Skip to Content
  • Article
  • Open Access

24 April 2026

24 Pages

Existence, Stability, and Circular Interactions in m-Cyclic Coupled Systems of Sequential (k,ψ)-Hilfer and (k,ψ)-Caputo Type with Boundary Conditions

,
,
,
,
,
and
1
Department of Mathematics, College of Science, University of Ha’il, Ha’il 55473, Saudi Arabia
2
Department of Mathematics, College of Computer and Information Technology, Al-Razi University, Sana’a 72738, Yemen
3
Department of Mathematics, Faculty of Science, Islamic University of Madinah, Madinah 42351, Saudi Arabia
4
Department of Human Resources Management, College of Business, King Khalid University, Abha 61413, Saudi Arabia

Abstract

This paper examines an m-cyclic coupled system of sequential ( k , ψ ) -Hilfer and ( k , ψ ) -Caputo fractional differential equations with boundary conditions. The nonlinearities follow a cyclic pattern: for j = 1 , … , m − 1 , f j depends on x j and x j + 1 and f m depends on x m and x 1 , forming a closed loop of interactions. We convert the system into an equivalent integral equation and establish existence and uniqueness results using four fixed-point theorems: the Banach contraction principle, Schaefer’s theorem, Krasnosel’skiĭ’s theorem, and the Leray–Schauder alternative. A thorough Ulam–Hyers stability analysis is presented with explicit stability constants. Numerical examples illustrate the applicability of the theoretical findings.

1. Introduction

Fractional calculus has become an essential tool for modeling systems with memory and hereditary properties [1,2,3]. Among the various fractional operators, the Hilfer derivative [4] unifies the Riemann–Liouville and Caputo formulations through a parameter β ∈ [ 0 , 1 ] . Sousa and Oliveira [5] introduced the ψ -Hilfer derivative, and Kucche and Mali [6] further extended this to the ( k , ψ ) -framework, allowing kernel adaptation through the parameter k and the function ψ .
This paper investigates an m-cyclic coupled system of sequential fractional differential equations. The term sequential refers to the composition of two fractional derivatives: a Caputo derivative of order ζ j acting on x j followed by a Hilfer derivative of order θ j and type β j . The study of sequential fractional differential equations is motivated by the fundamental limitations of non-sequential formulations. As demonstrated by Vatsala et al. [7], linear Caputo fractional differential equations containing lower-order fractional derivatives cannot be solved in general, whereas sequential formulations admit explicit solutions via Laplace transform methods and Mittag-Leffler functions. This theoretical advantage, combined with the physical interpretation of sequential derivatives as hierarchical memory mechanisms, justifies the sequential structure adopted in the present work.
The combination of two fractional derivatives is not just a mathematical idea; it happens naturally in physical processes that involve two different memory mechanisms working at different scales. For example, in fractional viscoelasticity, the relationship between stress and strain can be represented by a Hilfer derivative acting on a Caputo derivative of the strain. This approach captures both the material’s historical dependence and the rate at which deformation occurs. Syam et al. [8] recently showed how to use sequential fractional derivatives in wave equations. This showed how well they can model complicated physical phenomena.
In recent years, the theory of sequential fractional differential equations has grown a lot. Ahmad and Nieto [9] commenced the investigation of sequential Caputo boundary value problems with three-point conditions, establishing fundamental existence results. Bai [10] expanded upon this research by investigating fractional multi-point boundary value problems at resonance. Zhang and Liu [11,12] further extended the resonance analysis to infinite-point and multi-point settings.
Erkan et al. [13,14] recently established comprehensive existence and uniqueness results for sequential ( k , ψ ) -Hilfer and ( k , ψ ) -Caputo equations with non-separated boundary conditions, thereby providing a rigorous framework for single-equation analysis. Furthermore, Salem and Almaghamsi [15] progressed this study by examining resonance phenomena in sequential fractional differential equations through coincidence degree theory, resulting in the identification of solvability conditions for three-point boundary value problems.
In parallel, the study of coupled fractional systems has attracted considerable attention. Henderson and Luca [16] investigated systems of Riemann–Liouville fractional differential equations with coupled boundary conditions. Su [17] extended such analysis to Caputo-type systems with integral boundary conditions. More recently, researchers have looked at coupled systems with different fractional operators: Baleanu et al. [18] examined coupled systems utilizing Caputo–Fabrizio derivatives, whereas Khan et al. [19] investigated sequential hybrid systems. Neama et al. [20] investigated m-cyclic coupled systems with Caputo–Fabrizio derivatives, underscoring the significance of cyclic coupling in multi-component systems, which is particularly pertinent to this study. Nevertheless, thus far, no research has integrated the adaptability of the ( k , ψ ) -operators—facilitating kernel adjustment via the parameters k and ψ —with the cyclic coupling architecture within a sequential context.
In a related direction, discrete fractional difference operators—particularly nabla fractional differences—have gained prominence for modeling memory effects in discrete-time systems. Abdeljawad [21] established the foundational properties of Riemann–Liouville and Caputo differences, while Goodrich [22] demonstrated their utility in boundary value problems exhibiting nonlocal memory. This discrete perspective complements our continuous ( k , ψ ) -framework, which offers tunable memory kernels through the parameters k and ψ , adaptable to both short-range and long-range memory in cyclic continuous systems.
This work fills an important gap by combining two important features: hierarchical memory through sequential ( k , ψ ) -operators and closed-loop interactions through cyclic coupling. This combination is very important because it shows how memory can move through a closed loop. Some examples are ring oscillators with fractional-order feedback, cyclic gene regulatory networks with multiple time scales, and circular supply chains with delayed information flow. Unlike the resonance problems studied in [15], our boundary conditions satisfy ς j 1 + ς j 2 ≠ 0 and ς j 3 + ς j 4 ≠ 0 , ensuring that the linear operator is invertible. The integral representation is well-defined without requiring coincidence degree theory. This setting allows us to apply standard fixed-point theorems directly.
The combination of sequential fractional derivatives with cyclic coupling is purposeful and not arbitrary. In physical systems where memory effects circulate through a closed loop, the appropriate mathematical description often involves hierarchical memory. In such systems, the current state of each component depends not only on its own past but also on the past rate of change of the next component. For example, consider a ring of m viscoelastic elements. In this setup, the stress in element j depends on the strain history of that same element (described by a Caputo derivative) and on the strain rate history of element j + 1 (which involves a Hilfer derivative acting on the Caputo derivative of element j). This yields precisely the sequential structure D θ , β ; ψ k H D ζ ; ψ k C x j with cyclic coupling f j ( x j , x j + 1 ) .
Although these systems have not been extensively studied in the literature, the mathematical structure outlined above offers a natural framework for modeling closed-loop systems with hierarchical memory. This work proposes this unified framework as a basis for future applications in cyclic physical systems.
Motivated by [13,14,20], we consider the following m-cycle coupled systems of sequential ( k , ψ ) -Hilfer and ( k , ψ ) -Caputo types:
D 0 + θ 1 , β 1 ; ψ 1 k 1 H D 0 + ζ 1 ; ψ 1 k 1 C x 1 ( ϱ ) = f 1 ( ϱ , x 1 ( ϱ ) , x 2 ( ϱ ) ) , ϱ ∈ [ 0 , b ] , D 0 + θ 2 , β 2 ; ψ 2 k 2 H D 0 + ζ 2 ; ψ 2 k 2 C x 2 ( ϱ ) = f 2 ( ϱ , x 2 ( ϱ ) , x 3 ( ϱ ) ) , ϱ ∈ [ 0 , b ] , ⋮ D 0 + θ m , β m ; ψ m k m H D 0 + ζ m ; ψ m k m C x m ( ϱ ) = f m ( ϱ , x m ( ϱ ) , x 1 ( ϱ ) ) , ϱ ∈ [ 0 , b ] ,
These are subject to the following boundary conditions:
ς 11 x 1 ( 0 ) + ς 12 x 1 ( b ) = 0 , ς 21 x 2 ( 0 ) + ς 22 x 2 ( b ) = 0 , ⋮ ς m 1 x m ( 0 ) + ς m 2 x m ( b ) = 0 ,
and
ς 1 , 3 D 0 + δ k 1 + ζ 1 − k 1 ; ψ 1 k 1 C x 1 ( 0 ) + ς 1 , 4 D 0 + δ k 1 + ζ 1 − k 1 ; ψ 1 k 1 C x 1 ( b ) = 0 , ς 2 , 3 D 0 + δ k 2 + ζ 2 − k 2 ; ψ 2 k 2 C x 2 ( 0 ) + ς 2 , 4 D 0 + δ k 2 + ζ 2 − k 2 ; ψ 2 k 2 C x 2 ( b ) = 0 , ⋮ ς m , 3 D 0 + δ k m + ζ m − k m ; ψ m k m C x m ( 0 ) + ς m , 4 D 0 + δ k m + ζ m − k m ; ψ m k m C x m ( b ) = 0 .
For each j = 1 , … , m , the parameters satisfy 0 < θ j , ζ j < 1 , 0 ≤ β j ≤ 1 , k j > 0 , with δ k j = θ j + β j ( k j − θ j ) and δ k j + ζ j − k j > 0 . The functions ψ j ∈ C 1 ( [ 0 , b ] , R ) are increasing with ψ j ′ ( ϱ ) ≠ 0 , and ς j , 1 , ς j , 2 , ς j , 3 , ς j , 4 ∈ R are constants. The nonlinearities f j : [ 0 , b ] × R 2 → R are continuous, and the cyclic convention x m + 1 = x 1 closes the loop.
The specific structure of this system—sequential ( k , ψ ) -fractional operators combined with cyclic coupling—presents three interconnected challenges that distinguish it from previously studied systems.
First, the integral representation must account for both the sequential nature and the cyclic coupling. The composition of fractional derivatives creates two layers of memory: the Caputo derivative keeps track of the history of x j , and the Hilfer derivative keeps track of the history of how quickly x j changes. Each component x j depends on x j and x j + 1 through the nonlinearity f j when cyclic coupling is used. The boundary conditions connect the values at 0 and b. Deriving an equivalent integral formulation requires carefully solving for the constants arising from the inversion formulas while respecting the cyclic structure.
Second, the contraction analysis reveals a factor of 2 that arises purely from the cyclic coupling. The contraction constant for standard coupled systems without cyclic coupling is ∑ L j Ω j . Because of the closed loop, each term | x j − y j | shows up twice in the sum, which gives us 2 ∑ L j Ω j . This factor shows how perturbations spread around the cycle, and it is a direct result of the cyclic geometry.
Third, the stability analysis must take into account how changes move through the cycle. The Ulam–Hyers stability constants from Section 5 explicitly include the cyclic coupling by using constants Ω j ( g ) , which give more weight to the effects of perturbations from each component and its neighbor.
The main contributions of this work are:
  • Derivation of an equivalent integral representation for the m-cyclic coupled sequential system.
  • Application of four fixed-point theorems (Banach contraction, Schaefer, Krasnosel’skiĭ, Leray–Schauder) to establish existence and uniqueness under different conditions on f j .
  • Explicit contraction conditions incorporating the cyclic coupling factor 2.
  • Explicit Ulam–Hyers stability constants that quantify perturbation propagation through the cycle.
The organization of the remaining sections is as follows: In Section 2, we recall essential definitions and establish the standing assumptions. Section 3 presents the derivation of the integral representation. The existence and uniqueness results, utilizing four fixed-point theorems, are discussed in Section 4. Section 5 analyzes Ulam–Hyers stability, providing explicit constants. Numerical examples are offered in Section 6. Finally, Section 7 concludes the discussion.

