Abstract
This paper investigates the qualitative properties of the solutions for neutral implicit stochastic Hilfer fractional differential equations involving Lévy noise with retarded and advanced arguments. The existence property of the solution of the aforementioned equation is demonstrated by the Mónch condition, and the uniqueness is demonstrated by the remarkable fixed point of Banach. In addition, we examine the Hyers–Ulam stability of the presented mathematical models. To substantiate our theoretical conclusions, a real-world example is included to illustrate their practical application.
MSC:
34K50; 47H10; 34D10
1. Introduction
Fractional calculus [1] is an advanced mathematical discipline that generalizes the well-known notions of classical calculus to encompass non-integer, or fractional, orders. Unlike classical calculus, which deals exclusively with integer-order operations, offers a more flexible and comprehensive framework for the description of a wide range of phenomena. This extension has proven particularly valuable in modeling complex systems that cannot be adequately captured by standard calculus. The versatility of has led to its application across numerous fields of science and engineering [2]. In physics, for instance, it has been employed to describe anomalous diffusion and other non-standard dynamic processes [3]. In biology, has been used to model processes such as population dynamics and the spread of diseases [4]. The field has also found relevance in economics, where it aids in the modeling of financial markets and economic systems [5]. Additionally, has become increasingly important in signal processing, where it provides powerful tools for the analysis and processing of signals with complex, non-linear characteristics [6,7]. The broad applicability of underscores its significance as a versatile and essential tool in both theoretical and applied research.
Stochastic fractional differential equations () are widely used to model systems influenced by random fluctuations [8]. These equations find broad application across various disciplines, such as economics, bioengineering, medicine, and biology. represent a specific category of differential equations that model systems influenced by both stochastic and deterministic elements. Usually, the stochastic part is depicted by a Wiener process ; these are continuous-time stochastic processes characterized by their random and unpredictable fluctuations. Kiyoshi Ito, in the 1940s, was the first to propose the use of to model particle diffusion in a fluid. Since then, these equations have become essential tools in many scientific and engineering fields because they effectively capture the impact of randomness and noise on system dynamics, an important aspect in numerous physical problems.
Fractional differential equations () have garnered significant attention in both natural sciences and engineering due to their capability to model memory effects and hereditary properties in various processes and materials. However, many practical systems are subject to disturbances, leading to deviations from stable behavior. Therefore, it becomes critical to study with impulses. Substantial advancements have been made in understanding the theory of Caputo fractional functional , especially regarding their stability under the Hyers–Ulam () conditions [9,10,11,12]. For instance, in [13], the authors utilized Sadovetsky’s theorem to examine neutral fractional stochastic integral differential equations that incorporate infinite delays. Despite progress, the stability analysis of such systems remains a vital area requiring further exploration [14,15,16,17,18,19,20,21]. Given the relatively limited research available on the analysis of [22,23,24,25,26], there is a pressing need for more studies in this domain.
In [27], Shahid et al. explored the qualitative properties of
where denotes the RL fractional derivative (FD). The functions are appropriately chosen functions. The term , where , represents a Wiener process (often referred to as a stochastic process). Additionally, is defined by for .
We are motivated by [27] and construct a new model for the analysis of neutral implicit stochastic Hilfer involving Lévy noise with retarded and advanced arguments:
where denotes the Hilfer fractional derivative () of order , and type 0 and represent appropriate functions. Additionally, , is a , and is defined as for .
The specific outcomes of this work can be stated as follows.
- This study addresses the qualitative behavior of solutions to neutral implicit stochastic Hilfer fractional differential equations with retarded and advanced arguments influenced by Levy noise, an area with limited existing research.
- The existence and uniqueness of the solutions are established using the Monch condition and Banach’s fixed-point theorem, providing robust theoretical evidence of the model’s solvability.
- This paper examines the Hyers–Ulam stability for the proposed model and includes a real-world example to illustrate the practical application of its theoretical results, contributing to the robustness and applicability of the presented mathematical framework.
