Abstract
In this paper, we focus on the existence of Hilfer fractional stochastic differential systems via almost sectorial operators. The main results are obtained by using the concepts and ideas from fractional calculus, multivalued maps, semigroup theory, sectorial operators, and the fixed-point technique. We start by confirming the existence of the mild solution by using Dhage’s fixed-point theorem. Finally, an example is provided to demonstrate the considered Hilferr fractional stochastic differential systems theory.
Keywords:
existence; mild solution; Hilfer fractional (HF) system; stochastic differential system; almost sectorial operators; fixed-point technique MSC:
26A33; 34A08; 34K30; 47D09
1. Introduction
Fractional calculus, which is a logical extension of conventional calculus, allows for the definition of integrals and derivatives for any real order. Since the invention of fractional calculus in the 17th century, a number of novel derivatives have been developed, including R-L, Hadamard, Grunwald–Lenikov, and Caputo, to name just a few [1,2,3,4]. Many authors described the fractional order models with the most common definitions of fractional derivatives defined by Caputo and Riemann–Liouville sense. The Caputo derivative is of use to modeling phenomena which takes account of interactions within the past and also problems with nonlocal properties. As extensions of the classical integer order partial differential equations [5], fractional order partial differential equations are increasingly employed to describe issues in finance, fluid flow, and other areas of application. In a diffusion or dispersion model, increased diffusion results when a fractional derivative takes the place of the second derivative (also called super-diffusion). Laplace–Fourier transform techniques can be used to acquire analytical solutions for fractional partial differential equations with constant coefficients. However, a model with variable coefficients is necessary for many real-world issues [6]. Meerschaert and Tadjeran [7] used the finite difference method to solve two-point boundary differential equations with fractional order derivatives. The numerical solution for the initial boundary value time fractional partial differential equations was provided by Podlubny [8]. Langlands and Henry [9] covered the numerical approaches for the time-fractional diffusion equations . The suitable fractional derivative depends on the system under consideration, which is why there are so many publications denoting different fractional operators. Scientific models address a wide range of real-world behaviours, such as anomalous diffusion, ecological impacts, blood circulation issues, disease propagation, control mechanisms, etc., by using fractional order differential and integral operators, which are nonlocal in nature. Fractional calculus offers a wide range of applications, which has prompted numerous scholars to work on the theoretical elements of this branch of modern analysis. In fractional calculus, there has been a great deal of progress [1,2,3,4,8,10,11,12]. In particular, the articles “Design, Analysis and Comparison of a Nonstandard Computational Method for the Solution of a General Stochastic Fractional Epidemic Model” [13], “Structure Preserving Algorithm for Fractional Order Mathematical Model of COVID-19,” and “Analysis of the fractional diarrhea model with Mittag–Leffler kernel” [14,15], and “A Fractal Fractional Model for Cervical Cancer due to Human Papillomavirus Infection,” and “Optimal existence of fractional order computer virus epidemic model and numerical simulations” [16,17] are important.
Over the past ten years, fractional calculus has emerged as one of the most helpful methods for comprehending lengthy operations. These models appeal to pure mathematicians, scientists, and designers alike. The most effective fractional equations in these models are those with fractional order derivatives. Academics are also concentrating on the qualitative characteristics of fractional dynamical systems, such as their stability, existence, and controllability. Recently, stochastic partial differential equations have attracted a great deal of attention because they arise naturally in mathematical modeling of various phenomena in the social and natural sciences [18]. Numerous writers [19,20] have looked at the qualitative characteristics of stochastic partial differential equations in infinite dimensional spaces, including existence, stability, controllability, and invariant measures, among others. Because stochastic fluctuation cannot be avoided in real-world applications, computational issues for stochastic differential equations must be researched [21]. The applicability of stochastic differential equations in several scientific and engineering fields has attracted attention. It should be remembered that noise or stochastic discomfort cannot be avoided in nature and not even in artificial systems. Due to its widespread application in the modeling of a variety of complex dynamical systems in the biological, physical, and medical areas, stochastic differential systems have attracted attention; one can see [22,23,24,25] for examples. Differential inclusions tools make it easier to investigate dynamical systems with velocities that are not only governed by the system’s state.
In order to examine the almost sectorial operators, the authors in [26] created new spaces and developed a functional calculus concept. As ℘ approached zero, they explored the properties of both the mild and classic semigroups, as well as possible explanations for their existence. In [27], the functional calculus was used to construct two sets of operators, and the Caputo derivative was used to solve various fractional Cauchy problems. The existence of mild solutions for fractional differential evolution systems with impulse employing sectorial operators was investigated by the authors of [28,29]. In [21,23], the existence of almost periodic fractional differential equation solutions was investigated. In the context of finite dimensional Banach spaces, the authors of [30] are concerned with a novel generic class of nonlocal fractional differential systems with impulse via the Lipschitz multivalued function and a linear sectorial operator. Researchers have made significant progress in the field of sectorial operators in [26,31,32,33,34].
