Fractional differential equations (FDEs) are important due to their applications in engineering, economics, control theory, materials sciences, physics, chemistry, and biology (see [
1] and the references therein). Scientists have applied various mathematical approaches through diverse research-oriented aspects of fractional differential systems. For instance, existence, stability, and control theory for fractional differential equations were studied [
2,
3]. For the first time, Alsina and Ger [
4] studied the Hyers–Ulam stability for differential equations. Recently, mathematicians have paid more attention to the study of stability for a wide range of differential systems [
5,
6,
7].
In this paper, we begin by considering the following fractional differential equation
where
is a
-Hilfer fractional derivative of order
and type
, and
is a
-Riemann–Liouville fractional integral of order
(
) with respect to the mapping
. Furthermore,
and
are given mappings, and
is a closed linear operator. In the following, we show the existence of solutions to Equation (
1) based on the Krasnoselskii FPT and Arzela–Ascoli theorem. Using Kummer’s control function, we introduce a new concept of stability and further deduce that the solution of Equation (
1) is stable in Kummer’s sense.
1. Preliminaries
In this section, we recall some fundamental definitions of the
-Riemann–Liouville fractional integral,
-Hilfer fractional derivative, and Kummer’s functions. For details, please see [
1,
8] and the references therein.
Let
be a finite and closed interval with
and
be the space of continuous functions
equipped with the following norm
Furthermore, the weighted space
is defined as
with norm
where
is an arbitrary function, and
.
Definition 1. Let , be a finite or infinite interval of the line , Γ be the gamma function, and . Additionally, let be a positive function defined on so that on and is a continuous function on . The left- and right-sided fractional integrals of a function ϱ with respect to the function ϕ on are defined byandrespectively. The fractional integrals with the above definition have a semi-group property given by
Additionally, for
, we have [
9]:
(i) if , then , and
(ii) if , then .
Definition 2. Let , be a finite or infinite interval of the line , for all , and , . The left-sided Riemann–Liouville derivative of a function ϱ with respect to ϕ of order ς correspondent to the Riemann–Liouville is defined by Definition 3. Let with , ( ) and be two mappings such that for all . The left- and right-sided ϕ-Hilfer fractional derivatives of the arbitrary function ϱ of order ς and type are defined byandrespectively. Theorem 1. If , , , and , thenAdditionally, we haveand The solution of a hypergeometric differential equation is called a confluent hypergeometric function [
10]. There exist different standard forms of confluent hypergeometric functions, such as Kummer’s functions, Tricomi’s functions, Whittaker’s functions, and Coulomb’s wave functions. In this paper, we apply the following Kummer (confluent hypergeometric) function to study our stability:
which is the solution of the differential equation
where
and
. Kummer’s function was introduced by Kummer in 1837. The series (
2) is also known as the confluent hyper-geometric function of the first kind, and is convergent for any
. In this article, we apply it on the real line
as our control function. Clearly, for
, we have
Letting
, we consider the following inequality for
where
is the Kummer’s function (see [
10]), to define a new stability concept called Kummer’s stability.
Definition 4. For a positive constant , for all , and every solution to inequality (3), if we can find a solution to Equation (1), with the following property:then we say that Equation (1) has Kummer’s stability with respect to . Our approach is motivated by the fact that inversion of a perturbed differential operator may result from the sum of a compact operator and a contraction mapping (see [
11,
12,
13] and the references therein). We begin by stating the following Krasnoselskii FPT, which has many applications in studying the existence of solutions to differential equations:
Theorem 2. (Krasnoselskii FPT) Let X be a Banach space and be a closed, convex, and non-empty set. Additionally, let be mappings so that:
whenever ,
The operator is continuous and compact, and
Mapping is a contraction.
Then, there exists a so that .
In addition, we mention an alternative FPT presented by Diaz and Margolis in 1967, and it plays a crucial role in proving our stability result [
14].
Theorem 3. Consider the generalized complete metric space and let Θ be a self-map operator which is a strictly contraction mapping with the Lipschitz constant . Then, we have two options: (i) either for every , ; or (ii) if there exists so that the operator Θ satisfies for some , then the sequence tends to a unique fixed point of Θ in the set . Furthermore, for all : Now, we are ready to prove that Equation (
1) is equivalent to an integral equation. Then, by the above theorem, we infer that a fixed point exists for the integral equation, so Equation (
1) has at least one solution.
Proposition 1. Assume that and are real-valued continuous mappings, and is a closed operator, then the following integral equation is equivalent to Equation (1):where and we obtain from for and in (1). Proof. Using the properties of the
-Hilfer fractional derivative outlined in the preliminaries, we have
where
. So, by the above equality, we have
Now, applying
to both sides of the above equation and using Theorem 1, we obtain
and
Conversely, assuming that
satisfies Equation (
4), we claim that the fractional differential Equation (
1) holds. We apply
to the Equation (
4) and imply by Theorem 1 that
From
, we obtain
This completes the proof. □
Remark 1. Let satisfy inequality (3). Then the following integral inequality holds 2. Existence Result
In this section, we study Equation (
1) under the following hypotheses:
Hypothesis 1 (H1). . Moreover, there exists such thatwhere , and . Hypothesis 2 (H2). There exists such that for all and .
Hypothesis 3 (H3). The operator A is bounded and .
Hypothesis 4 (H4). The function is uniformly continuous for all .
