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Article

Analysis of an Abstract Delayed Fractional Integro-Differential System via the α-Resolvent Operator

by
Ishfaq Khan
1,
Akbar Zada
1,*,
Ioan-Lucian Popa
2,3,* and
Afef Kallekh
4
1
Department of Mathematics, University of Peshawar, Peshawar 25120, Khyber Pakhtunkhwa, Pakistan
2
Department of Computing, Mathematics and Electronics, “1 Decembrie 1918” University of Alba Iulia, 510009 Alba Iulia, Romania
3
Faculty of Mathematics and Computer Science, Transilvania University of Brasov, Iuliu Maniu Street 50, 500091 Brasov, Romania
4
Department of Mathematics, Faculty of Science, King Khalid University, Abha 61413, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Axioms 2025, 14(2), 111; https://doi.org/10.3390/axioms14020111
Submission received: 3 December 2024 / Revised: 28 January 2025 / Accepted: 29 January 2025 / Published: 1 February 2025

Abstract

:
This paper explores the mild solutions of partial impulsive fractional integro-differential systems of order 1 < α < 2 in a Banach space. We derive the solution of the system under the assumption that the homogeneous part of the system admits an α -resolvent operator. Krasnoselskii’s fixed point theorem is used for the existence of solution, while uniqueness is ensured using Banach’s fixed point theorem. The stability of the system is analyzed through the framework of Hyers–Ulam stability using Lipschitz conditions. Finally, examples are presented to illustrate the applicability of the theoretical results.
MSC:
34K45; 34K30; 45J05; 34A37; 93C20; 93B05

1. Introduction

We investigate the system:
D 0 α c u ( s ) = A u ( s ) + 0 s E ( s t ) u ( t ) d t + w ( s , u s , 0 s e ( s , t , u t ) d t ) , s [ 0 , T ] = I , s s j , u ( 0 ) = χ + μ ( u ) B , u ( 0 ) = 0 , Δ u ( s j ) = J j ( u s j ) , j { 0 , 1 , , m } ,
where D 0 α c denotes the Caputo derivative with 1 < α < 2 , A is a closed linear operator with domain D ( A ) that satisfies the Hille–Yosida axiom, D ( A ) ¯ = U is a Banach space ( BS ) , and E represents the set of operators mapped from D ( A ) to U that are linear and bounded. The mappings u s : ( , T ] U defined by u s ( θ ) = u ( s + θ ) are elements of an abstract space B defined axiomatically. Consider the sequence 0 = s 0 < s 1 < < s m + 1 = T of specified values and w : I × B × U U , e : I × I × B U suitable mappings. The jump Δ u ( s ) for any function u at a specific point s is defined as Δ u ( s ) = u ( s + ) u ( s ) .
In applied mathematics, fractional calculus is an intransitive area that works with integrals and derivatives of real-number or complex-number powers. Developing calculus for differential and integral operators of such powers generalizes classical calculus. Due to its multiple uses in viscoelasticity, biology, control hypotheses, information processing system, and image processing [1,2,3,4,5], fractional calculus has garnered significant relevance and appreciation. Fractional differential equations are also utilized to examine processes such as the rate of substrate dimerization during electrochemical reduction and the analysis of ground water flow problems.
The existence and uniqueness of solutions are key requirements for boundary value problems involving fractional differential equations, revealing the specific behavior of the solution. The existence of mild solutions for fractional integro-differential equations is established through the use of fixed point ( FP ) theory in Banach spaces ( BS s ) using the Caputo fractional derivative in [6]. Shu et al. [7] investigated mild solutions for impulsive fractional evolution equations of order 0 < α < 1 . Building on analytic results using the Mittag-Leffler function proposed a new and more suitable definition of mild solutions for these equations. In recent years, much work has been done on different classes of fractional and integro-differential equations using approaches such as semigroup theory [8,9], resolvent operator theory [10,11,12] and α -resolvent operator theory [13,14,15,16,17,18].
It has also be shown that stability analysis is a key aspect of the qualitative research on fractional differential equations [19]. This approach, which emphasizes the stability of differential equations rather than seeking explicit solutions, is recognized for its effectiveness in producing solutions that closely approximate the exact ones. Recently, the authors of [20] examined the Hyers–Ulam stability ( HUS ) of a coupled system involving Ψ -Caputo fractional derivatives with multipoint–multistrip integral-type boundary conditions, while Sene et al. [6] demonstrated the HUS of the mild solution for fractional integro-differential equations. For recent literature on stability analysis of differential equations, interested readers can see [21,22,23,24,25,26] and the references therein.
There has been a surge of research focused on solving systems using the α -resolvent operator. Many studies have built on the related findings, exploring various aspects and applications of the α -resolvent operator in solving fractional integro-differential systems. In 2012, Agarwal et al. [13] investigated the qualitative properties and the existence of an α -resolvent operator for the system
D 0 α c u ( s ) = A u ( s ) + 0 s E ( s ε ) u ( ε ) d ε , s I , u ( 0 ) = u 0 , u ( 0 ) = u 1 ,
where 1 < α < 2 and where A , { E ( s ) } s 0 are closed linear operators defined on a domain which is dense in U . They further examined the existence and regularity of solutions for the nonhomogeneous system
D 0 α c u ( s ) = A u ( s ) + 0 s E ( s ε ) u ( ε ) d ε + Z ( s ) , s I , u ( 0 ) = u 0 , u ( 0 ) = u 1 ,
where Z L 1 ( [ 0 , T ] , U ) . They assumed that the α -resolvent operator is exponentially bounded, meaning that there exists some w > 0 such that τ α ( s ) M e w s . Additionally, they demonstrated that the mild and classical solutions of (3) coincide when Z L 1 ( [ 0 , T ] , D ( A ) ) .
Following the work of Agarwal et al., Santos et al. [27] established the existence of mild solutions of fractional integro-differential equations with state-dependent delay using the α -resolvent operator and FP theory. Vijayakumar et al. [18] examined the fractional integro-differential inclusions in BS s via the resolvent operator and provided the sufficient conditions for controllability by employing Bohnenblust–Karlin’s FP theorem. Similarly, the authors of [17] investigated the approximate controllability of fractional semilinear integro-differential equations using α -resolvent operators, offering two alternative sets of necessary conditions for the problem. The first set employs functional analysis theories and the compactness of the associated resolvent operator, while the second utilizes Gronwall’s inequality. For insights into existence results, controllability, and approximate controllability of fractional integro-differential equations, interested readers may see [15,17,20,28,29,30] and the references therein.
Impulsive delayed fractional integro-differential equations are commonly encountered as models in various applications, which has led to significant attention on the study of such equations in recent years. The literature on this topic primarily focuses on first-order impulsive differential equations with delays; for examples, see [11,14,31,32]. The problem of solution existence for partial fractional differential equations using the α -resolvent operator and FP theory has been explored in a number of recent works [6,7,15,27,30]. In our current work, we extend and build upon previous research in the area of fractional integro-differential equations with delay. In [33], Agarwal et al. provided the sufficient conditions for the existence of mild solutions for a class of fractional integro-differential equations with state-dependent delays. Here, we further extend this to impulsive systems, which introduces additional complexity. Furthermore, while studies such as [34,35] have investigated the existence and uniqueness of solutions for fractional differential equations with delays, our study introduces the use of the α -resolvent operator for partial impulsive fractional integro-differential systems with 1 < α < 2 , offering a more generalized framework for analyzing these systems. In previous research, studies have either focused on analyzing partial fractional integro-differential systems without impulses, or have considered partial impulsive integro-differential systems while employing different fixed point techniques. The main novelty of this work lies in the methodological approach employed to investigate the studied instantaneous impulsive fractional integro-differential system containing delay and incorporating the Caputo derivative with order 1 < α < 2 . To the best of our knowledge, this is the first study to examine the existence of a mild solution for System (1) using the α -resolvent operator and Krasnoselskii’s FP approach. Furthermore, this study establishes the HUS for System (1), which has yet to be studied in the literature by using the α -resolvent approach for fractional systems.
The rest of this paper is organized as follows: in Section 2, we provide the essential definitions and results that are employed in the subsequent sections; in Section 3, we provide the variation of constants formula for System (1); in Section 4, we outline the sufficient conditions for the existence and uniqueness of the mild solution and establish the HUS ; finally, examples are provided in the concluding section.

