Next Article in Journal
Preface to the Special Issue on “Fuzzy Natural Logic in IFSA-EUSFLAT 2021”
Next Article in Special Issue
Generalization of Reset Controllers to Fractional Orders
Previous Article in Journal
A Preserving Precision Mixed Finite Element Dimensionality Reduction Method for Unsaturated Flow Problem
Previous Article in Special Issue
Dynamical Analysis of Discrete-Time Two-Predators One-Prey Lotka–Volterra Model
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Existence of Hilfer Fractional Stochastic Differential Equations with Nonlocal Conditions and Delay via Almost Sectorial Operators

by
Sivajiganesan Sivasankar
1,
Ramalingam Udhayakumar
1,*,
Velmurugan Subramanian
2,
Ghada AlNemer
3,* and
Ahmed M. Elshenhab
4,5
1
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632014, India
2
Department of Mathematics, School of Arts, Sciences, Humanities and Education, SASTRA Deemed to be University, Thanjavur 613401, India
3
Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
4
School of Mathematics, Harbin Institute of Technology, Harbin 150001, China
5
Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt
*
Authors to whom correspondence should be addressed.
Mathematics 2022, 10(22), 4392; https://doi.org/10.3390/math10224392
Submission received: 4 October 2022 / Revised: 10 November 2022 / Accepted: 19 November 2022 / Published: 21 November 2022
(This article belongs to the Special Issue Fractional Calculus and Nonlinear Systems)

Abstract

:
In this article, we examine the existence of Hilfer fractional ( HF ) stochastic differential systems with nonlocal conditions and delay via almost sectorial operators. The major methods depend on the semigroup of operators method and the M o ¨ n c h fixed-point technique via the measure of noncompactness, and the fundamental theory of fractional calculus. Finally, to clarify our key points, we provide an application.

1. Introduction

We analyse the nonlocal stochastic differential equations with HF derivative and almost sectorial operators
D 0 + λ , μ z ( ) = A ˜ z ( ) + F , z + H , z d W ( ) d , J = ( 0 , d ] ,
I 0 + ( 1 λ ) ( 1 μ ) z ( 0 ) + N ( z ) = ξ L 2 ( Λ , B H ) , ( , 0 ] ,
where A ˜ denotes the almost sectorial operator that also generates an analytic semigroup { T ( ) , 0 } on X . D 0 + λ , μ stands for the HFD of order λ , 0 < λ < 1 and type μ , 0 μ 1 . Let z ( · ) be the state in a Hilbert space X with · . The histories z : ( , 0 ] B H , z ( a ) = z ( + a ) , a 0 are associated with phase space B H . Set J = [ 0 , d ] , and let F : J × B H X and H : J × B H L 2 0 ( U , X ) be the X -valued functions and nonlocal term N : B H X .
In 1695, the concept of fractional calculus was presented as an important branch of mathematics. It took place at about the same time as the creation of classical calculus. Investigators have shown that various nonlocal events in the disciplines of architecture and biological sciences may be effectively expressed using fractional calculus. High-viscosity, nonlinear cycles in self-comparable and porous frameworks, fluid movement analogous to diffusion, heat flow, glasses, compressibility, and other areas are among the most popular applications of fractional calculus. Because analytic setups are often challenging to obtain, the useful application of fractional calculus in these fields has encouraged many investigators to consider their options. With an expanding variety of applications in economics, inorganic chemistry, neurobiology, compressibility, pharmacology, operations research, data analysis, etc., fractional calculus is receiving more attention from the scientific community. Additionally, it has been demonstrated that fractional differential equations may be helpful modelling tools in various scientific and engineering domains. Recent years have seen a significant advancement in the field of fractional differential equations. For more information, consult the bibliography by Kilbas et al. [1], Miller and Ross [2], Podlubny [3], Lakshmikantham et al. [4], Zhou [5], as well as the papers [6,7,8,9,10,11,12,13,14,15,16] and the references therein.
Furthermore, stochastic partial differential equations have drawn much interest since they were first used to mathematically simulate various events in the humanities and natural sciences [17]. Since noise or uncontrolled fluctuations are inherent and plentiful in natural and artificial systems, stochastic models should be studied rather than deterministic ones. Stochastic differential equations (SDEs) include unpredictability in the mathematical representation of a certain occurrence. The application of SDEs in finite and infinite dimensions to describe diverse phenomena in population dynamics, physics, electrical engineering, geography, psychology, biochemistry, and some other domains of physics and technology has lately attracted a lot of attention; refer to [18,19,20,21,22,23,24] for a broad introduction to stochastic differential equations and their applications.
Hilfer [25] initiated another type of fractional order derivative, which involved the R-L and Caputo fractional derivatives. Additionally, through conceptual predictions of laboratories in solid materials, chemical industries, sets of structures designed, architecture, and several other areas, the importance and implications of the HFD have been identified. Gu and Trujillo [26] recently used a fixed-point method and a noncompact measure approach to demonstrate that the Hilfer fractional derivative evolution issue had an integral solution. They created the most recent parameter μ [ 0 , 1 ] and a fractional parameter λ , so that μ = 0 produced the R-L derivative and λ = 1 produced the Caputo derivative, to indicate the derivative’s order. Hilfer fractional calculus has been the subject of several academic works, especially [20,27,28,29]. Researchers found a mild solution for HFD systems using almost sectorial operators and a fixed-point technique, according to [30,31,32,33].
Researchers are employing almost sectorial operators to advance fractional existence for fractional calculus. Researchers have developed a novel method for locating mild solutions for the system under investigation. Researchers have also established a theory that uses fractional calculus, semigroup operators, multivalued maps, the measure of noncompactness, the transfer function, the Wright function, and the fixed-point technique to infer different features of linked semigroups formed by almost sectorial operators. For further information, we can refer to [30,33,34,35,36,37]. In [30,31,32], researchers used Schauder’s fixed-point theorem to arrive at their conclusions via almost sectorial operators. Researchers have recently used the nondense fields, cosine families, semigroup theory, numerous fixed-point approaches, and the measure of noncompactness to build fractional differential systems with nonlocal conditions with or without delay. The authors in [38,39] established their results via the M o ¨ n c h fixed-point technique with the measure of noncompactness.
In 2017, Yang et al. [29] explored the existence of mild solutions for a class of HF evolution equations with nonlocal conditions in a Banach space, by employing the semigroup principle, fixed-point strategies, and the measure of noncompactness. Recent research has focused on the existence of mild solutions and controllability outcomes of Hilfer Fractional differential equations ( HFDEs ) with delay, using the measure of noncompactness [38,39]. By utilizing Krasnoselskii’s fixed-point theorem, Dineshkumar et al. [20] developed a special collection of required criteria for the approximate controllability of an HF neutral stochastic delay integrodifferential system. In earlier research, Vijayakumar et al. [40] improved the idea of HFDEs to analyse infinite delays. The authors also discussed the appropriate presumptions necessary to prove the existence of mild solutions and the approximate controllability of HFDEs with delay in this paper. Nonetheless, most definitely, the study of the existence of HF stochastic differential systems with nonlocal conditions and infinite delay via almost sectorial operators using the measure of noncompactness outlined in this article has not been comprehended, and this encourages the present paper.
The remainder of the document is structured as follows: In Section 2, we cover the principles of fractional calculus, semigroups, phase spaces, almost sectorial operators, and measure of noncompactness. In Section 3, we present the existence of a mild solution to the considered system. Finally, to clarify our key points, we provide an application in Section 4.

