On a new variant of F-contractive mappings with application to fractional differential equations
On a new variant of F-contractive mappings with application to fractional differential equations
Nonlinear Analysis: Modelling and Control, vol. 27, núm. 5, pp. 964-979, 2022
Vilniaus Universitetas

Recepción: 29 Enero 2022
Revisado: 12 Mayo 2022
Publicación: 30 Junio 2022
Abstract: The present article intends to prove the existence of best proximity points (pairs) using the notion of measure of noncompactness. We introduce generalized classes of cyclic (noncyclic) F-contractive operators, and then derive best proximity point (pair) results in Banach (strictly convex Banach) spaces. This work includes some of the recent results as corollaries. We apply these conclusions to prove the existence of optimum solutions for a system of Hilfer fractional differential equations.
Keywords: best proximity point, measure of noncompactness, -contractive operator, fractional differential equation.
1 Introduction and preliminaries
1.1 Measure of noncompactness
We start with listing of some notations and preliminaries that we shall need to express our results. Throughout the paper, we denote
the set of real numbers,
the set of natural numbers,
and
. Let
be a real Banach space with zero element
. By
we denote the closed ball centered at
with radius
. The symbol
stands for the ball
. If
is a nonempty subset of
, then
and
denote the closure and closed convex hull of
, respectively, and diam
as diameter of the set
. Moreover, let us denote by
the family of all nonempty and bounded subsets of
and by
its subfamily consisting of all relatively compact sets. We also denote
as a family of all nonempty, bounded, closed and convex subsets of
.
We now recall the concept of measure of noncompactness.
Definition 1. (See [5].) A mapping
is said to be a measure of noncompactness (
for brief) in
if it satisfies the following conditions:
The family
is nonempty, and
;
Monotonicity:
;
Invariance under closure: 
Invariance under passage to the convex hull: 
Convexity:
for 
, where 
Cantor’s intersection property: If
is a sequence of nonempty, closed sets in
such that
and
, then the set
is nonempty and compact.
The family
defined in axiom (i) is called the kernel of the
.
One of the properties of the
is
. Indeed, from the inequality
for
we infer that
.
The well-known measure of noncompactness is due to Kuratowski [15], which is the map
given as

In 1930, Schauder [20] generalized Brouwer’s fixed point theorem to Banach spaces as follows.
Theorem 1. Let
be a unbounded subset of a Banach space
. Then every compact, continuous map
has at least one fixed point.
We recall that the mapping
is said to be a compact operator if
is continuous and maps bounded sets into relatively compact sets, where
and
are normed linear spaces, and
is a subset of
.
In 1955, Darbo [8] used the notion of measure of noncompactness to establish an extension of Schauder’s fixed point problem as below.
Theorem 2. Let
be a subset of a Banach space
, and let
be a continuous and
-set contraction operator, that is, there exists a constant
with

for any
, where
is an
on
. Then
has a fixed point.
The following well-known theorem was proved in 1967 by Sadovskii [19], it is a generalization of Darbo’s fixed point theorem.
Theorem 3. Let
be a subset of a Banach space
, and let
be a continuous and
-condensing operator, that is,

for any
, where
is an
on
. Then
has a fixed point.
1.2 Best proximity theory
It is well understood that a mapping
on a nonempty subset
of
possesses a fixed point if
is nonempty. If
is fixed point free, then in this case, we intend to find the element
in
so that
and
have smallest distance. In this case, the point
is a best approximant for
. The credit of pioneering best approximation theory goes to Ky Fan (1969) (refer [6] and references therein for more details of best approximation theory). But the problem arises when
is mapped into another subset
of
by
. In this case the problem is to find a point, which estimates the distance between these two sets
and
. Such points are known as best proximity points.
Let us take two nonempty subsets
and
of
. It is to be assume that a pair
satisfies a property if
and
individually satisfy that property. For example, we say a pair
is compact if and only
if
and are compact. For the pair
, we will define

It is worth noticing that the pair
may be empty, but in particular, if
is a nonempty, convex and weakly compact pair in
, then
is also nonempty, convex and weakly compact. If
and
, then the pair
is called proximinal.
A mapping
is called cyclicif
and
, and if
and
, then
is noncyclic.
is called relatively nonexpansive if it satisfies
whenever
and
. In special case, if
, then
is called nonexpansive self-mapping. We consider a best proximity point for a cyclic mapping
, which is defined as a point
satisfying

