An Altering Distance Function in Fuzzy Metric Fixed Point Theorems

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ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume - 1 | Issue – 5
International Journal of Trend in Scientific
Research and Development (IJTSRD)
UGC Approved International Open Access Journal
An Altering Distance Function in Fuzzy Metric
Fixed Point Theorems
Dr C Vijender
Dept of Mathematics,
Sreenidhi Institute of Sciece and Technology,
Hyderabad, India
ABSTRACT
The aim of this paper is to improve conditions
proposed in recently published fixed point results for
complete and compact fuzzy metric spaces. For this
purpose, the altering distance functions are used.
Moreover, in some of the results presented the class
of t-norms is extended by using the theory of
countable extensions of t-norms.
Keywords: Fixed point, Cauchy sequence, t-norm,
altering distance, fuzzy metric space
1. Introduction and Preliminaries:
In the fixed point theory in metric space an important
place occupies the Banach contraction principle [1].
The mentioned theorem is generalized in metric
spaces as well as in its various generalizations. In
particular, the Banach contraction principle is
observed in fuzzy metric spaces. There are several
definitions of the fuzzy metric space [2–4]. George
and Veeramani introduced the notion of a fuzzy
metric space based on the theory of fuzzy sets,
earlier introduced by Zadeh [5], and they obtained a
Hausdorff topology for this type of fuzzy metric
spaces [2, 3].
Recently, Shen et al. [6] introduced the notion of
altering distance in fuzzy metric space (X,M,T) and
by using the contraction condition
φ(M(fx, fy, t))≤k(t)⋅φ(M(x, y, t)), x, y∈X, x≠y, t>0,
(1)
Obtained fixed point results for f: X→X. Using the
same altering distance in this paper several fixed
point results are proved in complete and compact
fuzzy metric spaces introducing stronger contraction
conditions than (1). Likewise, the contraction
condition given in [7] is improved by using the
altering distance, as well as by extending the class
of t-norms.
First, the basic definitions and facts are reviewed.
Definition 1.1
A mapping T:[0,1]×[0,1]→[0,1] is called a triangular norm (t-norm) if the following conditions are satisfied:
1. (T1) T(a,1)=a, a∈[0,1],

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
2. (T2) T(a, b)=T(b, a), a, b∈[0,1],
3. (T3) a≥b, c≥d⇒T(a, c)≥T(b, d), a, b, c, d∈[0,1],
4. (T4)T(a,T(b,c))=T(T(a,b),c), a,b,c∈[0,1].
Basic examples are TP(x, y)=x⋅y, TM(x, y)=min{x, y}, TL(x, y)=max{x+y−1,0}, and
TD(x, y) ={min(x, y),0,max(x, y)=1}, otherwise.TD(x,
y) =



otherwise0,
1,=y)max(x,y),min(x,
Definition 1.2
A t-norm T is said to be positive if T(a, b)>0 whenever a, b∈(0,1].
Definition 1.3
[2, 3] The 3-tuple (X, M, T) is said to be a fuzzy metric space if X is an arbitrary set, T is a continuous t-
norm, and M is a fuzzy set on X2
×(0,∞) such that the following conditions are satisfied:
(FM1) M(x, y, t)>0, x, y∈X, t>0,
(FM2) M(x, y, t)=1, t>0⇔x=y,
(FM3 )M(x, y, t)=M(y, x, t), x, y∈X, tt>0,
(FM4) T(M(x, y, t),M(y, z, s))≤M(x, z, t+s), x, y, z∈X, t, s>0,
(FM5 )M(x, y,⋅):(0,∞)→[0,1] is continuous for every x, y∈X.
If (FM4) is replaced by condition
(FM4′)T(M(x, y, t),M(y, z, t))≤M(x, z, t), x, y, z∈X, t>0,
then (X, M, T) is called a strong fuzzy metric space.
Moreover, if (X,M,T) is a fuzzy metric space, then M is a continuous function on X×X×(0,∞) and M(x,y,⋅) is
non-decreasing for all x, y∈X.
If (X,M,T) is a fuzzy metric space, then M generates the Hausdorff topology on X (see [2, 3]) with a base of
open sets {U(x, r, t):x∈X, r∈(0,1),t>0, where U(x, r, t)={y:y∈X,M(x, y, t)>1−r}.
Definition 1.4
[2, 3]Let (X, M, T) be a fuzzy metric space.
1. (a) A sequence {xn}n∈N is a Cauchy sequence in (X, M, T) if for each ε∈(0,1) and each t>0 there exist
n0=n0(ε, t)∈N such that M(xn, xm, t)>1−ε, for all n, m≥n0.
2. (b) A sequence {xn}n∈N converges to x in (X, M, T) if for each ε∈(0,1) and each t>0there
exists n0=n0(ε,t)∈N such that M(xn, x, t)>1−ε for all n≥n0. Then we say that {xn}n∈N is convergent.
3. (c) A fuzzy metric space (X, M, T) is complete if every Cauchy sequence in (X, M, T) is convergent.