2. Basics

Let U = ( U , . ) , U = ( D ( A ) , . U ) be BS s, A : D ( A ) U U be a closed linear operator, and u U = A u + u u D ( A ) . L ( U ; U ) denote the BS endowed with the uniform operator topology and consisting of operators from U to U which is linear and bounded. When U = U , then L ( U ; U ) is written as L ( U ) , with ( D ( A ) ) denoting the domain of A endowed with the graph norm. Let 0 ρ ( A ) be the resolvent set of A ; then, A 1 exists. Additionally, if A meets the Hille–Yosida condition [36], then we have s 1 and s 2 in R such that
( s 1 , ) ρ ( A ) , and ( λ A ) n s 2 ( λ s 1 ) n , n = 1 , 2 , , λ > s 1 .
For impulsive conditions, we introduce additional terms and notation. We define P C ( I , U ) as the space consisting of functions u : [ 0 , T ] U such that u is continuous at s s j , u ( s j ) = u ( s j ) and u ( s j + ) exists for each j = 1 , 2 , , m . In this paper, P C ( I , U ) is equipped with the norm u P C = sup s [ 0 , T ] | u ( s ) | . Evidently, ( P C ( I , U ) , · P C ) is a BS .
For convenience, let s 0 = 0 and T = s m + 1 . For every u P C ( I , U ) , we have u j ¯ , which is defined for j = 0 , 1 , , m , belongs to C ( [ s j , s j + 1 ] ; U ) , and is expressed as follows:
u j ¯ = u ( s ) , s ( s j , s j + 1 ] , u ( s j + ) , s = s j .
In addition, if B is a subset of P C ( I , U ) , we define B j ¯ as B j ¯ = { u j ¯ : u B } . For a foundational study on differential equations with impulses, see [37,38].
Lemma 1.
[31] A subset B of P C ( I , U ) is relatively compact in P C ( I , U ) if and only if B j ¯ are relatively compact in C ( [ s j , s j + 1 ] ; U ) for every j = 0 , 1 , 2 , , m , .
For the phase space B , we use an axiomatic definition following a framework akin to that in [32]. A linear space B comprises functions that map from ( , 0 ] to U and is equipped with seminorm . B . Moreover, B meets certain axiomatic criteria.
  • If u : ( , ξ + T ] U , T ( 0 , ) and u ξ B , and if u | [ ξ , ξ + T ] P C ( [ ξ , ξ + a ] ; U ) , then the following is true for ξ s ξ + T :
    • (i) u s is in B ; (ii) u ( s ) H u s B , H > 0 ; (iii) u s B F ( s ξ ) sup { u ( t ) : ξ t s } + G ( s ξ ) u ξ B ,  F and G are functions from [ 0 , ) to [ 1 , ) , F is continuous, G is locally bounded, and H, F, and G do not depend on u ( · ) .
  • The space B is complete.
Definition 1.
[9] The fractional integral I 0 α with 0 as a lower limit and order α for u is
I 0 α u ( s ) = 1 Γ ( α ) 0 s u ( r ) ( s r ) 1 α d r , s > 0 , α > 0 ,
where Γ ( . ) is a gamma function. This definition is valid as long as the right-hand side is defined pointwise for 0 s < .
Definition 2.
[9] The RL derivative D 0 α R with a lower limit 0 and order α for u is defined as
D 0 α R u ( s ) = 1 Γ ( n α ) d n d s n 0 s u ( r ) ( s r ) 1 n + α d r , s > 0 , n 1 < α < n ,
which is valid as long as the right-hand side is defined pointwise for s ( o , ) .
Definition 3.
[9] The Caputo derivative D 0 α c with a lower limit 0 and order α for u is defined as
D 0 α c u ( s ) = D 0 α R u ( s ) k = 0 n 1 s k k ! u k ( 0 ) , s > 0 , n 1 < α < n .
We address the solution of System (1) by employing the α -resolvent operator, which is defined below.
Definition 4.
[36] A set of operators ( τ α ( s ) ) s 0 such that τ α ( s ) L ( U ) is an α-resolvent operator for System (2) when the following conditions are fulfilled:
  • ( T 1 ) τ α ( . ) : [ 0 , ) L ( U ) is strongly continuous and
    τ α ( 0 ) u = 0 , u in U , 1 < α < 2 .
  • ( T 2 ) For u in U , τ α ( . ) u C ( [ 0 , ) , D ( U ) C 1 ( [ 0 , ) , U ) ,
    D 0 α c τ α ( s ) u = A τ α ( s ) u + 0 s E ( s r ) τ α ( r ) u d r ,
    D 0 α c τ α ( s ) u = τ α ( ε ) A u + 0 s τ α ( s r ) E ( r ) u d r , u U , s 0 .
In this paper, we adopt the following conditions:
( P 1 ) Suppose that A : D ( A ) U U is a closed linear operator with ( D ( A ) ) ¯ = U . Let α ( 1 , 2 ) . For some Φ 0 ( 0 , π 2 ] , for each Φ < Φ 0 let there be 0 < L 0 = L 0 ( Φ ) such that Λ ρ ( A ) for each Λ Π 0 , α φ = { Λ C : | a r g ( Λ ) | < Λ φ , Λ 0 } . Finally, R ( Λ , A ) L 0 | Λ | , Λ Π 0 , α φ , where φ = Φ + π 2 .
( P 2 ) E ( s ) : D ( E ) U U is closed linear operator for all s > 0 with D ( A ) D ( E ( s ) ) , and E ( s ) u is strongly measurable for s ( 0 , ) and each u D ( A ) . We have q ( . ) L l o c 1 ( R + ) such that q ˜ ( Λ ) exists for the real part of Λ greater than 0 and E ( s ) u q ( s ) u 1 , s > 0 , u D ( A ) . Furthermore, E ˜ : Π 0 , π 2 L ( D ( A ) , U ) has an analytic extension to Π 0 , φ (also represented by E ˜ ) , such that
E ˜ ( Λ ) u E ˜ ( Λ ) u 1 , u D ( A )
and
E ˜ ( λ ) O ( 1 | λ | ) , as λ .
( P 3 ) There is a subspace D D ( A ) such that D ¯ = ( D ( A ) ) and L 1 > 0 such that A ( D ) D ( A ) , E ˜ ( λ ) ( D ) D ( A ) , A E ˜ ( λ ) u L 1 u for each u D and every λ Π 0 , φ .
In the sequelae, for r ( 0 , ) , ϕ ( π 2 , φ ) , Π r , ϕ = { Λ C : Λ 0 , | Λ | > r , | a r g ( Λ ) | < ϕ } . By γ r , ϕ , γ r , ϕ i , i = 1 , 2 , 3 we denotes the paths γ r , ϕ 1 = { s e i ϕ : s r } , γ r , ϕ 2 = { s e i ε : ϕ ε ϕ } , γ r , ϕ 3 = { s e i ϕ : s r } and γ r , ϕ = i = 1 3 γ r , ϕ i oriented counterclockwise. Moreover, ρ α ( G α ) = Λ C : G α ( Λ ) = Λ α 1 ( Λ α I d A E ˜ ( Λ ) ) 1 L ( U ) .
We describe ( τ α ( s ) ) s 0 by
τ α ( s ) = 1 2 π i γ r , θ e Λ s G α ( Λ ) d Λ , s > 0 and τ α ( s ) = I d , when s = 0 .
Theorem 1
([17]). Assuming that conditions ( P 1 ) ( P 3 ) are met, then System (2) possesses an α-resolvent operator.
Theorem 2
([13]). The mapping τ α from ( 0 , ) to L ( U ) is uniformly continuous, while the mapping τ α from [ 0 , ) to L ( U ) is strongly continuous.
In our study, we assume that conditions ( P 1 ) ( P 3 ) are satisfied.
Definition 5
([17], Definition 2.5). Let α be in the interval ( 1 , 2 ) . We introduce the operator S α , defined by
S α ( s ) u = 0 s g α 1 ( s r ) τ α ( r ) u d s , for every s 0 , where g α ( r ) = r α 1 Γ ( α ) , r > 0 , α > 0 .
Lemma 2
([17], Lemma 2.6).  τ α ( . ) exhibits exponential boundedness within L ( U ) .
Lemma 3
([17], Lemma 2.7). If τ α ( . ) is bounded by an exponential function in L ( U ) , then S α ( . ) is also bounded by an exponential function in L ( U ) .
Lemma 4
([17], Lemma 2.8). If τ α ( . ) is bounded by an exponential function in L ( D ( A ) ) , then S α ( . ) is also bounded by an exponential function in L ( D ( A ) ) .
Lemma 5
([17], Lemma 2.18). Let E U such that E is non-empty, closed, bounded, and convex. Consider an upper semicontinuous mapping H : E 2 U that takes closed and convex values such that H ( E ) is compact and H ( E ) E . Then, H has an FP .
Theorem 3.
Suppose that U is a BS and that B U such that it is bounded, closed, and convex. Let T , R be maps from B into U so that T u + R w B for all u , w B . If T is a contraction and R is completely continuous, then T u + R u = u has a solution in B .