2. Preliminaries

In this section, the essential preliminaries, fundamental definitions, notations, and lemmas of fractional calculus that are needed to establish the main results are presented.
The following important properties of A ˜ η is discussed.
Theorem 1
(see [12]).
  1.  
Suppose 0 < η 1 , and the accompanying X η = D ( A ˜ η ) is a Banach space with z η = A ˜ η z , z X χ .
  2.  
Assume 0 < γ < η 1 , and the accompanying D ( A ˜ η ) D ( A ˜ γ ) and the technique are compact while A ˜ is compact.
  3.  
For all 0 < η 1 , there exists C η > 0 such that
A ˜ η S ( ) C η η , 0 < d .
The family of all highly quantifiable, square-integrable, X -valued random components, specified as L 2 ( Λ , X ) , is a Banach space associated with z ( · ) L 2 ( Λ , X ) = E z ( . , W ) 2 1 2 , where E is identified as E ( z ) = Λ z ( W ) d P . A necessary subspace of L 2 ( Λ , X ) is provided by
L 2 0 ( s , X ) = { z L 2 ( Λ , X ) , z is F 0 measurable } .
Let : J X be the collection of all continuous functions, where J = [ 0 , d ] and J = ( 0 , d ] with d > 0 . Take Y = z : lim 0 1 μ + λ μ λ ϑ z ( ) exists and finite , which is the Banach space and its norm on · Y , defined as z Y = sup J 1 μ + λ μ λ ϑ z ( ) . Set B P ( J ) = { u such that u P } . We note that, if z ( ) = 1 + μ λ μ + λ ϑ y ( ) , ( 0 , d ] , then z Y iff y and z Y = y . We introduce H with H L p ( J , R + ) through H L p ( J , R + ) for all p through 1 p . The functions H : J × B H X , which are the Bochner integrable functions with norm H L p ( J , X ) , are also specified by L p ( J , X ) .
Definition 1
(see [5]). The fractional integral of order λ for the function H : [ d , ) R having the lower bound d is introduced as
I d + λ F ( ) = 1 Γ ( λ ) d F ( ν ) ( ν ) 1 λ d ν , > 0 , λ R + .
Definition 2
(see [5]). The R-L derivative has order λ > 0 , k 1 λ < k , k N , and its function H : [ d , + ) R is described as
L D d + λ F ( ) = 1 Γ ( k λ ) d k d k d F ( ν ) ( ν ) λ + 1 k d ν , > d , ν R + .
Definition 3
(see [5]). The Caputo derivative has order λ > 0 , k 1 λ < k , k N , and its function F : [ d , + ) R is classified by
C D d + λ F ( ) = 1 Γ ( k λ ) d F k ( ν ) ( ν ) λ + 1 k d ν = I d + k λ H k ( ) , > d , ν R + .
Definition 4
(see [25]). The HFD of order 0 < λ < 1 and type μ [ 0 , 1 ] for the function H : [ d , + ) R is
D d + λ , μ F ( ) = [ I d + ( 1 λ ) μ D ( I d + ( 1 λ ) ( 1 μ ) F ) ] ( ) .
Remark 1.
  1.  
Suppose μ = 0 , 0 < λ < 1 , and d = 0 , therefore the HFD corresponds to the conventional R-L fractional derivative:
D 0 + λ , 0 F ( ) = d d ν I 0 + 1 λ F ( ) = L D 0 + λ F ( ) .
  2.  
Suppose μ = 1 , 0 < λ < 1 , and d = 0 , therefore the HFD corresponds to the conventional Caputo fractional derivative:
D 0 + λ , 1 F ( ) = I 0 + 1 λ d d ν F ( ) = C D 0 + λ F ( ) .
Now, we describe the abstract phase space B H . Let w : ( , 0 ] ( 0 , + ) be continuous along l = 0 w ( ) d < + . Now, for every n > 0 , we have
B = δ : [ n , 0 ] X such that δ ( ) is measurable and bounded ,
and set the space B with
δ [ n , 0 ] = sup τ [ n , 0 ] δ ( τ ) , for all δ B .
Now, we define
B H = { δ : ( , 0 ] X such that for any n > 0 , δ | [ n , 0 ] B and 0 w ( τ ) δ [ τ , 0 ] d τ < + } .
If B H is endowed with
δ B H = 0 w ( τ ) δ [ τ , 0 ] d τ , for all δ B H ,
then ( B H , · ) is a Banach space.
Presently, we define the space
B H = z : ( , d ] X such that z | J , ξ B H .
Consider the seminorm · d in B H defined by
z d = ξ B H + sup { z ( τ ) : τ [ 0 , d ] } , z B H .
Lemma 1.
Suppose z B H , then for all J , z B H . Moreover,
l | z ( ) | z B H ξ B H + l sup r [ 0 , ] | z ( r ) | ,
where l = 0 w ( ) d < .
Definition 5
(see [35]). For 0 < ϑ < 1 , 0 < ω < π 2 , we determine the family of closed linear operators Θ ω ϑ , the region S ω = { θ C { 0 } with | a r g θ | ω } and A ˜ : D ( A ˜ ) X X which satisfy:
(i)
σ ( A ˜ ) S ω ;
(ii)
( θ A ˜ ) 1 K δ | ν | ϑ , for all ω < δ < π and there exists a constant K δ .
Then, A ˜ Θ ω ϑ is identified as an almost sectorial operator on X .
Proposition 1
(see [35]). Suppose z Θ ω ϑ , for 0 < ϑ < 1 and 0 < ω < π 2 . Next, the following conditions are satisfied:
