1. Introduction and Preliminaries
In 1922, Stefan Banach [
1] proved his famous result “Banach contraction principle”, which states that
“let be a complete metric space and be a contraction, then T has a unique fixed point”. The constructive proof of theorem helps the researchers working in Computer Sciences to develop algorithm based upon the proof of theorem, and it able them to solve complex networking problem by relating it with “fixed point problem”. This is one of its application in Computer Sciences. Later, researchers found its applications in several branches of sciences, specially, Economics, Data Science, Physics, Medical Science, Game Theory, etc. Due to several application of “fixed point theory”, researchers was motivated to further generalize it in different directions, by generalizing the contractive conditions, underlying space and concept of completeness. Among the several generalizations of “Banach fixed point theorem”, weak contractive conditions were introduced for finding unique “fixed point”. Often these weak conditions are related with metric spaces and some time are related with contractive conditions. In case of self-mappings, the solution
of the operator equation
is the
“fixed point” of mapping
T (such that
, if mapping
T is nonself, then “fixed point” of
T will not exist. In this case, if
T is nonself-mapping, then we cannot find any such
that satisfy the “fixed point” problem
(or
), then it is evident to minimize the
; any such
that minimize the given optimization problem:
is known as the
“approximate fixed point” of T.
Further, for nonself mappings
, where sets
U and
V are nonempty subsets of metric space
, also
. In this case,
, then
, where
, in this scenario, is the minimization/optimization problem (
1) that reduces to best proximity point problem, and any point
that satisfies
is called
“best proximity point” of T. Note that if condition
is removed then
, in this case, every best proximity point can be reduced to “fixed point” of
T.
Finding the “best proximity points” for two mappings is another kind of generalization of “best proximity point”; any that satisfies ; here, U and V are nonempty subsets of and and let be any mapping. Point is called “coincidence best proximity point” of mappings g and T. If (identity over U) then every “coincidence best proximity point” will reduced to “best proximity point” of mapping T.
Extreme values are the largest and smallest values a function attains in specific interval. These extreme values of functions peaked our interest by observing how it knew the highest/lowest values of a stock or the fastest/slowest a body is moving. All these kinds of problems are related (to lower the risk and increase the benefit/profit) with optimization problem. The best proximity points are actually approximate fixed points with least error; we model the given optimization problem with a functional equation or operator, then we optimize the given model using best approximation technique. Now, these functions observe some very specific properties that would be hard to find in real-world problems, so as to relate these functions with specific constraints.
In 1989 and 1993, Bakhtin [
2] and Czerwik [
3], respectively, introduced the concept of
b-metric space. As an application, Equation (
2) is used in several iterative schemes, and the homotopy perturbation method (see, for details, in [
4,
5]. After the revolution in mathematics due to L. Zadeh ([
6]), by presenting the concept of fuzzy sets, Kramosil and Veeramani [
7,
8,
9] introduced the revolutionary idea of fuzzy metric spaces. Several authors around the globe studied fixed point theory in a new and different environment of fuzzy metric space. It gets more exposure due to the vast applications of fuzzy metric spaces in controlling the noise in data, smoothing the data, and decision-making, but the authors did not pay attention to study the best proximity point theory in fuzzy metric spaces. In 2012, N. Saleem et al. investigated best proximity and coincidence point results in fuzzy metric spaces [
10,
11,
12,
13,
14,
15].
Among the several generalization of fixed and best proximity point theory, one is to generalize the contractive conditions and generalize the underlying spaces. Also, researcher try to study the best proximity point results for multivalued mapping (this was not an easy task). Several authors obtained best proximity points for multivalued mapping, for details, see [
13]).
In generalization of contractive conditions, the existence and convergence of best proximity points were discussed by various author (for details, see [
16,
17,
18,
19]).
T. Suzuki [
20,
21] generalized the Banach contraction principle; later, A. Akbar and M. Gabeleh [
22] studied the best proximity point for Suzuki-type contraction.
We will use the following notions in our main results.
Definition 1 ([
3]).
