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On the tripled fixed point and tripled coincidence point theorems in fuzzy normed spaces
Fixed Point Theory and Applications volume 2014, Article number: 136 (2014)
Abstract
Recently, Abbas et al. (Fixed Point Theory Appl. 2012:187, 2012) proved tripled fixed point and tripled coincidence point theorems in intuitionistic fuzzy normed spaces. Saadati and Park proved that the topology generated by an intuitionistic fuzzy normed space coincides with the topology generated by the generalized fuzzy normed space , and thus the results obtained in intuitionistic fuzzy normed spaces are immediate consequences of the corresponding results for fuzzy normed spaces. In this paper, we improve and extend the results presented by Abbas et al. to ℒ-fuzzy normed spaces.
MSC: 47H09, 47H10, 54H25.
1 Introduction
Intuitionistic fuzzy normed spaces were investigated by Saadati and Park [1]. They introduced and studied intuitionistic fuzzy normed spaces based both on the idea of intuitionistic fuzzy sets due to Atanassov [2] and the concept of fuzzy normed spaces given by Saadati and Vaezpour in [3]. In [4] Saadati and Park proved that the topology generated by an intuitionistic fuzzy normed space coincides with the topology generated by the generalized fuzzy normed space , and thus the results obtained in intuitionistic fuzzy normed spaces are immediate consequences of the corresponding results for fuzzy normed spaces. For improving this problem, Deschrijver et al. [5] modified the concept of intuitionistic fuzzy normed spaces and introduced the notation of ℒ-fuzzy normed space.
Fixed point theorems have been studied in many contexts, one of which is the fuzzy setting. The concept of fuzzy sets was initially introduced by Zadeh [6] in 1965. To use this concept in topology and analysis, many authors have extensively developed the theory of fuzzy sets and its applications. One of the most interesting research topics in fuzzy topology is to find an appropriate definition of fuzzy metric space for its possible applications in several areas. It is well known that a fuzzy metric space is an important generalization of the metric space. Many authors have considered this problem and have introduced it in different ways. For instance, George and Veeramani [7] modified the concept of a fuzzy metric space introduced by Kramosil and Michalek [8] and defined the Hausdorff topology of a fuzzy metric space. There exists considerable literature about fixed point properties for mappings defined on fuzzy metric spaces, which have been studied by many authors (see [9–13]). Zhu and Xiao [14] and Hu [15] gave a coupled fixed point theorem for contractions in fuzzy metric spaces (see also [16]). Recently, Abbas et al. [17] proved tripled fixed point and tripled coincidence point theorems in intuitionistic fuzzy normed spaces. In this paper we present some shorter proofs for Abbas et al.’s results in ℒ-fuzzy normed space, which is not a trivial generalization of fuzzy normed space.
2 Fuzzy normed spaces
A binary operation is a continuous t-norm if it satisfies the following conditions:
-
(a)
∗ is associative and commutative;
-
(b)
∗ is continuous;
-
(c)
for all ;
-
(d)
whenever and , for each .
Two typical examples of continuous t-norm are and .
A binary operation is a continuous t-conorm if it satisfies the following conditions:
-
(a)
⋄ is associative and commutative;
-
(b)
⋄ is continuous;
-
(c)
for all ;
-
(d)
whenever and , for each .
Two typical examples of continuous t-conorm are and .
In 2005, Saadati and Vaezpour [3] introduced the concept of fuzzy normed spaces.
Definition 2.1 Let X be a real vector space. A function is called a fuzzy norm on X if for all and all :
() for ;
() if and only if for all ;
() if ;
() ;
() is a non-decreasing function of ℝ and ;
() for , is continuous on ℝ.
For example, if for , is a normed space and
for all and . Then μ is a (standard) fuzzy normed and is a fuzzy normed space.
Saadati and Vaezpour showed in [3] that every fuzzy norm on X generates a first countable topology on X which has as a base the family of open sets of the form where for all , and .
