ordinary Differe...
BRNSS Publication Hub
 
A Note on “   Geraghty contraction type mappings”
A Note on “   Geraghty contraction type mappings”A Note on “   Geraghty contraction type mappings”
A Note on “   Geraghty contraction type mappings”
IOSRJM
 
A common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spacesA common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spaces
Alexander Decker
 
Ad

Recently uploaded (20)

ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITY
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITY
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITY
ijscai
 
Smart Storage Solutions.pptx for production engineering
Smart Storage Solutions.pptx for production engineeringSmart Storage Solutions.pptx for production engineering
Smart Storage Solutions.pptx for production engineering
rushikeshnavghare94
 
Oil-gas_Unconventional oil and gass_reseviours.pdf
Oil-gas_Unconventional oil and gass_reseviours.pdfOil-gas_Unconventional oil and gass_reseviours.pdf
Oil-gas_Unconventional oil and gass_reseviours.pdf
M7md3li2
 
Data Structures_Introduction to algorithms.pptx
Data Structures_Introduction to algorithms.pptxData Structures_Introduction to algorithms.pptx
Data Structures_Introduction to algorithms.pptx
RushaliDeshmukh2
 
π0.5: a Vision-Language-Action Model with Open-World Generalization
π0.5: a Vision-Language-Action Model with Open-World Generalizationπ0.5: a Vision-Language-Action Model with Open-World Generalization
π0.5: a Vision-Language-Action Model with Open-World Generalization
NABLAS株式会社
 
Compiler Design_Lexical Analysis phase.pptx
Compiler Design_Lexical Analysis phase.pptxCompiler Design_Lexical Analysis phase.pptx
Compiler Design_Lexical Analysis phase.pptx
RushaliDeshmukh2
 
Introduction to Zoomlion Earthmoving.pptx
Introduction to Zoomlion Earthmoving.pptxIntroduction to Zoomlion Earthmoving.pptx
Introduction to Zoomlion Earthmoving.pptx
AS1920
 
DT REPORT by Tech titan GROUP to introduce the subject design Thinking
DT REPORT by Tech titan GROUP to introduce the subject design ThinkingDT REPORT by Tech titan GROUP to introduce the subject design Thinking
DT REPORT by Tech titan GROUP to introduce the subject design Thinking
DhruvChotaliya2
 
Mathematical foundation machine learning.pdf
Mathematical foundation machine learning.pdfMathematical foundation machine learning.pdf
Mathematical foundation machine learning.pdf
TalhaShahid49
 
Data Structures_Searching and Sorting.pptx
Data Structures_Searching and Sorting.pptxData Structures_Searching and Sorting.pptx
Data Structures_Searching and Sorting.pptx
RushaliDeshmukh2
 
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
charlesdick1345
 
International Journal of Distributed and Parallel systems (IJDPS)
International Journal of Distributed and Parallel systems (IJDPS)International Journal of Distributed and Parallel systems (IJDPS)
International Journal of Distributed and Parallel systems (IJDPS)
samueljackson3773
 
211421893-M-Tech-CIVIL-Structural-Engineering-pdf.pdf
211421893-M-Tech-CIVIL-Structural-Engineering-pdf.pdf211421893-M-Tech-CIVIL-Structural-Engineering-pdf.pdf
211421893-M-Tech-CIVIL-Structural-Engineering-pdf.pdf
inmishra17121973
 
Introduction to FLUID MECHANICS & KINEMATICS
Introduction to FLUID MECHANICS &  KINEMATICSIntroduction to FLUID MECHANICS &  KINEMATICS
Introduction to FLUID MECHANICS & KINEMATICS
narayanaswamygdas
 
Level 1-Safety.pptx Presentation of Electrical Safety
Level 1-Safety.pptx Presentation of Electrical SafetyLevel 1-Safety.pptx Presentation of Electrical Safety
Level 1-Safety.pptx Presentation of Electrical Safety
JoseAlbertoCariasDel
 
