1. Introduction
The study of ordinary differential equations and partial differential equations of fractional order has interested several researchers for a long time [
1,
2,
3,
4]. Problems of the stability of these equations have been studied in a very large way. For example, the authors in [
5,
6] studied the finite-time stability, and in [
7,
8,
9,
10], the authors studied the stability in the sense of Ulam–Hyers–Rassias (UHR) and Ulam–Hyers (UH). Additionally, some problems of controllability and optimal control of these equations have been completed by several researchers [
11,
12,
13,
14,
15].
In the literature, several types of fractional derivatives have been introduced by some researchers such as [
16,
17,
18]. These different types of fractional derivatives have greatly contributed to the development and enrichment of many basic sciences such as mathematics, physics, medicine, engineering, stochastics, etc. For example, the authors in [
19] studied a fractional model for COVID-19, in [
20] the authors studied a fractional order eco-epidemiological system with infected prey, and a fractional differential system in hepatitis B has been investigated in [
21].
The existence of a solution and the stability in the sense of Ulam have been studied abundantly by several researchers [
7,
8,
9,
10,
22]. In [
2,
23,
24,
25], and the stability with delay was investigated for different types of fractional derivatives. To the best of our knowledge, the study of stability with time advance for a backward differential equation with time advance via
Caputo fractional derivative has never been investigated. In this paper, we considered a backward differential equation with time advance via
Caputo fractional derivative. In the first time, we proved the existence and uniqueness of solutions by using a fixed point method. Next, we gave two stability results, in the sense of Ulam, for the backward differential equation with time advance. Finally, some numerical experiments have been presented at the end of the paper to illustrate the theoretical results. Then, we can summarize the novelties of this work as follows:
- ⋄
The presentation a new problem defined by a backward differential equation with time advance via Caputo fractional derivative.
- ⋄
The study of the existence and uniqueness of solutions for the backward differential equation with time advance via Caputo fractional derivative by using Banach fixed-point Theorem.
- ⋄
Study of the UHR and UH stabilities for the backward differential equation with time advance via Caputo fractional derivative.
- ⋄
Numerical implementations.
In
Section 2, the main results of the paper are given.
Section 4 is devoted to the numerical implementations and discussion of the numerical experiments.
2. Preliminaries and Definitions
In this paper, we consider following notations:
The space
defined by:
The Banach space of continuous functions defined from into .
The Banach space of continuous functions defined from into , where .
Let
be some positive real numbers such that
and
. We define a metric space
, where the space
and the metric
is given by
where the function
and
are defined by
where
is a non-increasing continuous positive function and
is an increasing continuous function. It is clear that the two functions
and
are non-increasing functions on
.
Definition 1 ([
26]).
Let and be functions such that ζ is increasing and , for all . The Caputo fractional derivative of a function is defined by: Lemma 1. If , then the Caputo fractional derivative of the function is given bywhere and is a functions such that ζ is increasing and , for all . Theorem 1 (Theorem 2.1 in [
9]).
Suppose is a complete metric space and is a contraction (with ). Suppose that , and . So, there exists a unique that satisfies . Moreover, 3. Main Results
Consider the backward differential equation with time advance:
where
is the well-known
Caputo fractional derivative with order
, see [
26]. The variable
is defined by
Let
, for
, then
. Consequently, the initial condition defined by Equation (2) can be rewritten as follows:
where
is a continuous function belonging to the space
. The second member
f in Equation (
1) is a continuous function and is defined by
The correspondent integral equation of (
1) is given by [
26]
Let us now consider the following assumption:
where
is a positive constant.
Definition 2. The problem (1)–(2) is UH stable if there exists a real number such that for every and for each solution of the following inequality:there exists a solution of Equation (1) withsuch that Definition 3. The problem (1)–(2) is UHR stable with respect to , if there exists a real number such that for every and for each solution of the following inequality:there exists a solution of Equation (1) with Let
be the constant defined by
where
is a positive constant such that
.
We present in the following the first main result, Theorem 2, which expresses the UHR stability for the system (
1)–(2).
Theorem 2. Suppose that the assumption holds. If satisfies the inequality:where and γ is a non-increasing continuous positive function, then there exists a unique solution of (1)–(2) withsuch thatwhere the constant is given by the relation (4). Remark 1. Let . Then, the function y is a solution to the inequality (5) if and only if there exists a function and a function : Let
. Now, we define the operator
as follows:
Immediately, we have the following result.