4. (d) A fuzzy metric space is compact if every sequence in X has a convergent subsequence.
It is well known [2] that in a fuzzy metric space every compact set is closed and bounded.
Definition 1.5
[8] Let T be a t-norm and Tn:[0,1]→[0,1], n∈N, be defined in the following way:
T1(x)=T(x, x),Tn+1(x)=T(Tn(x), x), n∈N, x∈[0,1].
We say that the t-norm T is of H-type if the family {Tn(x)}n∈N is equi-continuous at x=1.
Each t-norm T can be extended in a unique way to an n-ary operation taking for (x1,…,xn)∈[0,1]n
the values
ii xT 0
1 =1, i
n
i xT 1 =T( i
n
i xT 1
1

 , xn).
A t-norm T can be extended to a countable infinite operation taking for any sequence (xn)n∈N from [0, 1] the
value
ii xT 
1 =limn→∞ i
n
i xT 1 .
The sequence ( i
n
i xT 1 )n∈N is non-increasing and bounded from below, hence the limit ii xT 
1 exists.
In the fixed point theoryit is of interest to investigate the classes of t-norms T and sequences (xn) from the
interval [0, 1] such that limn→∞xn=1 and
limn→∞ ini xT 
 =limn→∞ inni xT 

 . (2)
It is obvious that
 =1⇔ 



1
)1(
i
ix <∞ (3)
for T=TL and T=TP. (4)
For T≥TL we have the following implication:
 =1⇔ 



1
)1(
i
ix <∞. (5)
Proposition 1.7
Let(xn)n∈N be a sequence of numbers from [0, 1] such that limn→∞xn=1and the t-norm T is of H-type. Then
limn→∞
ini xT 
 =limn→∞
inni xT 

 = 1.
Theorem 1.8
Let(X, M, T) be a fuzzy metric space, such that limt→∞M(x, y, t)=1. Then if for some σ0∈(0, 1)and somex0,
y0∈X the following hold:
limn→∞ )
1
,,(
0
00 ini yxMT


 =1,
then imn→∞
)
1
,,( 00 ini yxMT



=1, for every σ∈(0,1).