T ( ) is analytic and d k d k T ( ) = ( A ˜ ) k T ( ) , S π 2 ω ;
T ( + ν ) = T ( ) T ( ν ) , for all ν , S π 2 ω ;
T ( ) L ( X ) κ 0 ϑ 1 , > 0 ; where the constant κ 0 > 0 ;
The D ( A ˜ θ ) Σ T provided θ > 1 ϑ , if Σ T = { z X : lim 0 + T ( ) z = z } ;
( ν A ˜ ) 1 = 0 e v ν T ( ν ) d ν , ν C and R e ( ν ) > 0 .
Definition 6
(see [41]). Define the wright function W λ ( β ) by
W λ ( β ) = k N ( β ) k 1 Γ ( 1 λ k ) ( k 1 ) ! , β C .
with the following property
0 θ ι W λ ( θ ) d θ = Γ ( 1 + ι ) Γ ( 1 + λ ι ) , for ι 0 .
Theorem 2
(see [5]). If > 0 , for all d > 0 , the continuity is uniform on [ d , ) , then S λ ( ) and Q λ ( ) are continuous in the uniform operator topology.
Lemma 2
(see [41]). If { T γ ( ) } > 0 is a compact operator, then { S γ , δ ( ) } > 0 and { Q γ ( ) } > 0 are also compact linear operators.
Lemma 3
(see [26]). System (1)–(2) is identical to an integral equation presented by
z ( ) = ξ ( 0 ) N ( z ) ) Γ ( μ ( 1 λ ) ( 1 λ ) ( μ 1 ) + 1 Γ ( λ ) 0 ( ν ) λ 1 A ˜ z ν d ν + F ν , z ν d ν + H ν , z ν d W ( ν ) .
Definition 7
(see [26]). Let z ( ) be the solution of the integral equation provided by (3), then z ( ) satisfies
z ( ) = S λ , μ ( ) ξ ( 0 ) N ( z ) + 0 K λ ( ν ) F ν , z ν d ν + 0 K λ ( ν ) H ν , z ν d W ( ν ) , J ,
where S λ , μ ( ) = I 0 μ ( 1 λ ) K λ ( ) , K λ ( ) = λ 1 Q λ ( ) and Q λ ( ) = 0 λ ϵ W λ ( ϵ ) T ( λ ϵ ) d ϵ .
Definition 8
(see [13]). A stochastic process z : ( , d ] X is said to be a mild solution of the proposed system (1)–(2), provided I 0 + ( 1 λ ) ( 1 μ ) z ( 0 ) + N ( z ) = ξ L 2 ( Λ , B H ) , ( , 0 ] and the following integral equation
z ( ) = S λ , μ ( ) ξ ( 0 ) N ( z ) + 0 ( ν ) λ 1 Q λ ( ν ) F ν , z ν d ν + 0 ( ν ) λ 1 Q λ ( ν ) H ν , z ν d W ( ν ) , J
is satisfied.
Lemma 4
(see [30]).
  1.  
K λ ( ) and S λ , μ ( ) are strongly continuous, for > 0 .
  2.  
K λ ( ) and S λ , μ ( ) are bounded linear operators on X , for any fixed S π 2 ω , and we have
K λ ( ) z κ p 1 + λ ϑ z , Q λ ( ) z κ p λ + λ ϑ z , S λ , μ ( ) z Γ ( ϑ ) Γ ( μ ( 1 λ ) + λ ϑ ) κ p 1 + μ λ μ + λ ϑ z .
We now review a few ideas related to the Hausdorff M N C .
Definition 9.
For a bounded set X in a Banach space X , the Hausdorff M N C β is denoted as
β ( X ) = inf { ϵ > 0 : X can be connected with a finite number of balls with radii ϵ } .
Lemma 5
(see [42]). Suppose X is a Banach space and X , Y X are bounded. Consequently, the following characteristics are satisfied:
  (i)  
X is precompact iff β ( X ) = 0 ;
  (ii)  
β ( X ) = β ( X ¯ ) = β ( c o n v ( X ) ) , where X ¯ and c o n v ( X ) are the closure and convex hull of X , respectively;
  (iii)  
If X Y then β ( X ) β ( Y ) ;
  (iv)  
β ( X + Y ) β ( X ) + β ( Y ) , such that X + Y = { a 1 + a 2 : a 1 X , a 2 Y } ;
  (v)  
β ( X Y ) max { β ( X ) , β ( Y ) } ;
  (vi)  
β ( γ X ) = | γ | β ( X ) , for all γ R , when X is a real Banach space;
  (vii)  
Suppose the operator Ψ : D ( Ψ ) X X 1 is Lipschitz continuous with constant κ 1 , then we know ( Ψ ( X ) ) κ 1 β ( X ) ∀ bounded subset X D ( Ψ ) , where X 1 is the another Banach space and ℘ represents the Hausdorff M N C in X 1 .
Theorem 3
(see [14]). If { v k } k = 1 is a series of Bochner integrable functions from J to X by the measurement v k ( ) β ( ) , for each V and for all k 1 , where β L 1 ( J , R ) , then the function ω ( ) = β v ( ) : k 1 is in L 1 ( J , R ) and satisfies
β 0 v k ( ν d ν : k 1 ) 2 0 ω ( ν ) d ν .
Lemma 6.
Let X X be a bounded set, then there exists a countable set X 0 X β ( X ) 2 β ( X 0 ) .
Definition 10
(see [42]). Suppose E + is the positive cone of an ordered Banach space ( E , ) . Let Ω be the function denoted on the collection of all bounded subset of the Banach space X by values in E + ; it is known as the M N C on X iff Ω ( c o n v ( ν ) ) = Ω ( ν ) for each bounded subset ν X , where c o n v ( ν ) denotes the closed convex hull of ν.
Lemma 7
(see [43]). Let G be a closed convex subset of a Banach space X and 0 G . Suppose F : G X is a continuous map that satisfies M o ¨ n c h s condition, i.e., suppose G 1 G is countable and G 1 c o ¯ { 0 } F ( G 1 ) G 1 ¯ is compact. Then, F has a fixed point in G.