Fort night presentation new0903 pdf.pdf.
Fort night presentation new0903 pdf.pdf.Fort night presentation new0903 pdf.pdf.
Fort night presentation new0903 pdf.pdf.
anuragmk56
 
some basics electrical and electronics knowledge
some basics electrical and electronics knowledgesome basics electrical and electronics knowledge
some basics electrical and electronics knowledge
nguyentrungdo88
 
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptxExplainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
MahaveerVPandit
 
Degree_of_Automation.pdf for Instrumentation and industrial specialist
Degree_of_Automation.pdf for  Instrumentation  and industrial specialistDegree_of_Automation.pdf for  Instrumentation  and industrial specialist
Degree_of_Automation.pdf for Instrumentation and industrial specialist
shreyabhosale19
 
MAQUINARIA MINAS CEMA 6th Edition (1).pdf
MAQUINARIA MINAS CEMA 6th Edition (1).pdfMAQUINARIA MINAS CEMA 6th Edition (1).pdf
MAQUINARIA MINAS CEMA 6th Edition (1).pdf
ssuser562df4
 
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITY
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITY
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITY
ijscai
 
Smart Storage Solutions.pptx for production engineering
Smart Storage Solutions.pptx for production engineeringSmart Storage Solutions.pptx for production engineering
Smart Storage Solutions.pptx for production engineering
rushikeshnavghare94
 
Oil-gas_Unconventional oil and gass_reseviours.pdf
Oil-gas_Unconventional oil and gass_reseviours.pdfOil-gas_Unconventional oil and gass_reseviours.pdf
Oil-gas_Unconventional oil and gass_reseviours.pdf
M7md3li2
 
Data Structures_Introduction to algorithms.pptx
Data Structures_Introduction to algorithms.pptxData Structures_Introduction to algorithms.pptx
Data Structures_Introduction to algorithms.pptx
RushaliDeshmukh2
 
π0.5: a Vision-Language-Action Model with Open-World Generalization
π0.5: a Vision-Language-Action Model with Open-World Generalizationπ0.5: a Vision-Language-Action Model with Open-World Generalization
π0.5: a Vision-Language-Action Model with Open-World Generalization
NABLAS株式会社
 
Compiler Design_Lexical Analysis phase.pptx
Compiler Design_Lexical Analysis phase.pptxCompiler Design_Lexical Analysis phase.pptx
Compiler Design_Lexical Analysis phase.pptx
RushaliDeshmukh2
 
Introduction to Zoomlion Earthmoving.pptx
Introduction to Zoomlion Earthmoving.pptxIntroduction to Zoomlion Earthmoving.pptx
Introduction to Zoomlion Earthmoving.pptx
AS1920
 
DT REPORT by Tech titan GROUP to introduce the subject design Thinking
DT REPORT by Tech titan GROUP to introduce the subject design ThinkingDT REPORT by Tech titan GROUP to introduce the subject design Thinking
DT REPORT by Tech titan GROUP to introduce the subject design Thinking
DhruvChotaliya2
 
Mathematical foundation machine learning.pdf
Mathematical foundation machine learning.pdfMathematical foundation machine learning.pdf
Mathematical foundation machine learning.pdf
TalhaShahid49
 
Data Structures_Searching and Sorting.pptx
Data Structures_Searching and Sorting.pptxData Structures_Searching and Sorting.pptx
Data Structures_Searching and Sorting.pptx
RushaliDeshmukh2
 
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
charlesdick1345
 
International Journal of Distributed and Parallel systems (IJDPS)
International Journal of Distributed and Parallel systems (IJDPS)International Journal of Distributed and Parallel systems (IJDPS)
International Journal of Distributed and Parallel systems (IJDPS)
samueljackson3773
 