2. Preliminaries

2.1. Standing Assumptions

Throughout this paper, we assume the following:
(A1)
For each j = 1 , … , m , 0 < θ j , ζ j < 1 , 0 ≤ β j ≤ 1 , k j > 0 , δ k j = θ j + β j ( k j − θ j ) , and δ k j + ζ j − k j > 0 .
(A2)
ψ j ∈ C 1 ( [ 0 , b ] , R ) is strictly increasing with ψ j ′ ( ϱ ) > 0 for all ϱ ∈ [ 0 , b ] .
(A3)
ς j 1 + ς j 2 ≠ 0 and ς j 3 + ς j 4 ≠ 0 for each j.
(A4)
f j : [ 0 , b ] × R 2 → R are continuous.

2.2. Fractional Operators

Definition 1
([23]). For θ ∈ C with ℜ ( θ ) > 0 and k > 0 , the k-gamma function is
Γ k ( θ ) = ∫ 0 ∞ τ θ − 1 e − τ k k d τ ,
with Γ k ( θ + k ) = θ Γ k ( θ ) and Γ k ( θ ) = k θ k − 1 Γ θ k .
Definition 2
([24]). Let x : [ a , b ] → R be integrable. For increasing ψ with ψ ′ ( t ) > 0 , the ( k , ψ ) -Riemann–Liouville fractional integral of order θ > 0 is
I a + θ , ψ k x ( t ) = 1 k Γ k ( θ ) ∫ a t ψ ′ ( τ ) ( ψ ( t ) − ψ ( τ ) ) θ k − 1 x ( τ ) d τ , t > a .
Definition 3
([6]). Let θ > 0 , k > 0 , n = ⌈ θ / k ⌉ , and x ∈ C n ( [ a , b ] , R ) . The ( k , ψ ) -Caputo fractional derivative is
D a + θ , ψ k C x ( t ) = 1 k Γ k ( n k − θ ) ∫ a t ψ ′ ( τ ) ( ψ ( t ) − ψ ( τ ) ) n − θ k − 1 k ψ ′ ( τ ) d d τ n x ( τ ) d τ .
Definition 4
([6]). Let θ > 0 , k > 0 , 0 ≤ β ≤ 1 , n = ⌈ θ / k ⌉ , and x ∈ C n ( [ a , b ] , R ) . The ( k , ψ ) -Hilfer fractional derivative is
D a + θ , β ; ψ k H x ( t ) = I a + β ( n k − θ ) ; ψ k k ψ ′ ( t ) d d t n I a + ( 1 − β ) ( n k − θ ) ; ψ k x ( t ) .
Definition 5
(Solution). A vector x = ( x 1 , … , x m ) with x j ∈ C 1 ( [ 0 , b ] , R ) is called a solution of system (1) and (2) if it satisfies the equations for all ϱ ∈ [ 0 , b ] and the boundary conditions. The C 1 regularity ensures that the inner Caputo derivative is continuous, making the sequential derivative well-defined.
Remark 1.
While we assume x j ∈ C 1 ( [ 0 , b ] , R ) for simplicity, the results extend naturally to functions whose ( k , ψ ) -Caputo derivative exists almost everywhere and is integrable. This is the natural solution space for fractional differential equations of order 0 < ζ j < 1 (see, e.g., Kilbas et al. [1]). The C 1 assumption is convenient but not essential for the fixed-point analysis, which relies only on the integral representation (4) and the continuity of the Nemytskii operator.
Lemma 1
(Existence of Fractional Integrals and Derivatives). Let x ∈ C ( [ a , b ] , R ) and α > 0 . Then, the ( k , ψ ) -Riemann–Liouville fractional integral I a + α ; ψ k x ( t ) exists for all t ∈ [ a , b ] and defines a continuous function on [ a , b ] . Moreover, if x ∈ C 1 ( [ a , b ] , R ) , then the ( k , ψ ) -Caputo derivative D a + α ; ψ k C x ( t ) exists and is continuous.
Lemma 2
(Inversion for Caputo [6]). For x ∈ C n ( [ a , b ] , R ) with n = ⌈ θ / k ⌉ ,
I a + θ ; ψ k D a + θ , ψ k C x ( t ) = x ( t ) − ∑ j = 0 n − 1 ( ψ ( t ) − ψ ( a ) ) j Γ k ( j k + k ) k ψ ′ d d t j x t = a .
Lemma 3
(Inversion for Hilfer [6]). For x ∈ C n ( [ a , b ] , R ) with n = ⌈ θ / k ⌉ and δ k = θ + β ( n k − θ ) ,
I a + θ ; ψ k D a + θ , β ; ψ k H x ( t ) = x ( t ) − ∑ j = 1 n ( ψ ( t ) − ψ ( a ) ) δ k k − j Γ k ( δ k − j k + k ) k ψ ′ d d t n − j I a + n k − δ k ; ψ k x t = a .
Lemma 4
(Composition [6]). For θ 1 , θ 2 , k > 0 with θ 2 > θ 1 ,
D a + θ 1 ; ψ k C I a + θ 2 ; ψ k x ( t ) = I a + θ 2 − θ 1 ; ψ k x ( t ) .
Lemma 5
(Power Function [6]). For θ , k > 0 and μ ∈ R with μ / k > − 1 ,
D a + θ ; ψ k C ( ψ ( t ) − ψ ( a ) ) μ k = Γ k ( μ + k ) Γ k ( μ + k − θ ) ( ψ ( t ) − ψ ( a ) ) μ − θ k .