3. Existence of a Mild Solution

This section deals with the existence of a mild solution for the proposed system (1)–(2), using M o ¨ n c h s fixed-point Theorem 7. The following are the essential hypotheses to prove the main theorems.
(H1)
Let A ˜ be the almost sectorial operator of the analytic semigroup T ( ) , > 0 in X such that T ( ) K 1 where K 1 0 is the constant.
(H2)
The function F : J × B H X satisfies:
(a)
Carathéodory condition: F ( · , z ) is strongly measurable for all z B H , F ( , · ) is continuous for a.e. J , and F ( · , · ) : [ 0 , S ] X is strongly measurable;
(b)
There exist a constant 0 < λ 1 < λ , m 1 L 1 λ 1 ( J , R + ) , and nondecreasing continuous function f : R + R + such that F ( , z ) m 1 ( ) f ( 1 μ + λ μ λ ϑ z ) , z X , J , where f satisfies lim inf k ψ ( k ) k = 0 ;
(c)
There exist a constant 0 < λ 2 < λ and e 1 L 1 λ 2 ( J , R + ) such that, for all bounded subsets M X , β ( F ( , M ) ) e 1 ( ) β ( M ) for a.e. J .
(H3)
The function H : J × B H L 2 0 ( U , X ) satisfies:
(a)
Carathéodory condition: H ( · , z ) is strongly measurable for all z B H , H ( , · ) is continuous for a.e. J , and H ( · , · ) : [ 0 , S ] L 2 0 ( U , X ) is strongly measurable;
(b)
There exist a constant 0 < λ 3 < λ , m 2 L 1 λ 3 ( J , R + ) , and nondecreasing continuous function : R + R + , such that H ( , z ) m 2 ( ) ( 1 μ + λ μ λ ϑ z ) , z X , J , where satisfies lim inf k σ ( k ) σ = 0 ;
(c)
There exist a constant 0 < λ 4 < λ and e 2 L 1 λ 4 ( J , R + ) such that, for all bounded subsets M X , β ( H ( , M ) ) e 2 ( ) β ( M ) for a.e. J .
(H4)
The function N : C ( J , X ) X is a continuous, compact operator and there exists a value L 1 > 0 such that N ( z 1 ) N ( z 2 ) L 1 z 1 z 2 .
Theorem 4.
If ( H 1 ) ( H 4 ) holds, then the H F stochastic system (1)–(2) has a unique solution on J provided ξ ( 0 ) D ( A ˜ θ ) with θ > 1 + ϑ .
Proof. 
Let us assume that the operator Ψ : B H B H , defined as
Ψ ( z ( ) ) = Ψ 1 ( ) , ( , 0 ] , S λ , μ ( ) ξ ( 0 ) N ( z ) + 0 ( ν ) λ 1 Q λ ( ν ) F ν , z ν d ν + 0 ( ν ) λ 1 Q λ ( ν ) H ν , z ν d W ( ν ) , J .
For Ψ 1 B H , we define Ψ ^ by
Ψ ^ ( ) = Ψ 1 ( ) , ( , 0 ] , S λ , μ ( ) ξ ( 0 ) , J ,
then Ψ ^ B H . Let z ( ) = 1 μ + λ μ λ ϑ [ v ( ) + Ψ ^ ( ) ] , < d . It is straightforward to demonstrate that z satisfies (8) iff v satisfies v 0 and
v ( ) = S λ , μ ( ) N 1 μ + λ μ λ ϑ [ v + Ψ ^ ] + 0 ( ν ) λ 1 Q λ ( ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν + 0 ( ν ) λ 1 Q λ ( ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) .
Let B H = { v B H : v 0 B H } . For all v B H ,
v b = v 0 B H + sup { v ( ν ) : 0 ν d } = sup { v ( ν ) : 0 ν d } .
Therefore, ( B H , · ) is a Banach space.
For P > 0 , choose B P = { v B H : v d P } , then B P B H is uniformly bounded, and for v B P , according to Lemma 1,
v + Ψ ^ B H v B H + Ψ ^ B H l P + Γ ( ϑ ) Γ ( μ ( 1 λ ) + λ ϑ ) κ p 1 + μ λ μ + λ ϑ + Ψ 1 B H = P .
Introducing an operator Ω : B H B H , defined by
Ω v ( ) = 0 , ( , 0 ] , S λ , μ ( ) N 1 μ + λ μ λ ϑ [ v + Ψ ^ ] + 0 ( ν ) λ 1 Q λ ( ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν + 0 ( ν ) λ 1 Q λ ( ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) , J .
Next, we show that Ω has a fixed point.
Step 1: We have to prove that there exists a positive value P such that Ω ( B P ( J ) ) B P ( J ) . Assume the statement is false, i.e., for all P > 0 , there exists v P B P ( J ) , but Ω ( v P ) is not in B P ( J ) , that is,
E v P 2 P < E sup [ 0 , d ] 1 μ + λ μ λ ϑ Ω v P ( ) 2 sup [ 0 , d ] E 1 μ + λ μ λ ϑ [ S λ , μ ( ) N 1 μ + λ μ λ ϑ [ v P + Ψ ^ ] + 0 ( ν ) λ 1 Q λ ( ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν + 0 ( ν ) λ 1 Q λ ( ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν P + Ψ ^ ν ] d W ( ν ) ] 2 3 d 2 ( 1 μ + λ μ λ ϑ ) [ E S λ , μ ( ) N 1 μ + λ μ λ ϑ [ v P + Ψ ^ ] 2 + E 0 ( ν ) λ 1 Q λ ( ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν P + Ψ ^ ν ] d ν 2 + E 0 ( ν ) λ 1 Q λ ( ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν P + Ψ ^ ν ] d W ( ν ) 2 ] 3 d 2 ( 1 μ + λ μ λ ϑ ) [ S λ , μ ( ) 2 L 1 2 v P + Ψ ^ 2 + N ( 0 ) 2 + 0 ( ν ) 2 ( λ 1 ) Q λ ( ν ) 2 E F ν , ν 1 μ + λ μ λ ϑ [ v ν P + Ψ ^ ν ] d ν 2 + 0 ( ν ) 2 ( λ 1 ) Q λ ( ν ) 2 E H ν , ν 1 μ + λ μ λ ϑ [ v ν P + Ψ ^ ν ] d W ( ν ) 2 ] 3 d 2 ( 1 μ + λ μ λ ϑ ) [ S λ , μ ( ) 2 L 1 2 v P + Ψ ^ 2 + N ( 0 ) 2 + κ p 2 0 ( ν ) 2 ( λ 1 ) ( ν ) 2 ( λ + λ ϑ ) m 1 2 ( d ) f 2 ( P ) d ν + T r ( Q ) κ p 2 0 ( ν ) 2 ( λ 1 ) ( ν ) 2 ( λ + λ ϑ ) m 2 2 ( d ) 2 ( P ) d ν ] 3 d 2 ( 1 μ + λ μ λ ϑ ) [ Γ ( ϑ ) Γ ( μ ( 1 λ ) + λ ϑ ) 2 κ p 2 d 2 ( 1 + μ λ μ + λ ϑ ) L 1 2 P 2 + N ( 0 ) 2 + d λ ϑ λ ϑ 2 κ p 2 m 1 2 ( d ) f 2 ( P ) + T r ( Q ) d λ ϑ λ ϑ 2 κ p 2 m 2 2 ( d ) 2 ( P ) ] 3 κ p 2 d 2 ( 1 μ + λ μ λ ϑ ) M * ,
