1. Introduction
The basic operations in (conventional) vector space are vector addition and scalar multiplication. Based on these two operations, the vector space should satisfy some required conditions (eight axioms in total) by referring to [
1,
2,
3,
4,
5]. However, some spaces cannot comply with all of the axioms given in vector space. For example, the space consisting of all subsets of
cannot satisfy all of the axioms in vector space (Wu [
6]). Also, the space consisting of all fuzzy numbers in
cannot satisfy all of the axioms in vector space, where the addition and scalar multiplication of fuzzy sets are considered (Wu [
7]). The main reason is that the additive inverse element does not exist.
Let
S and
T be two subsets of
. The addition and scalar multiplication for the subsets of
are defined by
Let
denote the family of all subsets of
. Given any
, the subtraction
by itself is given by
which cannot be the zero element in
. Therefore, in this paper, we propose the concept of null set for the purpose of playing the role of a zero element in the so-called informal vector space. Since the informal metric space is a completely new concept, there are no available, relevant references for this topic. The readers may instead refer to the monographs [
1,
2,
3,
4,
5] on topological vector spaces and the monographs [
8,
9,
10] on functional analysis.
In this paper, we propose the concept of informal vector space that can include the space consisting of all bounded and closed intervals in and the space consisting of all fuzzy numbers in . We also introduce the concept of null set that can be regarded as a kind of “zero element” of informal vector space. When the null set is degenerated as a singleton set , an informal vector space will turn into a conventional vector space with the zero element . In other words, the results obtained in this paper can be reduced to the results in conventional vector space when the null set is taken to be a singleton set.
Based on the concept of null set, we can define the concept of almost identical elements in informal vector space. We can also endow a metric to the informal vector space defining the so-called informal metric space. This kind of metric is completely different from the conventional metric defined in vector space, since it involves the null set and almost identical concept. The most important triangle inequality is still included in an informal metric space. Based on this metric, the concepts of limit and class limit of a sequence in informal metric space are defined herein. Under this setting, we can similarly define the concept of a Cauchy sequence, which can be used to define the completeness of informal metric space. The main aim of this paper was to establish the so-called near-fixed point in informal, complete metric space, where the near fixed point is based on the almost identical concept. We shall also claim that if the null set is degenerated as a singleton set, then the concept of near a fixed point is identical to the concept of a (conventional) fixed point.
In
Section 2 and
Section 3, the concept of informal vector space and informal metric space are proposed. The interesting properties are derived in order to study the new type of fixed point theorems. In
Section 4, according to the informal metric, the concept of a Cauchy sequence is similarly defined. The completeness of informal metric space is also defined according to the concept of Cauchy sequences. In
Section 5, we present many new types of fixed point theorems that are established using the almost identical concept in informal metric space.
2. Informal Vector Spaces
Let X be a universal set, and let be a scalar field. We assume that X is endowed with the vector addition and scalar multiplication for any and . In this case, we call X a universal set over . In the conventional vector space over , the additive inverse element of x is denoted by , and it can also be shown that . In this paper, we shall not consider the concept of inverse elements. However, for convenience, we still adopt .
For , the substraction is defined by , where means the scalar multiplication . For any and , we have to mention that and in general, unless for any . In this paper, this law will not always be assumed to be true.
Example 1. Let C be a subset of complex plane defined by The usual addition and scalar multiplication in are defined by Given any , its additive inverse in denoted by is We see that . Therefore, the subset C is not closed under the above scalar multiplication. In other words, the subset C cannot form a vector space. However, if the scalar multiplication in the subset C is defined by then the subset C is closed under the above addition and this new scalar multiplication. In this case, we shall consider the subset C as an informal vector space that will be defined below.
Example 2. Let be the set of all closed intervals in . The addition is given by and the scalar multiplication is given by We see that cannot be a (conventional) vector space, since the inverse element cannot exist for any non-degenerated closed interval. On the other hand, the distributive law for scalar addition does not hold true in ; that is, the equality cannot hold true for any and . This shows another reason why cannot be a (conventional) vector space.
Definition 1. Let X be a universal set over the scalar field . We define the null set
of X as follows We say that the null set Ω satisfies the neutral condition if and only if implies .
Example 3. Continued from Example 1, for any , we have Therefore, the null set Ω is given by Now we are in a position to define the concept of informal vector space.