211421893-M-Tech-CIVIL-Structural-Engineering-pdf.pdf
211421893-M-Tech-CIVIL-Structural-Engineering-pdf.pdf211421893-M-Tech-CIVIL-Structural-Engineering-pdf.pdf
211421893-M-Tech-CIVIL-Structural-Engineering-pdf.pdf
inmishra17121973
 
Introduction to FLUID MECHANICS & KINEMATICS
Introduction to FLUID MECHANICS &  KINEMATICSIntroduction to FLUID MECHANICS &  KINEMATICS
Introduction to FLUID MECHANICS & KINEMATICS
narayanaswamygdas
 
Level 1-Safety.pptx Presentation of Electrical Safety
Level 1-Safety.pptx Presentation of Electrical SafetyLevel 1-Safety.pptx Presentation of Electrical Safety
Level 1-Safety.pptx Presentation of Electrical Safety
JoseAlbertoCariasDel
 
Fort night presentation new0903 pdf.pdf.
Fort night presentation new0903 pdf.pdf.Fort night presentation new0903 pdf.pdf.
Fort night presentation new0903 pdf.pdf.
anuragmk56
 
some basics electrical and electronics knowledge
some basics electrical and electronics knowledgesome basics electrical and electronics knowledge
some basics electrical and electronics knowledge
nguyentrungdo88
 
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptxExplainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
MahaveerVPandit
 
Degree_of_Automation.pdf for Instrumentation and industrial specialist
Degree_of_Automation.pdf for  Instrumentation  and industrial specialistDegree_of_Automation.pdf for  Instrumentation  and industrial specialist
Degree_of_Automation.pdf for Instrumentation and industrial specialist
shreyabhosale19
 
MAQUINARIA MINAS CEMA 6th Edition (1).pdf
MAQUINARIA MINAS CEMA 6th Edition (1).pdfMAQUINARIA MINAS CEMA 6th Edition (1).pdf
MAQUINARIA MINAS CEMA 6th Edition (1).pdf
ssuser562df4
 