2. Main results:
A function φ:[0,1]→[0,1] is called an altering distance function if it satisfies the following properties:
1. (AD1) φ is strictly decreasing and continuous;
2. (AD2) φ(λ)=0 if and only if λ=1.
It is obvious that limλ→1
−
φ(λ)=φ(1)=0.
Theorem 2.1
Let(X, M, T)be a complete fuzzy metric space, Tbe a triangular norm and f:X→X. If there exist k1,
k2:(0,∞)→(0,1), and an altering distance functionφsuch that the following condition:
The following condition
φ(M(fx, fy, t)) ≤ k1(t)⋅min{φ(M(x, y, t)), φ(M(x, fx, t)), φ(M(x, fy, 2t)), φ(M(y, fy, t))} +k2(t)⋅φ(M(fx, y, 2t), x,
y∈X, x≠y, t>0, (6)
is satisfied, then f has a unique fixed point.
Proof
We observe a sequence {xn},where x0∈X and xn+1=fxn, n∈N∪{0}. Note that, if there exists n0∈N∪{0} such
that 0nx = 10 nx =f 0nx , then 0nx is a fixed point of f. Further, we assume that xn≠xn+1, n∈N0. Then
0<M(xn, xn+1, t)<1, t>0, n∈N0. (7)
If the pair x=xn−1, y=xn satisfy condition (6) then
φ(M(xn,xn+1,t))≤k1(t)⋅min{φ(M(xn−1,xn,t)),φ(M(xn−1,xn,t)),φ(M(xn−1,xn+1,2t)),φ(M(xn,xn+1,t))}
+k2(t)⋅φ(M(xn,xn,2t))
= k1(t)⋅min{φ(M(xn−1,xn,t)),φ(M(xn−1,xn+1,2t)),φ(M(xn,xn+1,t))},n∈N,t>0. (8)
By (FM4) and (AD1) we have
φ(M(xn−1,xn+1,2t))≤φ(T(M(xn−1,xn,t),M(xn,xn+1,t))), n∈N, t>0,
and further
φ(M(xn,xn+1,t))≤k1(t)⋅min{φ(M(xn−1,xn,t)),φ(T(M(xn−1,xn,t),M(xn,xn+1,t))),φ(M(xn,xn+1,t))}, n∈N, t>0.
(9)
Note that, by (T1), (T2), and (T3), it follows that
a=T(a,1)≥T(a, b) and b=T(b,1)≥T(a, b)
and
min{φ(a), φ(b), φ(T(a, b))}=min{φ(a), φ(b)}, a, b∈[0, 1].
Then by (9) we have
φ(M(xn,xn+1,t))≤k1(t)⋅min{φ(M(xn−1,xn,t)),φ(M(xn,xn+1,t))}, n∈N, t>0. (10)
If we suppose that
min{φ(M(xn−1,xn,t)),φ(M(xn,xn+1,t))}=φ(M(xn,xn+1,t)), n∈N, t>0,
then
φ(M(xn,xn+1,t))≤k1(t)⋅φ(M(xn,xn+1,t))<φ(M(xn,xn+1,t)), n∈N, t>0.
So, by contradiction it follows that
min{φ(M(xn−1,xn,t)),φ(M(xn,xn+1,t))}=φ(M(xn−1,xn,t)), n∈N, t>0,
and by (10) we get

φ(M(xn,xn+1,t))≤k1(t)⋅φ(M(xn−1,xn,t))<φ(M(xn−1,xn,t)), n∈N, t>0. (11)
By (AD1) and it follows that the sequence {M(xn,xn+1,t)} is strictly increasing with respect to n, for every t>0.
This fact, together with (7), implies that
limn→∞M(xn,xn+1,t)=a(t), a:(0,∞)→[0,1]. (12)
But if we suppose that a(t)≠1, for some t>0, and let n→∞ in (11) we get a contradiction:
φ(a(t))≤k1(t)⋅φ(a(t))<φ(a(t)). (13)
So, a≡1 in (12). Now we will show that the sequence {xn} is a Cauchy sequence. Suppose the
contrary, i.e. that there exist 0<ε<10<ε<1, t>0, and two sequences of
integers {p(n)}, {q(n)}, p(n)>q(n)>n, n∈N∪{0}, such that
M(xp(n),xq(n),t)≤1−ε and M(xp(n)−1,xq(n),t)>1−ε. (14)
By (12) for every ε1, 0<ε1<ε0, it is possible to find a positive integer n1, such that for all n>n1,
M(xp(n),xp(n)−1,t)≥1−ε1andM(xq(n),xq(n)−1,t)≥1−ε1. (15)
Then we have
M(xp(n)−1,xq(n)−1,t)≥T(M(xp(n)−1,xq(n),
2
t
),M(xq(n),xq(n)−1,
2
t
)), n∈N. (16)
Now using (14), (15), (16), and (T3) we have
M(xp(n)−1,xq(n)−1,t)≥T(1−ε,1−ε1), n>n1. (17)
Since ε1is arbitrary and T is continuous we have
M(xp(n)−1,xq(n)−1,t)≥T(1−ε,1)=1−ε, n>n1. (18)
Similarly, by (15) and (18)
M(xp(n),xq(n)−1,t)≥1−ε and M(xp(n),xq(n),t)≥1−ε, n>n1. (19)
By (14) and (19) it follows that
limn→∞M(xp(n),xq(n),t)=1−ε. (20)
If the pair x=xp(n)−1, y=xq(n)−1 satisfy condition (6) then
φ(M(xp(n),xq(n),t))≤k1(t)⋅min{φ(M(xp(n)−1,xq(n)−1,t)),φ(M(xp(n)−1,xp(n),t)),φ(M(xp(n)−1,xq(n),2t)),φ(M(xq(n)−1,xq(n),t))} +
k2(t)⋅φ(M(xp(n),xq(n)−1,2t)). (21)
Letting n→∞, by (12), (14), (19), and (20), we have
φ(1−ε)≤k1(t)⋅min{φ(1−ε),φ(1),φ(1−ε),φ(1)}+k2(t)⋅φ(1−ε)<φ(1−ε). (22)
This is a contradiction. So {xn} is a Cauchy sequence.
Since (X, M, T) is a complete fuzzy metric space there exists x∈X such that limn→∞xn=x. Let us prove, by
contradiction, that x is fixed point for f. Suppose that x≠fx.
If the pair x=x, y=xn−1satisfy condition (6) then
φ(M(fx,xn,t))≤k1(t)⋅min{φ(M(x,xn−1,t)),φ(M(x,fx,t)),φ(M(x,xn,2t)),φ(M(xn−1,xn,t))}+k2(t)⋅φ(M(fx,xn−1,2t)), n∈N,
t>0. (23)
Letting n→∞ in (23) we have
φ(M(fx,x,t))≤k1(t)⋅min{φ(M(x,x,t)),φ(M(x,fx,t)),φ(M(x,x,2t))} +k2(t)⋅φ(M(fx,x,2t))<φ(M(fx,x,2t)) <
φ(M(fx,x,t)), t>0.
So, by contradiction we conclude that x=fx.