Let X be a nonempty set and the mapping satisfies- (b1)
iff ,
- (b2)
,
- (b3)
, for all in X,
where s is any real number such that , then is known as b-metric space.
Note that, henceforth, X will represent a complete b-metric space instead of , and and are nonempty subsets of complete b-metric space X until otherwise stated.
Definition 2 ([
2]).
Let X be a b-metric space and , thenA sequence is convergent and converges to u in X if, for every , there exists such that , for all , is represented as or as .
A sequence is Cauchy sequence in X, if for every , there exists , such thator equivalently, if A b-metric space X is a complete b-metric space if every Cauchy sequence in is convergent in X.
In 2012, Samet et al. [
30] introduced the concept of
–
-contraction and
-admissible mapping and proved various fixed point theorems. Further, Samet introduced the concept of
-admissible mapping, defined as follows.
Definition 3 ([
30]).
Let and be a mapping, then T is an α-admissible mapping if Definition 4 ([
31]).
If U and V are two nonempty subsets of metric space X and , then is known as α-proximal admissible mapping, iffor all . Remark 1 ([
31]).
If we take in above definition, then α-proximal admissible mapping becomes α-admissible mapping. Definition 5. Let be a metric space, a mapping is said to be isometry mapping iffor all . Proposition 1 ([
32]).
A self-mapping is said to satisfy —property if there exist a mapping such that Definition 6 ([
20]).
Let U and V be two nonempty subsets of metric space with , then the pair satisfies weak P-property iffor all and . Now, we are going to define a Pompeiu–Hausdroff metric [
33] on
as
for
, where
represents the closed and bounded subsets of
X.
Definition 7 ([
30]).
Let represent the family of all functions , satisfying the following. is continuous and increasing function;
if and only if ; here, is a sequence from the domain of ,
if for all , there exists r, such that then .
, for all .
A function if it satisfies the properties and a function if satisfies all the conditions of and additional property .
Now, we are going to define some classes of comparison functions which carry some particular properties as follows.
Definition 8 - (a)
Consider as a class of increasing functions and , for any .
A function is called comparison function, which is continuous at , and for any -iteration of a comparison function ψ is also a comparison function, further for any positive u .
- (b)
is class of functions, consisting upon the nondecreasing functions ψ, and is finite, for all .
Clearly, .
- (c)
is class of functions, consisting upon increasing functions, and there exists and a series of non-negative numbers is convergent , such that for any , The function is known as a c-comparison function.
- (d)
is class of function, consisting upon monotone increasing functions and there exists an and a convergent series of non-negative numbers such that for any The function is known as a b-comparison function.
Note that, if , then .
Lemma 1 ([
34]).
If ψ is a b-comparison function with , then the series is convergent for and the function is increasing and continuous at . Lemma 2 ([
37]).
If a sequence in a b-metric space, satisfiesfor some , then is a Cauchy sequence in X provided that . Note that through out this article, we assume that (b-metric) is continuous.
2. Main Results
Now, we will introduce the Suzuki-type –-modified proximal contraction and Suzuki-type –-modified proximal contraction as follows.
Definition 9. - 1.
A pair of mappings where and is called Suzuki-type α–-modified proximal contraction, if T is α-proximal admissible, andimplies thatwhere - 2.
A mapping is called a Suzuki-type α–ψ-modified proximal contraction, if T is α-proximal admissible, andimplies thatwherefor , (a b-comparison function)
Note that from now an onward, we will use
for all
, and
denotes the closed and bounded subsets of
V.
Our first result related with “coincidence best proximity point” for a pair of mappings , which satisfy Suzuki-type –-modified proximal contraction is as follows.