3. Integral Equation Representation

Let X = C ( [ 0 , b ] , R ) be the Banach space of continuous functions on [ 0 , b ] equipped with the norm ∥ x ∥ ∞ = sup ϱ ∈ [ 0 , b ] | x ( ϱ ) | . Let X = X m be the product Banach space with the norm ∥ x ∥ X = ∑ j = 1 m ∥ x j ∥ ∞ .
Lemma 6
(Integral Representation). Under the standing assumptions (Section 2.1), a vector ( x 1 , … , x m ) with x j ∈ C 1 ( [ 0 , b ] , R ) is a solution of system (1) and (2) if and only if, for each j = 1 , … , m and all ϱ ∈ [ 0 , b ] ,
x j ( ϱ ) = ς j 2 ς j 1 + ς j 2 G j ( b ) − G j ( ϱ ) I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) − ς j 2 ς j 1 + ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) + I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) ,
with x m + 1 = x 1 and
G j ( ϱ ) = ς j 4 ς j 3 + ς j 4 ( ψ j ( ϱ ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) .
Proof. 
Let ( x 1 , … , x m ) be a solution of system (1) and (2) in the sense of Definition 5. For each j = 1 , 2 , … , m , define auxiliary functions
u j ( ϱ ) = D 0 + ζ j ; ψ j k j C x j ( ϱ ) , ϱ ∈ [ 0 , b ] .
Since x j ∈ C 1 ( [ 0 , b ] , R ) , by Lemma 1, u j is continuous. Moreover, because f j is continuous, the mapping ϱ ↦ f j ( ϱ , x j ( ϱ ) , x j + 1 ( ϱ ) ) is a superposition (Nemytskii) operator [25]; such operators preserve continuity under Carathéodory conditions. Hence, all fractional integrals in the following derivation are well-defined.
Then, the differential equations in system (1) become
D 0 + θ j , β j ; ψ j k j H u j ( ϱ ) = f j ( ϱ , x j ( ϱ ) , x j + 1 ( ϱ ) ) , j = 1 , 2 , … , m .
Applying the ( k j , ψ j ) -Riemann–Liouville fractional integral of order θ j to both sides of (7) and using Lemma 3 with n = 1 (since 0 < θ j / k j < 1 ), we obtain
u j ( ϱ ) = I 0 + θ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) + c j 1 ( ψ j ( ϱ ) − ψ j ( 0 ) ) δ k j k j − 1 Γ k j ( δ k j ) , j = 1 , 2 , … , m ,
where c j 1 are constants given by
c j 1 = I 0 + k j − δ k j ; ψ j k j u j ϱ = 0 , j = 1 , 2 , … , m .
Note that Lemma 3 is applicable here because u j is continuous and the inversion formula holds for continuous functions under the given assumptions.
Since u j ( ϱ ) = D 0 + ζ j ; ψ j k j C x j ( ϱ ) , applying the ( k j , ψ j ) -Riemann–Liouville fractional integral of order ζ j to both sides and using Lemma 2 with n = 1 (since 0 < ζ j / k j < 1 ) yields
x j ( ϱ ) = I 0 + ζ j ; ψ j k j u j ( ϱ ) + d j 0 , j = 1 , 2 , … , m ,
where d j 0 = x j ( 0 ) are constants.
Substituting (8) into (10) and using Lemma 4 (the semigroup property), we obtain
x j ( ϱ ) = I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) + c j 1 I 0 + ζ j ; ψ j k j ( ψ j ( ϱ ) − ψ j ( 0 ) ) δ k j k j − 1 Γ k j ( δ k j ) + d j 0 .
Using Lemma 5 to compute the fractional integral of the power function, we have
I 0 + ζ j ; ψ j k j ( ψ j ( ϱ ) − ψ j ( 0 ) ) δ k j k j − 1 = Γ k j ( δ k j ) Γ k j ( δ k j + ζ j ) ( ψ j ( ϱ ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 .
Substituting (12) into (11) gives the general form
x j ( ϱ ) = I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) + c j 1 ( ψ j ( ϱ ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) + d j 0 .
Applying Lemmas 4 and 5 to (13), we compute
D 0 + δ k j + ζ j − k j ; ψ j k j C x j ( ϱ ) = I 0 + θ j + k j − δ k j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) + c j 1 ( ψ j ( ϱ ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 − δ k j + ζ j − k j k j Γ k j ( δ k j + ζ j − ( δ k j + ζ j − k j ) ) .
Simplifying the exponent explicitly can be described as follows:
δ k j + ζ j k j − 1 − δ k j + ζ j − k j k j = δ k j + ζ j − k j − ( δ k j + ζ j − k j ) k j = 0 .
Using Γ k j ( k j ) = 1 , we obtain the simplified form
D 0 + δ k j + ζ j − k j ; ψ j k j C x j ( ϱ ) = I 0 + θ j + k j − δ k j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) + c j 1 .
In particular, at the endpoints, we have
D 0 + δ k j + ζ j − k j ; ψ j k j C x j ( 0 ) = c j 1 ,
and
D 0 + δ k j + ζ j − k j ; ψ j k j C x j ( b ) = I 0 + θ j + k j − δ k j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) + c j 1 .
From (13), we evaluate x j at the endpoints:
x j ( 0 ) = d j 0 ,
and
x j ( b ) = I 0 + θ j + ζ j ; ψ j k j I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) + c j 1 ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) + d j 0 .
Now we substitute (17) and (16) into the boundary conditions of system (1). For the first boundary condition of the j-th component,
ς j 1 d j 0 + ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( b ) + c j 1 ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) + d j 0 = 0 .
For the second boundary condition of the j-th component,
ς j 3 c j 1 + ς j 4 I 0 + θ j + k j − δ k j ; ψ j k j f j ( b ) + c j 1 = 0 .
From (19), we solve for c j 1 :
( ς j 3 + ς j 4 ) c j 1 = − ς j 4 I 0 + θ j + k j − δ k j ; ψ j k j f j ( b ) ,
which gives
c j 1 = − ς j 4 ς j 3 + ς j 4 I 0 + θ j + k j − δ k j ; ψ j k j f j ( b ) .
Now substitute these into (18) to solve for d j 0 . First, rearrange (18):
( ς j 1 + ς j 2 ) d j 0 + ς j 2 c j 1 ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) = − ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( b ) .
Solving for d j 0 can be described as follows:
d j 0 = − ς j 2 ς j 1 + ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( b ) − ς j 2 ς j 1 + ς j 2 c j 1 ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) .
Substituting (20) into (22) yields
d j 0 = − ς j 2 ς j 1 + ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( b ) + ς j 2 ς j 1 + ς j 2 ς j 4 ς j 3 + ς j 4 ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) I 0 + θ j + k j − δ k j ; ψ j k j f j ( b ) .
Now substitute the expressions for c j 1 and d j 0 back into (13). For x j ( ϱ ) , we have
x j ( ϱ ) = I 0 + θ j + ζ j ; ψ j k j f j ( ϱ ) + c j 1 ( ψ j ( ϱ ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) + d j 0 .
Using (20) and (23) and introducing the notation G j ( ϱ ) as defined in (5), we obtain
x j ( ϱ ) = I 0 + θ j + ζ j ; ψ j k j f j ( ϱ ) − ς j 4 ς j 3 + ς j 4 ( ψ j ( ϱ ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) I 0 + θ j + k j − δ k j ; ψ j k j f j ( b ) − ς j 2 ς j 1 + ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( b ) + ς j 2 ς j 1 + ς j 2 ς j 4 ς j 3 + ς j 4 ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) I 0 + θ j + k j − δ k j ; ψ j k j f j ( b ) .
Rearranging terms and using G j ( ϱ ) and G j ( b ) , we can write
x j ( ϱ ) = ς j 2 ς j 1 + ς j 2 G j ( b ) − G j ( ϱ ) I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) − ς j 2 ς j 1 + ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) + I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) ,
with the cyclic convention x m + 1 = x 1 . This completes the proof. □
Remark 2.
In the special case where k j = 1 , ψ j ( ϱ ) = ϱ , β j = 1 for all j, the Hilfer derivative reduces to the Caputo derivative, and the integral representation simplifies to the form studied in [26]. Note that the order θ j − δ k j + k j in the fractional integral simplifies to θ j − ( θ j + β j ( k j − θ j ) ) + k j = k j − β j ( k j − θ j ) , which is positive under assumption (A1) since β j ( k j − θ j ) < k j .