Assume now that there exists another fixed point v, v≠x. Then applying (6) we have
φ(M(x,v,t))≤k1(t)⋅min{φ(M(x,v,t)),φ(M(x,x,t)),φ(M(x,v,2t)),φ(M(v,v,t))}
+k2(t)⋅φ(M(x,v,2t))<φ(M(x,v,2t))<φ(M(x,v,t)),t>0. (24)
So, we get a contradiction, and x is a unique fixed point of the function f.
Theorem 2.2
Let (X, M, T) be a complete fuzzy metric space and f:X→X. If there exist
k1,k2:(0,∞)→[0,1), k3:(0,∞)→(0,1), 
3
1
)(
i
i tk <1, and an altering distance functionφsuch that the following
condition is satisfied:
φ(M(fx,fy,t))≤k1(t)⋅φ(M(x,fx,t))+k2(t)⋅φ(M(y,fy,t))+k3(t)⋅φ(M(x,y,t)) (25)
for all x, y∈X, x≠y, and t>0, then f has a unique fixed point.
Proof
Let x0∈X and xn+1=fxn. Suppose that xn≠xn+1, n∈N0, i.e.
0<M(xn,xn+1,t)<1, n∈N0, t>0. (26)
By (25), with x=xn−1, y=xn, we have
φ(M(xn,xn+1,t))≤k1(t)⋅φ(M(xn−1,xn,t))+k2(t)⋅φ(M(xn,xn+1,t))+k3(t)⋅φ(M(xn−1,xn,t)), n∈N0, t>0,
(27)
i.e.
φ(M(xn,xn+1,t))≤
(t)k-1
(t)k+(t)k
2
31
φ(M(xn−1,xn,t)), n∈N0, t>0. (28)
Since φ is strictly decreasing, the sequence {M(xn, xn+1, t)} is strictly increasing sequence, with respect to n,
for every t>0. Hence, by (26) and a similar method to Theorem 2.1 it could be shown that
limn→∞M(xn, xn+1, t)=1, t>0, (29)
and {xn} is a Cauchy sequence. So, there exists x∈X such that limn→∞xn=x. Now, by (25) with x=xn−1, y=x we
have
φ(M(xn,fx,t))≤k1(t)⋅φ(M(xn−1,xn,t))+k2(t)⋅φ(M(x,fx,t))+k3(t)⋅φ(M(xn−1,x,t)), (30)
n∈N, t>0. Letting n→∞ in (30) we have
φ(M(x,fx,t))≤k1(t)⋅φ(1)+k2(t)⋅φ(M(x,fx,t))+k3(t)⋅φ(1)
=k2(t)⋅φ(M(x,fx,t)),t>0, (31)
i.e.
(1−k2(t))φ(M(x,fx,t))≤0, t>0. (32)
It follows that φ(M(x, fx, t))=0 and x=fx.
Assume now that there exists a fixed point v, v≠x. Then by (25) we have
φ(M(fx,fv,t))≤k1(t)⋅φ(M(x,fx,t))+k2(t)⋅φ(M(v,fv,t))+k3(t)⋅φ(M(x,v,t))<φ(M(x,v,t)),t>0, (33)
which is a contradiction. So, x is a unique fixed point of f.
Remark 2.3
If in (25) we take k1(t)=k2(t)=0, t>0, we get condition (1), and Theorem 2.2. is a generalization of the result
given in [24].