3 Intuitionistic fuzzy normed spaces
Saadati and Park [1] defined the notion of intuitionistic fuzzy normed spaces with the help of continuous t-norms and continuous t-conorms as a generalization of fuzzy normed space due to Saadati and Vaezpour [3].
Definition 3.1 The 5-tuple is said to be an intuitionistic fuzzy normed space if X is a vector space, ∗ is a continuous t-norm, ⋄ is a continuous t-conorm, and μ, ν are fuzzy sets on satisfying the following conditions for every and :
-
(a)
;
-
(b)
;
-
(c)
if and only if ;
-
(d)
for each ;
-
(e)
;
-
(f)
is continuous;
-
(g)
and ;
-
(h)
;
-
(i)
if and only if ;
-
(j)
for each ;
-
(k)
;
-
(l)
is continuous;
-
(m)
and .
In this case is called an intuitionistic fuzzy norm.
Example 3.2 Let be a normed space. Denote and for all and let μ and ν be fuzzy sets on defined as follows:
for all . Then is an intuitionistic fuzzy normed space.
Saadati and Park proved in [1] that every intuitionistic fuzzy norm on X generates a first countable topology on X which has as a base the family of open sets of the form where for all , and .
Lemma 3.3 ([4])
Let be an intuitionistic fuzzy normed space. Then, for each , and we have .
From Lemma 3.3, we deduce the following.
Theorem 3.4 Let be an intuitionistic fuzzy normed space. Then the topologies and coincide on X.
4 ℒ-Fuzzy normed spaces
Definition 4.1 ([18])
Let be a complete lattice and U a non-empty set called universe. An ℒ-fuzzy set on U is defined as a mapping . For each u in U, represents the degree (in L) to which u satisfies .
Lemma 4.2 ([19])
Consider the set and operation defined by
and , for every . Then is a complete lattice.
Definition 4.3 ([2])
An intuitionistic fuzzy set on a universe U is an object , where, for all , and are called the membership degree and the non-membership degree, respectively, of u in , and they furthermore satisfy .
Classically, a triangular norm T on is defined as an increasing, commutative, associative mapping satisfying , for all . These definitions can be straightforwardly extended to any lattice . Define first and .
Definition 4.4 A triangular norm (t-norm) on ℒ is a mapping satisfying the following conditions:
-
(i)
() () (boundary condition);
-
(ii)
() () (commutativity);
-
(iii)
() () (associativity);
-
(iv)
() () (monotonicity).
A t-norm can also be defined recursively as an -ary operation () by and
for and .
The t-norm M defined by
is a continuous t-norm.
Definition 4.5 ([20])
A t-norm on is called t-representable if and only if there exist a t-norm T and a t-conorm S on such that, for all ,
Definition 4.6 A negation on ℒ is any strictly decreasing mapping satisfying and . If , for all , then is called an involutive negation.
In this paper, is fixed. The negation on defined, for all , by , is called the standard negation on .
Definition 4.7 The 3-tuple is said to be an ℒ-fuzzy normed space if X is a vector space, is a continuous t-norm on ℒ and is an ℒ-fuzzy set on satisfying the following conditions for every x, y in X and t, s in :
-
(a)
;
-
(b)
if and only if ;
-
(c)
for each ;
-
(d)
;
-
(e)
is continuous;
-
(f)
and .
In this case is called an ℒ-fuzzy norm. If is an intuitionistic fuzzy set and the t-norm is t-representable, then the 3-tuple is said to be an intuitionistic fuzzy normed space.
Definition 4.8 A sequence in an ℒ-fuzzy normed space is called a Cauchy sequence if for each and , there exists such that
for each ; here is an involutive negation. The sequence is said to be convergent to in the ℒ-fuzzy normed space and denoted by if whenever for every . An ℒ-fuzzy normed space is said to be complete if and only if every Cauchy sequence is convergent.
Lemma 4.9 ([21])
Let be an ℒ-fuzzy norm on X. Then:
-
(i)
is non-decreasing with respect to t, for all x in X;
-
(ii)
, for all in X and .