Proposition 1. The operator is contractive.
Proof. Let
. Then, we have
For
, we obtain
where:
For
, there is
such that
Therefore,
Let
. Then,
. Consequently, we obtain
Let
. Then,
. Therefore,
Thus, from relations (
6) and (
7), we deduce that
Therefore, we obtain
Recall that
. Thus, the operator
is contractive. □
We can now establish the proof of Theorem 2.
Proof of Theorem 2. We have
It follows from (
5) that
Therefore,
Using Theorem 2.1 in [
9], there exists a unique solution
of (
1)–(2), with
for all
, such that
Therefore,
□
The second main result of this paper is given by the following Corollary 1, which expresses the UH stability for the system (
1)–(2).
Corollary 1. Suppose that the assumption holds. If satisfies the identitywhere , then there exists a unique solution of (1)–(2) withsuch thatwhere the constant is given by the relation (4). Proof. The proof of Corollary 1 can be deduced from that of Theorem 2, where the considered metric function
, in this case, is defined by
where the positive function
is given by
□
4. Numerical Illustration
In this section, we consider the case when is written in the form .
Consider the following integral equation:
We divide the interval
into
N sub-intervals
, for
, of equal amplitude
h, where
Then, it is clear that
At the grid point
, for
, Equation (
10) takes the form
By integrating the integral in the right side of Equation (
11), we obtain
where the coefficients
are given by
Now, let us consider the following notation:
Assume that there exists a positive integer
such that
. The coefficient
can be rewritten as
Therefore, Equation (
12) can be rewritten as
Example 1. Let , . Consider the system:whose exact solution is . The initial condition and . The source term ϝ is given byThe system (14)–(15) is solved using the scheme (13) by the software Matlab 7.5.0 (R2007b). Figure 1 show the convergence of the numerical solution to the exact solution. Example 2. This example is devoted to the UHR stability.
The data used in this experiment are chosen as follows: Let . In this case, we obtain , where is the Caputo–Hadamard fractional derivative of (see [26]). Consider the Caputo–Hadamard fractional problem:where . Note that the function f satisfies the assumption : Now, let us define the fractional system:where . Since, we havethen, from Remark 1, is a solution to the inequality (5), with and :Therefore, from Theorem 2, we deduce that Equation (16) has a unique solution such thatandwhere the constant is given bySo, we obtainIn Figure 2, we plotted the solution of Equation (16) for and the corresponding initial condition , for . In Figure 3, we plotted the solution of Equation (16) and the solution of the inequality (5), for , with the same initial condition , for . The difference and the curve of the function , for , are plotted in Figure 4. In fact, it is clear that there is consistency between the UHR stability result and the numerical experiment given in Figure 4. Example 3. This example is devoted to the UH stability.
The data used in this experiment are chosen as follows: Let . Consider the system defined by Caputo fractional derivative:where . Note that the function f satisfies the assumption : Now, let us define the fractional system:where . If is a solution to the inequalitythen, from Corollary 1, we deduce that Equation (17) has a unique solution such thatandwhere the constant is given by:So, we obtainIn Figure 5, the solution of Equation (17) for and the corresponding initial condition , for are plotted. In Figure 6, we plotted the solution of Equation (17) and the solution of the inequality (8), for , with the same initial condition , for . The difference and the horizontal line , for , are plotted in Figure 7. Again, it is clear that there is consistency between the UH stability result and the numerical experiment given in Figure 7. 5. Conclusions
In this work, several goals are achieved. We have proved the existence and the uniqueness of solutions for the problem defined by backward differential equations with time advance via Caputo fractional derivative. Moreover, two stability results, in the sense of UHR and UH, have been established. Finally, we presented numerical results to confirm the theoretical results obtained.
In future work, it would be interesting to study the finite-time stability for this type of backward differential equation with time advance with other types of fractional derivatives.
Author Contributions
Conceptualization, L.M.; methodology, A.B.M.; writing—original draft, M.R. All authors have read and agreed to the published version of the manuscript.
Funding
This research is funded by ”Researchers Supporting Project number (RSPD2023R683), King Saud University, Riyadh, Saudi Arabia”.
Data Availability Statement
Not applicable.
Acknowledgments
The authors extend their appreciation to King Saud University in Riyadh, Saudi Arabia for funding this research work through Researchers Supporting Project number (RSPD2023R683).
Conflicts of Interest
The authors declare no conflict of interest.
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