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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
Β© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4115
Common Fixed Point Results in Menger Spaces
ANIMESH GUPTA1, GANESH KUMAR SONI
1,2 GOVT.P.G.COLLEGE, NARSINGHPUR [M.P]
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The purpose of the paper is to prove a common
fixed point theorem in Menger spaces by using five
compatible mappings.
Key Words: Menger space, t-norm, Common fixed point,
Compatible maps, Weak - compatible maps.
I. Introduction:
There have been a number of generalizations of metric
space. One such generalization is Menger space initiated
by K. Menger [10] in 1942. The idea of Menger was to use
distribution functions instead of nonnegative real
numbers as values of the metric. Schweizer and Sklar [16]
studied this concept and gave some fundamental results
on this space.
The important development of fixed point theory in
Menger spaces were due to Sehgal and Bharucha-Reid
[13]. Sessa [14] introduced weakly commuting maps in
metric spaces. Jungck [7] enlarged this concept to
compatible maps. The notion of compatible maps in
Menger spaces has been introduced by Mishra [11].
Recently, Singh and Jain [15] generalized the results of
Mishra [11] using the concept of weak compatibility and
compatibility of pair of self maps. In this paper, using the
idea of weak compatibility due to Singh and Jain [15] and
the idea of compatibility due to Mishra [11]. In this paper
we prove a common fixed point theorem in Menger spaces
by using five compatible mappings.
II. PRELIMINARIES
In [16], introduced the concept of probabilistic metric
space by using the notion of triangular norm which is
followings
Definition 2.1:- A triangular norm βˆ— (shortly tβˆ’ norm) is a
binary operation on the unit interval such that for all
the following conditions are satisfied:
βˆ—
βˆ— βˆ—
βˆ— βˆ—
βˆ— βˆ— βˆ— βˆ—
Example 2.2:- Two typical examples of continuous t-norm
are
(a) βˆ—
(b) βˆ—
Definition 2.3:- A distribution function is a function
which is left continuous on R, non-
decreasing and
We will denote by Ξ” the family of all distribution functions
on H is a special element of Ξ” defined by
{
If X is a nonempty set, is called a
probabilistic distance on X and is usually denoted
by
Definition 2.4 [16]:- The ordered pair is called a
probabilistic metric space (shortly PM-space) if is a
nonempty set and F is a probabilistic distance satisfying
the following conditions: for all and
(t) = 1 x = y;
(0) = 0, if t=0;
= ;
(t) = 1, (s) = 1 β‡’ (t + s) = 1.
The ordered triple (X, F, βˆ—) is called Menger space if (X, F)
is a PM-space, βˆ— is a t-norm and the following condition is
also satisfies: for all x, y, z X and t, s > 0,
(FM-4) (t + s) β‰₯ (t) βˆ— (s).
Proposition 2.5 [13]:- Let be a metric space. Then
the metric induces a distribution function defined by
(t) = H (t βˆ’ d(x, y))
for all and t If t-norm βˆ— is defined
βˆ— for then βˆ— is a
Menger space. Further, βˆ— is a complete Menger
space if is complete.
Definition 2.6 [11]:- Let βˆ— be a Menger space and βˆ—
be a continuous t-norm.
(a) A sequence { } in is said to be converge to a point
in (written β†’ ) iff for every
such that
for all
(b) A sequence { } in is said to be Cauchy if for every
> 0 and there exists an integer
such that for all and
.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
Β© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4116
(c) A Menger space in which every Cauchy sequence is
convergent is said to be complete.
Remark 2.7:- If βˆ— is a continuous t-norm, it follows from
that the limit of sequence in Menger space is
uniquely determined.
Definition 2.8[15]:- Self maps A and B of a Menger space
βˆ— are said to be weakly compatible (or
coincidentally commuting) if they commute at their
coincidence points, i.e. if for some then
Definition 2.9[11]:- Self maps and of a Menger space
βˆ— are said to be compatible if β†’ 1 for
all , whenever { } is a sequence in such that
A β†’ x, B β†’ x for some in as
Remark 2.10:- If self maps A and B of a Menger space
βˆ— are compatible then they are weakly compatible.
The following is an example of pair of self maps in
a Menger space which are weakly compatible but not
compatible.
Example 2.11:- Let be a metric space where
and βˆ— be the induced Menger space with
(t) = H(t βˆ’ d(x, y)), and Define self
maps A and B as follows:
{
and
{
Take = 1βˆ’1/n. Then = H (tβˆ’ (1/n)) and
= H (t) = 1. Hence A β†’ ∞ as n β†’ ∞.
Similarly, B β†’ ∞ as Also = H (t βˆ’
(1 βˆ’ 1/n)) and lim
, Hence the pair (A, B) is not compatible. Set of
coincidence points of A and B is Now for any
and
Thus A and B are weakly compatible but
not compatible.