Lemma 1. Let the operator given asand assume that the hypotheses – are satisfied. Then, the operator maps the closed ball into itself, ifwhere . Proof. Clearly, we need to prove that if
then
. For all
, we have
where
B is the beta function. From the formula
we have
Applying H3 and condition (
5), we have
This completes the proof. □
The following theorem shows the existence of solutions to the fractional differential Equation (
1) using Krasnoselskii’s FPT listed above.
Theorem 4. Assume that hypotheses – are satisfied. Then, Equation (1) has a solution. Proof. Define
as
where
and
From Proposition 1, solving Equation (
1) is equivalent to finding a fixed point for the operator
defined on the space
.
Suppose that
satisfies condition (
5) and
. Due to Lemma 1, the operator
maps
into itself. Now, we use Krasnoselskii FPT to show that
has a fixed point.
Claim 1. The operator is continuous on .
Let be a sequence in that converges to w. We need to prove that . For each , we have Since and are continuous, and as in , we can conclude that as by Lebesgue dominated convergence theorem.
Claim 2. is an equicontinuous operator.
To prove our second claim, we let with and , Hence, we haveregarding Hypothesis 4, the right-hand side of the above inequality tends to zero whenever , so it clearly claims that is equicontinuous. Furthermore, using the previous lemma, it is uniformly bounded. Therefore, by Arzela–Ascoli Theorem, is compact on . Claim 3. The operator is a contraction.
Let ; then, we have By Hypothesis 3 (H3), we infer that . Thus, is a contraction mapping. By Theorem 2, the mapping has at least a fixed point, which directly implies that Equation (1) has a solution. This completes the proof. □ 3. Stability Analysis
In this section, we present the Kummer stability with respect to
for Equation (
1) based on Theorem 3. We begin by assuming the following hypotheses:
- (K1)
. Moreover, there exists
such that
for all
.
- (K2)
is a continuous function which satisfies a Lipschitz condition in the third argument, i.e., there exists
such that
for all
and
.
Theorem 5. Suppose that and satisfy K1 and K2. Additionally, let If a continuously differentiable function for satisfies for all , then there exists a unique continuous function that satisfies Equation (1) and for all .
Proof. Let
be endowed with the following generalized metric, defined by
for all
. It is not difficult to see that
is a complete generalized metric space [
5]. Define the operator
by
for all
and
. For any
, choose a constant
so that
, i.e,
for all
. So, using Remark 1, we have
which indicates that
for all
. From (
8), we have
. Hence, the operator
is a strict contraction. Moreover, for element
, we have
for all
. In summary,
and
for all
. According to Theorem 3, there exists a unique continuous function
such that
,
satisfies Equation (
1) for all
and
for every
. In addition, it follows from the above calculations that
which justifies inequality (
9). □
3.1. The System of FDEs with Initial Conditions
Based on the results obtained in the previous section, we consider the following system of FDEs with initial conditions:
where
,
is a
-Hilfer fractional derivative of order
and type
, and
is
-Riemann-Liouville fractional integral of order
(
) with respect to the mapping
. Furthermore,
and
are given mappings.
We can rewrite the above equation as follows
where
and
From Theorem 1, we obtain the equivalent matrix equation
Changing Equation (
13) as
A continuous function
w is said to be a solution of Equation (
15) if it satisfies
Using Theorem 5, under conditions
and (
8), Equation (
15) has a unique solution.
4. Application of -Hilfer Fractional Derivative
In this section, we propose the proof of the existence of the solution of the Lotka–Volterra model by considering it being ruled by a -Hilfer fractional derivative of the model, as an application.
First, we state the Lotka–Volterra model, which was introduced by Lotka and Volterra [
15] independently. This model is known as the predator–prey equations or the Lotka–Volterra equations, and it is given by
where
X and
Y are population size or the population density of different species;
are the initial conditions;
, and
represent different growth or decay rates; and
are the carrying capacities. The above system shows an interaction between the logistic growth and decay of two different species.
Based on the definitions in the previous sections, we can restate the model (
17) in the sense of the
-Hilfer fractional derivative. Taking
and
, where
, we will apply the model
where
to analyze the existence, uniqueness, and stability of solutions.
Proposition 2. Equation (18) has a unique solution on the ball with radius r, andwhere for some . The solutions are of the following form:andwhere and we obtain from for and in (1). Proof. Assume that
is a continuous function on close set
, where
and
. Let
and
, then
but we have
and
Now, assume that
, so for some
, we have
where
, and using the discussion in
Section 3.1 and Theorem 5, our proof is complete. □
Example 1. Let be a continuous function and be a continuous function on so that . Consider the following fractional system For all and continuous real-valued functions w on , we have . Moreover, for all . Furthermore, by assumption, the operator is bounded and we have , for all and continuous functions w. So H1–H3 are satisfied for and . Therefore, Theorem 4 proved that Equation (20) has at least one solution. 5. Conclusions
In this paper, we considered a class of fractional differential equations including a closed linear operator. Next, we used the Krasnoselskii fixed-point theorem to investigate the existing result under some mild conditions. Moreover, we introduced and then proved the Kummer stability of -Hilfer fractional differential equations on the compact domains.
Author Contributions
Formal analysis, C.L., R.S. and M.B.G.; Funding acquisition, T.A.; Methodology, F.M., C.L., T.A. and M.B.G.; Project administration, T.A.; Resources, F.M.; Supervision, R.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
We are thankful to the editor and referees for providing valuable comments. C.L. was supported by NSERC Discovery Grant number 2019-03907. The author T. Abdeljawad would like to thank Prince Sultan University for the moral support through the TAS research lab.
Conflicts of Interest
The authors declare that they have no known competing financial interest or personal relationships that could have appeared to influence the work reported in this paper.
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