Definition 4.10 Let be an ℒ-fuzzy normed space. For , we define the open ball with center and radius , as
A subset is called open if for each , there exist and such that . Let denote the family of all open subsets of X. Then is called the topology induced by the ℒ-fuzzy norm .
A subset is called compact if every open covering has a finite sub-covering. Also a subset is called closed if from , for all , and it follows that .
Theorem 4.11 Let be an ℒ-fuzzy normed space. A subset is closed if and only if is open.
Remark 4.12 ([7])
In an ℒ-fuzzy normed space whenever for , and , we can find a such that .
Corollary 4.13 Let be an open ball in an ℒ-fuzzy normed space and let z be a member of it. Then there exists such that .
Definition 4.14 Let be an ℒ-fuzzy normed space. A subset A of X is said to be -bounded if there exist and such that for each .
Theorem 4.15 In an ℒ-fuzzy normed space every compact set is closed and -bounded.
Definition 4.16 Let X and Y be two ℒ-fuzzy normed spaces. A function is said to be continuous at a point if for any sequence in X converging to a point , the sequence in Y converges to . If g is continuous at each , then is said to be continuous on X.
Example 4.17 ([17])
Let be an ordinary normed space and ϕ be an increasing and continuous function from into such that . Four typical examples of these functions are as follows:
Let and . For any , we define
then is a fuzzy normed space.
Let be an ℒ-fuzzy normed space. Let be a sequence in X. If
for some , and , then the sequence is Cauchy.
Lemma 4.19 Let be an ℒ-fuzzy normed space. Define
for all and . Then define an ℒ-fuzzy norm on .
Proof Let then , which implies that , the converse is trivial,
for , and ,
for and . □
Lemma 4.20 Let be an ℒ-fuzzy norm on . If
for some , and , then the sequences , , and are Cauchy.
Proof By Lemmas 4.18 and 4.19 the proof is easy. □
Definition 4.21 ([24])
Let X be a non-empty set. An element is called a tripled fixed point of if
Definition 4.22 Let X be a non-empty set. An element is called a tripled coincidence point of mappings and if
Definition 4.23 ([24])
Let be a partially ordered set. A mapping is said to have the mixed monotone property if F is monotone non-decreasing in its first and third argument and is monotone non-increasing in its second argument, that is, for any
and
Definition 4.24 Let be a partially ordered set, and . A mapping is said to have the mixed g-monotone property if F is monotone g-non-decreasing in its first and third argument and is monotone g-non-increasing in its second argument, that is, for any
and
Lemma 4.25 ([25])
Let X be a non-empty set and be a mapping. Then there exists a subset such that and is one-to-one.
5 Main results
Theorem 5.1 Let be a complete ℒ-fuzzy normed space, ⪯ be a partial order on X. Suppose that has mixed monotone property and
for all those x, y, z, u, v, w in X for which , , , where . If either
-
(a)
F is continuous or
-
(b)
X has the following properties:
-
(bi)
if is a non-decreasing sequence and then for all ,
-
(bii)
if is a non-decreasing sequence and then for all ,
-
(biii)
if is a non-decreasing sequence and then for all ,
-
(bi)
then F has a tripled fixed point provided that there exist such that
Proof Let be such that
As , so we can construct sequences , and in X such that
Now we show that
Since
(5.3) holds for . Suppose that (5.3) holds for any . That is,
As F has the mixed monotone property, by (5.4) we obtain
which on replacing y by and z by in (i) implies that , replacing x by and z by in (ii), we obtain , replacing y by and x by in (iii), we get . Thus we have , that is, . Similarly, we have
which on replacing y by and x by in (iv) implies that , replacing x by and y by in (v), we obtain , replacing y by in (vi), we get . Thus we have , that is, . Similarly, we have
which on replacing y by and x by in (vii) implies that , replacing x by and z by in (viii), we obtain , replacing y by and z by in (xi), we get . Thus we have , that is, . So by induction, we conclude that (5.4) holds for all , that is
Consider
Also,
Now,
By (5.8)-(5.10), we obtain