3. Representation of the Solution

For System (1), we utilize the α -resolvent operator to obtain the variation of constants formula.
Theorem 4.
Suppose that w : I × B × U U , e : I × I × B U are continuous functions, E ( s ) is an operator which is bounded and linear, and u ( 0 ) = χ + μ ( u ) B . If u ( . ) is a classical solution to (1) within I , then
u ( s ) = τ α ( s ) ( χ ( 0 ) + μ ( u ( 0 ) ) ) + 0 < s j < s τ α ( s s j ) J j ( u ( s j ) ) + 0 s S α ( s r ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r for s I .
Proof. 
Applying I 0 α to each side of (1) for s in the interval [ 0 , s 1 ] provides us with
u ( s ) = χ ( 0 ) + μ ( u ) ( 0 ) + 0 s g α ( s r ) A u ( r ) d r + 0 s g α ( s r ) 0 r E ( r ε ) u ( ε ) d ε d r + 0 s g α ( s r ) w ( r , u r , 0 r e ( r , η , u η ) d η ) ) d r .
Letting s ( s 1 , s 2 ] and applying I 0 α on both sides of (1), we obtain
u ( s ) = u ( s 1 + ) + s 1 s g α ( s r ) A u ( r ) d r + s 1 s g α ( s r ) 0 r E ( r ε ) u ( ε ) d ε d r + s 1 s g α ( s r ) w ( r , u r , 0 r e ( r , η , u η ) d η ) ) d r .
Now, putting values
u ( s ) = u ( s 1 ) + J 1 ( u ( s 1 ) ) + o s g α ( s r ) A u ( r ) d r o s 1 g α ( s 1 r ) A u ( r ) d r + s 1 s g α ( s r ) 0 r E ( r ε ) u ( ε ) d ε d r + s 1 s g α ( s r ) w ( r , u r , 0 r e ( r , η , u η ) d η ) ) d r ,
we can substitute s = s 1 in (7) and use this result in (8) to obtain
u ( s ) = χ ( 0 ) + μ ( u ) ( 0 ) + J 1 ( u ( s 1 ) ) + 0 s 1 g α ( s 1 r ) A u ( r ) d r + 0 s 1 g α ( s 1 r ) 0 r E ( r ε ) u ( ε ) d ε d r + 0 s 1 g α ( s 1 r ) w ( r , u r , 0 r e ( r , η , u η ) d η ) ) d r + o s g α ( s r ) A u ( r ) d r o s 1 g α ( s 1 r ) A u ( r ) d r + s 1 s g α ( s r ) 0 r E ( r ε ) u ( ε ) d ε d r + s 1 s g α ( s r ) w ( r , u r , 0 r e ( r , η , u η ) d η ) ) d r = χ ( 0 ) + μ ( u ) ( 0 ) + J 1 ( u ( s 1 ) ) + o s g α ( s r ) A u ( r ) d r + 0 s g α ( s r ) 0 r E ( r ε ) u ( ε ) d ε d r + 0 s g α ( s r ) w ( r , u r , 0 r e ( r , η , u η ) d η ) ) d r .
Similarly, for s ( s 2 , s 3 ] we can take the integral from s 1 + to s:
u ( s ) = χ ( 0 ) + μ ( u ) ( 0 ) + J 1 ( u ( s 1 ) ) + J 2 ( u ( s 2 ) ) + o s g α ( s r ) A u ( r ) d r + 0 s g α ( s r ) 0 r E ( r ε ) u ( ε ) d ε d r + 0 s g α ( s r ) w ( r , u r , 0 r e ( r , η , u η ) d η ) ) d r .
Proceeding in a similar fashion,
u ( s ) = χ ( 0 ) + μ ( u ) ( 0 ) + 0 < s j < s J j ( u ( s j ) ) + o s g α ( s r ) A u ( r ) d r + 0 s g α ( s r ) 0 r E ( r ε ) u ( ε ) d ε d r + 0 s g α ( s r ) w ( r , u r , 0 r e ( r , η , u η ) d η ) ) d r .
Now, considering (5), we obtain
τ α ( s ) u = u + o s g α ( s r ) τ α ( r ) A u d r + 0 s g α ( s r ) 0 r τ α ( r ε ) E ( r ) u d ε d r .
From (10), we have
I d = τ α g α τ α A g α τ α E ,
which implies that
I d u = ( τ α g α τ α A g α τ α E ) u = τ α ( u g α A u g α E u ) = τ α ( χ ( 0 ) + μ ( u ) ( 0 ) + 0 < s j < s J j ( u ( s j ) ) + g α w ) = τ α ( χ ( 0 ) + μ ( u ) ( 0 ) ) + 0 < s j < s τ α J j ( u ( s j ) ) + g 1 g α 1 τ α w ) .
Therefore,
0 r u ( r ) d r = 0 s τ α ( r ) ( χ ( 0 ) + μ ( u ) ( 0 ) d r + 0 s 0 < r j < r τ α ( r r j ) J j ( u ( r j ) ) d r + 0 s 0 r g α 1 ( r ε ) 0 ε τ α ( ε t ) w ( t , u t , 0 u e ( t , η , u η ) d η ) d t d ε d r = 0 s τ α ( r ) ( χ ( 0 ) + μ ( u ) ( 0 ) d r + 0 < r j < r 0 s τ α ( r r j ) J j ( u ( r j ) ) d r + 0 r 0 r u r g α 1 ( r ε ) τ α ( ε t ) w ( t , u t , 0 u e ( t , η , u η ) d η ) d ε d t d r = 0 s τ α ( r ) ( χ ( 0 ) + μ ( u ) ( 0 ) d r + 0 < r j < r 0 s τ α ( r r j ) J j ( u ( r j ) ) d r + 0 s 0 r 0 r t g α 1 ( r t ε ) τ α ( ε ) w ( t , u t , 0 t e ( t , η , u η ) d η ) d ε d t d r = 0 s τ α ( r ) ( χ ( 0 ) + μ ( u ) ( 0 ) d r + 0 < r j < r 0 s τ α ( r r j ) J j ( u ( r j ) ) d r + 0 s 0 r S α ( r t ) w ( t , u t , 0 t e ( t , η , u η ) d η ) d t d r .
Hence, we have
u ( s ) = τ α ( s ) ( χ ( 0 ) + μ ( u ) ( 0 ) ) + 0 < s j < s τ α ( s s j ) J j ( u ( s j ) ) + 0 s S α ( s u ) w ( t , u t , 0 t e ( t , η , u η ) d η ) d t .
Definition 6.
A mild solution of System (1) is a function u : ( , T ] U if the following conditions are fulfilled:
  • u 0 = χ ( 0 ) + μ ( u ) ( 0 ) ,
  • u ( s ) P C ( I ; U ) , J j ( u s j ) = u ( s j + ) u ( s j ) , where j = 1 , 2 , , m ,
  • and
    u ( s ) = τ α ( s ) ( χ ( 0 ) + μ ( u ) ( 0 ) ) + 0 < s j < s τ α ( s s j ) J j ( u ( s j ) ) + 0 s S α ( s t ) w ( t , u u , 0 t e ( t , η , u η ) d η ) d t , where s I .
Remark 1.
The mild solution u ( s ) is unique if for any two mild solutions u 1 ( s ) and u 2 ( s ) we have u 1 ( s ) = u 2 ( s ) for all s [ 0 , T ] .