Ad

Fixed Point Theorem in Fuzzy Metric Space Using (CLRg) Property

  • 1. International Journal of Engineering Science Invention ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726 www.ijesi.org ||Volume 5 Issue 4|| April 2016 || PP.35-39 www.ijesi.org 35 | Page Fixed Point Theorem in Fuzzy Metric Space Using (CLRg) Property Smt. Preeti Malviya1 , Dr.Vandna Gupta2 &Dr. V.H. Badshah3 1 Govt. New Science College , Dewas (M.P.) ,455001, India 2 Govt. Kalidas Girl's College, Ujjain (M.P.) 456010, India 3 School of Studies in Mathematics,Vikram University, Ujjain(M.P), 456010,India ABSTRACT: The object of this paper is to establish a common fixed point theorem for semi-compatible pair of self maps by using CLRg Property in fuzzy metric space. 2010 Mathematics Subject Classification : 54H25, 47H10. keywords: Common fixed point, fuzzy metric space , Semi compatible maps , Weakly compatible maps, CLRg Property. l. INTRODUCTION Zadeh' s [1 ] introduced the fuzzy set theory in 1965. Zadeh's [ 1 ] introduction of the notion of fuzzy set laid the foundation of fuzzy mathematics . Sessa [2 ] has introduced the concept of weakly commuting and Jungck [ 3] initiated the concept of compatibility. In , 1988 , Jungck and Rhoades [4 ] introduced the notion of weakly compatible . The concept of fuzzy metric space introduced by kramosil and Mishlek [ 5 ] and modified by George and Veramani [ 6 ]. In 2009, M. Abbas et. al. [7] introduced the notion of common property E.A. B.Singh et. al. [8] introduced the notion of semi compatible maps in fuzzy metric space . Recently in 2011 , Sintunavarat and Kuman [ 9] introduced the concept of common limit in the range property . Chouhan et.al. [10 ] utilize the notion of common limit range property to prove fixed point theorems for weakly compatible mapping in fuzzy metric space . II. PRELIMINARIES Definition 2.1 [ 11 ] Let X be any set . A Fuzzy set A in X is a function with domain X and Values in [ 0,1]. Definition 2.2[ 6] A Binary operation * : [0,1] ×[0,1] →[0,1] is called a continuous t-norms if an topological monoid with unit 1 such that a*b≤ c*d whenever a≤c and b≤d , for all a,b,c,d in [0,1]. Examples of t – norms are a*b = ab and a*b =min {a,b}. Definition 2.3[ 6 ] The triplet ( X,M, *) is said to be a Fuzzy metric space if , X is an arbitrary set , * is a continuous t- norm and M is a fuzzy set on X2 ×(0,∞) satisfying the following conditions; for all x,y,z in X and s,t > 0, (i) M(x,y,0) = 0 , M(x,y,t)>0, (ii) M(x,y,t) = 1 ,for all t > 0 if and only if x=y, (iii) M(x,y,t) = M(y,x,t), (iv) M(x,y,t) * M( y,z,s) ≤ M( x,z, t+s), (v) M(x,y,t) : [ 0,∞ ) →[0,1] is left continuous. Example 2.1 [ 6] Let (X,d) be a metric space . Define a*b = min {a,b} and M(x,y,t) = t / t + d(x,y) for all x,y ∈ X and all t > 0 . Then (X,M, *) is a fuzzy metric space . It is called the fuzzy metric space induced by the metric d. Definition 2.4 [ 6 ] A sequence {xn} in a fuzzy metric space (X,M,*) is called a Cauchy Sequence if , lim n→∞ M ( Xn+p,Xn,t) = 1 for every t.