Hilfer introduced additional fractional order derivatives, including the R-L and Caputo fractional derivatives [35,36,37,38]. Furthermore, the importance and applicability of the derivative have been discovered in conceptual simulations of dielectric relaxation in crystal materials, polymer science, rheological constitutive modeling, engineering, and other fields. Gu and Trujillo [39] in particular used a method and a fixed-point approach to justify the existence of an integral solution to the evolution problem with the derivative. He created the recent parameter and a fractional parameter , in which generates the R-L derivative and generates the Caputo derivative, to define the order of the derivative. Numerous publications have been written about calculus [23,39,40,41,42]. In [43,44,45], investigators demonstrate the existence of the mild solution for Hilfer fractional differential systems via almost sectorial operators by using the fixed-point method. By using a fixed point method, refs. [46,47,48] investigated the solvability and controllability of differential systems.
The existence of stochastic differential systems with almost sectorial operators is discussed in this article, which is prompted by the theory presented in the preceding publications. In this manuscript, we will focus on the following subject: Hilfer fractional stochastic differential inclusions contain almost sectorial operators:
In the above, accepts the value in a Hilbert space with and ; represents the derivative of sequence and type . An almost sectorial operator A is of the analytic semigroup on . Assume that U is a separable Hilbert space with and . For a U-valued Wiener process with a finite trace nuclear covariance operator , we have . The function is a nonempty, bounded, closed, and convex multivalued map with .
Our article is organised as follows: Section 2 covers fractional calculus, multivalued maps, semigroup theory, and sectorial operators, which includes several important concepts and well-known results. We present the existence of the mild solution in Section 3 and give an example in Section 4 to explain our primary claims. In the end, some conclusions are provided.
2. Preliminaries
We provide the required theorems and results in this section, which will be used throughout the essay to get the new results.
The symbols and signify two real Hilbert spaces. Consider that is a complete probability space associated to the whole family of right continuous increasing sub -algebras fulfilling . Let be a Q-Wiener process with the covariance operator Q such that defined on . We assume that U contains an orthonormal system , a bounded sequence of nonnegative real numbers such that and of independent Brownian motions such that
Assume that denotes for the space of all Q–Hilbert–Schmidt operators with the inner product is a Hilbert space. Assume , is the resolvent set of A, and is uniformly bounded, i.e., , and . For , the fractional power operator on its domain can thus be determined. Furthermore, is dense in .
The essential characteristics of are as follows.
Theorem 1.
- Suppose , accompanying is a Banach space with .
- Suppose , corresponding and the implementation are compact whenever A is compact.
- For all , there exists such that
The collection of all strongly measurable, square-integrable, -valued random variables, denoted by , is a Hilbert space associated with , where E is defined as . An important subspace of is given by
For , let and . Denote as the Banach space of all continuous functions from to that satisfy the condition . Consider, is a Hilbert space with and .
We write
- For , and .
- For , .
- Let , then and .
Fix such that and such that .
Definition 1.
(See [4]). Thefractional integral of order ν for a function is given by
The gamma function is represented by the aforementioned formula, , and right side is defined point-wise on .
Definition 2.
(See [4]). The R-L fractional derivative of a function with order ν may be expressed as
Definition 3.
(See [4]). For , the Caputo fractional derivative of order ν for a function is denoted by
Definition 4.
(See [39]). Let and . The derivative of order ν and type ρ is denoted as
Definition 5.
(See [26,49]). Let and . We define such that and its closure by ,
Consider , we determine is the set of all closed and linear operators that fulfills
- (a)
- ;
- (b)
- , given by for all ϖ < δ < π and ∃ Mδ be a constant,
then is identified as almost sectorial operator on .
Proposition 1.
(See [49]). Let be the compact semigroup defined in [26] and for and . Then the proceeding outcomes are fulfilled:
- is analytic and
- for all
- , where be the constant;
- If . Then
- , and .
Definition 6.
(See [50]). The Wright function is defined by
with the following property
Theorem 2.
(See [4]). In the uniform operator topology, and are continuous for , for all , and the continuity is uniform on .
Definition 7.
An -adapted stochastic process is called a mild solution of the Cauchy problem (1) and (), given and there exists such that on and that satisfied
where
Lemma 1.
(See [44]).
- are strongly continuous, for .
- The bounded linear operators on are , for all fixed , and we havewhere
Lemma 2.
(See [51]). Let be a compact real interval, and is the family of all bounded, closed, convex, and nonempty subset of . Let be the -Caratheodory multivalued map that fulfills
which is nonempty. Let be the linear continuous function, then
is closed graph operator in .