Definition 2. Let X be a universal set over . We say that X is an informal vector space over if and only if the following conditions are satisfied:
for any ;
implies and for any and ;
The commutative and associative laws for vector addition hold true in X; that is, and for any .
Definition 3. Let X be an informal vector space over with the null set Ω. Given any , we say that x and y are almost identical if and only if any one of the following conditions is satisfied:
;
There exists such that or ;
There exists such that .
In this case, we write .
Remark 1. Suppose that the informal vector space X over with the null set Ω contains the zero element θ; that is, for any . Then, we can simply say that if and only if exists, such that (i.e., only the third condition is satisfied), since the first and second conditions can be rewritten as the third condition by adding the zero element θ. We also remark that if we want to discuss some properties based on , it suffices to consider the third condition , even though X does not contain the zero element θ. The reason is that the same arguments are still applicable for the first and second conditions.
According to the binary relation
, for any
, we define the class
The family of all classes for is denoted by . For , it is not necessarily that the class is equal to the class , unless the binary relation is an equivalence relation.
Proposition 1. Let X be an informal vector space over with the null set Ω. If Ω is closed under the vector addition, then the binary relation is an equivalence relation.
Proof. For any
,
implies
, which shows the reflexivity. According to the definition of the binary relation
, the symmetry is obvious. Regarding the transitivity, for
and
, we want to claim
. From Remark 1, it suffices to just consider the cases of
for some
for
. By the associative and commutative laws for vector addition, we have
which shows
, since
is closed under the vector addition. This completes the proof. ☐
Let
X be an informal vector space over
with the null set
such that
is closed under the vector addition. Proposition 1 says that the classes defined in (
1) form the equivalence classes. It is clear to see that
implies
. In other words, the family of all equivalence classes form a partition of the whole set
X.
We also need to remark that the space
is still not a (conventional) vector space. The reason is that not all of the axioms taken in the vector space will be satisfied in
, since the original space
X does not satisfy all of the axioms in the vector space. For example, we consider the informal vector space
over
from Example 2. The quotient set
cannot be a real vector space, since
for
. The reason is that
for
and
.
4. Cauchy Sequences
In this section, we are going to introduce the concepts of Cauchy sequences and completeness in the informal metric space. We first introduce the concept of limit in the informal metric space.
Definition 5. Let X be an informal vector space over with the null set Ω, and let be a pseudo-metric space. The sequence in X is said to be convergent
if and only if The element x is called the limit of the sequence .
The sense of uniqueness of limit will be different for the metric space and informal metric space. Let
be a sequence in
. If there exists
such that
then, by the triangle inequality (iii) in Definition 4, we have
which says that
.
Suppose that is a metric space. By condition () in Definition 4, we see that . This shows the uniqueness.
Suppose that is an informal metric space. By condition (i) in Definition 4, we see that . Recall that if is closed under the vector addition, then we can consider the equivalence classes. In this case, we also see that y is in the equivalence class .
On the other hand, we further assume that
d satisfies the null equality. If
is a sequence in
X such that
as
, then, for any
, i.e.,
for some
, we also have
as
, as shown below:
Therefore, we propose the following definition.
Definition 6. Let be an informal pseudo-metric space with the null set Ω. If is a sequence in X such thatfor some , then the class is called the class limit
of . We also write Proposition 2. Let be an informal pseudo-metric space with the null set Ω such that Ω is closed under the vector addition. Then, the class limit in the informal metric space is unique.
Proof. Let
be a convergent sequence in
X with the class limits
and
. According to the definition, we have
Using (
2), it follows that
, which also implies
, i.e.,
. This shows the uniqueness in the sense of class limit. ☐
Definition 7. Let be an informal metric space.
A sequence in X is called a Cauchy sequence if and only if, given any , exists, such that for all and .
A subset M of X is said to be complete if and only if every Cauchy sequence in M is convergent to some element in M.
Proposition 3. Every convergent sequence in an informal metric space is a Cauchy sequence.
Example 5. Continued from Example 4, we see that is an informal metric space such that d satisfies the null equality. We are going to claim that is complete. Given a sequence in the informal metric space by for , suppose that is a Cauchy sequence. Then, given any , for sufficiently large n and m, we have Let . Then, the expression (3) shows that is a Cauchy sequence in . The completeness of says that exists, satisfying for sufficiently large n. Now we define a bounded closed interval satisfying . Thenfor a sufficiently large n, which says that the sequence converges to . Therefore, we conclude that the space is complete. 5. Near Fixed Point Theorems
Let X be a universal set, and let be a function from X into itself. We say that is a fixed point if and only if . The well-known Banach contraction principle presents the fixed point of function T when X is taken to be a complete metric space. We shall study the Banach contraction principle when X is taken to be an informal complete metric space.