Lemma 2.12:- Let { } be a sequence in a Menger space
βˆ—) with continuous t-norm βˆ— and βˆ— If there
exists a constant such that
for all and then { } is a
Cauchy sequence in .
Lemma 2.13[15]:- Let βˆ— be a Menger space. If there
exists such that for all
and then
III. MAIN RESULTS
Theorem 3.1 Let and be self maps on a
complete Menger space βˆ— with βˆ— for all
satisfying:
(a)
(b) there exists a constant k (0, 1) such that
βˆ— βˆ— βˆ—
βˆ—
βˆ—
(c)
(d) A and B are continuous,
(e) the pair (P, AB) is compatible (if compatible then it is
weak compatible)
Then A, B, S, T and P have a common fixed point in X.
Proof:- Since for
for this point , we can
choose a point such that
Thus by induction, we can define a
sequence as follows
and
for
For all
βˆ— βˆ— βˆ—
βˆ—
βˆ—
βˆ—
βˆ— βˆ—
βˆ—
as Sinceβˆ—is continuous and βˆ— is continuous,
letting in above eq.,we get
βˆ—
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
Β© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4117
Similarly, we have
βˆ—
Thus from (1) and (2), it follows that
βˆ—
for
and then for positive integers and ,
βˆ— ( )
Thus, since
( )
we have
is Cauchy sequence in and since x is
complete converges to a point Since
and are subsequences of , they also
converge to the point Since are continuous and
pair is compatible and also weak compatible, we
have
and
By (b) with we get
βˆ— βˆ—
βˆ—
βˆ—
βˆ—
which implies that
βˆ— βˆ—
βˆ—
βˆ—
βˆ—
we have since for
all we get Again we
have
βˆ—
βˆ— βˆ—
βˆ—
βˆ—
which implies that
βˆ— βˆ— βˆ—
βˆ—
we have Now, we show that Infact,
by with and (c) we get,
βˆ— βˆ—
βˆ—
βˆ—
βˆ— βˆ— βˆ— βˆ—
which implies that Since we have
Next, we show that Indeed by
βˆ— βˆ— βˆ— βˆ—
,
which implies that Since we have
Therefore, by combining the above results we
obtain
that is e common fixed
point of
COROLLARY:- Let βˆ— be a complete Menger Space
with βˆ— for and let and be
mappings from into itself such that
there exists a constant such that
βˆ— βˆ— βˆ—
βˆ—
βˆ—
or are continuous,
the pair is compatible ,
Then and have a common fixed point in
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
Β© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4118
REFERENCES
[1] G. Constantin, I. Istratescu, Elements of Probabilistic
Analysis, Ed. Acad. BucureΒΈsti and Kluwer Acad. Publ.,
1989.
[2] O. Hadzic, Common fixed point theorems for families of
mapping in complete metric space, Math. Japon., 29
(1984), 127-134.
[3] T. L. Hicks, Fixed point theory in probabilistic metric
spaces, Rev. Res. Novi Sad, 13 (1983), 63-72.
[4] I. Istratescu, On some fixed point theorems in
generalized Menger spaces, Boll. Un. Mat. Ital., 5 (13-A)
(1976), 95-100.
[5] I. Istratescu, On generalized complete probabilistic
metric spaces, Rev. Roum. Math. Pures Appl., XXV (1980),
1243-1247.
[6] G. Jungck, Commuting mappings and fixed points,
Amer. Math. Monthly, 83 (1976), 261-263.
[7] G. Jungck, Compatible mappings and common fixed
points, Internat. J. Math. Sci., 9 (1986), 771-779.
[8] G. Jungck, B. E. Rhoades, Some fixed point theorems for
compatible maps, Internat. J. Math. & Math. Sci., 3 (1993),
417-428.
[9] S. Kutukcu, D. Turkoglu, C. Yildiz, Common fixed points
of compatible maps of type (Ξ²) on fuzzy metric spaces,
Commun. Korean Math. Soc., in press.
[10] K. Menger, Statistical metric, Proc. Nat. Acad., 28
(1942), 535-537.
[11] S. N. Mishra, Common fixed points of compatible
mappings in PMspaces, ic spaces, Math. Japon., 36 (1991),
283-289.
[12] E. Pap, O. Hadzic, R. Mesiar, A fixed point theorem in
probabilistic metric spaces and an application, J. Math.
Anal. Appl., 202 (1996), 433- 449.
[13] V. M. Sehgal, A. T. Bharucha-Reid, Fixed point of
contraction mapping on PM spaces, Math. Systems Theory,
6 (1972), 97-100.
[14] S. Sessa, On a weak commutative condition in fixed
point consideration, Publ. Inst. Math., 32 (1982), 146-153.