4. Main Results

We explore the existence, uniqueness, and HUS for the problem in (1) and outline several assumptions that are used in our analysis.
( G 0 )
There exists a constant M τ and M S such that τ α ( s ) M τ and S α ( s ) M S , s I .
(G1)      (1)
w : I × B × U U satisfies the subsequent axioms:
(i)
w ( s , . , . ) : B × U U is continuous for almost every s I .
(ii)
s w ( s , ϕ , u ) is measurable for each ( ϕ , u ) B × U .
(iii)
Given a mapping m w from I to [ 0 , ) and a continuous mapping u w which is non-decreasing from [ 0 , ) to [ 0 , ) , the following inequality holds for all s I and any ( ϕ , u ) B × U :
w ( s , ϕ , u ) m w ( s ) u w ( ϕ + u ) .
              (2)
w : I × B × U D ( A ) exhibits Lipschitz continuity. There exists a constant L w > 0 for which the following inequality holds for each ϕ 1 , ϕ 2 B and u 1 , u 2 in U :
w ( s 1 , ϕ 1 , u 1 ) w ( s 2 , ϕ 2 , u 2 ) L w ( | s 1 s 2 | + ϕ 1 ϕ 2 + u 1 u 2 ) .
(G2)      (1)
e : I × I × B U satisfies the following axioms:
(i)
e ( s , t , u ) : B U is continuous for each s , t in I .
(ii)
e ( . , . , u ) : I × I U is measurable for any given u in U .
(iii)
Given m e from I to [ 0 , + ) and a function u e that is non-decreasing from [ 0 , ) to [ 0 , ) , the following inequality holds for each t , s in I and every u in U :
e ( s , t , u ) c e m e ( s ) u e ( u B ) ,
where c e > 0 .
              (2)
e : I × I × B U is Lipschitz continuous. Provided that L e > 0 , the following inequality holds for each t , s belonging to I and for all u 1 , u 2 belonging to B :
e ( s , t , u 1 ) e ( s , t , u 2 ) L e ( | u 1 u 2 | ) .
(G3)      (1)
If μ is a continuous mapping from C ( I ; U ) to C ( [ r , 0 ] , U ) , it follows that for each u in C ( I ; U ) ,
μ ( u ) c μ u + d .
              (2)
μ : C ( I ; U ) D ( A ) ¯ is Lipschitz continuous. Given L μ > 0 , the following inequality holds for each u and ϕ in C ( I ; U ) :
μ ( u ) μ ( ϕ ) L μ u ϕ .
(G4)      (1)
J j : B U are completely continuous and there exist mappings x j from [ 0 , + ) to ( 0 , + ) , which is non-decreasing; thus, for any u belonging to B and j { 1 , 2 , , m } ,
J j ( u ) x j ( u B ) , lim inf ξ + x j ( ξ ) ξ = φ j < + .
              (2)
J j : B U are continuous and there exists L J j > 0 , for which the subsequent inequality holds for j = 1 , 2 , , m and for all u 1 , u 2 belonging to B :
J j ( u 1 ) J j ( u 2 ) L J j u 1 u 2 B .
Theorem 5.
If u 0 belongs to D ( A ) ¯ , then 0 is in ρ ( A ) and the conditions ( G 0 ) ( G 4 ) are satisfied; then, the mild solution to System (1) is unique in [ r , T ] given that
q 0 = M τ L μ + M τ j = 1 m L J j + T M S L w ( 1 + T ) < 1 .
Proof. 
Suppose u : [ r , k ] U to be a function such that its restriction u [ 0 , T ] to the interval [ 0 , T ] belongs to P C ( I , U ) . Consider the operator P defined on P C ( I , U ) by
( P u ) ( s ) = χ ( s ) + μ ( u ) ( s ) , s [ r , 0 ] τ α ( s ) ( χ ( 0 ) + μ ( u ( 0 ) ) ) + 0 < s j < s τ α ( s s j ) J j ( u ( s j ) ) + 0 s S α ( s r ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r , for s I .
For 0 s 1 < s 2 T , consider
( P u ) ( s 2 ) ( P u ) ( s 1 ) τ α ( s 2 ) τ α ( s 1 ) ( χ ( 0 ) + μ ( u ( 0 ) ) ) + 0 < s j < s τ α ( s 2 s j ) τ α ( s 1 s j ) J j ( u ( s j ) ) + 0 s 1 ϵ ( S α ( s 2 r ) S α ( s 1 r ) ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r + s 1 ϵ s 1 ( S α ( s 2 r ) S α ( s 1 r ) ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r + s 1 s 2 S α ( s 2 r ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r τ α ( s 2 ) τ α ( s 1 ) ( χ + c μ u + d ) + 0 < s j < s τ α ( s 2 s j ) τ α ( s 1 s j ) x j ( u B ) + 0 s 1 ϵ S α ( s 2 r ) S α ( s 1 r ) m w ( r ) u w ( u r B + 0 r e ( r , ε , u ε ) d ε ) d r + M S s 1 s 2 m w ( r ) u w ( u r B + 0 r e ( r , ε , u ε ) d ε ) d r τ α ( s 2 ) τ α ( s 1 ) ( χ + c μ u + d ) + 0 < s j < s τ α ( s 2 s j ) τ α ( s 1 s j ) x j ( u B ) + 0 s 1 ϵ S α ( s 2 r ) S α ( s 1 r ) m w ( r ) u w ( u r B + T c e m e ( r ) u e ( u ε ) ) d r + M S s 1 s 2 m w ( r ) u w ( u r B + T c e m e ( r ) u e ( u ε ) d r .
The right side approaches 0 as s 1 s 2 for sufficiently small ϵ , as the compactness of S α ( s ) ensures continuity in the uniform operator topology; therefore, P u P C ( I , U ) . For s ( s j , s j + 1 ] , j { 1 , 2 , , m } and u , w P C ( I , U ) , we have
( P u ) ( s ) ( P w ) ( s ) = τ α ( s ) μ ( u ( 0 ) ) μ ( w ( 0 ) ) + j = 1 m τ α ( s s j ) J j ( u ( s j ) ) J j ( w ( s j ) ) + 0 s S α ( s ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) w ( r , w r , 0 r e ( r , ε , w ε ) d ε ) d r M τ L μ u w P C + M τ j = 1 m L J j u w P C + T M S L w ( 1 + T ) u w P C = M τ L μ + M τ j = 1 m L J j + T M S L w ( 1 + T ) u w P C ,
as M τ L μ + M τ j = 1 m L J j + T M S L w ( 1 + T ) < 1 ; therefore, P is a contraction. By applying the Banach FP theorem, P possesses an FP . This FP corresponds to the unique mild solution of System (1). □
Theorem 6.
If the conditions ( G 0 ) ( G 4 ) are met, then there is at least one mild solution for System (1) if
M τ ( χ + d + x j ( r ) ) + M S 0 s m w ( r ) u w ( r + T c e m e ( r ) u e ( r ) ) d r + M τ c μ r r < 1
M τ L μ < 1 .
Proof. 
Consider the operator P on P C ( I , U ) by
( P u ) ( s ) = χ ( s ) + μ ( u ) ( s ) , s [ r , 0 ] τ α ( s ) ( χ ( 0 ) + μ ( u ( 0 ) ) ) + 0 < s j < s τ α ( s s j ) J j ( u ( s j ) ) + 0 s S α ( s r ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r , for s I .
We employ Theorem (3) in our proof, which is outlined in the subsequent steps.
Step 1. First, we demonstrate the continuity of P over the interval ( s i , s i + 1 ] . For this, let u n , u P C ( I , U ) such that u n u P C 0 as n . Consider
( P u n ) ( s ) ( P u ) ( s ) P C = τ α ( s ) μ ( u n ( 0 ) ) μ ( u ( 0 ) ) + j = 1 m τ α ( s s j ) J j ( u n ( s j ) ) J j ( u ( s j ) ) + 0 s S α ( s ) ( w ( r , u r n , 0 r e ( r , ε , u ε n ) d ε ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) ) d r M τ L μ u n u P C + M τ j = 1 m L J j u n u P C + T M S L w ( 1 + T ) u n u P C .
Applying the limit n , we obtain lim n ( P u n ) ( s ) ( P u ) ( s ) P C = 0 .
Step 2. We establish that bounded sets are mapped to bounded sets within P C ( I , U ) by P. For this, let u B r = { u P C ( I , U ) : u P C r } ,
P u ( s ) τ α ( s ) ( χ ( 0 ) + μ ( u ( 0 ) ) ) + 0 < s j < s τ α ( s s j ) J j ( u ( s j ) ) + 0 s S α ( s r ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r for s I M τ χ + c μ u + d + x j ( u B ) + M S 0 s m w ( r ) u w u r B + 0 r e ( r , ε , u ε ) d ε ) d r M τ χ + c μ r + d + x j ( r ) + M S 0 s m w ( r ) u w r + T c h m e ( r ) u e ( r ) d r .
Using (26), we obtain
P u ( s ) r M τ c μ r = r 1 ,
implying that bounded sets are mapped into bounded sets in P C ( I , U ) .