4. Existence and Uniqueness Results

Based on Lemma 6, we define the operator T : X → X by
T ( x 1 , x 2 , … , x m ) ( ϱ ) = T 1 ( x 1 , x 2 , … , x m ) ( ϱ ) T 2 ( x 1 , x 2 , … , x m ) ( ϱ ) ⋮ T m ( x 1 , x 2 , … , x m ) ( ϱ ) ,
where, for each j = 1 , 2 , … , m ,
T j ( x 1 , … , x m ) ( ϱ ) = ς j 2 ς j 1 + ς j 2 G j ( b ) − G j ( ϱ ) I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) − ς j 2 ς j 1 + ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) + I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) ,
with x m + 1 = x 1 and G j ( ϱ ) defined as in (5).
We first establish some essential estimates that will be used throughout the fixed-point arguments.
Lemma 7
(Estimates for Fractional Integrals). For j = 1 , 2 , … , m , let f j : [ 0 , b ] × R 2 → R be continuous functions. Then, for any ( x 1 , … , x m ) ∈ X , the following estimates hold:
I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) ≤ ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) ∥ f j ( · , x j , x j + 1 ) ∥ ∞ ,
and
I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) ≤ ( ψ j ( b ) − ψ j ( 0 ) ) θ j − δ k j + k j k j Γ k j ( θ j − δ k j + 2 k j ) ∥ f j ( · , x j , x j + 1 ) ∥ ∞ ,
where ∥ f j ( · , x j , x j + 1 ) ∥ ∞ = sup ϱ ∈ [ 0 , b ] | f j ( ϱ , x j ( ϱ ) , x j + 1 ( ϱ ) ) | .
Proof. 
From the definition of the ( k , ψ ) -Riemann–Liouville fractional integral, we have
I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) ≤ 1 k j Γ k j ( θ j + ζ j ) ∫ 0 ϱ ψ j ′ ( τ ) ( ψ j ( ϱ ) − ψ j ( τ ) ) θ j + ζ j k j − 1 | f j ( τ , x j ( τ ) , x j + 1 ( τ ) ) | d τ ≤ ∥ f j ( · , x j , x j + 1 ) ∥ ∞ k j Γ k j ( θ j + ζ j ) ∫ 0 ϱ ψ j ′ ( τ ) ( ψ j ( ϱ ) − ψ j ( τ ) ) θ j + ζ j k j − 1 d τ = ∥ f j ( · , x j , x j + 1 ) ∥ ∞ k j Γ k j ( θ j + ζ j ) · k j θ j + ζ j ( ψ j ( ϱ ) − ψ j ( 0 ) ) θ j + ζ j k j = ( ψ j ( ϱ ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) ∥ f j ( · , x j , x j + 1 ) ∥ ∞ ,
since Γ k j ( θ j + ζ j + k j ) = ( θ j + ζ j ) Γ k j ( θ j + ζ j ) . The estimate (30) follows similarly by noting that the integral is evaluated at ϱ = b . □
Now we define the following constants that will appear in the contraction conditions for each j = 1 , 2 , … , m :
Ω j = | ς j 2 | | ς j 1 + ς j 2 | · | ς j 4 | | ς j 3 + ς j 4 | ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) + | ς j 4 | | ς j 3 + ς j 4 | ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) ( ψ j ( b ) − ψ j ( 0 ) ) θ j − δ k j + k j k j Γ k j ( θ j − δ k j + 2 k j ) + | ς j 2 | | ς j 1 + ς j 2 | ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) + ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) .
Remark 3
(Comparison of Fixed-Point Theorems). The four fixed-point theorems employed in Section 4 are not redundant; each applies under distinct conditions on the nonlinearities f j . The table below summarizes the key assumptions and scenarios where each theorem is uniquely applicable.
TheoremKey AssumptionWhen Others Fail
Banach (Theorem 1)Global Lipschitz with   2 ∑ L j Ω j < 1 Nonlinearities not Lipschitz; no uniqueness needed
Schaefer (Theorem 3)Uniform boundedness:   | f j | ≤ M j Lipschitz fails (e.g., oscillatory nonlinearities)
Krasnosel’skiĭ (Theorem 5)Split: contraction + compactFull T not a contraction, but part is
Leray–Schauder (Theorem 7)Sublinear growth:   | f j | ≤ ω j ( ϱ ) σ j ( | x j | + | x j + 1 | ) Boundedness fails (e.g., linear or power growth)
Examples 1–4 in Section 6 illustrate these distinctions explicitly, showing for each case why the chosen theorem is necessary and alternative theorems do not apply.

4.1. Uniqueness via the Banach Contraction Mapping Principle

Theorem 1
(Banach Contraction Principle). Assume that f j : [ 0 , b ] × R 2 → R for j = 1 , 2 , … , m are continuous functions satisfying the Lipschitz condition
| f j ( ϱ , u j , u j + 1 ) − f j ( ϱ , v j , v j + 1 ) | ≤ L j ( | u j − v j | + | u j + 1 − v j + 1 | ) , j = 1 , 2 , … , m ,
for all ϱ ∈ [ 0 , b ] and u j , u j + 1 , v j , v j + 1 ∈ R , where L j > 0 are constants, with the cyclic convention u m + 1 = u 1 , v m + 1 = v 1 . If
2 ∑ j = 1 m L j Ω j < 1 ,
where Ω j are defined by (31), then the m-cyclic coupled system (1) and (2) has a unique solution in X = ( C ( [ 0 , b ] , R ) ) m .
Proof. 
We show that the operator T defined by (28) is a contraction mapping on X . Let x = ( x 1 , … , x m ) , y = ( y 1 , … , y m ) ∈ X . For any ϱ ∈ [ 0 , b ] , we estimate for each j
| T j ( x ) ( ϱ ) − T j ( y ) ( ϱ ) | ≤ | ς j 2 | | ς j 1 + ς j 2 | | G j ( b ) | + | G j ( ϱ ) | × I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) − f j ( · , y j , y j + 1 ) ( b ) + | ς j 2 | | ς j 1 + ς j 2 | I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) − f j ( · , y j , y j + 1 ) ( b ) + I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) − f j ( · , y j , y j + 1 ) ( ϱ ) .
Note that | G j ( ϱ ) | ≤ | ς j 4 | | ς j 3 + ς j 4 | ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) for all ϱ ∈ [ 0 , b ] , and the same bound holds for | G j ( b ) | .
Using Lemma 7 and the Lipschitz condition (32), we obtain
I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) − f j ( · , y j , y j + 1 ) ( b ) ≤ ( ψ j ( b ) − ψ j ( 0 ) ) θ j − δ k j + k j k j Γ k j ( θ j − δ k j + 2 k j ) L j ∥ x j − y j ∥ ∞ + ∥ x j + 1 − y j + 1 ∥ ∞ .
Similarly,
I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) − f j ( · , y j , y j + 1 ) ( b ) ≤ ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) L j ∥ x j − y j ∥ ∞ + ∥ x j + 1 − y j + 1 ∥ ∞ ,
and
I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) − f j ( · , y j , y j + 1 ) ( ϱ ) ≤ ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) L j ∥ x j − y j ∥ ∞ + ∥ x j + 1 − y j + 1 ∥ ∞ .
Substituting these estimates into (34) yields
∥ T j ( x ) − T j ( y ) ∥ ∞ ≤ L j ∥ x j − y j ∥ ∞ + ∥ x j + 1 − y j + 1 ∥ ∞ Ω j .
Summing over all j = 1 , … , m and using the cyclic convention x m + 1 = x 1 , y m + 1 = y 1 , we obtain
∥ T ( x ) − T ( y ) ∥ X = ∑ j = 1 m ∥ T j ( x ) − T j ( y ) ∥ ∞ ≤ ∑ j = 1 m L j Ω j ∥ x j − y j ∥ ∞ + ∥ x j + 1 − y j + 1 ∥ ∞ = ∑ j = 1 m L j Ω j ∥ x j − y j ∥ ∞ + ∑ j = 1 m L j Ω j ∥ x j + 1 − y j + 1 ∥ ∞ = ∑ j = 1 m L j Ω j ∥ x j − y j ∥ ∞ + ∑ j = 1 m L j − 1 Ω j − 1 ∥ x j − y j ∥ ∞ ≤ 2 ∑ j = 1 m L j Ω j ∥ x − y ∥ X ,
where we define L 0 = L m and Ω 0 = Ω m for the cyclic indexing. Note that the factor 2 arises from the cyclic coupling; since each index j appears both as j and j − 1 in the sum, we obtain the worst-case bound 2 ∑ L j Ω j . Condition (33) with 2 ∑ j = 1 m L j Ω j < 1 implies that T is a contraction mapping on X . By the Banach contraction principle, T has a unique fixed point, which is the unique solution of system (1) and (2). □

4.2. Existence via Schaefer’s Fixed-Point Theorem

We now present an existence result using Schaefer’s fixed-point theorem, which requires a boundedness condition on the nonlinearities.
Theorem 2
(Schaefer’s Fixed-Point Theorem [27]). Let X be a Banach space and T : X → X a completely continuous operator. If the set
E = { x ∈ X : x = ς T ( x ) for some ς ∈ [ 0 , 1 ] }
is bounded, then T has a fixed point.
First, we establish the complete continuity of the operator T in C ( [ 0 , b ] , R ) .
Lemma 8
(Complete Continuity). Under the standing assumptions, the operator T : X → X defined by (28) is completely continuous.
Proof. 
Let { x n } n ∈ N = { ( x 1 n , x 2 n , … , x m n ) } be a sequence in X such that x n → x in X . Since each f j is continuous, we have f j ( ϱ , x j n ( ϱ ) , x j + 1 , n ( ϱ ) ) → f j ( ϱ , x j ( ϱ ) , x j + 1 ( ϱ ) ) pointwise for each ϱ ∈ [ 0 , b ] . Moreover, the convergence is uniform due to the continuity of f j on compact sets. Then, using the estimates from Lemma 7, we obtain
∥ T j ( x n ) − T j ( x ) ∥ ∞ ≤ Ω j ∥ f j ( · , x j n , x j + 1 , n ) − f j ( · , x j , x j + 1 ) ∥ ∞ → 0 as n → ∞ .
Thus, T is continuous.
Now let B R = { x ∈ X : ∥ x ∥ X ≤ R } be a bounded set. For any x ∈ B R , by the continuity of f j , there exists a constant M j ( R ) > 0 such that ∥ f j ( · , x j , x j + 1 ) ∥ ∞ ≤ M j ( R ) . Then, using Lemma 7, we have
∥ T j ( x ) ∥ ∞ ≤ M j ( R ) Ω j .
Hence, ∥ T ( x ) ∥ X ≤ ∑ j = 1 m M j ( R ) Ω j , so T ( B R ) is bounded.
To show equicontinuity, let ϱ 1 , ϱ 2 ∈ [ 0 , b ] with ϱ 1 < ϱ 2 . For any x ∈ B R , we have
| T j ( x ) ( ϱ 2 ) − T j ( x ) ( ϱ 1 ) | ≤ | G j ( ϱ 2 ) − G j ( ϱ 1 ) | I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) + I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ 2 ) − I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ 1 ) .
The first term tends to 0 uniformly as ϱ 2 → ϱ 1 by the continuity of G j . For the second term, using the definition of the fractional integral, one can show it is bounded by M j ( R ) times ( ψ j ( ϱ 2 ) − ψ j ( ϱ 1 ) ) θ j + ζ j k j up to a constant factor, which tends to 0 uniformly as ϱ 2 → ϱ 1 . Hence, T ( B R ) is equicontinuous. By the Arzelà–Ascoli theorem, T ( B R ) is relatively compact. Therefore, T is completely continuous. □
Theorem 3
(Existence via Schaefer’s Theorem). Assume that f j : [ 0 , b ] × R 2 → R for j = 1 , 2 , … , m are continuous functions satisfying the growth condition
| f j ( ϱ , x j , x j + 1 ) | ≤ M j , j = 1 , 2 , … , m ,
for all ϱ ∈ [ 0 , b ] and x j , x j + 1 ∈ R , where M j > 0 are constants. Then, the m-cyclic coupled system (1) and (2) has at least one solution in X .
Proof. 
Consider the set
E = { x ∈ X : x = ς T ( x ) for some ς ∈ [ 0 , 1 ] } .
For any x ∈ E , we have x = ς T ( x ) for some ς ∈ [ 0 , 1 ] . Then, for each ϱ ∈ [ 0 , b ] and each j, using Lemma 7 and the boundedness condition (40), we obtain
∥ x j ∥ ∞ ≤ M j Ω j .
Therefore,
∥ x ∥ X = ∑ j = 1 m ∥ x j ∥ ∞ ≤ ∑ j = 1 m M j Ω j .
Thus, the set E is bounded. By Lemma 8, T is completely continuous. Applying Schaefer’s fixed-point theorem, T has a fixed point, which is a solution of system (1) and (2). □