[15]S. L. Singh and B. D. Pant, Common fixed point
theorem in probabilistic metric space and extension to
uniform spaces, Honam Math. J. 6 (1984), 1-12.
[16] B. Schweizer, A. Sklar, Probabilistic Metric Spaces,
North-Holland, Amsterdam, 1983.
[17] R. M. Tardiff, Contraction maps on probabilistic
metric spaces, J. Math. Anal. Appl., 165 (1992), 517-523.

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  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 Β© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4115 Common Fixed Point Results in Menger Spaces ANIMESH GUPTA1, GANESH KUMAR SONI 1,2 GOVT.P.G.COLLEGE, NARSINGHPUR [M.P] ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The purpose of the paper is to prove a common fixed point theorem in Menger spaces by using five compatible mappings. Key Words: Menger space, t-norm, Common fixed point, Compatible maps, Weak - compatible maps. I. Introduction: There have been a number of generalizations of metric space. One such generalization is Menger space initiated by K. Menger [10] in 1942. The idea of Menger was to use distribution functions instead of nonnegative real numbers as values of the metric. Schweizer and Sklar [16] studied this concept and gave some fundamental results on this space. The important development of fixed point theory in Menger spaces were due to Sehgal and Bharucha-Reid [13]. Sessa [14] introduced weakly commuting maps in metric spaces. Jungck [7] enlarged this concept to compatible maps. The notion of compatible maps in Menger spaces has been introduced by Mishra [11]. Recently, Singh and Jain [15] generalized the results of Mishra [11] using the concept of weak compatibility and compatibility of pair of self maps. In this paper, using the idea of weak compatibility due to Singh and Jain [15] and the idea of compatibility due to Mishra [11]. In this paper we prove a common fixed point theorem in Menger spaces by using five compatible mappings. II. PRELIMINARIES In [16], introduced the concept of probabilistic metric space by using the notion of triangular norm which is followings Definition 2.1:- A triangular norm βˆ— (shortly tβˆ’ norm) is a binary operation on the unit interval such that for all the following conditions are satisfied: βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— Example 2.2:- Two typical examples of continuous t-norm are (a) βˆ— (b) βˆ— Definition 2.3:- A distribution function is a function which is left continuous on R, non- decreasing and We will denote by Ξ” the family of all distribution functions on H is a special element of Ξ” defined by { If X is a nonempty set, is called a probabilistic distance on X and is usually denoted by Definition 2.4 [16]:- The ordered pair is called a probabilistic metric space (shortly PM-space) if is a nonempty set and F is a probabilistic distance satisfying the following conditions: for all and (t) = 1 x = y; (0) = 0, if t=0; = ; (t) = 1, (s) = 1 β‡’ (t + s) = 1. The ordered triple (X, F, βˆ—) is called Menger space if (X, F) is a PM-space, βˆ— is a t-norm and the following condition is also satisfies: for all x, y, z X and t, s > 0, (FM-4) (t + s) β‰₯ (t) βˆ— (s). Proposition 2.5 [13]:- Let be a metric space. Then the metric induces a distribution function defined by (t) = H (t βˆ’ d(x, y)) for all and t If t-norm βˆ— is defined βˆ— for then βˆ— is a Menger space. Further, βˆ— is a complete Menger space if is complete. Definition 2.6 [11]:- Let βˆ— be a Menger space and βˆ— be a continuous t-norm. (a) A sequence { } in is said to be converge to a point in (written β†’ ) iff for every such that for all (b) A sequence { } in is said to be Cauchy if for every > 0 and there exists an integer such that for all and .