Lemma 3.
(Dhage fixed-point theorem) (See [52,53]). Let be a Hilbert space, and and are any two multivalued operators that satisfy:
- is contraction and
- is completely continuous. Then either
- (a)
- the operator inclusions has a solution for , or
- (b)
- the set is unbounded.
3. Existence of Mild Solution
We are mostly interested in the existence of (1) and (2). Before we begin looking at the key outcomes, we make the proceeding assumptions:
- (H1)
- The operator is compact.
- (H2)
- The multivalued map is measurable to ℘ for all fixed , u.s.c. to z for every and for all the setis nonempty.
- (H3)
- There exists a constant and satisfyingfor all and a.e. .
- (H4)
- For the function , there exists such that
Theorem 3.
Proof.
We approach the operator is denoted by the set of such that
where . To prove that seems to have a fixed point. Now we’ll look at an operator , where
Step 1: To show that is a closed, convex subset of for all we will now prove has a bounded value in .
where .
Hence is bounded.
Step 2: To prove, is contraction on .
Consider ,
We do not need to show anything because is a contraction.
Step 3: For the is completely continuous of .
Claim 1: For all , is convex.
Let such that , and we know
Consider then each of , we obtain
We know that is convex. So, .
Therefore,
and hence is convex.
Claim 2: In , mapping bounded sets into bounded sets. It is sufficient to show that there exists such that for all , and that exists. Consider that for all , we have
As a result, it is bounded.
Claim 3: To show that mapping bounded set to equicontinuous set of .
Consider and there exists , we get
where
Then as by using and the Lebesgue dominated convergent theorem:
consider
and exists , so by Lebesgue’s dominated convergence theorem, we have
as so we conclude .
For all , we have
From Theorem 2 and , we obtain independently of as , . Hence independently of as . This implies that is equicontinuous on .
Claim 4: To prove, is completely continuous.
For and , assume the operator on by
Hence is precompact in for all and because of the compactness of . For all z, we get
Because are arbitrary closed to . Due to the Arzela–Ascoli Theorem, is relatively compact. Hence, is a perfectly continuous operator, as evidenced by the connectedness of and relatively compactness of imply this fact.
Claim 5: is closed graph.
Assume as , and as , we must demonstrate that . Because then there exists a function such that
We have to prove there exists such that
Clearly,
Now, we will examine an operator ,
We know that is closed graph operator because of Lemma 2. From , we have
because , follows from Lemma 2, indicating that
Therefore, is a closed graph. As a result, from Step 1–3, we finalise (1) and (2) of Lemma 3.
Step 4: Consider the case where such that . We must demonstrate that a number r such that exists. Suppose there is a function that does not belong to ,
from the hypotheses –, we get
Both sides are divided by r and , and we have
This is a contradiction to our assumption. As a result, for every , . As a result, is a fixed point of , the mild solution.
Hence, we have completed the proof. □
4. Example
Let us assume that the proceeding stochastic differential inclusions
in the Hilbert space () of all Hölder continuous functions, and , , is a multivalued function fulfills the hypothesis –. Assume is a space. The one-dimensional conventional Brownian motion stands on the filtered probability space . From [9], we have the abstract expression
The almost sectorial operator is used here, and , such that . From [26] , be the constants, we write . We have and is compactly connected in the Hilbert space . According to [4] (Lemma 4.66), the operator is compact for all , so the semigroup operator is compact for all . We choose and
Then, the hypotheses – are fulfilled. According to Theorem 3, the systems (1) and (2) have the mild solution on .
5. Conclusions
The existence of stochastic differential systems with almost sectorial operators was the subject of our research. The major conclusions are established by utilising the concepts and ideas from fractional calculus, multivalued maps, semigroup theory, sectorial operators, and fixed-point technique. We started by confirming the existence of the mild solution. Then, an illustration is given to explain the principle. The exact and approximate controllability of stochastic differential systems via almost sectorial operators will be examined by using a fixed-point method, as well as we can develop with the reference of [13,14,15,16,17].
Author Contributions
Conceptualisation, S.S. and R.U.; methodology, S.S.; validation, S.S. and R.U.; formal analysis, S.S.; investigation, R.U.; resources, S.S.; writing original draft preparation, S.S.; writing review and editing, R.U.; visualisation, R.U.; supervision, R.U.; project administration, R.U. 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
Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.
Acknowledgments
The authors are grateful to the reviewers of this article who gave insightful comments and advice that allowed us to revise and improve the content of the paper. The first author would like to thank the management of VIT University for providing a teaching cum research assistant fellowship.
Conflicts of Interest
The authors declare no conflict of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| HF | Hilfer Fractional |
| R-L | Riemann Liouville |
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