>0 and for each p>0. A fuzzy metric space(X, M,*) is Complete if ,every Cauchy sequence in X converge to X. Definition 2.5[6 ] A sequence {Xn } in a fuzzy metric space ( X,M,*) is said to be Convergent to x in X if , limn→∞M( Xn,X, t) = 1 , for each t>0. Definition 2.6 [12] Two self mappings P and Q of a fuzzy metric space (X,M,*) are said to be Compatible , if limn→∞M(PQxn,QPxn,t) =1 whenever {xn} is a sequence such that limn→∞Pxn = limn→∞ Qxn = z , for some z in X . Definition 2.7 [ 13 ] Self maps A and S of a Fuzzy metric space (X,M,*) are said to be Weakly Compatible if they commute at their coincidence points, if, AP=SP for some pєX then ASp=SAp.
  • 2. Fixed Point Theorem in Fuzzy Metric Space… www.ijesi.org 36 | Page Lemma 2.1 [ 8 ] Let {yn} is a sequence in an FM- space . If there exists a positive number k<1 such that M(yn+2, yn+1 , kt) ≥ M( yn+1, yn,t) , t>0 , n 𝜖 N, then {yn} is a Cauchy sequence in X . Lemma 2.2 [ 8 ] If for two points x, y in X and a positive number k < 1 M(x,y,kt) ≥ M(x,y,t) , then x = y. Lemma 2.3 [ 14] For all x,y ∈ X , M(x,y,.) is a non – decreasing function. Definition 2.8 [ 8 ] A pair (A,S) of self maps of a fuzzy metric space (X,M,*) is said to be Semi compatible if limn→∞ ASxn = Sx , whenever {xn} is a sequence such that limn→∞ Axn = limn→∞ Sxn = x , for some x ∈ X . It follows that (A,S) is semi compatible and Ay = Sy then ASy = SAy Example 2.2 Let X = [ 0,1] and (X,M, t) be the induced fuzzy metric space with M (x,y,t) = t / t +│x-y│. Define self maps P and Q on X as follows : 2 , if 𝜃 ≤ x ≤ 1 2 , if x=1 Px= x/2, if 1< x≤ 2 and Qx = x+ 3/5 . if 1 < x≤ 2 And xn = 2 – 1/ 2n . Then we have P (1) = Q(1)= 2 and S(2) = A(2) = 1. PQ(1) =QP(1) =1 and PQ(2) = QP(2) = 2 . Hence Pxn→1 and Qxn→1 and QPxn→1, as n→∞. Now , limn→∞ M (PQxn, Qy, t ) = M(2,2,t) = 1 limn→∞ M(PQxn, QPxn,t) = M(2,1,t) = t / 1+t < 1. Hence (P,Q) is semi compatible but not compatible. Definition 2.9 [ 9 ] A pair of self mapping P and Q of a fuzzy metric space (X,M,*) is said to satisfy the (CLRg) property if there exists a sequence {xn} in X such that limn→∞ Pxn = limn→∞ Qxn = Qu , for some u ∈ X . Definition 2.10 [ 9 ] Two pairs (A,S) and (B,T) of self mappings of a fuzzy metric Space (X,M, *) are said to satisfy the (CLRST) property if there exist two sequence {xn} and {yn} in X such that limn→∞ Axn = limn→∞ Sxn = limn→∞ Byn = limn→∞ Tyn = Sz, for some z 𝜖 S(X) and z 𝜖 T(X). Definition 2.11 [ 9 ] Two pairs (A,S) and (B,T) of self mappings of a fuzzy metric Space (X,M, *) are said to share CLRg of S property if there exist two sequence {xn} and {yn} in X such that limn→∞ Axn = limn→∞ Sxn = limn→∞ Byn = limn→∞ Tyn = Sz, for some z 𝜖 X. Proposition 2.1 [ 4 ] In a fuzzy metric space (X,M,*) limit of a sequence is unique. Example 2.3 Let X = [ 0,∞) be the usual metric space . Define g , h : X→X by gx = x+ 3 and gx = 4x , for all x 𝜖 X . We consider the sequence {xn} = { 1 + 1/n }. Since , limn→∞ gxn = limn→∞ hxn = 4 = h(1) 𝜖 X . Therefore g and h satisfy the (CLRg) property. Lemma 2.4 Let A, B , S and T be four self mapping of a fuzzy metric space (X,M,*) Satisfying following 1. The pair (A,S) ( or (B,T) ) satisfies the common limit in the range of S property (or T property ) 2. There exists a constant k 𝜖 (0,1) such that ( M( Ax,By, Kt )) 2 ≥ min (( M( Sx,Ty,t ))2 , M(Sx,Ax,t ), M(Sx,By,2t),M(Ty,Ax,t) M(Sx,By,2t), M(Ty,By,t) ), For all x,y ∈ X and t > 0 3. A(X) ⊆T(X) ( or B(X) ⊆S(X) ) . Then the pairs (A,S) and (B,T) share the common limit in the range property. Singh and Jain [ 8] proved the following results. Theorem 2.1 Let A,B,S and T be self maps on a complete fuzzy metric space (X,M,*) Satisfying 1. A(X) ⊂ T(X) , B(X) ⊂ T(X) 2. One of A and B is continuous. 3. (A,S) is semi compatible and (B,T) is weak compatible. 4. For all x,y ∈ X and t > 0 M(Ax,Bx,t) ≥ r ( M ( Sx,Ty,t) ), Where r : [0,1]→[0,1] is a continuous function such that r(t) > t , for each 0< t<1 . Then A,B,S and T have a unique common fixed point.
  • 3. Fixed Point Theorem in Fuzzy Metric Space… www.ijesi.org 37 | Page III. MAIN RESULT In the following theorem we replace the continuity condition by using (CLRg) property. Theorem 3.1 Let A, B, S and T be self mapping on a complete fuzzy metric space (X,M,*), where * is a continuous t – norm definied by ab = min [a,b] satisfying ( i) A(X) ⊆ T (X) , B(X) ⊆ S(X). (ii) (B,T) is semi compatible , (iii) Then for all x,y ∈ X and t > 0 . M ( Ax, By, kt ) ≥ 𝜙 [ min ( M ( Sx , Ty ,t) , { M(Sx,Ax,t) . M(By,Ty,t) } , ½ ( M ( Ax, Ty,t ) + M(By,Ax,t) ] Where 𝜙 : [0,1] → [0,1] is a continuous function such that 𝜙 (1) = 1 , 𝜙 (0) = 0 and 𝜙 (b) = b , for 0 < b<1. If the pair (A,S ) and ( B, T) share the common limit in the range of S property , then A, B, S and T have a unique common fixed point Proof –Let x0 be any arbitrary point for which there exist two sequences {xn} and {yn} in X such that y2n+1 = Ax2n = Tx2n+1 and y2n+2 = Bx2n+1 = Sx2n+2, for n= 0,1,2,… Now, M(y2n+1,y 2n+2,kt) = M(Ax2n,Bx 2n+1,kt) ≥ 𝜙 [ min ( M(( Sx2n,Tx 2n+1 , t ) ,{ M( Sx2n A,x 2n ,t . M( Bx2n+1,Tx 2n+! , t)}, ½ (M ( Ax2n, T2n+1,t ) + M( Bx2n+1,Ax 2n,t ) )] ≥ 𝜙 [min (M(y2n,y 2n+1, t ), { M(y2n, y2n+1 ,t) . M( y2n+2, y2n+1 ,t) }, ½ ( M( y2n+1 ,y 2n+1,t) + M( y2n+2,y 2n+1,t )) ] M(y2n+1,y 2n+2,kt) > M( y2n, y2n+1,t ) Similarly, we can proved M(y2n+2, y2n+3,t) > M(y2n+1,y 2n+2,t) In general , M(yn+1,y n ,t) > M (yn,y n+1,t) Thus, from this we conclude that { M ( yn+1,y n,t ) is an increasing sequence of positive real numbers in [ 0,1] and tends to limit l≤1 . If l < 1, then M(yn+1,yn ,t ) ≥ 𝜙 ( M ( yn, yn+1, t ), Letting n→∞ , we get limn→∞ M(yn+1,yn ,t ) ≥ 𝜙 [ lim n→∞ M ( yn, yn+1, t ) ] l ≥ 𝜙(l) =l ( Since 𝜙(b) > b ) a contradiction . Now for any positive integer q M(yn,y n+q,t) ≥ M( yn, yn+1, yn+q ,t /2(q-1)+1 ) * M( yn+1,y n+2 ,yn+q ,t/2(q-1)+1)*…* M(yn+q+1, yn+q , t/ 2(q-1)+1) Taking limit, we get limn→∞ M(yn,y n+q,t) ≥ limn→∞ M( yn, yn+1, yn+q ,t /2(q-1)+1 ) * llimn→∞M( yn+1,y n+2 ,yn+q ,t/2(q- 1)+1)*…* lim n→∞ M( yn+q+!, yn+q, t / 2 (q-1)+1 ) Limn→∞ M (yn,y n+q,t ) ≥ 1*1*1*….