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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
© 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 ∗ (shortly t− norm) is a
binary operation on the unit interval such that for all
the following conditions are satisfied:
∗
∗ ∗
∗ ∗
∗ ∗ ∗ ∗
Example 2.2:- Two typical examples of continuous t-norm
are
(a) ∗
(b) ∗
Definition 2.3:- A distribution function is a function
which is left continuous on R, non-
decreasing and
We will denote by Δ the family of all distribution functions
on H is a special element of Δ 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 ⇒ (t + s) = 1.
The ordered triple (X, F, ∗) is called Menger space if (X, F)
is a PM-space, ∗ 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) ≥ (t) ∗ (s).
Proposition 2.5 [13]:- Let be a metric space. Then
the metric induces a distribution function defined by
(t) = H (t − d(x, y))
for all and t If t-norm ∗ is defined
∗ for then ∗ is a
Menger space. Further, ∗ is a complete Menger
space if is complete.
Definition 2.6 [11]:- Let ∗ be a Menger space and ∗
be a continuous t-norm.
(a) A sequence { } in is said to be converge to a point
in (written → ) 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
© 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 ∗ 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
∗ 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
∗ are said to be compatible if → 1 for
all , whenever { } is a sequence in such that
A → x, B → x for some in as
Remark 2.10:- If self maps A and B of a Menger space
∗ 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 ∗ be the induced Menger space with
(t) = H(t − d(x, y)), and Define self
maps A and B as follows:
{
and
{
Take = 1−1/n. Then = H (t− (1/n)) and
= H (t) = 1. Hence A → ∞ as n → ∞.
Similarly, B → ∞ as Also = H (t −
(1 − 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
∗) with continuous t-norm ∗ and ∗ If there
exists a constant such that
for all and then { } is a
Cauchy sequence in .
Lemma 2.13[15]:- Let ∗ 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 ∗ with ∗ for all
satisfying:
(a)
(b) there exists a constant k (0, 1) such that
∗ ∗ ∗
∗
∗
(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
∗ ∗ ∗
∗
∗
∗
∗ ∗
∗
as Since∗is continuous and ∗ is continuous,
letting in above eq.,we get
∗
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
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4117
Similarly, we have
∗
Thus from (1) and (2), it follows that
∗
for
and then for positive integers and ,
∗ ( )
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
∗ ∗
∗
∗
∗
which implies that
∗ ∗
∗
∗
∗
we have since for
all we get Again we
have
∗
∗ ∗
∗
∗
which implies that
∗ ∗ ∗
∗
we have Now, we show that Infact,
by with and (c) we get,
∗ ∗
∗
∗
∗ ∗ ∗ ∗
which implies that Since we have
Next, we show that Indeed by
∗ ∗ ∗ ∗
,
which implies that Since we have
Therefore, by combining the above results we
obtain
that is e common fixed
point of
COROLLARY:- Let ∗ be a complete Menger Space
with ∗ for and let and be
mappings from into itself such that
there exists a constant such that
∗ ∗ ∗
∗
∗
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
© 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. Bucure¸sti 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 (β) 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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IRJET- Common Fixed Point Results in Menger Spaces

  • 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 © 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 ∗ (shortly t− norm) is a binary operation on the unit interval such that for all the following conditions are satisfied: ∗ ∗ ∗ ∗ ∗ ∗ ∗ ∗ ∗ Example 2.2:- Two typical examples of continuous t-norm are (a) ∗ (b) ∗ Definition 2.3:- A distribution function is a function which is left continuous on R, non- decreasing and We will denote by Δ the family of all distribution functions on H is a special element of Δ 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 ⇒ (t + s) = 1. The ordered triple (X, F, ∗) is called Menger space if (X, F) is a PM-space, ∗ 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) ≥ (t) ∗ (s). Proposition 2.5 [13]:- Let be a metric space. Then the metric induces a distribution function defined by (t) = H (t − d(x, y)) for all and t If t-norm ∗ is defined ∗ for then ∗ is a Menger space. Further, ∗ is a complete Menger space if is complete. Definition 2.6 [11]:- Let ∗ be a Menger space and ∗ be a continuous t-norm. (a) A sequence { } in is said to be converge to a point in (written → ) 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 © 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 ∗ 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 ∗ 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 ∗ are said to be compatible if → 1 for all , whenever { } is a sequence in such that A → x, B → x for some in as Remark 2.10:- If self maps A and B of a Menger space ∗ 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 ∗ be the induced Menger space with (t) = H(t − d(x, y)), and Define self maps A and B as follows: { and { Take = 1−1/n. Then = H (t− (1/n)) and = H (t) = 1. Hence A → ∞ as n → ∞. Similarly, B → ∞ as Also = H (t − (1 − 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 ∗) with continuous t-norm ∗ and ∗ If there exists a constant such that for all and then { } is a Cauchy sequence in . Lemma 2.13[15]:- Let ∗ 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 ∗ with ∗ for all satisfying: (a) (b) there exists a constant k (0, 1) such that ∗ ∗ ∗ ∗ ∗ (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 ∗ ∗ ∗ ∗ ∗ ∗ ∗ ∗ ∗ as Since∗is continuous and ∗ is continuous, letting in above eq.,we get ∗
  • 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 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 4117 Similarly, we have ∗ Thus from (1) and (2), it follows that ∗ for and then for positive integers and , ∗ ( ) 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 ∗ ∗ ∗ ∗ ∗ which implies that ∗ ∗ ∗ ∗ ∗ we have since for all we get Again we have ∗ ∗ ∗ ∗ ∗ which implies that ∗ ∗ ∗ ∗ we have Now, we show that Infact, by with and (c) we get, ∗ ∗ ∗ ∗ ∗ ∗ ∗ ∗ which implies that Since we have Next, we show that Indeed by ∗ ∗ ∗ ∗ , which implies that Since we have Therefore, by combining the above results we obtain that is e common fixed point of COROLLARY:- Let ∗ be a complete Menger Space with ∗ for and let and be mappings from into itself such that there exists a constant such that ∗ ∗ ∗ ∗ ∗ 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 © 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. Bucure¸sti 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 (β) 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.