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. ☐