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 Β© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4116 (c) A Menger space in which every Cauchy sequence is convergent is said to be complete. Remark 2.7:- If βˆ— is a continuous t-norm, it follows from that the limit of sequence in Menger space is uniquely determined. Definition 2.8[15]:- Self maps A and B of a Menger space βˆ— are said to be weakly compatible (or coincidentally commuting) if they commute at their coincidence points, i.e. if for some then Definition 2.9[11]:- Self maps and of a Menger space βˆ— are said to be compatible if β†’ 1 for all , whenever { } is a sequence in such that A β†’ x, B β†’ x for some in as Remark 2.10:- If self maps A and B of a Menger space βˆ— are compatible then they are weakly compatible. The following is an example of pair of self maps in a Menger space which are weakly compatible but not compatible. Example 2.11:- Let be a metric space where and βˆ— be the induced Menger space with (t) = H(t βˆ’ d(x, y)), and Define self maps A and B as follows: { and { Take = 1βˆ’1/n. Then = H (tβˆ’ (1/n)) and = H (t) = 1. Hence A β†’ ∞ as n β†’ ∞. Similarly, B β†’ ∞ as Also = H (t βˆ’ (1 βˆ’ 1/n)) and lim , Hence the pair (A, B) is not compatible. Set of coincidence points of A and B is Now for any and Thus A and B are weakly compatible but not compatible. Lemma 2.12:- Let { } be a sequence in a Menger space βˆ—) with continuous t-norm βˆ— and βˆ— If there exists a constant such that for all and then { } is a Cauchy sequence in . Lemma 2.13[15]:- Let βˆ— be a Menger space. If there exists such that for all and then III. MAIN RESULTS Theorem 3.1 Let and be self maps on a complete Menger space βˆ— with βˆ— for all satisfying: (a) (b) there exists a constant k (0, 1) such that βˆ— βˆ— βˆ— βˆ— βˆ— (c) (d) A and B are continuous, (e) the pair (P, AB) is compatible (if compatible then it is weak compatible) Then A, B, S, T and P have a common fixed point in X. Proof:- Since for for this point , we can choose a point such that Thus by induction, we can define a sequence as follows and for For all βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— as Sinceβˆ—is continuous and βˆ— is continuous, letting in above eq.,we get βˆ—
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 Β© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4117 Similarly, we have βˆ— Thus from (1) and (2), it follows that βˆ— for and then for positive integers and , βˆ— ( ) Thus, since ( ) we have is Cauchy sequence in and since x is complete converges to a point Since and are subsequences of , they also converge to the point Since are continuous and pair is compatible and also weak compatible, we have and By (b) with we get βˆ— βˆ— βˆ— βˆ— βˆ— which implies that βˆ— βˆ— βˆ— βˆ— βˆ— we have since for all we get Again we have βˆ— βˆ— βˆ— βˆ— βˆ— which implies that βˆ— βˆ— βˆ— βˆ— we have Now, we show that Infact, by with and (c) we get, βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— βˆ— which implies that Since we have Next, we show that Indeed by βˆ— βˆ— βˆ— βˆ— , which implies that Since we have Therefore, by combining the above results we obtain that is e common fixed point of COROLLARY:- Let βˆ— be a complete Menger Space with βˆ— for and let and be mappings from into itself such that there exists a constant such that βˆ— βˆ— βˆ— βˆ— βˆ— or are continuous, the pair is compatible , Then and have a common fixed point in
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 Β© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4118 REFERENCES [1] G. Constantin, I. Istratescu, Elements of Probabilistic Analysis, Ed. Acad. BucureΒΈsti and Kluwer Acad. Publ., 1989. [2] O. Hadzic, Common fixed point theorems for families of mapping in complete metric space, Math. Japon., 29 (1984), 127-134. [3] T. L. Hicks, Fixed point theory in probabilistic metric spaces, Rev. Res. Novi Sad, 13 (1983), 63-72. [4] I. Istratescu, On some fixed point theorems in generalized Menger spaces, Boll. Un. Mat. Ital., 5 (13-A) (1976), 95-100. [5] I. Istratescu, On generalized complete probabilistic metric spaces, Rev. Roum. Math. Pures Appl., XXV (1980), 1243-1247. [6] G. Jungck, Commuting mappings and fixed points, Amer. Math. Monthly, 83 (1976), 261-263. [7] G. Jungck, Compatible mappings and common fixed points, Internat. J. Math. Sci., 9 (1986), 771-779. [8] G. Jungck, B. E. Rhoades, Some fixed point theorems for compatible maps, Internat. J. Math. & Math. Sci., 3 (1993), 417-428. [9] S. Kutukcu, D. Turkoglu, C. Yildiz, Common fixed points of compatible maps of type (Ξ²) on fuzzy metric spaces, Commun. Korean Math. Soc., in press. [10] K. Menger, Statistical metric, Proc. Nat. Acad., 28 (1942), 535-537. [11] S. N. Mishra, Common fixed points of compatible mappings in PMspaces, ic spaces, Math. Japon., 36 (1991), 283-289. [12] E. Pap, O. Hadzic, R. Mesiar, A fixed point theorem in probabilistic metric spaces and an application, J. Math. Anal. Appl., 202 (1996), 433- 449. [13] V. M. Sehgal, A. T. Bharucha-Reid, Fixed point of contraction mapping on PM spaces, Math. Systems Theory, 6 (1972), 97-100. [14] S. Sessa, On a weak commutative condition in fixed point consideration, Publ. Inst. Math., 32 (1982), 146-153. [15]S. L. Singh and B. D. Pant, Common fixed point theorem in probabilistic metric space and extension to uniform spaces, Honam Math. J. 6 (1984), 1-12. [16] B. Schweizer, A. Sklar, Probabilistic Metric Spaces, North-Holland, Amsterdam, 1983. [17] R. M. Tardiff, Contraction maps on probabilistic metric spaces, J. Math. Anal. Appl., 165 (1992), 517-523.