Theorem 1. Let U and V be nonempty and closed subsets of a complete b-metric space (. Consider a pair of continuous mappings that satisfy Suzuki-type α–-modified proximal contractive condition with , , where g is an isometry mapping satisfying -property. Also, the pair of subsets satisfies the weak P-property. Further suppose that there exist some , such thatthen, mappings has a unique coincidence best proximity point. Proof. Let
such that
and
. As
, there exist an element
such that
. As
T is
-proximal admissible, we have
; also,
g satisfies
-property, and therefore
implies
. Further,
As
which further implies that
As
and the pair of mappings
are Suzuki-type
–
-modified proximal contractions, we have
where
As the pair of sets
satisfies the weak
P-property and the mapping
g is an isometry mapping, we have
If
, then from (
3), we have
which shows that
is the coincidence best proximity point of pair
and the proof is complete.
Now, consider if
, then
. Further, from inequality (
6), suppose that
then inequality (
6) implies that
which holds true if
, then proof is finished, and we will obtain
as a “coincidence best proximity point” of the mappings
g and
T, so from (
3), we have
If
, then from (
7),
which is a contradiction, therefore
from (
6), we have
Thus, there exist some
such that
where
. Now, consider two distinct elements,
, such that
with
. As
, there exist an element
such that
. As
T is
-proximal admissible mapping,
, which implies that
(as
g satisfies the
-property), and we have
from (
9), we can write
as
. If we set
, then
. If
then from (
10),
will be the coincidence best proximity point of mappings
g and
T, then the proof of theorem is finished. Now, consider
, then we have
After simplification, we have
As
and mapping
T is Suzuki-type
–
-modified proximal contraction, then we have
where
As the pair of sets
satisfies the weak
P-property and mapping
g is isometry, so we have
Suppose
, then inequality (
13) implies that
which holds true if
; in this case,
becomes coincidence best proximity point for pair of mappings
and the proof is finished. If
, then inequality (
14) implies
which is a contradiction; therefore,
from inequality (
13), and we have
As
, then, from inequality (
16), we have
If we set
, then
. Continuing in this way, we can obtain a sequence
in
such that
As
and mapping
T is Suzuki-type
–
-modified proximal contractive condition, we can write
where
As the pair of sets
satisfies the weak
P-property and
g is isometry mapping, we have
If
for some
, then, from (
17), we have
which shows that
is the coincidence best proximity point of pair
. Suppose
, then
, for all
. Suppose that
for all
, then inequality (
20) can be written as
which is a contradiction, therefore
; then, from inequality (
20), we have
and
where
Now, we have to prove that
is a Cauchy sequence in
U. Note that
Assume
. Then, the above inequality can be written as
It follows from Lemma (1) that
converges for any
. Thus,
, for some
. If
, then from inequality (
24), we have
If
, then from inequality (
24), we have
Therefore,
and
is a Cauchy sequence in
. As
is a closed subset of complete
metric space
, then there exist
z X, such that
As
are continuous mappings, we can deduce that
, as
. Therefore,
which shows that
z is the coincidence best proximity point of pair
.
For the uniqueness of coincidence best proximity point of
T, suppose to the contrary that
are two coincidence best proximity points of pair
with
, so we have
As the pair
satisfies the weak
P-property and mapping
g is isometry, then we have
After simple calculations, we have
(as
g is isometry mapping), then we have
which is a contradiction, and therefore the coincidence best proximity point is unique. □
In our next result, we proved the existence and uniqueness of best proximity point for Suzuki-type –-modified proximal contraction T in complete b-metric space.
Theorem 2. Let U and V be nonempty closed subsets of a complete b-metric space X. Consider a continuous mapping, T, that satisfies the Suzuki-type α–ψ-modified proximal contractive condition, and . Also, the pair of subsets satisfy the weak P-property. Further, suppose that there exist some , such thatthen mapping T has a unique best proximity point. Proof. By taking mapping (identity mapping over U is isometry mapping), the remaining proof is in line with Theorem (1). □
The following example is presented to elaborate the result presented in Theorem (2).