Definition 8. Let X be an informal vector space over with a null set Ω, and let be a function defined on X into itself. A point is called a near fixed point of T if and only if .
Example 6. Continued from Example 5, we see that the null set Ω in is given bywhich is closed under the vector addition. Let be a function from into itself. Suppose that is a near fixed point of T, i.e., . By definition, nonnegative numbers and exist such that one of the following equalities is satisfied: ;
;
,
where and are in the null set Ω.
Remark 2. We have the following observations.
By definition, we see that if and only if exist, such that , , or or .
If the informal vector space X owns a zero element θ, then the (conventional) fixed point is also a near fixed point.
If the informal vector space X turns into a (conventional) vector space over , then the concepts of near fixed point and (conventional) fixed point are equivalent.
Definition 9. Let be an informal metric space. A function is called a contraction of
X if and only if there is a real number such thatfor any . Example 7. Continued from Example 4, suppose that T is a contraction of . Then, a real number exists, such thatfor any . In particular, we take to be a collection of all subintervals of . Now, we take bywhere . From Example 4, we havewhich says that T is a contraction of . Given any initial element
, we define the iterative sequence
using the function
T as follows:
Under some suitable conditions, we are going to show that the sequence can converge to a near fixed point.
Theorem 1. Let be an informal complete metric space with the null set Ω such that d satisfies the null equality. Suppose that Ω is closed under the vector addition, and that the function is a contraction of X. Then T has a near fixed point satisfying . More precisely, the near fixed point x can be obtained by the following limitwhere the sequence is generated by the iteration (4). Moreover, we have the following properties. There is a unique equivalence class satisfying that if , then cannot be a near fixed point, which shows the sense of uniqueness.
Suppose that . Then is also a near fixed point of T satisfying and .
Suppose that is a near fixed point of T. Then ; i.e., . In other words, if x and are the near fixed points of T, then .
Proof. Proposition 1 says that the family of all classes
for
forms the equivalence classes. Given any initial element
, we can generate the iterative sequence
using (
4). We want to claim that
is a Cauchy sequence. Since
T is a contraction of
X, we have
For
, using the triangle inequality, we obtain
Since
, we have
in the numerator, which says that
This shows that is indeed a Cauchy sequence. The completeness says that exists, satisfying , i.e., from Definition 6 and Proposition 2.
Now, we want to claim that any point
is a near fixed point. We first have
for some
. According to the triangle inequality and using the fact of contraction of
X, we obtain
which implies
as
. We conclude that
for any point
.
Now, we assume that there is another near fixed point
of
T satisfying
, i.e.,
. Then
for some
,
. Since
T is a contraction of
X and
d satisfies the null equality, we obtain
which implies
, since
. Therefore, we obtain
, which contradicts
. This says that any
cannot be a near fixed point. Equivalently, if
is a near fixed point of
T, then
. This completes the proof. ☐
Example 8. Continued from Example 5, we see that is a complete informal metric space, such that d satisfies the null equality. Suppose that T is a contraction of . Then, there exists a real number such thatfor any . Given any initial element , we can generate the iterative sequence using the function T, where , as follows:that is, Using Theorem 1, the near fixed point is obtained by the limit Definition 10. Let be an informal metric space with the null set Ω, and let Ω be closed under the vector addition. A function is called a weakly strict contraction of X if and only if the following conditions are satisfied:
, i.e., implies ;
, i.e., implies .
We see that if T is a contraction of X, then it is also a weakly strict contraction of X.
Theorem 2. Let be an informal, complete metric space with the null set Ω, and let Ω be closed under the vector addition. Suppose that the function is a weakly strict contraction of X. If forms a Cauchy sequence for some , then T has a near fixed point satisfying . More precisely, the near fixed point x can be obtained by the following limit Assume further that d satisfies the null equality. Then, we also have the following properties.
There is a unique equivalence class satisfying that if then cannot be a near fixed point, which shows the sense of uniqueness.
Suppose that . Then is also a near fixed point of T, satisfying and .