Step 3. We show that bounded sets are mapped into equicontinuous sets of functions on ( s i , s i + 1 ] by P . Letting u B r and s , s ( s i , s i + 1 ] such that s i < s < s s i + 1 , we obtain
( P u ) ( s ) ( P u ) ( s ) P C ( τ α ( s ) τ α ( s ) ) ( χ ( 0 ) + μ ( u ( 0 ) ) ) + j = 1 m τ α ( s s j ) τ α ( s s j ) J j ( u ( s j ) ) + 0 s ϵ ( S α ( s r ) S α ( s r ) ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r + s ϵ s ( S α ( s r ) S α ( s r ) ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r + s s S α ( s r ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r τ α ( s ) τ α ( s ) ( χ + c μ u + d ) + j = 1 m τ α ( s s j ) τ α ( s s j ) x j ( u ( s j ) B ) + 0 s ϵ ( S α ( s r ) S α ( s r ) ) m w ( r ) u w ( r + T c h m e ( r ) u e ( r ) ) d r + s ϵ s S α ( s r ) S α ( s r ) m w ( r ) u w ( r + T c h m e ( r ) u e ( r ) ) d r + s s S α ( s r ) m w ( r ) u w ( r + T c h m e ( r ) u e ( r ) ) d r .
As s s for sufficiently small ϵ , the right hand side approaches 0 regardless of u B r . This follows from Theorem (2) and the compactness of S α ( s ) , which ensures continuity in the uniform operator topology.
Step 4. Consider the operator ( P u ) ( s ) = ( T u ) ( s ) + ( R i u ) ( s ) , where
( T u ) ( s ) = τ α ( s ) ( χ ( 0 ) + μ ( u ( 0 ) ) ) and
( R i u ) ( s ) = j = 1 i τ α ( s s j ) J j ( u ( s j ) ) + 0 s S α ( s r ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r .
We prove that R i maps B r into a precompact set in U . We have to show that the set ϕ ( s ) = { ( R i u ) ( s ) : u B r } is precompact in U . Suppose that s [ 0 , T ] and ϵ belongs to the set of real numbers such that 0 < ϵ < s . We define an operator R i , ϵ for u B r by
R i , ϵ = j = 1 i τ α ( s s j ) J j ( u ( s j ) ) + 0 s ϵ S α ( s r ) w ( r , u r , 0 r e ( r , ε , u ε ) d ε ) d r .
The set ϕ ϵ ( s ) = { ( R i , ϵ u ) ( s ) : u B r } is precompact in U for each ϵ , where 0 < ϵ < s , as S α ( s ) is a compact operator. In addition, for 0 < ϵ < s we have
| ( R i u ) ( s ) ( R i , ϵ u ) ( s ) | M S s ϵ s m w ( r ) u w ( r + T c e m e ( r ) u e ( r ) ) d r .
Hence, there are precompact sets that can be made arbitrarily close to the set ϕ ( s ) , which is precompact in U , implying that ( R i B r ) ( s ) are relatively compact in U .
Step 5. We prove that ( R i u ) ( s ) is completely continuous and that ( T u ) ( s ) + ( R i w ) ( s ) B r for i = 1 , 2 , , m . The definitions of T and R i are provided in the previous step.
By following Steps 1 through 4 for ( R i u ) ( s ) , it is straightforward to show that ( R i u ) ( s ) is completely continuous.
From (18), we have
( P u ) ( s ) M τ ( χ + d + x j ( r ) ) + M S 0 s m w ( r ) u w ( r + T c e m e ( r ) u e ( r ) ) d r + M τ c μ r .
Because
M τ ( χ + d + x j ( r ) ) + M S 0 s m w ( r ) u w ( r + T c e m e ( r ) u e ( r ) ) d r + M τ c μ r r < 1 ,
we have ( P u ) ( s ) r . Accordingly if u , w B r , then T u + R i w B r .
Step 6. Here, we show that T is a contraction for s ( s i , s i + 1 ] and u , w P C ( I , U ) . Consider
( T u ) ( s ) ( T w ) ( s ) τ α μ ( u ) ( 0 ) μ ( w ) ( 0 ) M τ L μ u w P C .
From (27), we have M τ L μ < 1 ; hence, T is a contraction. From Theorem 3, we can deduce that System (1) has at least one mild solution over I .
To prove HUS for the given system, let us define the HUS first.
Definition 7.
System (1) is said to have HUS if there are positive constants ϵ and C in such a way that for any u ˜ mild solution in P C ( I , U ) satisfying
| c D 0 α u ( s ) A u ( s ) 0 s E ( s t ) u ( ε ) d t w ( s , u s , 0 s e ( s , t , u t ) d t ) | < ϵ a | Δ u ( s j ) J j ( u s j ) | < ϵ j
there exists a mild solution u P C ( I , U ) to (1) for which u ˜ ( s ) u ( s ) C ϵ .
Remark 2.
Every u ˜ P C ( I , U ) is regarded as a mild solution of (19) if and only if the following conditions are met:
(i) 
There exist ϕ belonging to P C and a sequence of functions ϕ j for which | ϕ ( s ) | ϵ a and | ϕ j ( s ) | ϵ j for s ( s i , s i + 1 ] with i = 0 , 1 , , m and j = 1 , 2 , , m .
(ii) 
The following equations hold:
D 0 α c u ( s ) = A u ( s ) + 0 s E ( s t ) u ( t ) d r + w ( s , u s , 0 s e ( s , t , u t ) d t ) + ϕ ( s ) , s ( s i , s i + 1 ] , i = 0 , 1 , , m , Δ u ( s j ) = J j ( u s j ) + ϕ j ( s ) , j = 1 , 2 , , m .
Theorem 7.
Assuming that ( G 0 ) , ( G 1 ) ( 2 ) , ( G 2 ) ( 2 ) , ( G 3 ) ( 2 ) , and ( G 4 ) ( 2 ) hold, System (1) exhibits HUS .
Proof. 
Let u ˜ satisfy the inequality
| c D 0 α u ( s ) A u ( s ) 0 s E ( s t ) u ( t ) d t w ( s , u t , 0 s e ( s , t , u t ) d r ) | < ϵ a | Δ u ( s j ) J j ( u s j ) | < ϵ j .
From (21),
D 0 α c u ˜ ( s ) = A u ˜ ( s ) + 0 s E ( s t ) u ˜ ( t ) d r + w ( s , u ˜ t , 0 s e ( s , t , u ˜ t ) d t ) + ϕ ( s ) Δ u ˜ ( s j ) = J j ( u ˜ s j ) + ϕ j ( s ) , j = 1 , 2 , , m
such that | ϕ ( s ) | < ϵ a and | ϕ j ( s ) | < ϵ j .
Upon solving, we obtain
u ˜ ( s ) = τ α ( s ) ( χ ( 0 ) + μ ( u ˜ ( 0 ) ) ) + 0 < s j < s τ α ( s s j ) J j ( u ˜ ( s j ) ) + 0 t S α ( s s j ) ( w ( r , u ˜ r , 0 r e ( r , t , u ˜ t ) d t ) ) d s + j = 1 m τ α ( s s j ) ϕ j ( s ) + 0 s S α ( s r ) ϕ ( r ) d r , when s I .
Furthermore,
u ˜ ( s ) u ( s ) = τ α ( s ) ( χ ( 0 ) + μ ( u ˜ ( 0 ) ) ) + 0 < s j < s τ α ( s s j ) J j ( u ˜ ( s j ) ) + 0 s S α ( s s j ) ( w ( r , u ˜ r , 0 r e ( r , t , u ˜ t ) d t ) ) d s + j = 1 m τ α ( s s j ) ϕ j ( s ) + 0 s S α ( s r ) ϕ ( r ) d r { τ α ( s ) ( χ ( 0 ) + μ ( u ( 0 ) ) ) + 0 < s j < s τ α ( s s j ) J j ( u ( s j ) ) + 0 s S α ( s s j ) ( w ( r , u r , 0 r e ( r , t , u t ) d t ) ) d ε } τ α ( s ) μ ( u ˜ ( 0 ) ) μ ( u ( 0 ) ) + j = 1 m τ α ( s s j ) J j ( u ˜ ( s j ) ) J j ( u ( s j ) ) + 0 s S α ( s s j ) ( w ( r , u ˜ r , 0 r e ( r , t , u ˜ t ) d t ) ) d s ( w ( r , u r , 0 r e ( r , t , u t ) d t ) ) d s + j = 1 m τ α ( s s j ) φ j ( s ) + 0 s S α ( s r ) φ ( r ) d r M τ L μ u ˜ ( 0 ) u ( 0 ) + M τ j = 1 m L J j u ˜ ( s j ) u ( s j ) + ( T M S L w ) ( u ˜ r u r + L e T u ˜ t u t ) ) + m ϵ j M τ + T ϵ a M S M τ L μ + M τ j = 1 m L J j + ( T M S L w ) ( 1 + L e T ) u ˜ ( s ) u ( s ) + m ϵ j M τ + T ϵ a M S m ϵ j M τ + T ϵ a M S 1 M τ L μ M τ j = 1 m L J j ( T M S L w ) ( 1 + L e T ) ,
which implies that
u ˜ ( s ) u ( s ) C ϵ ,
where
C = m M τ + T M S 1 M τ L μ M τ j = 1 m L J j ( T M S L w ) ( 1 + L e T ) and ϵ = max { ϵ a , ϵ j } , j = 1 , , m .
Thus, System (1) exhibits HUS . □
Remark 3.
The Hyers–Ulam stability of the impulsive fractional integro-differential system is established using the Caputo fractional derivative and Lipschitz-type assumptions. The Caputo derivative is suitable for fractional-order dynamics and captures the nonlocal nature of fractional derivatives. Formulating these assumptions for the system’s components was challenging due to the impulsive and fractional characteristics. This approach provides a novel way to study stability in such systems, where conventional methods may not apply.