4.3. Existence via Krasnosel’skiĭ’s Fixed-Point Theorem

We now present an existence result using Krasnosel’skiĭ’s fixed-point theorem, which is useful when the operator can be split into a contraction and a compact part.
Theorem 4
(Krasnosel’skiĭ’s Fixed-Point Theorem [28]). Let B be a nonempty, closed, convex, and bounded subset of a Banach space X. Let T 1 , T 2 : B → X be two operators such that the following apply:
  • T 1 ( x ) + T 2 ( y ) ∈ B for all x , y ∈ B ;
  • T 1 is continuous and compact;
  • T 2 is a contraction mapping.
Then, there exists z ∈ B such that z = T 1 ( z ) + T 2 ( z ) .
We split the operator T into two parts T = T ( 1 ) + T ( 2 ) , where, for each j = 1 , … , m ,
T j ( 1 ) ( x ) ( ϱ ) = I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) ,
and
T j ( 2 ) ( x ) ( ϱ ) = ς j 2 ς j 1 + ς j 2 G j ( b ) − G j ( ϱ ) I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) − ς j 2 ς j 1 + ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) .
Define the constants for the contractive part for each j:
Ω j ( 2 ) = | ς j 2 | | ς j 1 + ς j 2 | · | ς j 4 | | ς j 3 + ς j 4 | ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) + | ς j 4 | | ς j 3 + ς j 4 | ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) ( ψ j ( b ) − ψ j ( 0 ) ) θ j − δ k j + k j k j Γ k j ( θ j − δ k j + 2 k j ) + | ς j 2 | | ς j 1 + ς j 2 | ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) .
Theorem 5
(Existence via Krasnosel’skiĭ). Assume that f j : [ 0 , b ] × R 2 → R for j = 1 , 2 , … , m are continuous functions satisfying the following:
1. 
There exist constants L j > 0 such that condition (32) holds;
2. 
There exist continuous functions g j : [ 0 , b ] → R + such that
| f j ( ϱ , x j , x j + 1 ) | ≤ g j ( ϱ ) , j = 1 , 2 , … , m ,
for all ϱ ∈ [ 0 , b ] and x j , x j + 1 ∈ R .
If
2 ∑ j = 1 m L j Ω j ( 2 ) < 1 ,
where Ω j ( 2 ) are defined by (43), then the m-cyclic coupled system (1) and (2) has at least one solution in X .
Proof. 
Define the set B R = { x ∈ X : ∥ x ∥ X ≤ R } , with R chosen such that
R ≥ ∑ j = 1 m ∥ g j ∥ ∞ ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) + ∥ g j ∥ ∞ Ω j ( 2 ) .
Step 1: T ( 1 ) ( x ) + T ( 2 ) ( y ) ∈ B R for all x , y ∈ B R . For any x , y ∈ B R , using Lemma 7 and condition (44), we have for each j
∥ T j ( 1 ) ( x ) + T j ( 2 ) ( y ) ∥ ∞ ≤ ∥ T j ( 1 ) ( x ) ∥ ∞ + ∥ T j ( 2 ) ( y ) ∥ ∞ ≤ ∥ g j ∥ ∞ ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) + ∥ g j ∥ ∞ Ω j ( 2 ) .
Summing over j, we obtain ∥ T ( 1 ) ( x ) + T ( 2 ) ( y ) ∥ X ≤ R , so T ( 1 ) ( x ) + T ( 2 ) ( y ) ∈ B R .
Step 2: T ( 1 ) is continuous and compact. The continuity of T ( 1 ) follows from the continuity of f j and the fractional integral operators. For compactness, let { x n } be a sequence in B R . Using Lemma 7, we have
∥ T ( 1 ) ( x n ) ∥ X ≤ ∑ j = 1 m ∥ g j ∥ ∞ ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) ,
so T ( 1 ) ( B R ) is bounded. Moreover, using similar estimates to those in Lemma 8, T ( 1 ) ( B R ) is equicontinuous. By the Arzelà–Ascoli theorem, T ( 1 ) ( B R ) is relatively compact. Thus, T ( 1 ) is compact.
Step 3: T ( 2 ) is a contraction. For any x , y ∈ B R , using the Lipschitz condition (32) and Lemma 7, we obtain for each j
∥ T j ( 2 ) ( x ) − T j ( 2 ) ( y ) ∥ ∞ ≤ L j Ω j ( 2 ) ∥ x j − y j ∥ ∞ + ∥ x j + 1 − y j + 1 ∥ ∞ .
Summing over j and using the cyclic convention, we have
∥ T ( 2 ) ( x ) − T ( 2 ) ( y ) ∥ X ≤ ∑ j = 1 m L j Ω j ( 2 ) ∥ x j − y j ∥ ∞ + ∥ x j + 1 − y j + 1 ∥ ∞ = ∑ j = 1 m ( L j − 1 Ω j − 1 ( 2 ) + L j Ω j ( 2 ) ) ∥ x j − y j ∥ ∞ ≤ 2 ∑ j = 1 m L j Ω j ( 2 ) ∥ x − y ∥ X .
Condition (45) with 2 ∑ j = 1 m L j Ω j ( 2 ) < 1 implies that T ( 2 ) is a contraction mapping. All conditions of Krasnosel’skiĭ’s fixed-point theorem are satisfied, so there exists a fixed point x ∈ B R such that x = T ( 1 ) ( x ) + T ( 2 ) ( x ) = T ( x ) . Hence, system (1) and (2) has at least one solution in X . □

4.4. Existence via the Leray–Schauder Alternative

Finally, we present an existence result using the Leray–Schauder nonlinear alternative, which allows for more general growth conditions.
Theorem 6
(Leray–Schauder Nonlinear Alternative). Let X be a Banach space, C ⊂ X a convex closed set, and U ⊂ C an open set with 0 ∈ U . If T : U ¯ → C is a completely continuous operator, then either of the following applies:
  • T has a fixed point in U ¯ ;
  • There exist u ∈ ∂ U and ς ∈ ( 0 , 1 ) such that u = ς T ( u ) .
Theorem 7
(Existence via the Leray–Schauder Alternative). Assume that f j : [ 0 , b ] × R 2 → R for j = 1 , 2 , … , m are continuous functions satisfying the growth condition
| f j ( ϱ , x j , x j + 1 ) | ≤ ω j ( ϱ ) σ j ( | x j | + | x j + 1 | ) , j = 1 , 2 , … , m ,
for all ϱ ∈ [ 0 , b ] and x j , x j + 1 ∈ R , where ω j ∈ C ( [ 0 , b ] , R + ) and σ j : R + → R + are continuous nondecreasing functions. If there exists a constant K > 0 such that
K ∑ j = 1 m ∥ ω j ∥ ∞ σ j ( K ) Ω j > 1 ,
where ∥ ω j ∥ ∞ = sup ϱ ∈ [ 0 , b ] ω j ( ϱ ) and Ω j are defined by (31), then the m-cyclic coupled system (1) and (2) has at least one solution in X with ∥ x ∥ X < K .
Proof. 
Consider the open set U = { x ∈ X : ∥ x ∥ X < K } . Let x ∈ U ¯ be such that x = ς T ( x ) for some ς ∈ ( 0 , 1 ) . Then, for each ϱ ∈ [ 0 , b ] and each j, using Lemma 7 and the growth condition (46), we have
∥ x j ∥ ∞ ≤ | ς j 2 | | ς j 1 + ς j 2 | | G j ( b ) | + | G j ( ϱ ) | I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) + | ς j 2 | | ς j 1 + ς j 2 | I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) + I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) ≤ ∥ ω j ∥ ∞ σ j ( ∥ x j ∥ ∞ + ∥ x j + 1 ∥ ∞ ) Ω j ≤ ∥ ω j ∥ ∞ σ j ( ∥ x ∥ X ) Ω j .
Summing over j, we obtain
∥ x ∥ X ≤ ∑ j = 1 m ∥ ω j ∥ ∞ σ j ( ∥ x ∥ X ) Ω j .
If ∥ x ∥ X = K , then, from (49), we obtain
K ≤ ∑ j = 1 m ∥ ω j ∥ ∞ σ j ( K ) Ω j ,
which contradicts condition (47). Hence, there is no x ∈ ∂ U such that x = ς T ( x ) for any ς ∈ ( 0 , 1 ) .
By Lemma 8, T : U ¯ → X is completely continuous. Applying the Leray–Schauder nonlinear alternative, T has a fixed point in U ¯ , which is a solution of system (1) and (2) with ∥ x ∥ X < K . □
Remark 4.
The four fixed-point theorems presented in this section provide a comprehensive toolkit for establishing the existence and uniqueness of solutions for the m-cyclic coupled system (1) and (2) under various conditions on the nonlinearities f j .