In the following theorems conditions (34) and (47) proposed in [32] are used to obtain fixed point results in
complete and compact strong fuzzy metric spaces.
Theorem 2.4
Let (X, M, T)be a complete strong fuzzy metric space with positive t-norm T and let f:X→X. If there exists an
altering distance function φ and ai=ai(t), i=1,2,…,5, ai>0, a1+a2+2a3+2a4+a5<1, such that
φ(T(r,s))≤φ(r)+φ(s),r,s∈{M(x,fx,t):x∈X,t>0} (34)
and
φ(M(fx,fy,t))≤a1φ(M(fx,x,t))+a2φ(M(fy,y,t))+a3φ(M(fx,y,t))+a4φ(M(x,fy,t))+a5φ(M(x,y,t)), x, y∈X, t>0,
(35)
then f has a unique fixed point.
Proof
Let x0∈X be arbitrary. Define a sequence (xn)n∈N such that xn=fxn−1=fn
x0. By (35) with x=xn−1 and y=xn we
have
φ(M(xn,xn+1,t))≤a1φ(M(xn,xn−1,t))+a2φ(M(xn+1,xn,t))+a3φ(M(xn,xn,t))+a4φ(M(xn−1,xn+1,t))+ a5φ(M(xn−1,xn,t)),
n∈N, t>0. (36)
Since (X, M, T) is a strong fuzzy metric space we have
M(xn−1,xn+1,t)≥T(M(xn−1,xn,t),M(xn,xn+1,t)), n∈N, t>0,
using (34) we obtained
φ(M(xn−1,xn+1,t))≤φ(T(M(xn−1,xn,t),M(xn,xn+1,t)))
≤φ(M(xn−1,xn,t))+φ(M(xn,xn+1,t)), n∈N, t>0.
By (36) it follows that
φ(M(xn,xn+1,t))≤
42
541
a-a-1
a+a+a
φ(M(xn−1,xn,t))
<φ(M(xn−1,xn,t)), n∈N, t>0,
i.e.
M(xn,xn+1,t)>M(xn−1,xn,t), n∈N, t>0.
So, the sequence {M(xn,xn+1,t)} is increasing and bounded and there exists
limn→∞M(xn,xn+1,t)=p(t), p:(0,∞)→[0,1].
Suppose that p(t)≠1, for some t>0. Then, if we take n→∞ in (36)
φ(p(t))≤(a1+a2+2a4+a5)φ(p(t))<φ(p(t)),
and we get a contradiction, i.e.
limn→∞M(xn,xn+1,t)=1, t>0.
It remains to prove that {xn}n∈N is a Cauchy sequence. Suppose the contrary, i.e. that there exist ε>0, t>0,
such that for every s∈N there exist m(s)>n(s)≥s, and
M(xm(s),xn(s),t)<1−ε. (37)
Let m(s) be the least integer exceeding n(s) satisfying the above property, i.e.