where
M * = Γ ( ϑ ) Γ ( μ ( 1 λ ) + λ ϑ ) 2 d 2 ( 1 + μ λ μ + λ ϑ ) L 1 2 P 2 + N ( 0 ) 2 + d λ ϑ λ ϑ 2 κ p 2 m 1 2 ( d ) f 2 ( P ) + T r ( Q ) d λ ϑ λ ϑ 2 m 2 2 ( d ) 2 ( P ) .
The above inequality is divided by P and applying the limit as P , we obtain 1 0 , which is the contradiction. Therefore, Ω ( B P ( J ) ) B P ( J ) .
Step 2: The operator Ω is continuous on B P ( J ) since Ω maps B P ( J ) into B P ( J ) . For any v k , v B P ( J ) , k = 0 , 1 , 2 , . . . such that lim k v k = v , we have lim k v k ( ) = v ( ) and lim k 1 μ + λ μ λ ϑ v k ( ) = 1 μ + λ μ λ ϑ v ( ) .
By ( H 2 ) ,
F ( , z k ( ) ) = F , 1 μ + λ μ λ ϑ [ v k ( ) + Ψ ^ ( ) ] F , 1 μ + λ μ λ ϑ [ v ( ) + Ψ ^ ( ) ] = F ( , z ( ) ) as k .
Take
F k ( ν ) = F ν , ν 1 μ + λ μ λ ϑ [ v ν k + Ψ ^ ν ] and F ( ν ) = F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] .
Then, we may derive the following using hypotheses ( H 2 ) and Lebesgue’s dominated convergence principle.
0 ( ν ) 2 ( λ 1 ) Q λ ( ν ) 2 E F k ( ν ) F ( ν ) 2 d ν 0 as k , J .
By ( H 3 ) ,
H ( , z k ( ) ) = H , 1 μ + λ μ λ ϑ [ v k ( ) + Ψ ^ ( ) ] H , 1 μ + λ μ λ ϑ [ v ( ) + Ψ ^ ( ) ] = H ( , z ( ) ) as k .
Take
H k ( ν ) = H ν , ν 1 μ + λ μ λ ϑ [ v ν k + Ψ ^ ν ] and H ( ν ) = H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] .
Then, from hypotheses ( H 3 ) and Lebesgue’s dominated convergence theorem, we arrive at
0 ( ν ) 2 ( λ 1 ) Q λ ( ν ) 2 E H k ( ν ) H ( ν ) 2 d W ( ν ) 0 as k , J .
Take N k ( ) = N 1 μ + λ μ λ ϑ [ v k + Ψ ^ ] and N ( ) = N 1 μ + λ μ λ ϑ [ v + Ψ ^ ] , from ( H 4 ) , we have
E N k ( ) N ( ) 2 0 as k .
Now,
E Ω v k Ω v d 2 3 Γ ( ϑ ) Γ ( μ ( 1 λ ) + λ ϑ ) 2 κ p 2 d 2 ( 1 + μ λ μ + λ ϑ ) E N k ( ) N ( ) 2 + 3 κ p 2 d λ ϑ λ ϑ 2 E F k ( ν ) F ( ν ) 2 d ν + 3 T r ( Q ) κ p 2 d λ ϑ λ ϑ 2 E H k ( ν ) H ( ν ) 2 d ν .
Using (7)–(9), we obtain
E Ω v k Ω v d 2 0 as k .
Therefore, Ω is continuous on B P .
Step 3: After that, we have to demonstrate that Ω is equicontinuous.
For z B P ( J ) , and 0 1 < 2 d , we have
E Ω z ( 2 ) Ω z ( 1 ) 2 = E 2 1 μ + λ μ λ ϑ ( S λ , μ ( 2 ) N 2 1 μ + λ μ λ ϑ [ v 2 + Ψ ^ 2 ] + 0 2 ( 2 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν + 0 2 ( 2 ν ) λ 1 Q λ ( 2 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) ) 1 1 μ + λ μ λ ϑ ( S λ , μ ( 1 ) N 1 1 μ + λ μ λ ϑ [ v 1 + Ψ ^ 1 ] + 0 1 ( 1 ν ) λ 1 Q λ ( 1 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν + 0 1 ( 1 ν ) λ 1 Q λ ( 1 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) ) 2 6 E 2 1 μ + λ μ λ ϑ S λ , μ ( 2 ) N 2 1 μ + λ μ λ ϑ [ v 2 + Ψ ^ 2 ] 2 1 μ + λ μ λ ϑ S λ , μ ( 2 ) N 1 1 μ + λ μ λ ϑ [ v 1 + Ψ ^ 1 ] 2 + 6 E 2 1 μ + λ μ λ ϑ S λ , μ ( 2 ) N 1 1 μ + λ μ λ ϑ [ v 1 + Ψ ^ 1 ] 1 1 μ + λ μ λ ϑ S λ , μ ( 1 ) N 1 1 μ + λ μ λ ϑ [ v 1 + Ψ ^ 1 ] 2 + 9 E 2 1 μ + λ μ λ ϑ 0 1 ( 2 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 2 + 9 E 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 1 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 2 + 9 E 2 1 μ + λ μ λ ϑ 1 2 ( 2 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 2 + 9 E 2 1 μ + λ μ λ ϑ 0 1 ( 2 ν ) λ 1 Q λ ( 2 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 2 + 9 E 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 1 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 2 + 9 E 2 1 μ + λ μ λ ϑ 1 2 ( 2 ν ) λ 1 Q λ ( 2 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 2 i = 1 8 I i .
I 1 = 6 E 2 1 μ + λ μ λ ϑ S λ , μ ( 2 ) N 2 1 μ + λ μ λ ϑ [ v 2 + Ψ ^ 2 ] 2 1 μ + λ μ λ ϑ S λ , μ ( 2 ) N 1 1 μ + λ μ λ ϑ [ v 1 + Ψ ^ 1 ] 2 6 2 2 ( 1 μ + λ μ λ ϑ ) S λ , μ ( 2 ) 2 E N 2 1 μ + λ μ λ ϑ [ v 2 + Ψ ^ 2 ] N 1 1 μ + λ μ λ ϑ [ v 1 + Ψ ^ 1 ] 2 .
From hypotheses ( H 3 ) and (8), we obtain that I 1 tends to 0 as 2 1 .
I 2 = 6 E 2 1 μ + λ μ λ ϑ S λ , μ ( 2 ) N 1 1 μ + λ μ λ ϑ [ v 1 + Ψ ^ 1 ] 1 1 μ + λ μ λ ϑ S λ , μ ( 1 ) N 1 1 μ + λ μ λ ϑ [ v 1 + Ψ ^ 1 ] 2 6 2 1 μ + λ μ λ ϑ S λ , μ ( 2 ) 1 1 μ + λ μ λ ϑ S λ , μ ( 1 ) 2 E N 1 1 μ + λ μ λ ϑ [ v 1 + Ψ ^ 1 ] 2 .
By the strong continuity of S λ , μ ( ) and ( H 4 ) , we get I 2 0 as 2 1 .
I 3 = 9 E 2 1 μ + λ μ λ ϑ 0 1 ( 2 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 2 9 E 0 1 2 1 μ + λ μ λ ϑ ( 2 ν ) λ 1 1 1 μ + λ μ λ ϑ ( 1 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 2 9 0 1 2 1 μ + λ μ λ ϑ ( 2 ν ) λ 1 1 1 μ + λ μ λ ϑ ( 1 ν ) λ 1 2 Q λ ( 2 ν ) 2 E F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] 2 d ν 9 κ p 2 0 1 2 1 μ + λ μ λ ϑ ( 2 ν ) λ 1 1 1 μ + λ μ λ ϑ ( 1 ν ) λ 1 2 ( 2 ν ) 2 ( λ + λ ϑ ) m 1 2 ( d ) f 2 ( P ) d ν .
This implies I 3 0 as 2 1 .