*1=1 Which means {yn} is a Cauchy sequence in X . Since X is complete , then yn→z in X. That is { Ax2n} , {Tx2n+1}, {Bx2n+1} and {Sx2n} also converges to z in X. Since, the pair (A,S) and (B,T) share the common limit in the range of S property , then there exist two sequences {xn} and {yn} in X such that limn→∞ Axn = limn→∞ Sxn = limn→∞ Byn = limn→∞ Tyn = Sz, , for some z 𝜖 X. First we prove that Az= Sz By (3.3) , putting x= z and y= yn , we get M(Az,Byn,kt) ≥ ∅ [ min ( M ( Sz, Tyn,t ), { M( Sz,Az,t) .M(Byn, Tyn,t) }, ½ ( M ( Az, Tyn, t ) + M( Byn, Az,t)) ] Taking limit n→∞ , we get M(Az,Sz,kt) ≥ ∅ [ min ( M( Sz, Sz, t) , { M (Sz,Az,t) . M(Sz,Sz,t) }, ½( M (Az,Sz,t ) + M(Sz,Az,t) ) ] ≥ ∅ [ min ( 1, { M(Sz, Az,t) . 1 }, M(Sz,Az,t) ] M(Az,Sz,kt) ≥ M ( Sz, Az,t ) Hence by Lemma 2.2 , we get Az= Sz …(1) Since , A(X) ⊆ T(X) , therefore there exist u ∈ X , such that Az=Tu …(2) Again , by inequality (iii), putting x=z and y= u , we get M(Az,Su,kt) ≥ ∅ [ min ( M( Sz, Tu, t) , { M (Sz,Az,t) . M(Bu,Tu,t) }, ½( M (Az,Tu,t ) + M(Bu,Az,t) ) ] Using (1) and (2) , we get M(Tu, Bu,kt) ≥ ∅ [ min ( M( Az, Tu, t ) , { M (Az,Az,t) . M(Bu, Tu, t) }, ½ ( M ( Az,Az,t) + M( Bu, Tu,t) ) ]
  • 4. Fixed Point Theorem in Fuzzy Metric Space… www.ijesi.org 38 | Page ≥ ∅ [ min M(Tu,Tu,t) , { 1. M(Bu, Tu,t) } , M (Bu,Tu,t)] M(Tu,Bu,kt) ≥ M (Bu, Tu,t) Hence , by Lemma 2.2 , we get Tu=Bu …(3) Thus , from (1),(2) and (3) , we get Az= Sz= Tu = Bu …(4) Now , we will prove that Az= z By inequality(iii), putting x= z and y = x2n+1 , we get M(Az,Bx2n+! ,kt) ≥ ∅ [ min ( M(Sz,Tx2n+1,t) , { M(Sz,Az,t) . M(Bx2n+1,Tx 2n+1,t) } ½( M(Az, Tx2n+1,t) + M(Bx2n+1,Az,t) )] Taking limit n →∞ , using (1) , we get M(Az,z,t) ≥ ∅ [ min ( M(Sz,z,t), { M(Az,Az,t) . M(z,z,t) }, ½ ( M(Az,z,t)+ M(z,Az,t))] M(Az,z,t) ≥ ∅ [ min (M(Az,z,t), { 1,1} , M(Az,z,t) ] M(Az,z,t) ≥ M(Az,z,t) Hence , by Lemma 2.2 , we get Az=z Thus , from (4), we get z= Tu=Bu Now , Semi compatibility of (B,T) gives BTy2n+1 →Tz , i.e. Bz=Tz. Now, putting x=z and y= z in inequality (iii), we get M(Az, Bz,t ) ≥ ∅ [ min (M( Sz,Tz,t) , { M (Sz,Az,t) .M(Bz,Tz,t) } , 1/2 (M( Az,Tz,t )+ M(Bz,Az,t)) ] M(Az, Bz,t ) ≥ ∅ [ min (M( Az,Bz,t) , { M (Az,Az,t) .M(Tz,Tz,t) } , 1/2 (M( Az,Bz,t )+ M(Bz,Az,t)) ] M(Az,Bz,t) ≥ M(Az,Bz,t) Hence , by Lemma 2.2 , we get Az=Bz. And, hence Az= Bz = z. Combining ,all result we get z= Az=Bz=Sz=Tz. From, this we conclude that z is a common fixed point of A,B,S and T. Uniquness Let z1 be another common fixed point of A,B,S and T. Then z1 = Az1 = Bz1 =Sz1 = Tz1 , and z =Az=Bz=Sz=Tz Then, by inequality ( iii) , putting x=z and y =z1,we