5. Example

Example 1.
α r α v ( r , s ) = 2 s 2 v ( r , s ) + 0 s ( s r ) σ e ε ( s r ) 2 η 2 v ( s , η ) d η + D ( r , v ( r ϵ , s ) , 0 r θ ( r , v ( s , s ϕ ) ) d r ) for r [ 0 , r 1 ) ( r 1 , 1 ] , s [ 0 , π ] , ( r , s ) ( r j , s ) , v ( r , 0 ) = v ( r , π ) = 0 , r I , v ( 0 , s ) = v 0 ( s ) + q ( v ( ϵ , s ) ) , ϵ [ 0 , 1 ] , s [ 0 , π ] , Δ v ( r 1 , s ) = J 1 ( v ( r 1 , s ) ) , r 1 [ 0 , 1 ] , s [ 0 , π ] .
In this system, we have α r α = D 0 α c , where α ( 1 , 2 ) , σ , ε are constants. Assuming that V = L 2 ( [ 0 , π ] ) is a complete normed space and the space B = C 0 × L 2 ( g , V ) . A : D ( A ) V V defined by
A v = v with domain D ( A ) = { v V : v V , v ( 0 ) = v ( π ) = 0 }
is the infinitesimal generator of an analytic semigroup ( τ ( t ) ) t 0 on V implies that A is sectorial of type and that ( P 1 ) is satisfied. We consider an operator E ( r ) : D ( A ) V V defined as E ( r ) v = r σ e ε r v , v D ( A ) , r 0 . It is also clear that ( P 2 ) and ( P 3 ) are satisfied with b ( r ) = r σ e ε r and D = C 0 ( [ 0 , π ] ) . The space of infinitely differentiable function vanishes at s = 0 and s = π . Because ( P 1 ) ( P 3 ) are satisfied, an α-resolvent operator exists for System (1) when D = 0 . Let us choose f = e 2 r , where s < r < 0 for the phase space B , and let s 0 f ( r ) d r = 1 2 for s < r < 0 and
φ B = s 0 f ( r ) sup ζ [ r , 0 ] φ ( ζ ) L 2 d r .
Now, let θ : [ 0 , 1 ] × [ 0 , 1 ] × B L 2 ( [ 0 , π ] ) , D : [ 0 , 1 ] × B × L 2 ( [ 0 , π ] ) L 2 ( [ 0 , π ] ) be defined as
θ ( r , s , m ) = C 4 e C 5 r s + C 6 m ,
D ( r , m , n ) = ( C 1 ( r ) + C 2 ) ( m ) + C 3 n ,
J J ( r ) = C j r 2 ,
q ( v ( r , s ) ) = j = 1 2 ϵ j | v ( t j , s ) | , 0 < t 1 < t 2 < 1 , t 1 , t 2 r 1 .
Upon verification, the Lipschitz constants are L θ = C 4 e C 5 , L D = m a x ( | C 2 | , | T C 1 + C 2 | ) , L J = 2 B a j , where B is the bound of input values of J j , L q = j = 1 2 ϵ j , where C 1 , , C 6 and a j are constants. By comparison, we can see that D satisfies ( G 1 ) ( 1 ) ( i i i ) , θ satisfies ( G 2 ) ( 1 ) ( i i i ) , q satisfies ( G 3 ) ( 1 ) , and J J satisfies ( G 4 ) ( 1 ) .
After comparing, System (1) is an abstract structure of System (22).
Corollary 1.
System (1) possesses a unique mild solution provided that
M τ j = 1 2 ϵ j + 2 M τ j = 1 2 B C j + 2 M S L D < 1 .
Example 2.
D 0 α c u ( s , x ) = a ( x ) Δ u ( s , x ) + 0 s e b ( s t ) u ( t , x ) d t + γ ( s ) u s H 1 2 + κ ( s ) 0 s f ( t , u t ) d t , s [ 0 , T ] , s s j , u ( 0 , x ) = χ ( x ) + λ u L 2 2 , u s ( 0 , x ) = 0 , Δ u ( s j , x ) = δ j Ω u s j 2 d x , j { 1 , 2 , , m } .
Here, U = L 2 ( Ω ) , Ω R n is a bounded domain with a C 2 -boundary, B = C ( [ , T ] , L 2 ( Ω ) ) , a space of continuous L 2 -valued functions. A u ( s , x ) = a ( x ) Δ u ( s , x ) , D ( A ) = { u H 2 ( Ω ) : u = 0 on Ω } , and D ( A ) ¯ = L 2 ( Ω ) . E ( s ) v = e b s v , b > 0 ,   E ( s ) v L 2 e b s v L 2 , bounded and linear on L 2 ( Ω ) .
A is a closed linear operator, as A = a ( x ) Δ , and Δ is closed on D ( A ) . In addition, A is linear, as a ( x ) is a scalar function, a ( x ) is positive, A is sectorial and its spectrum lies in the left complex half-plane, and R ( λ , A ) L 0 | λ | , R ( λ , A ) = ( λ I d A ) 1 , λ Π 0 , α φ . Hence, P 1 is satisfied.
E ( s ) v L 2 e b s v L 2 , for v L 2 ( Ω ) . The Laplace transform of E ( s ) is provided by E ˜ ( λ ) = 0 e λ s E ( s ) d s analytic in λ, and D = H 0 1 ( Ω ) D satisfies D ¯ = D ( A ) , A E ˜ ( λ ) ( D ) D ( A ) , A E ˜ ( Λ ) u a ( x ) Δ E ˜ ( Λ ) u L 1 u . Hence, P 2 and P 3 are satisfied, implying that A generates an α-resolvent operator for System (24) when w = 0 .
Now, consider
w ( s , u s , 0 s e ( s , t , u t ) d t ) = γ ( s ) u s H 1 2 + κ ( s ) 0 s f ( t , u t ) d t ,
J j ( u s j ) = δ j Ω u s j 2 d x , δ j > 0 ,
μ ( u ) = λ u L 2 2 , λ > 0 .
After calculating the Lipschitz constants for w , J, and μ denoted by L w , L J , and L μ , respectively, which are provided by
L w = sup s I 2 | γ ( s ) | + | κ ( s ) | L f ,
L J = 2 δ j sup s j u s j = 2 δ j M j , where M j = sup u s j ,
L μ = 2 λ sup u u L 2 ,
System (24) can be expressed in abstract form as System (1).
Proposition 1.
If u 0 belongs to D ( A ) ¯ , then the mild solution to System (2) is unique in [ r , T ] given that
2 M τ λ sup u u L 2 + 2 M τ δ j sup s j u s j + T M S sup s I 2 | γ ( s ) | + | κ ( s ) | L f ( 1 + T ) < 1 .
Proposition 2.
There is at least one mild solution for System (24) if
M τ ( χ + λ u 2 + δ j r 2 ) + M S 0 s ( | γ ( s ) | + | κ ( r ) | ) u w ( r + T e b r r ) d r r < 1 ,
2 M τ λ sup u u L 2 < 1 .