I 4 = 9 E 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 1 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 2 9 E 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) Q λ ( 1 ν )
F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 2 9 1 2 ( 1 μ + λ μ λ ϑ ) 0 1 ( 1 ν ) 2 ( λ 1 ) Q λ ( 2 ν ) Q λ ( 1 ν ) 2 E F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] 2 d ν 9 1 2 ( 1 μ + λ μ λ ϑ ) 0 1 ( 1 ν ) 2 ( λ 1 ) Q λ ( 2 ν ) Q λ ( 1 ν ) 2 m 1 2 ( d ) f 2 ( P ) d ν .
Since Q λ ( ) is uniformly continuous in operator norm topology, we obtain I 4 0 as 2 1 .
I 5 = 9 E 2 1 μ + λ μ λ ϑ 1 2 ( 2 ν ) λ 1 Q λ ( 2 ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν 2 9 2 2 ( 1 μ + λ μ λ ϑ ) 1 2 ( 2 ν ) 2 ( λ 1 ) Q λ ( 2 ν ) 2 E F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] 2 d ν 9 κ p 2 2 2 ( 1 μ + λ μ λ ϑ ) 1 2 ( 2 ν ) 2 ( λ ϑ 1 ) m 1 2 ( d ) f 2 ( P ) d ν .
Integrating and 2 1 I 5 = 0 .
I 6 = 9 E 2 1 μ + λ μ λ ϑ 0 1 ( 2 ν ) λ 1 Q λ ( 2 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 2 9 E 0 1 2 1 μ + λ μ λ ϑ ( 2 ν ) λ 1 1 1 μ + λ μ λ ϑ ( 1 ν ) λ 1 Q λ ( 2 ν ) H ν , ν ( 1 + λ ϑ ) ( 1 μ ) [ v ν + Ψ ^ ν ] d W ( ν ) 2 9 0 1 2 1 μ + λ μ λ ϑ ( 2 ν ) λ 1 1 1 μ + λ μ λ ϑ ( 1 ν ) λ 1 2 Q λ ( 2 ν ) 2 E H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] 2 d W ( ν ) 9 κ p 2 T r ( Q ) 0 1 2 1 μ + λ μ λ ϑ ( 2 ν ) λ 1 1 1 μ + λ μ λ ϑ ( 1 ν ) λ 1 2 ( 2 ν ) 2 ( λ + λ ϑ ) m 2 2 ( d ) 2 ( P ) d ν .
This implies I 6 0 as 2 1 .
I 7 = 9 E 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 1 ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 2 9 E 1 1 μ + λ μ λ ϑ 0 1 ( 1 ν ) λ 1 Q λ ( 2 ν ) Q λ ( 1 ν )
H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) 2 9 T r ( Q ) 1 2 ( 1 μ + λ μ λ ϑ ) 0 1 ( 1 ν ) 2 ( λ 1 ) Q λ ( 2 ν ) Q λ ( 1 ν ) 2 E H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] 2 d ν 9 T r ( Q ) 1 2 ( 1 μ + λ μ λ ϑ ) 0 1 ( 1 ν ) 2 ( λ 1 ) Q λ ( 2 ν ) Q λ ( 1 ν ) 2 m 2 2 ( d ) 2 ( P ) d ν .
Since Q λ ( ) is uniformly continuous in operator norm topology, we obtain I 7 0 as 2 1 .
I 8 = 9 E 2 1 μ + λ μ λ ϑ 1 2 ( 2 ν ) λ 1 Q λ ( 2 ν ) H ν , ν ( 1 + λ ϑ ) ( 1 μ ) [ v ν + Ψ ^ ν ] d W ( ν ) 2 9 T r ( Q ) 2 2 ( 1 μ + λ μ λ ϑ ) 1 2 ( 2 ν ) 2 ( λ 1 ) Q λ ( 2 ν ) 2 E H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] 2 d ν 9 T r ( Q ) κ p 2 2 2 ( 1 μ + λ μ λ ϑ ) 1 2 ( 2 ν ) 2 ( λ ϑ 1 ) m 2 2 ( d ) 2 ( P ) d ν .
Integrating, we get 2 1 I 8 = 0 .
Therefore, Ω is equicontinuous on J .
Step 4: The M o ¨ n c h conditions are true.
Consider Ω = Ω 1 + Ω 2 + Ω 3 , where
Ω 1 v ( ) = S λ , μ ( ) N 1 μ + λ μ λ ϑ [ v + Ψ ^ ] , Ω 2 v ( ) = 0 ( ν ) λ 1 Q λ ( ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d ν , Ω 3 v ( ) = 0 ( ν ) λ 1 Q λ ( ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν + Ψ ^ ν ] d W ( ν ) .
Assume that G 1 B P is countable and G 1 c o ¯ { 0 } F ( G 1 ) . We show that β , the Hausdorff MNC, has the property β ( G 1 ) = 0 . Without loss of generality, we may suppose G 1 = { v k } k = 1 . Since Ω ( G 1 ) is equicontinuous on J as well.
Applying Lemma 5, and the assumptions ( H 2 ) ( c ) , ( H 3 ) ( c ) , and ( H 4 ) , we get
β { Ω 1 v k ( ) } k = 1 β S λ , μ ( ) N 1 μ + λ μ λ ϑ [ v k + Ψ ^ ] k = 1 = 0 .
Since N is compact, then S λ , μ ( ) is relatively compact.
β { Ω 2 v k ( ) } k = 1 β 0 ( ν ) λ 1 Q λ ( ν ) F ν , ν 1 μ + λ μ λ ϑ [ v ν k + Ψ ^ ν ] d ν k = 1 2 0 ( ν ) λ 1 Q λ ( ν ) e 1 ( ν ) sup < θ 0 β { v k ( θ ) } k = 1 d ν 2 d λ ϑ λ ϑ e 1 L 1 λ 2 ( J , R + ) sup < θ 0 β { v k ( θ ) } k = 1 ,
β { Ω 3 v k ( ) } k = 1 β 0 ( ν ) λ 1 Q λ ( ν ) H ν , ν 1 μ + λ μ λ ϑ [ v ν k + Ψ ^ ν ] d W ( ν ) k = 1 2 T r ( Q ) 0 ( ν ) λ 1 Q λ ( ν ) e 2 ( ν ) sup < θ 0 β { v k ( θ ) } k = 1 d ν 2 T r ( Q ) d λ ϑ λ ϑ e 2 L 1 λ 4 ( J , R + ) sup < θ 0 β { v k ( θ ) } k = 1 .
Thus, we have
β { Ω v k ( ) } k = 1 β { Ω 1 v k ( ) } k = 1 + β { Ω 2 v k ( ) } k = 1 + β { Ω 3 v k ( ) } k = 1 2 d λ ϑ λ ϑ e 1 L 1 λ 2 ( J , R + ) sup < θ 0 β { v k ( θ ) } k = 1 + 2 T r ( Q ) d λ ϑ λ ϑ e 2 L 1 λ 4 ( J , R + ) sup < θ 0 β { v k ( θ ) } k = 1 2 e 1 L 1 λ 2 ( J , R + ) + T r ( Q ) e 2 L 1 λ 4 ( J , R + ) β { v k ( ) } k = 1 M * β { v k ( ) } k = 1 ,
where M * = 2 e 1 L 1 λ 2 ( J , R + ) + T r ( Q ) e 2 L 1 λ 4 ( J , R + ) .
Since G 1 and Ω ( G 1 ) are equicontinuous for every J , it appears according to Lemma 5 that the inequality states that β ( Ω G 1 ) M * β ( G 1 ) .
As a result, given the condition of M o ¨ n c h ’s technique, we obtain
β ( G 1 ) β c o ¯ { 0 } Ω ( G 1 ) = β ( Ω G 1 ) M * β G 1 .
Given that M * < 1 , we obtain β ( G 1 ) = 0 . Thus, G 1 is relatively compact. We know that Ω has a fixed point v in G 1 according to Lemma 7. The proof is completed. □