Example 1. Consider be a complete b-metric space , if Also, suppose thatare the nonempty subsets of X. After simple calculation, we have , For all and ; further, pair satisfies weak P-property, as is b-metric with . Now, consider a mapping, , defined asclearly . Now, we have to show that mapping T satisfy the Suzuki-type α–ψ-modified proximal contraction. The following part of Suzuki-type α–ψ-modified proximal contraction holds for all , Now, we must show that the second part of Suzuki-type α–ψ-modified proximal contraction holds for all Now, consider if and , where . Then, we haveFurther, if and , thenthen, after simple calculation, inequality (25) holds true for all . By considering for all , and , then inequality (26) holds true for all , which shows that T satisfy the Suzuki-type α–ψ-modified proximal contractive condition; further, all conditions of Theorem (1) hold true, therefore T has best proximity points in U. Corollary 1. Let be two nonempty and closed subsets of a complete b-metric space X. Suppose be a continuous Suzuki-type α–ψ-modified proximal contraction with and pair satisfies the weak P-property. Further, suppose that if there exist some , such thatthen mapping T has a unique best proximity point. Corollary 2. Let be nonempty and closed subsets of a complete b-metric space X and pair satisfy the weak P-property. Suppose a continuous mapping satisfyingimplies thatfor all . Further, if there exist some , such thatthen mapping T has unique best proximity point. Proof. After simple calculations, we have
and the rest proof of this corollary is on the same lines as Theorem (1). □
Remark 2. It is clear that all the above results hold for complete metric space by taking .
5. Application to Fixed Point Theory
In this section, we will provide some results related fixed point theory for modified Suzuki contraction. Our result extends [
21] and also generalize the main theorem of Suzuki [
39].
Here, if we consider , then we have the following definitions.
Definition 14. A mapping is Suzuki-type α–ψ-modified contraction if Definition 15. A mapping is Suzuki-type α–θ-modified contraction iffor all and Now, from Theorems (2) and (4), we can deduce new results related with fixed point theorems.
Theorem 7. Let be a complete b-metric space and consider a continuous mapping be a Suzuki-type α–ψ-modified contraction; further, if there exist with , then mapping T has a unique fixed point.
Proof. We take
in Theorem (2), as for self-mapping every proximal Suzuki-type
–
-modified contraction becomes Suzuki-type
–
-modified contraction, and from (1), for self mapping, every proximal
-admissible mapping becomes
-admissible mapping, all conditions of Theorem (2) are satisfied; therefore, according to Theorem (2), we can find
u as a best proximity point of mapping
T, which implies that
but for
then
, from above, we can say in case of self-mapping every Suzuki-type
–
-modified contraction mapping
T has a unique fixed point. □
Theorem 8. Suppose X be a complete b-metric space and is a Suzuki-type α–θ-modified contraction that satisfies all the conditions of Theorem (7). Then, T has a unique fixed point.
Proof. We take
in Theorem (4), as for self-mapping every proximal Suzuki-type
–
-modified contraction becomes Suzuki type
–
-modified contraction, and from (1), for self mappings, every proximal
-admissible mapping becomes
-admissible mapping, all conditions of Theorem (4) are satisfied; therefore, according to Theorem (4), we can find
u a best proximity point of mapping
T, which implies
but if
, then
; therefore, for self-mapping, every Suzuki-type
–
-modified contraction mapping
T has a unique fixed point. □
Definition 16. A mapping is an ordered Suzuki-type ψ-modified contraction, if Definition 17. A mapping is an ordered Suzuki-type θ-modified contraction, iffor all and . Theorem 9. Let is a complete partially ordered b-metric space, consider an increasing continuous mapping be an ordered Suzuki-type ψ-modified contraction with , such that , then T has a unique fixed point.
Proof. Following the same lines of proof of Theorem (5), and taking in account for self-mapping such that , we have , then every ordered Suzuki-type –-modified contraction becomes ordered Suzuki-type -modified contraction and the remaining conditions of Theorem (5) holds. Then, T has a unique fixed point. □
Finally, we have a fixed point theorem for Suzuki-type ordered -modified contraction in complete partial ordered b-metric space:
Theorem 10. Let is a complete partially ordered b-metric space and is Suzuki-type ordered θ-modified contraction satisfying the condition of Theorem (9), then T has a unique fixed point.