6. Conclusions

In this article, we have explored the existence and uniqueness of a partial impulsive fractional integro-differential system with finite delay using the concept of the α -resolvent operator. By employing the α -resolvent operator, we derive a solution which serves as the basis for proving both the existence and uniqueness of the system’s solution. Using the Banach FP theorem, we prove the uniqueness of a mild solution, while Krasnoselskii’s FP theorem is employed to demonstrate the existence of a solution under specific conditions. Furthermore, we examine the HUS of the studied system.
The methodology developed in this work provides a general framework that can be extended to study other fractional integro-differential systems with different types of impulses, delays, and boundary conditions. This approach can also be applied to related problems in Banach spaces, offering a broader perspective on fractional dynamical systems and their stability properties.
Looking ahead, our upcoming research will focus on exploring the controllability of System (1) using the approach from [16,17,18,39] as well as on examining partial impulsive fractional stochastic and neutral integro-differential systems utilizing the α -resolvent operator [21,40]. Additionally, we will establish other stability concepts, such as Hyers–Ulam–Rassias and Mittag-Leffler–Ulam stability, using the Caputo derivative [24,41].

Author Contributions

Conceptualization, I.K., A.Z., I.-L.P., A.K.; methodology I.K., A.Z., I.-L.P., A.K.; formal analysis, I.K., A.Z., I.-L.P., A.K.; writing—original draft preparation I.K., A.Z.; writing—review and editing I.K., A.Z., I.-L.P., A.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Large Research Project under grant number RGP2/215/45.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/215/45.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Carli, L.R.; Marini, F.V. A Survey of Fractional Differential Equations in Image Processing. Comput. Mater. Contin. 2020, 63, 731–752. [Google Scholar]
  2. Khalil, H.M.; Mohan, N.K. Fractional Differential Equations for Control Theory: A Review of Applications and Advances. Int. J. Control. Autom. Syst. 2018, 16, 2274–2284. [Google Scholar]
  3. Oliveira, M.A.S.; da Silva, V.F.; Costa, J.L.D. Fractional Differential Equations in Viscoelasticity: Modeling and Analysis. Math. Methods Appl. Sci. 2016, 39, 4755–4769. [Google Scholar]
  4. Özköse, F. Long-Term Side effects: A Mathematical Modeling of COVID-19 and Stroke with Real Data. Fractal Fract. 2023, 7, 719. [Google Scholar] [CrossRef]
  5. Özköse, F.; Yilmaz, S.; Şenel, M.T.; Yavuz, M.; Townley, S.; Sarıkaya, M.D. A Mathematical Modeling of Patient-Derived Lung Cancer Stem Cells with Fractional-Order Derivative. Phys. Scr. 2024, 99, 115235. [Google Scholar] [CrossRef]
  6. Sene, N. Fundamental Results about the Fractional Integro-Differential Equation Described with Caputo Derivative. J. Funct. Spaces 2022, 2022, 9174488. [Google Scholar] [CrossRef]
  7. Shu, X.B.; Shu, L.; Xu, F. A New Study on the Mild Solution for Impulsive Fractional Evolution Equations. arXiv 2019, arXiv:1907.03088. [Google Scholar] [CrossRef]
  8. Ding, Y.; Li, Y. Finite-Approximate Controllability of Impulsive ψ- Caputo Fractional Evolution Equations with Nonlocal Conditions. Fract. Calc. Appl. Anal. 2023, 26, 1326–1358. [Google Scholar] [CrossRef]
  9. Qin, H.; Gu, Z.; Fu, Y.; Li, T. Existence of Mild Solutions and Controllability of Fractional Impulsive Integro-Differential Systems with Nonlocal Conditions. J. Funct. Spaces 2017, 2017, 6979571. [Google Scholar]
  10. Grimmer, R.C. Resolvent Operators for Integral Equations in a Banach Space. Am. Math. Soc. 1982, 273, 333–349. [Google Scholar] [CrossRef]
  11. Jeet, K.; Sukavanam, N. Approximate Controllability of Nonlocal and Impulsive Integro-Differential Equations using the Resolvent Operator Theory and an Approximating Technique. Appl. Math. Comput. 2020, 364, 124690. [Google Scholar] [CrossRef]
  12. Nisar, S.K.; Munusamy, K.; Ravichandran, C. Results on Existence of Solutions in Nonlocal Partial Functional Integro–differential Equations with Finite Delay in Nondense Domain. Alex. Eng. J. 2023, 73, 377–384. [Google Scholar] [CrossRef]
  13. Agarwal, S.P.; Santos, M.P.C.D.; Cuevas, C. Analytic Resolvent Operator and Existence Results for Fractional Integro-Differential Equations. J. Abstr. Differ. Equ. Appl. 2012, 2, 26–47. [Google Scholar]
  14. Chang, Y.K.; Li, W.S. Solvability for Impulsive Neutral Integro-Differential Equations with State-Dependent Delay via Fractional Operators. Optim. Theory Appl. 2010, 144, 445–459. [Google Scholar] [CrossRef]
  15. Murugesu, R.; Vijayakumar, V.; dos Santos, J.P.C. Existence of Mild Solutions for Nonlocal Cauchy Problem for Fractional Neutral Integro-Differential Equation with Unbounded Delay. Commun. Math. Anal. 2013, 14, 59–71. [Google Scholar]
  16. Vijayakumar, V.; Nisar, K.S.; Chalishajar, D.; Shukla, A.; Malik, M.; Alsaadi, A.; Aldosary, S.F. A note on approximate controllability of fractional semilinear integro-differential control systems via resolvent operators. Fractal Fract. 2022, 6, 73. [Google Scholar] [CrossRef]
  17. Vijayakumar, V.; Ravichandran, C.; Murugesu, R. Approximate Controllability for a Class of Fractional Neutral Integro-Differential Inclusions with State-Dependent Delay. Nonlinear Stud. 2013, 20, 511–530. [Google Scholar]
  18. Vijayakumar, V.; Ravichandran, C.; Murugesu, R.; Trujillo, J.J. Controllability Results for a Class of Fractional Semilinear Integro-Differential Inclusions via Resolvent Operator. Applied Math. Comp. 2014, 247, 152–161. [Google Scholar] [CrossRef]