5. Ulam–Hyers Stability Analysis

In this section, we investigate the Ulam–Hyers stability of the m-cyclic coupled system (1) and (2).
Definition 6
(Ulam–Hyers Stability). The m-cyclic coupled system (1) and (2) is said to be Ulam–Hyers stable if there exists a constant C = ( C 1 , C 2 , … , C m ) > 0 such that, for any ε = ( ε 1 , ε 2 , … , ε m ) > 0 and for any functions y = ( y 1 , y 2 , … , y m ) ∈ X satisfying the inequalities
D 0 + θ j , β j ; ψ j k j H D 0 + ζ j ; ψ j k j C y j ( ϱ ) − f j ( ϱ , y j ( ϱ ) , y j + 1 ( ϱ ) ) ≤ ε j , j = 1 , 2 , … , m , | ς j 1 y j ( 0 ) + ς j 2 y j ( b ) | ≤ ε j , j = 1 , 2 , … , m , | ς j 3 D 0 + δ k j + ζ j − k j ; ψ j k j C y j ( 0 ) + ς j 4 D 0 + δ k j + ζ j − k j ; ψ j k j C y j ( b ) | ≤ ε j , j = 1 , 2 , … , m ,
with y m + 1 = y 1 , there exists an exact solution x = ( x 1 , … , x m ) ∈ X of system (1) and (2) such that
∥ y j − x j ∥ ∞ ≤ C j max { ε 1 , ε 2 , … , ε m } , j = 1 , 2 , … , m .
If the constants C j depend on ε 1 , … , ε m in such a way that C j → 0 as ε j → 0 , then the system is said to be generalized Ulam–Hyers stable.
Lemma 9
(Stability Estimates). Under the assumptions of Lemma 6, the following estimates hold for the operator T defined in (28):
∥ T j ( x ) ∥ ∞ ≤ Ω j ∥ f j ( · , x j , x j + 1 ) ∥ ∞ , j = 1 , 2 , … , m ,
where Ω j are defined by (31).
Proof. 
The proof follows directly from the estimates in Lemma 7 and the definition of T. □

5.1. Ulam–Hyers Stability Under Lipschitz Conditions

We now prove the Ulam–Hyers stability of system (1) and (2) under the Lipschitz conditions assumed in Theorem 1.
Theorem 8
(Ulam–Hyers Stability). Assume that the conditions of Theorem 1 hold, i.e., f j satisfy the Lipschitz condition (32) with constants L j , and
2 ∑ j = 1 m L j Ω j < 1 ,
where Ω j are defined by (31). Then, the m-cyclic coupled system (1) and (2) is Ulam–Hyers stable in X .
Proof. 
Let ε = ( ε 1 , … , ε m ) > 0 and let y = ( y 1 , … , y m ) ∈ X be an approximate solution satisfying inequalities (50). Define functions g j ∈ C ( [ 0 , b ] , R ) by
g j ( ϱ ) = D 0 + θ j , β j ; ψ j k j H D 0 + ζ j ; ψ j k j C y j ( ϱ ) − f j ( ϱ , y j ( ϱ ) , y j + 1 ( ϱ ) ) , j = 1 , … , m ,
so that ∥ g j ∥ ∞ ≤ ε j for all ϱ ∈ [ 0 , b ] and j.
Now consider the linear FDEs
D 0 + θ j , β j ; ψ j k j H D 0 + ζ j ; ψ j k j C y j ( ϱ ) = f j ( ϱ , y j ( ϱ ) , y j + 1 ( ϱ ) ) + g j ( ϱ ) , j = 1 , … , m ,
with the boundary conditions
ς j 1 y j ( 0 ) + ς j 2 y j ( b ) = r j 1 , ς j 3 D 0 + δ k j + ζ j − k j ; ψ j k j C y j ( 0 ) + ς j 4 D 0 + δ k j + ζ j − k j ; ψ j k j C y j ( b ) = r j 2 , j = 1 , … , m ,
where ∥ r j 1 ∥ ∞ , ∥ r j 2 ∥ ∞ ≤ ε j by the approximate boundary conditions in (50).
Using Lemma 6 for the linear system with source terms f j + g j , we obtain the integral representation for y j :
y j ( ϱ ) = ς j 2 ς j 1 + ς j 2 G j ( b ) − G j ( ϱ ) I 0 + θ j − δ k j + k j ; ψ j k j ( f j + g j ) ( b ) − ς j 2 ς j 1 + ς j 2 I 0 + θ j + ζ j ; ψ j k j ( f j + g j ) ( b ) + I 0 + θ j + ζ j ; ψ j k j ( f j + g j ) ( ϱ ) + Φ j ( ϱ ) ,
where Φ j ( ϱ ) are the contributions from the boundary perturbations r j 1 , r j 2 . By linearity and the boundedness of the Green’s function, there exist constants K j > 0 such that
∥ Φ j ∥ ∞ ≤ K j max { ε 1 , … , ε m } , ∀ ϱ ∈ [ 0 , b ] , j = 1 , … , m .
Now let x be the exact solution of system (1) and (2) corresponding to the same boundary conditions as y j but with zero perturbations. From Lemma 6, we have
x j ( ϱ ) = ς j 2 ς j 1 + ς j 2 G j ( b ) − G j ( ϱ ) I 0 + θ j − δ k j + k j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) − ς j 2 ς j 1 + ς j 2 I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( b ) + I 0 + θ j + ζ j ; ψ j k j f j ( · , x j , x j + 1 ) ( ϱ ) .
Subtracting (59) from (57) and taking supremum norms, we obtain for each j
∥ y j − x j ∥ ∞ ≤ L j Ω j ( ∥ y j − x j ∥ ∞ + ∥ y j + 1 − x j + 1 ∥ ∞ ) + ε j Ω j ( g ) + K j max { ε 1 , … , ε m } ,
where
Ω j ( g ) = | ς j 2 | | ς j 1 + ς j 2 | | ς j 4 | | ς j 3 + ς j 4 | ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) + | ς j 4 | | ς j 3 + ς j 4 | ( ψ j ( b ) − ψ j ( 0 ) ) δ k j + ζ j k j − 1 Γ k j ( δ k j + ζ j ) ( ψ j ( b ) − ψ j ( 0 ) ) θ j − δ k j + k j k j Γ k j ( θ j − δ k j + 2 k j ) + | ς j 2 | | ς j 1 + ς j 2 | ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) + ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) .
Summing these inequalities over j = 1 , … , m and using the cyclic convention y m + 1 = y 1 , x m + 1 = x 1 , we obtain
∑ j = 1 m ∥ y j − x j ∥ ∞ ≤ ∑ j = 1 m L j Ω j ( ∥ y j − x j ∥ ∞ + ∥ y j + 1 − x j + 1 ∥ ∞ ) + ∑ j = 1 m ε j Ω j ( g ) + ∑ j = 1 m K j max { ε 1 , … , ε m } = ∑ j = 1 m ( L j − 1 Ω j − 1 + L j Ω j ) ∥ y j − x j ∥ ∞ + ∑ j = 1 m ε j Ω j ( g ) + ∑ j = 1 m K j max { ε 1 , … , ε m } .
Let Δ = 2 ∑ j = 1 m L j Ω j . By condition (53), we have Δ < 1 . Rearranging (62) gives
( 1 − Δ ) ∑ j = 1 m ∥ y j − x j ∥ ∞ ≤ ∑ j = 1 m ε j Ω j ( g ) + ∑ j = 1 m K j max { ε 1 , … , ε m } .
Therefore,
∑ j = 1 m ∥ y j − x j ∥ ∞ ≤ ∑ j = 1 m Ω j ( g ) + ∑ j = 1 m K j 1 − Δ max { ε 1 , … , ε m } .
From this, we can deduce the individual estimates
∥ y j − x j ∥ ∞ ≤ C j max { ε 1 , … , ε m } , j = 1 , … , m ,
with
C j = ∑ j = 1 m Ω j ( g ) + ∑ j = 1 m K j 1 − Δ , j = 1 , … , m .
Thus, the m-cyclic coupled system (1) and (2) is Ulam–Hyers stable in X . □
Corollary 1
(Generalized Ulam–Hyers Stability). Under the same assumptions as in Theorem 8, the m-cyclic coupled system (1) and (2) is also generalized Ulam–Hyers stable.