4. Example

Examine the HF stochastic differential system containing the nonlocal condition of the form
D 0 + 2 3 , μ z ( , τ ) = z τ τ ( , τ ) + γ , χ 1 ( ν ) z ( , τ ) d ν + χ , χ 2 ( ν ) z ( , τ ) d W ( ν ) , z ( , 0 ) = z ( , π ) = 0 , J , I 0 + ( 1 2 3 ) ( 1 μ ) z ( 0 , τ ) + 0 π N ( α , τ ) z ( , τ ) d α = z ( 0 , τ ) , τ [ 0 , π ] , ( , 0 ) ,
where D 0 + 2 3 , μ denotes the HFD of order λ = 2 / 3 , type μ and χ , χ 1 , ρ and N are the required functions. Assume W ( ) is a one-dimensional normalized Brownian movement in X denoted by the smoothed probability area ( Λ , F , P ) and with · X to compose the system (10) in the abstract form of (1)–(2). To change this system into an abstract structure, let X = L 2 [ 0 , π ] and A ˜ : D ( A ˜ ) X X is defined as A ˜ x = x with
D ( A ˜ ) = x X : x , x are absolutely continuous , x X , x ( 0 ) = x ( π ) = 0
and
A ˜ x = k = 1 k 2 x , ϱ k ϱ k , ϱ D ( A ˜ ) ,
where ϱ k ( x ) = 2 π sin ( k x ) , k N is the orthogonal set of eigenvectors of A ˜ .
We know that A ˜ is the almost sectorial operator of the analytic semigroup { T ( ) , 0 } in X , T ( ) is a noncompact semigroup on X with μ ( T ( ) B ) μ ( B ) , where μ denotes the Hausdorff MNC and there exists a constant K 1 1 satisfying sup J T ( ) K 1 .
Define, F : J × B H X , H : J × B H L 2 0 ( U , X ) , and N : B H X are the appropriate functions, which satisfy the hypotheses ( H 1 ) ( H 4 ) ,
F , z ( τ ) , = γ , χ 1 ( ν ) z ( , τ ) d ν , H , z ( τ ) , = χ , χ 2 ( ν ) z ( , τ ) d W ( ν ) , N ( z ) ( τ ) = 0 π N ( α , τ ) z ( , τ ) d α .
We established some acceptance criteria for the aforementioned functions to demonstrate all of Theorem 4’s assumptions, and we confirmed that the HF stochastic system (1)–(2) had a unique mild solution.

5. Conclusions

In this study, we concentrated on the existence of a mild solution of HF stochastic differential equations using nonlocal conditions and delay via an almost sectorial operator. The essential results were demonstrated by employing the findings and concepts belonging to almost sectorial operators, fractional calculus, the measure of noncompactness, and the fixed-point method. Finally, to explain the principle, we offered an example. In the years ahead, we will study the exact controllability of HF stochastic differential systems with infinite delay through almost sectorial operators by using the fixed-point approach.

Author Contributions

Conceptualisation, S.S., R.U., V.S., G.A. and A.M.E.; methodology, S.S.; validation, S.S., R.U., V.S., G.A. and A.M.E.; formal analysis, S.S.; investigation, R.U.; resources, S.S.; writing original draft preparation, S.S.; writing review and editing, R.U., V.S., G.A. and A.M.E.; visualisation, R.U., V.S., G.A. and A.M.E.; supervision, R.U.; project administration, R.U. All authors have read and agreed to the published version of the manuscript.

Funding

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

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

Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2022R45), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Conflicts of Interest

This work does not have any conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
HF Hilfer fractional
HFD Hilfer fractional derivative
HFDEs Hilfer fractional differential equations
MNCMeasure of noncompactness
SDEsStochastic differential equations
R-LRiemann-Liouville