  19. Alkhazzan, A. Baleano, D. Khan, H. Khan, A. Stability and Existence Results for a Class of Nonlinear Fractional Differential Equations with Singularity. Math. Methods Appl. Sci. 2018, 41, 9321–9334. [Google Scholar] [CrossRef]
  20. Khan, H.N.A.; Zada, A.; Khan, I. Analysis of a Coupled System of Ψ-Caputo Fractional Derivatives with Multipoint-Multistrip Integral Type Boundary Conditions. Qual. Theory Dyn. Syst. 2024, 23, 129. [Google Scholar] [CrossRef]
  21. Khalil, H.; Zada, A.; Rhaima, M.; Popa, I.L. Existence and Stability of Neutral Stochastic Impulsive and Delayed Integro-Differential System via Resolvent Operator. Fractal Fract. 2024, 8, 659. [Google Scholar] [CrossRef]
  22. Kucche, K.D.; Shikhare, P.U. Ulam-Hyers Stabilities for Nonlinear Volterra Delay Integro-Differential Equations via a Fixed Point Approach. J. Contmp. Math. Anal. 2019, 54, 276–287. [Google Scholar] [CrossRef]
  23. Refaai, D.A.; El-Sheikh, M.M.A.; Ismail, G.A.F.; Abdalla, B.; Abdeljawad, T. Hyers-Ulam Stability of Impulsive Volterra Integro-Differential Equations. Adv. Differ. Equations 2021, 2021, 477. [Google Scholar] [CrossRef]
  24. Sousa, J.V.D.C.; de Oliveira, E.C. Ulam-Hyers-Rassias Stabilities for a Class of Fractional Integro-Differential Equations. arXiv 2018, arXiv:1804.02600. [Google Scholar]
  25. Sevgin, S.; Sevli, H. Stability of a Nonlinear Volterra Integro-Differential Equations via a Fixed Point Approach. J. Nonlinear Sci. Appl. 2016, 9, 200–207. [Google Scholar] [CrossRef]
  26. Wang, J.; Zada, A.; Ali, W. Ulam’s Type Stability of First–Order Impulsive Differential Equations with Variable Delay in Quasi–Banach Spaces. Int. J. Nonlinear Sci. Numer. Simul. 2018, 19, 553–560. [Google Scholar] [CrossRef]
  27. Santos, M.P.C.D.; Cuevas, C.; Andrade, B.D. Existence Results for Fractional Equations with State Dependent-Delay. Adv. Differ. Equ. 2011, 2011, 642013. [Google Scholar] [CrossRef]
  28. Arjunan, M.M.; Mlaiki, N.; Kavitha, V.; Abdeljawad, T. On Fractional State-Dependent Delay Integro-Differential Systems Under the Mittag-Leffler Kernel in Banach space. AIMS Math. 2023, 8, 1384–1409. [Google Scholar] [CrossRef]
  29. Khan, H.N.A.; Zada, A.; Popa, I.L.; Mousa, S.B. The Impulsive Coupled Langevin Ψ-Caputo Fractional Problem with Slit-Strip-Generalized-Type Boundary Conditions. Fractal Fract. 2023, 7, 837. [Google Scholar] [CrossRef]
  30. Santos, M.P.C.D.; Arjunan, M.; Cuevas, C. Existence Results for Fractional Neutral Integro-Differential Equations with State-Dependent Delay. Comput. Math. Appl. 2011, 62, 1275–1283. [Google Scholar] [CrossRef]
  31. Harnandez, E.; Pierri, M.; Goncalves, G. Existence Results for an Impulsive Abstract Partial Differential Equation with State-Dependent Delay. Comp. Math. Appl. 2006, 52, 411–420. [Google Scholar] [CrossRef]
  32. Khan, I.; Zada, A. Analysis of Abstract Partial Impulsive Integro-Differential System with Delay via Integrated Resolvent Operator. Qual. Theory Dyn. Syst. 2024, 23, 110. [Google Scholar] [CrossRef]
  33. Agarwal, R.P.; de Andrade, B.; Siracusa, G. On Fractional Integro-Differential Equations with State Dependent Delay. Comput. Math. Appl. 2011, 62, 1143–1149. [Google Scholar] [CrossRef]
  34. Baleanu, D.; Jarad, F. Existence and Uniqueness Theorem for a Class of Delay Differential Equations with Left and Right Caputo Fractional Derivatives. J. Math. Phys. 2008, 49, 083507. [Google Scholar]
  35. Maraaba, T.A.; Jarad, F.; Baleanu, D. On the Existence and the Uniqueness Theorem for Fractional Differential Equations with Bounded Delay within Caputo Derivatives. Sci. China Ser. A Math. 2008, 51, 1775–1786. [Google Scholar] [CrossRef]
  36. Oka, H. Integrated Resolvent Operator. Integral Equations Appl. 1995, 7, 193–232. [Google Scholar] [CrossRef]
  37. Lakshmikantham, V.; Bainov, D.D.; Simeonov, P.S. Theory of Impulsive Differential Equations; World Seientific: Singapore, 1989; Volume 6. [Google Scholar]
  38. Samoilenka, A.M. Perestyunk, N.A. Impulsive Differential Equations; World Seientific: Singapore, 1995. [Google Scholar]
  39. Raja, M.M.; Vijayakumar, V.; Udhayakumar, R.; Zhou, Y. A New Approach on the Approximate Controllability of Fractional Differential Evolution Equations of Order 1< r< 2 in Hilbert spaces. Chaos Solitons Fractals 2020, 141, 110310. [Google Scholar]
  40. Raja, M.M.; Vijayakumar, V.; Veluvolu, K.C.; Shukla, A.; Nisar, K.S. Existence and Optimal Control Results for Caputo Fractional Delay Clark’s Subdifferential Inclusions of Order r∈(1,2) with Sectorial Operators. Optimal Control Applications and Methods 2024, 45, 1832–1850. [Google Scholar] [CrossRef]
  41. Sousa, J.V.D.C.; de Oliveira, E.C.; Rodrigues, F.G. Ulam-Hyers Stabilities of Fractional Functional Differential Equations. AIMS Math. 2020, 5, 1346–1358. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Khan, I.; Zada, A.; Popa, I.-L.; Kallekh, A. Analysis of an Abstract Delayed Fractional Integro-Differential System via the α-Resolvent Operator. Axioms 2025, 14, 111. https://doi.org/10.3390/axioms14020111

AMA Style

Khan I, Zada A, Popa I-L, Kallekh A. Analysis of an Abstract Delayed Fractional Integro-Differential System via the α-Resolvent Operator. Axioms. 2025; 14(2):111. https://doi.org/10.3390/axioms14020111

Chicago/Turabian Style

Khan, Ishfaq, Akbar Zada, Ioan-Lucian Popa, and Afef Kallekh. 2025. "Analysis of an Abstract Delayed Fractional Integro-Differential System via the α-Resolvent Operator" Axioms 14, no. 2: 111. https://doi.org/10.3390/axioms14020111

APA Style

Khan, I., Zada, A., Popa, I.-L., & Kallekh, A. (2025). Analysis of an Abstract Delayed Fractional Integro-Differential System via the α-Resolvent Operator. Axioms, 14(2), 111. https://doi.org/10.3390/axioms14020111

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