In case of a noncyclic mapping
, we consider existence of a pair
for which
and
. Such pairs are called best proximity
Eldred et al. in [9] coined the idea of cyclic (noncyclic) relatively nonexpansive mappings and obtained best proximity point (pair) results. In doing so, they have used the concept, which is called as proximal normal structure (in short, PNS). In 2017, Gabeleh [11] proved that every convex and compact (nonempty) pair in a Banach space has PNS by using a concept of proximal diametral sequences. Considering this fact, Gabeleh obtains following result. Recall that the compactness of
means that
is compact.
Theorem 4. (See [12].) Let
be a Banach space, and let
. Assume that
is a relatively nonexpansive cyclic mapping, then
has a best proximity point, provided
is compact and
.
Before stating the result for noncyclic mappings, let us recall a mathematical concept of strict convexity of Banach spaces. A Banach space
is strictly convex if for
and
,

holds. The
space
and Hilbert spaces are examples of strictly convex Banach spaces.
Theorem 5. (See [12].) Let
be a strictly convex Banach space, and let 
. Assume that
is a relatively nonexpansive noncyclic mapping. If
is compact and
, then
has a best proximity pair
Recently, several works appeared (see [12–14, 16, 18, 21]) in which best proximity point (pair) results are obtained using measure of noncompactness.
1.3Concepts from fractional calculus
We present some concepts and outcomes from fractional calculus, which will be used in application part of this article. Let
. Let
denotes the space of all continuous functions on
. We denote by
, the spaces of Lebesgue-integrable functions on
. See [10] for more details on fractional calculus.
The left-sided Riemann–Liouville fractional integrals and derivatives are defined as follows.
Definition 2. Let
. The integral

is called left-sided Riemann–Liouville fractional integral of order
of the function
.
Definition 3. The left-sided Riemann–Liouville fractional derivative of order
of
is defined as the following expression:

provided the right-hand side exists.
We have following results for above power functions.
Lemma 1. For
, we have

Lemma 2. For
and
, we have

Definition 4. (See [10].) The left-sided Hilfer fractional derivative operator of order
and type
is defined by

Remark 1. The Hilfer derivative is considered as an interpolator between the Riemann– Liouville and Caputo derivative since

The differential equations with fractional derivatives gain a lot of importance in recent years. For proving existence of solutions for such equations, the fixed point theory and the concept of measure of noncompactness is of immense importance. For more applications of fixed point theorems and
, we refer the readers to following works [1–3, 22] and references therein.
In this article, we first present the results proving existence of best proximity points (pairs) for some new variants of
-contractive mappings. These conclusions extend some of recent results in the literature. As an application, we prove existence of optimum solutions for the differential equations of arbitrary fractional order involving the left-sided Hilfer fractional differential operator.
2 Main results
We start with defining the following notion introduced in [17, 24].
Definition 5. Let
be a family of all functions
such that:
(F1)
is strictly increasing;
(F2) for each sequences
.
Moreover,
denotes the set of all mappings
such that

We refer the interested readers to the chapter [23] for review of class of
-contractive conditions. The authors give fixed point existence result established by using such contraction condition together with measure of noncompactness. Moreover, the applicability of these results in the theory of functional equations is discussed.
We define a new notion of cyclic (noncyclic) contractive operator using these two classes of functions. Throughout this section,
is an
on
, and 
.
Definition 6. An operator
is said to be cyclic (noncyclic)
contractive if there exist
and a lower semi-continuous function
:
such that
implies

for every proximinal and
invariant pair
with dist
.
If
, then the operator
is called a cyclic (noncyclic)
-contractive operator. We now state the first main existence result.
Theorem 6.Let
be a Banach space, and let
be a relatively non- expansive cyclic
contractive operator. If
, then
has a best proximity
Proof. Note that
is proximinal. Also if
, there exists an element
such that
. Since
is relatively nonexpansive,

which gives
, that is,
. Similarl,
, and so
is cyclic on
.
We start with assumption
and
and define a sequence pair
as
and
for all
. We claim that

We have
. Therefore,
. Continuing this pattern, we get
by using induction. Similarly, we can see that
for all
. Thus
for all
. Hence, we get a decreasing sequence
of nonempty, closed and convex pairs in
. Moreover,
and 
. Therefore for all
, the pair
is
-invariant. By a similar manner we can see that
is also
-invariant for all
.
Besides, if
is such that
, then 
and

Next, we show that the pair
is proximinal using mathematical induction. Obviously, for
, the pair
is proximinal. Suppose that
is proximinal. We show that
is also proximinal. Let
be an arbitrary member in 
. Then it is represented as
with
and
. Due toproximinality of the pair
, there exists
for
such that
. Take
. Then
and

This means that the pair
is proximinal, and induction does the rest to prove that
is proximinal for all
.
It is worth noticing that if
for some
, then the relatively nonexpansive mapping
is compact, and the result follows from Theorem 4.
So we assume
for all
. Since
, there exists
and
such that
for every
. As
is
contractive operator, we have

For all
, we deduce that

that is,

Therefore,
as
, and by (F2) we must have

That is,
. Now, let
Using property (vii) of Definition 1, the pair
is nonempty, convex, compact and
-invariant with dist
. Therefore,
admits a best proximity point in
, and this completes the proof.
If we put
in Theorem 6, then we have following result for
contractive mapping.
Corollary 1. Let
be a Banach space, and let
be a relatively nonexpansive cyclic
contractive operator. If
, then has a best proximity point.
Corollary 2. Let
be a Banach space, and let
be a relatively non-expansive cyclic operator, which satisfies