for . By Lemma 4.20 we conclude that , , and are Cauchy sequences in X. Since X is complete, there exist x, y, and z such that , , and . If the assumption (a) does hold, then we have
and
Suppose that assumption (b) holds then
which, on taking the limit as , gives , . Also,
which on taking the limit as , implies , . Finally, we have
which on taking the limit as , gives , . □
Theorem 5.2 Let be a complete ℒ-fuzzy normed space, ⪯ be a partial order on X. Let , and be mappings such that F has a mixed g-monotone property and
for all those x, y, z, and u, v, w for which , , , where . Assume that is complete, and g is continuous. If either
-
(a)
F is continuous or
-
(b)
X has the following properties:
-
(bi)
if is a non-decreasing sequence and then for all ,
-
(bii)
if is a non-decreasing sequence and then for all , and
-
(biii)
if is a non-decreasing sequence and then for all ,
-
(bi)
then F has a tripled coincidence point provided that there exist such that
Proof By Lemma 4.25, there exists such that is one-to-one and . Now define a mapping , by
Since g is one-to-one, so is well defined. Now, (5.11) and (5.12) implies that
for all for which , , . Since F has a mixed g-monotone property for all , so we have
Now, from (5.12) and (5.14) we have
Hence has a mixed monotone property. Suppose that assumption (a) holds. Since F is continuous, is also continuous. By using Theorem 5.1, has a tripled fixed point . If assumption (b) holds, then using the definition of , following similar arguments to those given in Theorem 5.1, has a tripled fixed point . Finally, we show that F and g have tripled coincidence point. Since has a tripled fixed point we get
Hence, there exist such that , , and . Now, it follows from (5.16) that
Thus is a tripled coincidence point of F and g. □
Example 5.3 ([17])
Let . Consider Example 4.17 and let be defined by for all . Then
for all and .
If X is endowed with the usual order as , then is a partially ordered set. Define mappings , and by
Obviously, F and g both are onto maps, so , also F and g are continuous and F has the mixed g-monotone property. Indeed,
Similarly, we can prove that
and
If, , , , then
So there exist such that
Now for all , for which , , , we have
for . Hence there exists such that
for all , for which , , .
Therefore all the conditions of Theorem 5.2 are satisfied. So F and g have a tripled coincidence point and here is a tripled coincidence point of F and g.
6 Application
In this section, we study the existence of a unique solution to an initial value problem, as an application to the our tripled fixed point theorem.
Consider the initial value problem
where and .
An element is called a tripled initial value problem (6.1) if
for each together with the initial condition
Theorem 6.1 Let be a complete ℒ-fuzzy normed space with the following order relation on :
and fuzzy norm
Consider the initial value problem (6.1) with which is non-decreasing in the second and fourth variables and non-increasing in the third variable. Suppose that for , , and , we have
where . Then the existence of a tripled solution for (6.1) provides the existence of a unique solution of (6.1) in .
Proof The initial value problem (6.1) is equivalent to the integral equation
Suppose is a non-decreasing sequence in that converges to . Then, for every , the sequence of the real numbers
converges to . Therefore, for all and , we have . Hence for all . Also, is a partially ordered set if we define the following order relation in :
Define by
Now, for , and , we have
hence
Then F satisfies the condition (5.1) of Theorem 5.1. Now, let be a tripled solution of the initial value problem (6.1); then we have , and . Then Theorem 5.1 shows that F has a unique tripled fixed point. □
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Saadati, R., Kumam, P. & Jang, S.Y. On the tripled fixed point and tripled coincidence point theorems in fuzzy normed spaces. Fixed Point Theory Appl 2014, 136 (2014). https://doi.org/10.1186/1687-1812-2014-136
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DOI: https://doi.org/10.1186/1687-1812-2014-136