5.2. Ulam–Hyers–Rassias Stability

We now consider a more general form of stability, known as Ulam–Hyers–Rassias stability, where the constant ε is replaced by a function.
Definition 7
(Ulam–Hyers–Rassias Stability). The m-cyclic coupled system (1) and (2) is said to be Ulam–Hyers–Rassias stable with respect to φ ∈ C ( [ 0 , b ] , R + ) if there exists a constant C φ > 0 such that, for any ε > 0 and for any functions y ∈ X satisfying
D 0 + θ j , β j ; ψ j k j H D 0 + ζ j ; ψ j k j C y j ( ϱ ) − f j ( ϱ , y j ( ϱ ) , y j + 1 ( ϱ ) ) ≤ ε φ ( ϱ ) , j = 1 , … , m , | ς j 1 y j ( 0 ) + ς j 2 y j ( b ) | ≤ ε φ ( 0 ) , j = 1 , … , m , | ς j 3 D 0 + δ k j + ζ j − k j ; ψ j k j C y j ( 0 ) + ς j 4 D 0 + δ k j + ζ j − k j ; ψ j k j C y j ( b ) | ≤ ε φ ( 0 ) , j = 1 , … , m ,
there exists an exact solution x ∈ X of system (1) and (2) such that
∥ y j − x j ∥ ∞ ≤ C φ ε ∥ φ ∥ ∞ , j = 1 , … , m .
Theorem 9
(Ulam–Hyers–Rassias Stability). Assume that the conditions of Theorem 8 hold. Let φ ∈ C ( [ 0 , b ] , R + ) be a nondecreasing function. Then, the m-cyclic coupled system (1) and (2) is Ulam–Hyers–Rassias stable with respect to φ.
Proof. 
The proof follows a structure similar to that of Theorem 8, but with the constants ε j replaced by ε φ ( ϱ ) and ε φ ( 0 ) . Using Lemma 7 and the properties of the fractional integral, we obtain estimates of the form
I 0 + θ j + ζ j ; ψ j k j ( ε φ ) ( ϱ ) ∞ ≤ ε ∥ φ ∥ ∞ ( ψ j ( b ) − ψ j ( 0 ) ) θ j + ζ j k j Γ k j ( θ j + ζ j + k j ) .
Proceeding as in the proof of Theorem 8, we arrive at
∑ j = 1 m ∥ y j − x j ∥ ∞ ≤ C φ ε ∥ φ ∥ ∞ ,
with
C φ = ∑ j = 1 m Ω ˜ j ( g ) + ∑ j = 1 m K ˜ j 1 − Δ ,
where Ω ˜ j ( g ) = Ω j ( g ) ∥ φ ∥ ∞ and K ˜ j = K j ∥ φ ∥ ∞ are the modified constants accounting for the function φ . This establishes Ulam–Hyers–Rassias stability. □

6. Numerical Examples

Example 1
(Uniqueness via the Banach Contraction Principle). Consider a 2-cyclic coupled system ( m = 2 ) on [ 0 , 1 ] with the same parameters as in the original Example 1.
Define the nonlinearities:
f 1 ( ϱ , x 1 , x 2 ) = 0.05 1 + ϱ 2 sin ( x 1 ) + 0.03 2 + ϱ cos ( x 2 ) , f 2 ( ϱ , x 2 , x 1 ) = 0.04 x 2 .
Here, f 1 is bounded, but f 2 is unbounded (linear).
-
f 1 is Lipschitz with constant 0.05 + 0.03 = 0.08 .
-
f 2 is Lipschitz with constant 0.04 .
Thus, L 1 = 0.08 , L 2 = 0.04 . With Ω 1 = Ω 2 ≈ 0.3892 , we have
2 ∑ j = 1 2 L j Ω j = 2 ( 0.08 + 0.04 ) × 0.3892 = 0.0934 < 1 .
Hence, the Banach theorem applies, guaranteeing a unique solution.
  • Why other theorems are not needed (or fail):
TheoremApplicable?Reason
Banach✓ YesContraction condition holds; gives uniqueness.
SchaeferNo f 2 ( x 2 ) = 0.04 x 2  is unbounded, so condition (40) fails.
Krasnosel’skiĭ✓ YesCould be applied, but Banach is stronger (uniqueness).
Leray–Schauder✓ YesCould be applied, but Banach is stronger (uniqueness).
The Banach theorem is the only one among the four that guarantees uniqueness, and it is essential here because Schaefer fails due to the unboundedness of f 2 .
Example 2
(Existence via Schaefer’s Fixed-Point Theorem). Consider a 3-cyclic coupled system ( m = 3 ) on [ 0 , 2 ] with the same parameters as in the original Example 2.
Define the nonlinearities:
f 1 ( ϱ , x 1 , x 2 ) = 2 1 + ϱ 2 · x 1 1 + | x 1 | , f 2 ( ϱ , x 2 , x 3 ) = e − ϱ · x 2 1 + | x 2 | , f 3 ( ϱ , x 3 , x 1 ) = ϱ 1 + ϱ · arctan ( x 3 2 + x 1 2 ) .
Each | f j | is uniformly bounded: | f 1 | ≤ 2 , | f 2 | ≤ 1 , | f 3 | ≤ π / 2 . Thus, Schaefer’s theorem (Theorem 3) applies, guaranteeing at least one solution.
  • Why the Banach theorem fails: The function x 1 1 + | x 1 | has Lipschitz constant 1 (maximum slope at x 1 = 0 ). To make the Banach theorem fail, we replace x 1 1 + | x 1 | with 2.5 · x 1 1 + | x 1 | , which has Lipschitz constant 2.5 and remains bounded. Then, with L 1 = 2.5 , L 2 = 1 , L 3 ≈ 0.5 , and Ω j ≈ 0.1892 , we obtain
    2 ∑ j = 1 3 L j Ω j ≈ 2 ( 2.5 + 1 + 0.5 ) × 0.1892 = 2 × 4 × 0.1892 = 1.5136 > 1 ,
    so the Banach contraction condition fails.
  • Comparison of theorems:
TheoremApplicable?Reason
BanachNoContraction condition fails ( 2 ∑ L j Ω j > 1 ).
Schaefer✓ YesUniformly bounded; directly applicable.
Krasnosel’skiĭPossibleSplitting not natural; Schaefer is simpler.
Leray–Schauder✓ YesWould also work, but Schaefer is more direct.
Schaefer is chosen because the nonlinearities are bounded but not contractive.
Example 3
(Existence via Krasnosel’skiĭ’s Fixed-Point Theorem). Consider a 2-cyclic coupled system on [ 0 , 1 ] with k j = 1 (classical derivatives) and the same parameters as in the original Example 3.
Split the nonlinearities into contractive and compact parts:
f 1 ( ϱ , x 1 , x 2 ) = ϱ 1 + ϱ cos ( x 2 ) ︸ compact + 2 x 1 ︸ contractive , f 2 ( ϱ , x 2 , x 1 ) = e − ϱ x 2 2 1 + x 2 2 ︸ compact + 1 25 arctan ( x 1 ) ︸ contractive .
Contractive Lipschitz constants L 1 ( 2 ) = 2 , L 2 ( 2 ) = 0.04 . Computing Ω 1 ( 2 ) = Ω 2 ( 2 ) ≈ 0.1845 yields
2 ∑ j = 1 2 L j Ω j ( 2 ) = 2 ( 2 × 0.1845 + 0.04 × 0.1845 ) = 0.753 < 1 .
By Theorem 5, at least one solution exists.
  • Comparison of theorems:
TheoremApplicable?Reason
BanachNoFull  f 1  has Lipschitz constant  ≈ 2.5  , so  2 ∑ L j Ω j > 1 .
SchaeferNo f 1  contains  2 x 1  , which is unbounded.
Krasnosel’skiĭ✓ YesContractive part ( 2 x 1 ) handled by  T ( 2 ) ; compact part bounded.
Leray–SchauderPossibleRequires a priori bound; Krasnosel’skiĭ is more natural here.
Krasnosel’skiĭ is chosen because the operator naturally splits into a contraction ( 2 x 1 ) and a compact part.
Example 4
(Existence via the Leray–Schauder Alternative). Consider a 2-cyclic coupled system on [ 0 , 1 ] with the same parameters as in the original Example 4.
Define nonlinearities with sublinear growth:
f 1 ( ϱ , x 1 , x 2 ) = 1 + ϱ 2 1 + ϱ · | x 1 | 0.5 + | x 2 | 0.5 1 + | x 1 | 0.5 + | x 2 | 0.5 , f 2 ( ϱ , x 2 , x 1 ) = e − ϱ 1 + ϱ · ln ( 1 + | x 2 | + | x 1 | ) .
Here, ∥ ω 1 ∥ ∞ = ∥ ω 2 ∥ ∞ ≈ 1 , σ 1 ( t ) = t / ( 1 + t ) , σ 2 ( t ) = ln ( 1 + t ) . For K = 10 , σ 1 ( 10 ) = 0.76 , σ 2 ( 10 ) ≈ 2.398 , and
K ∑ j = 1 2 ∥ ω j ∥ ∞ σ j ( K ) Ω j = 10 0.3102 × 3.158 ≈ 10.21 > 1 .
By Theorem 7, at least one solution exists with ∥ x ∥ X < 10 .
  • Comparison of theorems:
TheoremApplicable?Reason
BanachNo | x 1 | 0.5  is not Lipschitz near 0 (derivative  → ∞ ).
SchaeferNo f 2  contains  ln ( 1 + | x 2 | + | x 1 | )  , which is unbounded.
Krasnosel’skiĭNoNo natural splitting into small contraction + compact part.
Leray–Schauder✓ YesSublinear growth condition holds; a priori bound exists.
Leray–Schauder is the only theorem among the four that applies here.