2. Supplementary Results
Here, we give some basic results so that the paper is self-contained. Let be the usual complete probability space. The notation denotes a -, a stochastic process established within this probability space. The operator , denoting covariance, is presumed to fulfill the condition of having a finite trace, specifically . We will utilize two separable Hilbert spaces, and . The set of all bounded linear operators from to is represented as .
Let represent a complete orthonormal system in the Hilbert space . This orthonormal set is linked to a sequence (bounded), satisfying the relation for every i. Additionally, there exists a collection of independent that meet specified criteria. The stochastic process can be formulated as follows:
where i ranges from 1 to m.
Subsequently, assume the set of continuous functions
such that
where represents the mathematical expectation. Let denote the abstract phase space. We consider a continuous function that satisfies the condition . The Hilbert space , induced by v, is characterized as follows:
with
Definition 1
([28]). The generalized Hilfer of order and type with a lower limit is denoted as
Definition 2
([29]). Consider a stochastic process defined on a complete probability space . The process is called a Lévy process if the following conditions hold:
- 1.
- ;
- 2.
- The process possesses increments that are independent and identically distributed over time;
- 3.
- is stochastically continuous, meaning that, for every and ,
Lemma 1
([30]). If , (Banach space), is closed, then (a contraction) has an (unique).
Lemma 2
([31]). If , then , where it fulfills the following condition:
where
The Hausdorff measure of non-compactness, represented as , is defined for any bounded , with being a Banach space ().
Lemma 3
([32]). If ℸ and ℶ are bounded subsets in , then we have the following.
- 1.
- Nonsingular: For any and any nonempty subset , we have .
- 2.
- Regular: is precompact ⇔.
- 3.
- Monotonicity: If, for bounded set ℸ and ℶ in , , then .
- 4.
- Union Bound: .
- 5.
- Scaling: For any scalar μ, .
- 6.
- Sum Property: For the sum , it holds that .
- 7.
- Continuity: If is bounded and equicontinuous (Eqis), the function is continuous on .
- 8.
- For each , is a Bochner integrable function such that it maps , and if for almost every for all , then the function is an element of .
- 9.
- If is bounded, then, for any , ∃ such that .
In exploring our primary findings, the aforementioned outcomes can be applied.
Lemma 4
([33]). Let (closed and convex), containing the point 0. If is continuous, then the set is defined such that . This condition satisfies Mnch’s criterion, which implies that is compact. Consequently, this leads to the conclusion that there exists an of within .
Lemma 5
([34]). If and ω represents a standard , then
with
For convenience, Equation (1) can be written as
Lemma 6.
Let and , and assume that is a continuous function. Then, any function that meets the following criteria
possesses the form
3. Existence
Here, we formulate a series of assumptions.
- :
- According to the following criteria, functions as follows.
- (i)
- is the measurable, continuous function .
- (ii)
- , and are constants that exist such that
- (iii)
- ∃ and in such a way that, for bounded sets and in , the following holds:
- (iv)
- Given the continuity of the function , there is a constant such that
- :
- meets the following criteria.
- (i)
- is continuous, and exists in such a way that
- (ii)
- (a constant) exists in such a way that
- (iii)
- ∃ and , and, for (bounded) contained in , the following holds:
- :
- The function adheres to the following.
- (i)
- A constant exists, along with and (integrable), fulfillingwhere satisfies the requirement that .
- (ii)
- ∃ (a constant) and a positive constant in such a way that
- (iii)
- ∃ and , in such a way that, for bounded sets and within , the following holds:
- :
- The function adheres to the following.
- (i)
- is measurable and continuous for almost all
- (ii)
- A constant exists such that the following condition is satisfied:
- (iii)
- ∃ and are known to exist, in such a way that, for any (bounded set),
- (iv)
- Given the continuous nature of the function , there is a constant satisfying
- :
- and
Lemma 7.
Let be a closed convex subset of such that . Consider a continuous mapping that satisfies Mnch’s condition: for any countable set , if , is compact. Under these circumstances, an for 𝘍 must exist within .
Theorem 1.
Let be fulfilled; then, in , (2) has at least one solution.
Proof.
First, we need to express problem (2) as a fixed-point problem and introduce an appropriate operator. Define as an operator that maps to itself, specified by
Let satisfy
For every , we define the function u as
Let us set such that for every , where
Now, let , be such that
Let .