M(xm(s)−1,xn(s),t)≥1−ε, s∈N, t>0. (38)
Then by (35) with x=xm(s)−1 and y=xn(s)−1, for each s∈N and t>0 we have
φ(M(xm(s),xn(s),t))≤a1φ(M(xm(s),xm(s)−1,t))+a2φ(M(xn(s),xn(s)−1,t))+a3φ(M(xm(s),xn(s)−1,t))+
a4φ(M(xm(s)−1,xn(s),t))+a5φ(M(xm(s)−1,xn(s)−1,t)). (39)
By (FM4′), (34), and (AD1) it follows that
φ(M(xm(s),xn(s)−1,t))≤φ(M(xm(s),xn(s),t))+φ(M(xn(s),xn(s)−1,t)) (40)
and
φ(M(xm(s)−1,xn(s)−1,t))≤φ(M(xm(s)−1,xm(s),t))+φ(M(xm(s),xn(s)−1,t)).
Combining the previous inequalities we get
φ(M(xm(s)−1,xn(s)−1,t))≤φ(M(xm(s)−1,xm(s),t))+φ(M(xm(s),xn(s),t))+φ(M(xn(s),xn(s)−1,t)). (41)
Also, by (38) and (AD1) we have
φ(M(xm(s)−1,xn(s),t))≤φ(1−ε). (42)
Inserting (40), (41), and (42) in (39) we obtain
φ(M(xm(s),xn(s),t))≤a1φ(M(xm(s),xm(s)−1,t))+a2φ(M(xn(s),xn(s)−1,t))+a3φ(M(xm(s),xn(s),t))+a3φ(M(xn(s),xn(s)−1,t))+a4φ(1−
ε)+a5φ(M(xm(s),xm(s)−1,t))+a5φ(M(xm(s),xn(s),t))+a5φ(M(xn(s),xn(s)−1,t)),
i.e.
(1−a3−a5)φ(M(xm(s),xn(s),t))≤(a1+a5)φ(M(xm(s),xm(s)−1,t))+(a2+a3+a5)φ(M(xn(s),xn(s)−1,t))+a4φ(1−ε).
(43)
By (37) it follows that
φ(M(xm(s),xn(s),t))>φ(1−ε), (44)
and (43) and (44) imply
(1−a3−a5)φ(1−ε)<(a1+a5)φ(M(xm(s),xm(s)−1,t))+(a2+a3+a5)φ(M(xn(s),xn(s)−1,t))+a4φ(1−ε). (45)
Letting s→∞ in (45) we have
(1−a3−a5)φ(1−ε)≤a4φ(1−ε),
i.e.
(1−a3−a4−a5)φ(1−ε)≤0,
which implies that ε=0 and we get a contradiction.
So, {xn}n∈N is a Cauchy sequence and there exist z∈X such that limn→∞xn=z. Now, by (35)
with x=xn−1 and y=z, we have
φ(M(xn,fz,t))≤a1φ(M(xn,xn−1,t))+a2φ(M(fz,z,t))+a3φ(M(xn,z,t))+a4φ(M(xn−1,fz,t))+ a5φ(M(xn−1,z,t)), n∈N, t>0.
(46)
Letting n→∞ in (46) we have
(1−a2−a4)φ(M(z,fz,t))≤0, t>0.
Therefore, M(z, fz, t)=1, t>0, and z=fz.
Suppose now that there exists another fixed point w=fw. By (35) with x=z and y=w we get
(1−a3−a4−a5)φ(M(z,w,t))≤0, t>0,
i.e.z=w.
3. Conclusion:

In this paper several fixed point theorems in complete and compact fuzzy metric spaces are proved. For this
purpose new contraction types of mappings with altering distances are proposed.
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Fundam. Math. 3, 133-181 (1922)
2) George, A, Veeramani, P: On some results in fuzzy metric spaces. Fuzzy Sets Syst. 64, 395-399 (1994)
3) George, A, Veeramani, P: On some results of analysis for fuzzy metric spaces. Fuzzy Sets Syst. 90, 365-368
(1997)
4) Kramosil, I, Michalek, J: Fuzzy metric and statistical metric spaces. Kybernetika 11, 336-344 (1975)
5) Zadeh, LA: Fuzzy sets. Inf. Control 8, 338-353 (1965)
6) Shen, Y, Qiu, D, Chen, W: Fixed point theorems in fuzzy metric spaces. Appl. Math. Lett. 25, 138-141
(2012)
7) Ćirić, L: Some new results for Banach contractions and Edelstein contractive mappings on fuzzy metric
spaces. Chaos Solitons Fractals 42, 146-154 (2009)
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Theory Appl. 2010, 782680 (2010)

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