7. Conclusions

In this paper, we have investigated an m-cyclic coupled system of sequential ( k , ψ ) -Hilfer and ( k , ψ ) -Caputo fractional differential equations with boundary conditions. The cyclic coupling structure f j ( ϱ , x j , x j + 1 ) with x m + 1 = x 1 provides a natural framework for modeling circular interactions and feedback loops, while the boundary conditions for each component are non-separated but decoupled between components. We used several fixed-point theorems, including the Banach contraction principle, Schaefer’s fixed-point theorem, Krasnosel’skiĭ’s fixed-point theorem, and the Leray–Schauder alternative, to establish sufficient conditions for existence and uniqueness. A comprehensive Ulam–Hyers stability analysis was conducted, and explicit stability constants were derived. The relevance of the theoretical results was illustrated through numerical examples.
Future Research Directions:
  • Fractional differential inclusions: Extending the analysis to multi-valued maps F j ( ϱ , x j , x j + 1 ) with convex and nonconvex values.
  • Applications: Implementing the theoretical framework for real-world problems such as feedback control systems with fractional controllers and cyclic population dynamics with memory effects.

Author Contributions

Conceptualization, F.G., A.D., A.A. (Amer Alsulami), and L.M.A.; formal analysis, M.A., A.D., A.A. (Alawia Adam), and A.A. (Amer Alsulami); investigation, F.G., A.D., and L.M.A.; methodology, M.A. and K.A.; project administration, K.A.; validation, F.G., A.D., A.A. (Alawia Adam), and A.A. (Amer Alsulami); visualization, F.G., A.A. (Alawia Adam), and L.M.A.; writing—original draft, M.A., K.A., A.A. (Alawia Adam), A.A. (Amer Alsulami), and L.M.A.; writing—review and editing, M.A. and K.A. All authors have read and agreed to the published version of the manuscript.

Funding

The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through the Large Research Project under grant number RGP2/220/46.

Data Availability Statement

The original data presented in this study are included in the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Kilbas, A.A.; Srivastava, H.M.; Trujillo, J.J. Theory and Applications of Fractional Differential Equations; North-Holland Mathematics Studies, 204; Elsevier: Amsterdam, The Netherlands, 2006. [Google Scholar]
  2. Miller, K.S.; Ross, B. An Introduction to the Fractional Calculus and Fractional Differential Equations; John Wiley & Sons: New York, NY, USA, 1993. [Google Scholar]
  3. Diethelm, K. The Analysis of Fractional Differential Equations; Lecture Notes in Mathematics; Springer: Berlin/Heidelberg, Germany, 2010; Volume 2004. [Google Scholar]
  4. Hilfer, R. (Ed.) Applications of Fractional Calculus in Physics; World Scientific: Singapore, 2000. [Google Scholar]
  5. Sousa, J.V.D.C.; De Oliveira, E.C. On the ψ-Hilfer fractional derivative. Commun. Nonlinear Sci. Numer. Simul. 2018, 60, 72–91. [Google Scholar] [CrossRef] [Scilit]
  6. Kucche, K.D.; Mali, A.D. On the nonlinear (k,ψ)-Hilfer fractional differential equations. Chaos Solitons Fractals 2021, 152, 111335. [Google Scholar] [CrossRef] [Scilit]
  7. Vatsala, A.S.; Pageni, G.; Vijesh, V.A. Analysis of sequential Caputo fractional differential equations versus non-sequential Caputo fractional differential equations with applications. Foundations 2022, 2, 1129–1142. [Google Scholar] [CrossRef] [Scilit]
  8. Syam, S.M.; Siri, Z.; Kasmani, R.M.; Yildirim, K. A New Method for Solving Sequential Fractional Wave Equations. J. Math. 2023, 2023, 5888010. [Google Scholar] [CrossRef] [Scilit]
  9. Ahmad, B.; Nieto, J.J. Sequential fractional differential equations with three-point boundary conditions. Comput. Math. Appl. 2012, 64, 3046–3052. [Google Scholar] [CrossRef] [Scilit]
  10. Bai, Z. On solutions of some fractional m-point boundary value problems at resonance. Electron. J. Qual. Theory Differ. Equ. 2010, 37, 1–15. [Google Scholar] [CrossRef] [Scilit]
  11. Zhang, W.; Liu, W. Existence of solutions for fractional differential equations with infinite point boundary conditions at resonance. Bound. Value Probl. 2018, 2018, 36. [Google Scholar] [CrossRef] [Scilit]
  12. Zhang, W.; Liu, W.B. Existence of solutions for fractional multi-point boundary value problems at resonance with three-dimensional kernels. Adv. Differ. Equ. 2018, 2018, 15. [Google Scholar] [CrossRef] [Scilit]
  13. Erkan, F.; Hamal, N.A.; Ntouyas, S.K.; Tariboon, J. Existence and uniqueness analysis for (k,ψ)-Hilfer and (k,ψ)-Caputo sequential fractional differential equations and inclusions with non-separated boundary conditions. Fractal Fract. 2025, 9, 437. [Google Scholar] [CrossRef] [Scilit]
  14. Erkan, F.; Hamal, N.A.; Ntouyas, S.K.; Tariboon, J.; Wongsantisuk, P. Coupled System of (k,ψ)-Hilfer and (k,ψ)-Caputo Sequential Fractional Differential Equations with Non-Separated Boundary Conditions. Axioms 2025, 14, 685. [Google Scholar] [CrossRef] [Scilit]
  15. Salem, A.; Almaghamsi, L. Solvability of Sequential Fractional Differential Equation at Resonance. Mathematics 2023, 11, 1044. [Google Scholar] [CrossRef] [Scilit]
  16. Henderson, J.; Luca, R. Existence of positive solutions for a system of fractional boundary value problems. Appl. Math. Comput. 2013, 224, 224–234. [Google Scholar]
  17. Su, X. Boundary value problem for a coupled system of nonlinear fractional differential equations. Appl. Math. Lett. 2015, 47, 34–39. [Google Scholar] [CrossRef] [Scilit]
  18. Baleanu, D.; Jajarmi, A.; Hajipour, M. A new formulation of the fractional optimal control problems involving Mittag-Leffler nonsingular kernel. J. Optim. Theory Appl. 2018, 177, 35–56. [Google Scholar] [CrossRef] [Scilit]
  19. Khan, A.; Khan, Z.A.; Abdeljawad, T.; Khan, H. Analytical analysis of fractional-order sequential hybrid system with numerical application. Adv. Contin. Discret. Models 2022, 2022, 12. [Google Scholar] [CrossRef] [Scilit]
  20. Neama, H.; Tedjani, A.H.; Arshad, A.; Khaled, A.; Alqarni, F.A.; Ria, E.; Messaoudi, M. Mathematical Analysis of Higher-Order m-Coupled System Differential Equations with Caputo–Fabrizio Derivatives. Symmetry 2026, 18, 379. [Google Scholar]
  21. Mohammed, P.O.; Abdeljawad, T.; Hamasalh, F.K. On Riemann—Liouville and Caputo fractional forward difference monotonicity analysis. Mathematics 2021, 11, 1303. [Google Scholar] [CrossRef] [Scilit]
  22. Goodrich, C. An analysis of nonlocal difference equations with finite convolution coefficients. J. Fixed Point Theory Appl. 2022, 24, 1. [Google Scholar] [CrossRef] [Scilit]
  23. Díaz, R.; Pariguan, E. On hypergeometric functions and Pochhammer k-symbol. Divulg. Mat. 2007, 15, 179–192. [Google Scholar]
  24. Kwun, Y.C.; Farid, G.; Nazeer, W.; Ullah, S.; Kang, S.M. Generalized Riemann-Liouville k-fractional integrals associated with Ostrowski type inequalities and error bounds of Hadamard inequalities. IEEE Access 2018, 6, 64946–64953. [Google Scholar] [CrossRef] [Scilit]
  25. Appell, J.; Zabrejko, P.P. Nonlinear Superposition Operators; Cambridge University Press: Cambridge, UK, 1990. [Google Scholar]
  26. Ahmed, I.; Ntouyas, S.K.; Ahmad, B.; Tariboon, J. Separated boundary value problems via quantum Hilfer and Caputo operators. AIMS Math. 2024, 9, 19473–19494. [Google Scholar] [CrossRef] [Scilit]
  27. Schaefer, H. Uber die methode sukzessive. approximationen. Jber. Deutch. Math. Verein. 1957, 59, 131–140. [Google Scholar]
  28. Krasnosel’skiĭ, M.A. Two remarks on the method of successive approximations. Uspekhi Mat. Nauk 1955, 10, 123–127. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.