For and , the following holds:
Step 1. We are assured that we can find v that satisfies . Assume, as a contradiction, that no such v exists. Then, for every positive integer v, there is a function such that . However, according to the assumptions, it follows that
Applying the Cauchy–Schwarz inequality along with assumptions to , we obtain the following result.
Therefore, we obtain
With , we have
which implies
This clearly contradicts assumption . Therefore, for a certain value of v, we have .
Step 2. If is a sequence in that converges to z in , then
Consequently,
Step 3. For any with , it follows that
As , the right-hand side of (7) approaches zero, i.e.,
This indicates that ℶ is Eqis.
Step 4. Let , with
Assume that is a countable set and that . Our objective is to demonstrate that . Let be a sequence drawn from . Since is Eqis on , it follows that is also Eqis on .
By utilizing Lemma 1, Lemma 3, and , we can conclude that
Finally, we obtain
where is defined in . Given that both and exhibit equicontinuity on , applying Lemma 3 allows us to conclude that .
Therefore, based on Mónch’s condition, we can conclude that
Since , it follows that . Consequently, is compact. Therefore, ℶ possesses an . □
Theorem 2.
Assume that the conditions are satisfied, along with
Then, ℶ possesses an (unique) in .
Proof.
Define as follows:
Then,
Clearly, . Consequently, ℶ is a contraction and thus has an (unique) over . □
4. Stability
Consider the inequality given by
Definition 3.
The problem (2) is deemed -stable if, for a given and , there exists a function that satisfies (13), where represents the solution to (1). Consequently, will fulfill the following conditions:
Theorem 3.
Assuming that the conditions through are met, the inequality (1) is stable.
Proof.
Assuming that (13) holds, examine the following inequality that incorporates both retarded and advanced arguments:
Let satisfying
Consider the equation
The following expression denotes a fundamental solution for the inequality (14):
Now, consider
where .
Thus, there exists a that satisfies Definition 3. Therefore, we demonstrate that (1) is -stable. □
5. Example
We shall provide an example to substantiate our results.
Example 1.
Examine the subsequent Hilfer neutral
where , , , and . Set the functions as
For any we define
Assume that and . Consequently, are met.
Now,
Since , it follows that (15) has a unique solution.
Additionally,
Thus, (15) is -stable on .
For Equation (15), we conduct a simulation based on the Euler–Maruyama scheme with a step size and the chosen parameters and initial condition. Hence, in Figure 1, we give the simulation trajectory of ζ and x with the same initial condition. Moreover, we can see from Figure 1 that the solution trajectory of Equation (13) (in red) almost coincides with that of Equation (15) (in blue). It follows that the distance between and is less than a constant, which shows that Equation (15) is -stable on according to Definition 3.
Figure 1.
Trajectory simulation of and on the interval .
6. Conclusions
In this work, we explored the existence and uniqueness of neutral s using theorems and basic notions of stochastic analysis. Additionally, we established stability under specific assumptions and conditions. Ulam’s stability is a significant concept, as it provides a bound between approximate and exact solutions, making our findings potentially valuable in the context of approximation theory for s. Finally, we presented a relevant example to illustrate our main findings. Looking ahead, we plan to investigate the exact controllability of s under impulsive conditions, with a particular focus on the impact of noise and memory effects.
Author Contributions
Conceptualization, H.K., A.Z., M.R. and I.-L.P.; Formal analysis, H.K., A.Z., M.R. and I.-L.P.; Funding acquisition, M.R.; Investigation, A.Z.; Supervision, A.Z.; Writing—original draft, H.K.; Writing—review & editing, M.R. and I.-L.P. All authors have read and agreed to the published version of the manuscript.
Funding
This research is funded by Researchers Supporting Project Number RSPD2024R683, King Saud University, Riyadh, Saudi Arabia.
Data Availability Statement
No new data were created or analyzed in this study.
Acknowledgments
The authors extend their appreciation to King Saud University in Riyadh, Saudi Arabia.
Conflicts of Interest
The authors declare no conflict of interest.
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