If
, then
has a best proximity point.
Proof. If we set
and
, then the proof follows from Theorem 6.
It is noteworthy here that if we consider
in above corollary, then we get a particular case of Darbo-type best proximity point theorem.
The second existence result is for relatively nonexpansive noncyclic
contractive operator.
Theorem 7. Let
be a strictly convex Banach space, and let
be a relatively nonexpansive noncyclic
contractive operator. If
is nonempty, then
has a best proximity pair.
Proof. Let
be such that
. Since
is relatively nonexpansive noncyclic mapping,

which gives
, that is,
. Similarly,
and so
is noncyclic on
.
Let us define a pair
as
and 
with
and
. We have that 
. Therefore,
. Thus 
. Continuing this pattern, we get
by using induction. Similarly, we can see that
for all
. Hence we get a decreasing sequence
of nonempty, closed and convex pairs in
. Also, 
. and
Therefore, for all
, the pair
is
-invariant. From the proof of Theorem 6 we have
is a proximinal pair such that
for all
.
Following the proof of Theorem 6, if
for some
, then the relatively nonexpansive mapping
is compact, and the result follows from Theorem 5.
So we assume that
for all
. In view of the fact that
, there exist
and
such that
for every
. Since
is
contractive operator,

Thus, for all
, we obtain

that is,

This implies that
as
, and by (F2) we have

Thereby,
. Now, let
Using property (vii) of Definition 1, the pair
is nonempty, convex, compact and
-invariant with dist
Therefore,
has a best proximity pair.
If we set
in Theorem 7, then we have the following result for
contractive mapping.
Corollary 3. Let
be a strictly convex Banach space, and let
be a relatively nonexpansive noncyclic
contractive operator. If
is nonempty, then
has a best proximity pair.
Corollary 4. Let
be a strictly convex Banach space, and let
be a relatively nonexpansive noncyclic operator, which satisfies

If
, then
has a best proximity pair.
Proof. If we set
and
, then the proof follows from Theorem 7.
It is noteworthy here that if we consider
in above corollary, then we get a particular case of Darbo-type best proximity pair theorem.
3 Application
In this section, we establish the existence of an optimal solution of the following problem involving systems of Hilfer fractional differential equations with initial conditions.
Let
and
be positive real numbers,
, and let
be a Banach space.
Let
and
be closed balls in
, where
.
We consider the following system of Hilfer fractional differential equation of arbitrary order with initial conditions:
(1)
(2)where
is the left-sided Hilfer fractional differential operator,
; the state
takes the values from Banach space
and
are given mappings satisfying some assumptions. The following result establishes the equivalence of (1) with the integral equation.
Lemma 3. (See [10].) The initial value problem (1) is equivalent to the following integral equation:

Let
and let
be a Banach space of continuous mappings
from into
endowed with supremum norm. Let

So
is a nonempty, bounded, closed and convex pair in
. Now, for every
and
, we have
. Therefore dist
, which ensures that
is nonempty. Now, let us define the operator
as follows:
(3)
Lemma 4. The operator
defined by (3)is cyclic if
and
are bounded and continuous such that
.
Proof. Let
and set
. We have

Applying
on both sides and applying Lemma 1, we get


Here
by Lemma 2. Therefore
, which means
. Similarly, one can show that
. Thus
is cyclic operator.
We say that
is an optimal solution for system (1) and (2), provided that
, that is,
is a best proximity point of the operator
defined in (3).
Assumptions. We consider the following hypotheses to prove the existence of optimal solutions to the differential equations.
(A1) Let
be any
. For any bounded pair
, there exist
, a nondecreasing function
and
such that
,
implies

And

The following result is the mean-value theorem for fractional differential, which we have rewritten according to our notations.
Theorem 8. (See [7].) Let
and
be given as above. Let
be integrable on
, and let
and
be the infimum and supremum of
, respectively, on
. Then there exists a point
in
such that

Then we give the following result.
Theorem 9. Under notations defined above, the hypotheses of Lemma 4 and assumptions (A1) and (A2), the system of Hilfer fractional differential equation (1)-(2)has an optimal solution.
Proof. It is clear that system (1)–(2) has an optimal solution if the operator
defined in (3) has a best proximity point.
From Lemma 4,
is a cyclic operator. It follows trivially that
is a bounded subset of
. We prove that
is also an equicontinuous subset of
. For
with
and
, we observe that


As
, right-hand side tends to
. Thus
as
. Thus
is equicontinuous. With the similar argument, we can prove that
is bounded and equicontinuous subset of
. Thus the application of Arzela–Ascoli theorem concludes that
is relatively compact.
Next, we show that
is relatively nonexpansive. For any
, we have

and thereby,
. Therefore
is relatively nonexpansive.
At last, let
be nonempty, closed, convex and proximinal pair, bn which is
-invariant and such that dist
. By using a generalized version of Arzela–Ascoli theorem(see Ambrosetti [4]) and assumption (A1) we get

So, in view of Theorem 8, it follows that


Therefore, we conclude that
satisfies all the hypotheses of Theorem 6, and so the operator
has a best proximity point
, which is an optimal solution for system (1) and (2).
Acknowledgments
The authors would like to thank the reviewers for their valuable comments and suggestions.
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