get M(z,z1,kt) = M(Az,Bz1,t) ≥ ∅ [ min ( M(Sz, Tz1, t), {M(Sz,Az,t) . M(Bz1,Tz1,t)}, ½ (M( Az, Tz1,t ) + M(Bz1,Az,t))] ≥ ∅ [ min ( M (z,z1,t) , { M(z,z,t) . M(z1,z1,t) }, ½ (M(z,z1,t) + M(z1,z,t)) ] ≥ ∅ [ min (M(z,z1,t) , 1, M(z,z1,t) M(z,z1,t) ≥ M(z,z1,t) Hence, from Lemma 2.2 , we get z=z1 Thus z is the unique common fixed point of A, B, S and T. Corollary 3.2 Let (X,M,*) be complete fuzzy metric space . suppose that the mapping A, B,S and T are self maps of X satisfying( i-ii) conditions and there exist k∈ (0,1) such that M(Ax,By,kt) ≥ M(Sx,Ty,t), M(Ax,Sx,t), M(By,Ty,t), M(By,Sx,2t), M(Ax,Ty,t) For every x,y ∈ X , t> 0 . Then A,B,S and T have a unique common fixed point in X. Corollary3.3 Let (X,M,*) be complete fuzzy metric space . suppose that the mapping A, B,S and T are self maps of X satisfying (i-ii) conditions and there exist k∈ (0,1) such that M(Ax,By,kt) ≥ M(Sx,Ty,t), M(Sx,Ax,t), M(Ax,Ty,t) For every x,y ∈ X , t> 0 . Then A,B,S and T have a unique common fixed point in X. IV. ACKNOWLEDGEMENTS The authors are grateful to the referees for careful reading and corrections. REFERENCES [1] L.A. Zadeh, Fuzzy Sets, Inform. and Control ,89, 1965, 338-353. [2] S. Sessa , On a weak commutativity condition of mapping in fixed point consideration Publ. Inst. Math., 32(46), 1982, 149-153. [3] G. Jungck , Compatible mapping and common fixed points, Int. J. Math. Sci.,9 ,1986, 771-779. [4] G. Jungck , B.E. Rhoades , Fixed point theorems for Occasionally weakly compatible Mappings , Fixed point Theory , 7(2), 2006, 287-296. [5] O. Kramosil, J. michalek , Fuzzy metric and statistical metric spaces , Kybernetka, 11, 1975, 326-334. [6] A. George ,P. Veeramani , On some result in fuzzy metric spaces, Fuzzy sets and System, 27,1994,395-399. [7] M. Abbas , I. Altun , D. Gopal, common fixed point theorems for non compatible Mappings in fuzzy metric spaces, Bull. Math.Appl, 1(2), 2009, 47-56.
  • 5. Fixed Point Theorem in Fuzzy Metric Space… www.ijesi.org 39 | Page [8] B. Singh ,S. jain , Generalized theorems on Fuzzy metric spaces, southeast Asian Bulletin of Math., 33,2007, 963-978. . [9] W. Sintunavarat , P.Kuman ,Common fixed theorems for a pair of weakly compatible Mappings in fuzzy metric spaces, J. Appl. Math, 14, 2011. [10] M. S. Chouhan,W. Sintunavarat,P. Kumam Common fixed points theorems for Weakly compatible mappings in fuzzy metric space using (JCLR) property, Appl. Math., 3(9) , 2012, 976-982. [11] R. Vasuki , Common fixed point for R- weakly commuting mappings in fuzzy Metric spaces , Indian J. Pure and Appl. Math. , 30, 1999,419. [12] P. Balasubramaniam, R.P. Pant , Common fixed point of four mappings in a fuzzy Metric spaces, J. Fuzzy Math. 10, 2002, 379. [13] G. Jungck ,P.P. murthy, Y.J.Cho, Compatible mappings of type (A) and common Fixed point , Math., Japonica,38, 1993, 381- 390. [14] G. Grabiec, fixed point in fuzzy metric spaces, Fuzzy sets and system, 27, 1998,385.