Suppose that is a near fixed point of T. Then ; i.e., . In other words, if x and are the near fixed points of T, then .
Proof. The assumption says that is a Cauchy sequence. Since X is complete, it follows that exists, such that . From Definition 6 and Proposition 2, we see that . Now, given any , there exists an integer N, such that for . Two cases will be considered.
Suppose that
. Since
T is a weakly strict contraction of
X, it follows that
Suppose that
. Since
T is a weakly strict contraction of
X, we have
Therefore, we conclude that
. The triangle inequality says that
Therefore, we obtain , i.e., . This shows that x is a near fixed point.
Now, we assume further that
d satisfies the null equality. We want to show that each point
is a near fixed point of
T. Since
, we have
for some
. The null equality says that
Therefore, we can also obtain
as
by using the above argument. On the other hand, the triangle inequality also says that
which implies
. Therefore, we obtain
for any point
.
Suppose that
and
is another near fixed point of
T. Then, we have
and
, i.e.,
. We also have
and
, where
for
. Now, we obtain
Therefore we led to a contradiction, which says that cannot be a near fixed point of T. In other words, if is a near fixed point of T, then . This completes the proof. ☐
Meir and Keeler [
11] studied the fixed point theorem for the weakly-uniformly strict contraction. Therefore, under the informal metric space
, we propose the following definition by considering the fact
for
.
Definition 11. Let be an informal metric space with the null set Ω, and let Ω be closed under the vector addition. A function is called a weakly uniformly strict contraction of X if and only if the following conditions are satisfied:
, i.e., implies ;
given any , exists, such that implies for any , i.e., .
Remark 3. It is clear to see that if T is a weakly uniformly strict contraction of X, then it is also a weakly strict contraction of X.
Lemma 1. Let be an informal metric space with the null set Ω, and let Ω be closed under the vector addition. Let be a weakly uniformly strict contraction of X. Then the sequence is decreasing to zero for any .
Proof. For convenience, we write for all n. Let .
Suppose that
. By Remark 3, we have
Suppose that
. Then, by the first condition of Definition 11,
Therefore, we conclude that the sequence is decreasing. Now, we also consider the following two cases.
Let
m be the first index in the sequence
such that
. Then, we can show that
. Since
, we have
. The first condition of Definition 11 says that
which implies
; i.e.,
. We can similarly obtain
and
. Therefore, the sequence
is decreasing to zero.
Suppose that
for all
. Since the sequence
is decreasing, we can assume that
, i.e.,
for all
n, which says that
exists, such that
for some
m, i.e.,
. The second condition of Definition 11 says that
which contradicts
.
This completes the proof. ☐
Theorem 3. Let be an informal complete metric space with the null set Ω, and let Ω be closed under the vector addition. Let be a weakly uniformly strict contraction of X. Then T has a near fixed point satisfying . More precisely, the near fixed point x is obtained by the following limit Assume further that d satisfies the null equality. Then we also have the following properties.
There is a unique equivalence class satisfying that if , then cannot be a near fixed point, which shows the sense of uniqueness.
Suppose that . Then is also a near fixed point of T satisfying and .
Suppose that is a near fixed point of T. Then ; i.e., . In other words, if x and are the near fixed points of T, then .
Proof. From Theorem 2 and Remark 3, we just need to show that if
T is a weakly uniformly strict contraction, then
is a Cauchy sequence for
. Suppose that
is not a Cauchy sequence. By definition,
exists, such that, given any
N,
exists, satisfying
. The assumption says that
T is a weakly uniformly strict contraction on
X. Therefore,
exists, such that
Let
. We want to show that
It is clear to see that if , i.e., , then .
Let
. Lemma 1 says that the sequence
is decreasing to zero. Therefore, we can find
N such that
. For
, we have
which implicitly says that
. Since
is decreasing, we obtain
For
j with
, we also have
We want to show that
j with
exists, such that
and
Let
for
. Then (
6) and (
7) say that
Let
be an index satisfying
Using (
10), we have
. This says that
is well-defined. The definition of
also says that
and
. Therefore, we obtain
, which says that the expression (
9) will be sound if we can show that
Suppose that this is not true; i.e.,
. Using (
8), we obtain
which contradicts the fact that (
9) is sound. Since
, forms (
5), we see that (
9) implies
Therefore, we obtain
which contradicts (
9). Therefore, every sequence
is a Cauchy sequence. This completes the proof. ☐