References

  1. Kilbas, A.A.; Srivastava, H.M.; Trujillo, J.J. Theory and Applications of Fractional Differential Equations; Elsevier: Amsterdam, The Netherlands, 2006; p. 204. [Google Scholar]
  2. Miller, K.S.; Ross, B. An Introduction to the Fractional Calculus and Differential Equations; John Wiley: New York, NY, USA, 1993. [Google Scholar]
  3. Podlubny, I. Fractional Differential Equations; Academic Press: San Diego, CA, USA, 1999. [Google Scholar]
  4. Lakshmikantham, V.; Vatsala, A.S. Basic Theory of Fractional Differential Equations. Nonlinear Anal. Theory Methods Appl. 2008, 69, 2677–2682. [Google Scholar] [CrossRef]
  5. Zhou, Y. Basic Theory of Fractional Differential Equations; World Scientific: Singapore, 2014. [Google Scholar]
  6. Agarwal, R.P.; Lakshmikanthan, V.; Nieto, J.J. On the concept of solution for fractional differential equations with uncertainty. Nonlinear Anal. Theory Methods Appl. 2010, 72, 2859–2862. [Google Scholar] [CrossRef]
  7. Ahmad, B.; Alsaedi, A.; Ntouyas, S.K.; Tariboon, J. Hadamard-Type Fractional Differential Equations, Inclusions and Inequalities; Springer International Publishing AG: Berlin/Heidelberg, Germany, 2017. [Google Scholar]
  8. Diethelm, K. The Analysis of Fractional Differential Equations; An Application-Oriented Exposition Using Differential Operators of Caputo Type; Lecture Notes in Mathematics; Springer: Berlin, Germany, 2010. [Google Scholar]
  9. Guo, Y.; Shu, X.B.; Li, Y.; Xu, F. The existence and Hyers-Ulam stability of solution for an impulsive Riemann-Liouville fractional neutral functional stochastic differential equation with infinite delay of order 1<β<2, Bound. Value Probl. 2019, 2019, 59. [Google Scholar] [CrossRef]
  10. Khaminsou, B.; Thaiprayoon, C.; Sudsutad, W.; Jose, S.A. Qualitative analysis of a proportional Caputo fractional Pantograph differential equation with mixed nonlocal conditions. Nonlinear Funct. Anal. Appl. 2021, 26, 197–223. [Google Scholar]
  11. Mohan Raja, M.; Vijayakumar, V.; Udhayakumar, R. Results on existence and controllability of fractional integro-differential system of order 1<r<2 via measure of noncompactness. Chaos Solitons Fractals 2020, 139, 110299. [Google Scholar]
  12. Pazy, A. Semigroups of Linear Operators and Applications to Partial Differential Equations; Applied Mathematical Sciences; Springer: New York, NY, USA, 1983; Volume 44. [Google Scholar]
  13. Wang, J.; Zhou, Y. Existence and Controllability results for fractional semilinear differential inclusions. Nonlinear Anal. Real World Appl. 2011, 12, 3642–3653. [Google Scholar] [CrossRef]
  14. Wang, J.R.; Fin, Z.; Zhou, Y. Nonlocal controllability of semilinear dynamic systems with fractional derivative in Banach spaces. J. Optim. Theory Appl. 2012, 154, 292–302. [Google Scholar] [CrossRef]
  15. Williams, W.K.; Vijayakumar, V.; Udhayakumar, R.; Nisar, K.S. A new study on existence and uniqueness of nonlocal fractional delay differential systems of order 1<r<2 in Banach spaces. Numer. Methods Partial Differ. Equ. 2020, 37, 949–961. [Google Scholar] [CrossRef]
  16. Salmon, N.; SenGupta, I. Fractional Barndorff-Nielsen and Shephard model: Applications in variance and volatility swaps, and hedging. Ann. Financ. 2021, 17, 529–558. [Google Scholar] [CrossRef]
  17. Mao, X. Stochastic Differential Equations and Applications; Horwood: Chichester, UK, 1997. [Google Scholar]
  18. Boudaoui, A.; Slama, A. Approximate controllability of nonlinear fractional impulsive stochastic differential equations with nonlocal conditions and infinite delay. Nonlinear Dyn. Syst. Theory 2016, 16, 3548. [Google Scholar]
  19. Dineshkumar, C.; Udhayakumar, R.; Vijayakumar, V.; Nisar, K.S. Results on approximate controllability of neutral integro-differential stochastic system with state-dependent delay. Numer. Methods Partial Differ. Equ. 2020, 1–15. [Google Scholar] [CrossRef]
  20. Dineshkumar, C.; Udhayakumar, R. New results concerning to approximate controllability of Hilfer fractional neutral stochastic delay integro-differential system. Numer. Methods Partial Differ. Equ. 2021, 37, 1072–1090. [Google Scholar] [CrossRef]
  21. Evans, L.C. An Introduction to Stochastic Differential Equations; University of California: Berkeley, CA, USA, 2013. [Google Scholar]
  22. Ma, X.; Shu, X.B.; Mao, J. Existence of almost periodic solutions for fractional impulsive neutral stochastic differential equations with infinite delay. Stochastics Dyn. 2020, 20, 2050003. [Google Scholar] [CrossRef]
  23. Sakthivel, R.; Ren, Y.; Debbouche, A.; Mahmudov, N.I. Approximate controllability of fractional stochastic differential inclusions with nonlocal conditions. Appl. Anal. 2016, 95, 2361–2382. [Google Scholar] [CrossRef]
  24. Sivasankar, S.; Udhayakumar, R. A note on approximate controllability of second-order neutral stochastic delay integro-differential evolution inclusions with impulses. Math. Methods Appl. Sci. 2022, 45, 6650–6676. [Google Scholar] [CrossRef]
  25. Hilfer, R. Application of Fractional Calculus in Physics; World Scientific: Singapore, 2000. [Google Scholar]
  26. Gu, H.; Trujillo, J.J. Existence of integral solution for evolution equation with Hilfer fractional derivative. Appl. Math. Comput. 2015, 257, 344–354. [Google Scholar]
  27. Sivasankar, S.; Udhayakumar, R. Hilfer Fractional Neutral Stochastic Volterra Integro-Differential Inclusions via Almost Sectorial Operators. Mathematics 2022, 10, 2074. [Google Scholar] [CrossRef]
  28. Sivasankar, S.; Udhayakumar, R. New Outcomes Regarding the Existence of Hilfer Fractional Stochastic Differential Systems via Almost Sectorial Operators. Fractal Fract. 2022, 6, 522. [Google Scholar] [CrossRef]
  29. Yang, M.; Wang, Q. Existence of mild solutions for a class of Hilfer fractional evolution equations with nonlocal conditions. Fract. Calc. Appl. Anal. 2017, 20, 679–705. [Google Scholar] [CrossRef]
  30. Jaiswal, A.; Bahuguna, D. Hilfer fractional differential equations with almost sectorial operators. Differ. Equ. Dyn. Syst. 2020, 1–17. [Google Scholar] [CrossRef]
  31. Bedi, P.; Kumar, A.; Abdeljawad, T.; Khan, Z.A.; Khan, A. Existence and approximate controllability of Hilfer fractional evolution equations with almost sectorial operators. Adv. Differ. Equ. 2020, 615, 615. [Google Scholar] [CrossRef]
  32. Karthikeyan, K.; Debbouche, A.; Torres, D.F.M. Analysis of Hilfer fractional integro-differential equations with almost sectorial operators. Fractal Fract. 2021, 5, 22. [Google Scholar] [CrossRef]
  33. Varun Bose, C.S.; Udhayakumar, R. A note on the existence of Hilfer fractional differential inclusions with almost sectorial operators. Math. Methods Appl. Sci. 2021, 45, 2530–2541. [Google Scholar] [CrossRef]
  34. Li, F. Mild solutions for abstract differential equations with almost sectorial operators and infinite delay. Adv. Differ. Equ. 2013, 2013, 327. [Google Scholar] [CrossRef]
  35. Periago, F.; Straub, B. A functional calculus for almost sectorial operators and applications to abstract evolution equations. J. Evol. Equ. 2002, 2, 41–62. [Google Scholar] [CrossRef]
  36. Wang, R.N.; Chen, D.H.; Xiao, T.J. Abstract fractional Cauchy problems with almost sectorial operators. J. Differ. Equ. 2012, 252, 202–235. [Google Scholar] [CrossRef] [Green Version]
  37. Zhang, L.; Zhou, Y. Fractional Cauchy problems with almost sectorial operators. Appl. Math. Comput. 2014, 257, 145–157. [Google Scholar] [CrossRef]
  38. Kavitha, K.; Vijayakumar, V.; Udhayakumar, R. Results on controllability on Hilfer fractional neutral differential equations with infinite delay via measure of noncompactness. Chaos Solitons Fractals 2020, 139, 110035. [Google Scholar] [CrossRef]
  39. Kavitha, K.; Vijayakumar, V.; Udhayakumar, R.; Nisar, K.S. Result on the existence of Hilfer fractional neutral evolution equations with infinite delay via measures of noncompactness. Math. Methods Appl. Sci. 2020, 44, 1438–1455. [Google Scholar] [CrossRef]
  40. Vijayakumar, V.; Udhayakumar, R. Results on approximate controllability for non-densely defined Hilfer fractional differential system with infinite delay. Chaos Solitons Fractals 2020, 139, 110019. [Google Scholar] [CrossRef]
  41. Zhou, M.; Li, C.; Zhou, Y. Existence of mild solutions for Hilfer fractional differential evolution equations with almost sectorial operators. Axioms 2022, 11, 144. [Google Scholar] [CrossRef]
  42. Ji, S.; Li, G.; Wang, M. Controllability of impulsive differential systems with nonlocal conditions. Appl. Math. Comput. 2011, 217, 6981–6989. [Google Scholar] [CrossRef]
  43. Mönch, H. Boundary value problems for nonlinear ordinary differential equations of second order in Banach spaces. Nonlinear Anal. 1980, 4, 985–999. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Sivasankar, S.; Udhayakumar, R.; Subramanian, V.; AlNemer, G.; Elshenhab, A.M. Existence of Hilfer Fractional Stochastic Differential Equations with Nonlocal Conditions and Delay via Almost Sectorial Operators. Mathematics 2022, 10, 4392. https://doi.org/10.3390/math10224392

AMA Style

Sivasankar S, Udhayakumar R, Subramanian V, AlNemer G, Elshenhab AM. Existence of Hilfer Fractional Stochastic Differential Equations with Nonlocal Conditions and Delay via Almost Sectorial Operators. Mathematics. 2022; 10(22):4392. https://doi.org/10.3390/math10224392

Chicago/Turabian Style

Sivasankar, Sivajiganesan, Ramalingam Udhayakumar, Velmurugan Subramanian, Ghada AlNemer, and Ahmed M. Elshenhab. 2022. "Existence of Hilfer Fractional Stochastic Differential Equations with Nonlocal Conditions and Delay via Almost Sectorial Operators" Mathematics 10, no. 22: 4392. https://doi.org/10.3390/math10224392

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop