1. Introduction
In contemporary research, fractional differential equations have garnered significant attention due to their extensive applications across various fields of science and engineering, including fluid dynamics, signal and image processing, fractal theory, control systems, electromagnetic theory, data fitting, optics, potential theory, biology, chemistry, diffusion, and viscoelasticity [
1,
2,
3].
Among the various fractional operator families, quantum calculus—based on the q-difference operator—occupies a distinctive position because of its natural appearance in models where the underlying process unfolds over a geometric, rather than uniform, time scale. Such settings arise in signal processing with non-uniform sampling, in population dynamics with geometrically distributed stage durations, in quantum mechanics with deformed commutation algebras, and in thermodynamics of systems obeying non-extensive statistics. The parameter controls the degree of non-uniformity: as , the q-difference and q-integral operators converge to their classical Newtonian counterparts, recovering the standard Riemann–Liouville and Caputo operators. For q strictly less than 1, the operators evaluate the function at a geometric sequence of points, endowing them with an intrinsically non-local and discrete-scale character that is not captured by any purely continuous fractional calculus.
Boundary value problems involving fractional-order operators have attracted considerable interest among researchers. Fractional derivatives and integrals introduce memory effects into the system, making the representation of physical phenomena more realistic compared to classical methods. Several scholarly works have been examined to establish the existence, uniqueness, and stability of solutions for various types of fractional boundary value problems (FBVPs) using different fractional derivatives; see the recent literature [
4,
5,
6,
7,
8,
9,
10].
Impulsive differential equations exhibit abrupt state transitions at discrete moments and are widely utilized in various disciplines, including physics, dynamics, engineering, pharmacology, and biotechnology. These equations are broadly divided into two categories: instantaneous impulses, which cause abrupt changes within an infinitesimally short period, and non-instantaneous impulses, where the transition starts at a defined moment and continues over a finite time span; see the monographs [
11,
12,
13] and related papers [
14,
15,
16,
17,
18].
In [
19], the concepts of
-derivative and
-integral were formally developed, together with their fundamental essential characteristics being thoroughly examined. Subsequently, ref. [
20] presented new ideas in fractional quantum calculus, including the introduction of a novel
-shifting operator. Additionally, Almeida [
21] extended the definition of the Caputo fractional derivative by considering the Caputo fractional derivative of a function with respect to another function
and examined several pertinent properties of fractional calculus. The utility of this modernized definition of the fractional derivative is that greater accuracy in modeling can be attained by selecting an appropriate function
. For instance, refer to the study of fractional differential equations by using
-fractional derivatives as discussed in [
22,
23,
24,
25].
Recently, Niyoom et al. [
26] investigated impulsive boundary value problems involving mixed fractional quantum and Hadamard derivatives. Their results established existence and uniqueness for systems combining
q-difference operators with Hadamard-type fractional derivatives. The present work extends this line of research in two essential directions. First, we replace the Hadamard derivative with the more general
-Caputo fractional derivative, which includes the Hadamard operator as a particular case when
. Second, we incorporate fractional integral boundary conditions of both quantum and
-type, leading to a more intricate non-local structure. Therefore, the proposed problem generalizes the model studied in [
26] and provides a unified framework that simultaneously covers classical Caputo, Hadamard, Katugampola, and other
-fractional operators. While both
-Caputo and
q-fractional operators have been studied separately in the recent literature, the present work distinguishes itself in three essential ways. First, the two operator families act on alternating subintervals within the same impulsive system, rather than appearing as a simple superposition in a single equation. Second, the boundary conditions simultaneously involve fractional integrals of both quantum and
-type, creating a genuinely mixed non-local structure that has not been previously considered. Third, the explicit solution representation derived in Lemma 4, together with the computable constants
and
, provides a unified and verifiable framework that recovers, as special cases, the results of Niyoom et al. [
26] (Hadamard and
q-difference), as well as purely Caputo-based and purely Hadamard-based impulsive systems. These distinctions motivate the present study as a substantive, rather than incremental, generalization. Consequently, investigating such a mixed framework is both mathematically meaningful and necessary for modeling hybrid dynamical systems involving memory, discrete-scale effects, and impulsive perturbations.
Despite the growing literature on impulsive fractional BVPs, a precise gap remains unaddressed: no existing work considers a system in which (i) the governing fractional differential equations alternate between a Caputo-type
q-difference operator and a
-Caputo operator on successive subintervals, and (ii) the boundary conditions simultaneously incorporate fractional integrals of both quantum and
-type. The interaction between the memory kernel encoded by
and the discrete-scale deformation captured by
q, propagated across impulsive jumps, gives rise to a solution structure—described in Lemma 4 below—that cannot be obtained by specializing any single-operator framework. Motivated by this gap, we investigate the existence and uniqueness of solutions for the following mixed impulsive fractional boundary value problem (that is, mixed between fractional
q-difference operators,
, and
-Caputo fractional derivatives,
) of the form:
conditioned on integral boundary condition
where
- 1.
The fractional orders satisfy and the quantum parameters satisfy , for and .
- 2.
The operators and denote the Caputo-type fractional q-difference and -Caputo fractional derivatives of orders , respectively.
- 3.
The operators and denote the Riemann–Liouville–type fractional q-integral and -fractional integral, respectively.
- 4.
The constants , , , , and are real numbers.
- 5.
The sets
,
and
, where
The points and () are the impulsive (discontinuity) points.
- 6.
The functions and are continuous.
By using the Banach contraction mapping principle and the Leray–Schauder nonlinear alternative, we establish the existence and uniqueness of solutions. Although the fractional operators recalled in
Section 2 are defined for arbitrary orders, the present study focuses on the case
to avoid higher-order initial terms and to simplify the application of fixed-point techniques.
Remark 1. 1. The function appearing in Equations (1) and (2) provides a unified framework that encompasses several well-established fractional calculi. In particular, when , the problem reduces to one formulated in terms of the Caputo fractional derivative and the Riemann–Liouville fractional integral. If , the formulation corresponds to the Hadamard fractional calculus. Moreover, choosing with , recovers the fractional calculus in the sense of Katugampola. 2. The parameter q acts as a bridge between local operators and difference-type (non-local) operators. Specifically, as , the fractional q -derivatives and integrals converge to the classical fractional operators associated with Newtonian calculus. In contrast, for , the corresponding operators involve evaluations at multiple sampling points, reflecting their intrinsically non-local character and aligning with the framework of non-Newtonian calculus.
3. The boundary conditions incorporate both pointwise measurements of the unknown function at the initial and terminal points and distributed measurements expressed through both q-fractional and ψ-fractional integrals taken over the entire interval. The relative influence of each distributed measurement is controlled by the corresponding constant coefficients that multiply the integral terms.
4. The proposed mixed ψ-Caputo and q-difference framework differs conceptually from two-scale fractal derivative models commonly employed to describe anomalous diffusion and fractal media; see, for example, refs. [27,28,29], while fractal derivatives primarily emphasize scaling effects induced by complex geometrical structures, the ψ-Caputo derivative introduces a flexible memory mechanism through the auxiliary function ψ, and the q-difference operator incorporates a discrete deformation parameter that bridges continuous and non-local dynamics. Consequently, the present approach provides an alternative modeling perspective, particularly suitable for impulsive systems exhibiting hybrid memory and discrete-scale characteristics. 5. The restriction is adopted throughout this paper for two reasons. First, it avoids the appearance of higher-order initial terms in the inversion formulas of Lemmas 1 and 2, which would require additional compatibility conditions on the data and substantially complicate the fixed-point analysis. Second, and more importantly, the analytical difficulty in the present setting does not arise from the order of differentiation itself, but rather from the alternating action of two structurally distinct fractional operators on successive subintervals, combined with impulsive jump conditions and mixed non-local boundary data. The derivation of the explicit representation in Lemma 4 and, in particular, the construction of the propagation factors , and the boundary constant Λ constitute the core analytical challenge of the paper. Extensions to orders for are conceptually straightforward but would require higher-order initial term corrections and are left for future work.
The proposed framework is not purely abstract. Several classes of real-world systems exhibit precisely the hybrid structure captured by problems (1) and (2). In viscoelastic materials subject to sudden mechanical loading, the stress–strain relationship possesses hereditary memory that is naturally described by a
-Caputo operator, while abrupt load applications correspond to impulsive jumps; the choice of
allows the analyst to match the observed memory kernel to experimental data. In epidemiological models with periodic intervention strategies—such as vaccination campaigns applied at discrete time instants—the inter-campaign dynamics may be governed by continuous fractional-order equations while the campaign periods involve discrete-scale or staged processes captured by q-difference operators. In micro-electro-mechanical systems (MEMS) oscillators with scale-dependent feedback (see [
30,
31,
32]), fractional-order damping and discrete sampling of the feedback signal lead naturally to a mixed continuous-discrete operator structure of the type considered here. These examples illustrate that the alternating-operator, mixed-boundary framework studied in this paper reflects genuine modeling needs rather than mathematical generalization for its own sake.
To place the present contribution in a precise context,
Table 1 compares the proposed framework with four closely related works across five structural dimensions. The table makes explicit the specific features that distinguish the present paper from existing studies.
The remainder of this paper is organized as follows. In
Section 2, we present several preliminary definitions and essential observations.
Section 3 is devoted to establishing existence and uniqueness results via Banach’s contraction principle and Leray’s nonlinear alternative. In
Section 4, a representative example is provided to illustrate the applicability of the obtained results.
2. Preliminaries
This section presents fundamental concepts related to two main frameworks: quantum calculus and its fractional extensions, as well as fractional calculus with respect to another function. These two approaches provide the analytical foundation for the mixed operators considered in this study. In the classical quantum calculus introduced by Jackson, the
q-derivative and
q-integrals are centered at zero. However, the formulation presented in [
19] generalizes the classical approach by introducing a shifted
q-calculus, allowing the center of the operator to be located at an arbitrary point
a. This generalization provides greater flexibility and makes the framework particularly suitable for studying phenomena defined on subintervals or problems involving piecewise structures. A brief overview of these concepts is given below. For
,
, and
, the
q-shifting operator is denoted by
Moreover, the power of
q-shifting operator is given by
where
. The power function of
comprising
q-shifting operator can be expressed as
Typically, if
, this leads to
The
q-difference of a function
in the range of
is able to expressed in terms of the
q-shifting by
and
.
On the other hand the
q-integral of a function
in the range of
is stated as
Specifically, we express the formulas for the Riemann–Liouville fractional q-integral and the Caputo fractional q-derivative in the range of as follows.
Definition 1 (see [
20])
. For a function the Riemann–Liouville fractional q-integral of order is expressed asand Definition 2 (see [
33])
. Let be a function that is n-times q-differentiable. The fractional q-derivative in Caputo sense of order over the interval is described byfor and where n is the minimum integer not less than α and . Lemma 1 ([
33])
. Let n be the smallest integer with . For , we have After introducing the essential properties of fractional q-calculus, we now present the corresponding concepts from fractional calculus with respect to another function , which will be employed together with quantum operators in the mixed framework considered in this paper. Let with for all .
Definition 3 (see [
2])
. Let and . The ψ-Riemann–Liouville fractional integral of order α to a function with respect to ψ is described by Definition 4 (Almeida, [
21])
. Let , and for which for all . The ψ-Caputo fractional derivative of order α to a function is described by The following lemmas demonstrate the property of function composition of the Riemann–Liouville fractional integral operator with the -Caputo fractional derivative.
Lemma 2 ([
21])
. For and , we have The integral formulas for power-type functions associated with both the fractional
q-calculus and the
-fractional calculus can be found in the literature. For completeness, we recall the following results, which are available in [
20] and [
2], respectively.
Lemma 3. Assume and are fixed. Then we have In the following we use the notations
Throughout, empty products are taken equal to 1 and empty sums equal to 0, consistent with the convention stated after (
9).
3. Main Results
In this section, we divide the analysis into two subsections dealing with the linear and nonlinear cases, respectively.
3.1. The Linear Problem
Here, we consider the special case of problem (
1) and (
2) where the nonlinear terms on the right-hand side reduce to linear functions.
The unique solution
u has the following piece-wise structure. On each
q-fractional subinterval
, the solution consists of three contributions: (a) a
global boundary-correction term, proportional to
, which distributes the effect of the integral boundary condition (2) across the entire interval
J; (b)
accumulated local terms that carry forward the fractional integral contributions from all previous subintervals via the propagation factors
and
; and (c) a
local fractional integral that represents the direct action of the governing equation on the current subinterval. The structure on each
-fractional subinterval
is analogous, with the
q-integral replaced by the
-fractional integral and the impulsive factor
prepended. Introducing the shorthands
the solution Formula (8) may be read as: the boundary-correction term involves sums of
and
weighted by
and
, balanced against the boundary coefficient
and the integral boundary data.
We analyze the behavior of the solutions and present several illustrative graphs.
Lemma 4. Let and be given functions and . Furthermore, , , , , , , are the same constants as those appearing in problem (1) and (2). Then the linear boundary value problem of mixed-type quantum and ψ-Caputo fractional derivatives of the form:has a unique solution u on , presented bywith , , if . Proof. To start with considering (
8) and utilizing the fractional
-integral of order
over the interval
with
, we obtain
which yields
where the initial condition is defined as
.
During the second interval
, the function
can be acquired through the fractional
-integral of order
as
Since
and
, we have
for
.
In the subsequent interval
, we consider the fractional
-difference of the function
. At this point, the fractional
-integral of order
is applied as
which indicates, according to the impulsive condition, that
In the fourth-th interval
we can obtain by direct computation that
Therefore, we can predict the solution
of (
8) by
To assert the validity of our Formula (
12), we utilize mathematical induction by placing
and
in both of the preceding and following stages of (
12), respectively. Then the initial step is valid by (
10) and (
11). The inductive step will be demonstrated by assuming that the first part of (
12) is true for
where
, i.e.,
Afterward, in the subsequent interval
, we have
which indicates that the second term of (
12) is valid for
.
Moreover, consider the scenario where the latter part of (
12) is executed when
where
, i.e.,
Therefore, in the following interval
, we get
Accordingly, the beginning part of (
12) is true. Thus, the formula (
12) is preserved for all
.
To utilize the boundary condition in (
8) first, we embed
in (
12) with
. Then, we obtain
Taking
q-integral of order
where
in first part (
12), we get
Multiplying both sides by
and summing over
to
m, we have
Taking the
-fractional integral of order
where
with
in the second part of (
8), we obtain
Multiplying both sides by
and summing over
to
m, we have
Substituting
and
in (
8), we have
which culminates in
By using the constant
, (
13), into (
12), we acquire a unique solution of linear boundary value problem (
8). □
Let
be the interval defined in (
1) and (
2). For simplicity of notation, we denote by
the space of piecewise absolutely continuous functions defined by let
Equipped with the norm
the space
is a Banach space. In particular, each function
is absolutely continuous on every subinterval of continuity. Therefore, the fractional operators
and
are well defined on each subinterval.
Lemma 5. Let be defined by the integral Equation (9). Then u is absolutely continuous on each subinterval and , , . In particular, the fractional derivatives and exist and are well defined on each subinterval. Proof. From (
9), the function
u is expressed as a finite sum of fractional integrals of continuous functions together with constants. Since fractional integral operators preserve absolute continuity, it follows that
u is absolutely continuous on each subinterval. Therefore, the fractional derivatives are well defined. □
Lemma 6. Let a function be defined as in (9). Then u satisfies the impulsive mixed fractional boundary value problem (8). Proof. Assume that
u satisfies the integral equations in (
9). By Lemma 5, the function
u is absolutely continuous on each subinterval. Hence, the fractional derivatives are well defined. To prove this, we divide the argument into four steps.
Step 1: Verification on
(the
q-fractional part). Fix
and take
. From (
9), the restriction of
u on
can be written in the form
where
is a constant (depending on
i and the impulsive data). Applying the Caputo-type fractional
-derivative
to both sides of above equation, we have
and
, which lead to
Step 2: Verification on
(the
-fractional part). Fix
and take
. Now, from (
9), the restriction of
u on
can be shown as
where
is a constant. Applying the
-Caputo fractional derivative
to both sides, we obtain
Step 3: Impulsive conditions at
and
. Taking the left and right limits of the integral representation (
9) at
and
(and using the piecewise continuity of
u), we directly obtain
because the constants
in (
9) were constructed exactly by propagating the solution across subintervals through the impulsive relations.
Step 4: Boundary condition. Evaluating the integral Equation (
9) at
and using the definition of the constant
, we obtain a linear relation of the form
which is exactly the boundary condition in (
8).
Combining Steps 1–4, we conclude that
u satisfies (
8). This completes the proof. □
The lemma established above is used to derive the integral equation equivalent to the linear fractional differential problem. For the sake of completeness, we demonstrate the applicability of the obtained result by presenting graphical illustrations based on this lemma. Additionally, we investigate the effect of varying the exponent of the given linear function. Consider the following mixed-type impulsive boundary value problem
subject to the integral boundary condition
with order
and
and
.
Then, the following figures illustrate the results of the problem by varying the constants
w and
v from 1 to 2. The figures include both an overall view and a detailed breakdown into specific intervals.
Figure 1 and
Figure 2 illustrate the behavior of the solutions for varying values of
w and
v, respectively.
The figures illustrate the behavior of solutions to impulsive fractional boundary value problems. The horizontal axis represents the variable , while the vertical axis corresponds to the solution or its derivatives. The plots highlight key features of the solutions, including smooth intervals and abrupt changes induced by impulsive effects. In particular, the presence of vertical jumps indicates the occurrence of discrete impulses at specific time points, illustrating the system’s response to sudden perturbations. Moreover, comparisons among multiple curves reveal differences between numerical and analytical solutions or demonstrate the influence of varying parameter values. Overall, the results are consistent with the theoretical predictions, confirming the stability and dynamic behavior of the solutions while also indicating potential deviations that warrant further investigation.
The following figures illustrate the behavior of solutions to the mixed-type impulsive fractional boundary value problem by varying the constants
w and
v from 1 to 2. To further investigate the influence of different fractional kernels, we compare the results across three distinct cases: the classical Caputo sense (
), the Hadamard sense (
), and the Katugampola sense (
with
).
Figure 3 compares the solution profiles under different fractional kernels.
The numerical results highlight key features of the solutions, including smooth intervals and abrupt changes induced by impulsive effects. Specifically, the presence of vertical jumps at and indicates the occurrence of discrete impulses, confirming the system’s response to sudden perturbations. It is observed that while the magnitude of the jumps remains consistent across all kernels, the choice of significantly dictates the curvature of the trajectories. The Caputo case exhibits steady power-law growth, whereas the Hadamard kernel shows a slower initial evolution, and the Katugampola kernel (for ) demonstrates a sharper response. Overall, these comparisons reveal that the proposed mixed-type framework is consistent with theoretical predictions and remains robust under various fractional operator definitions, demonstrating the stability and dynamic adaptability of the solutions.
3.2. The Nonlinear Problem
In this subsection, we reformulate the nonlinear boundary value problem (
1) and (
2) as an operator equation. We first define an operator
. Then we prove that the nonlinear problem is equivalent to the fixed point problem of the operator
, which enables us to establish the existence and uniqueness of solutions via fixed point theorems. Now, we define an operator
by
where abbreviations
mean nonlinear functions as
and
, respectively.
Lemma 7. A function is a solution of problem (1) and (2) if and only if it is a fixed point of the operator . Proof. Assume first that
is a solution of problem (
1) and (
2). By applying Lemma 4 with
for
and
for
, we obtain the integral representation corresponding to
u. By the definition of the operator
, this representation is exactly
. Hence,
u is a fixed point of
.
Conversely, assume that
is a fixed point of
, i.e.,
on
. Then
u satisfies the integral equation associated with problem (
1) and (
2). Therefore, by Lemma 6 with
and
, we conclude that
u satisfies problem (
1) and (
2). This completes the proof. □
We emphasize that the Banach contraction mapping principle and the Leray–Schauder nonlinear alternative, employed in Theorems 1 and 3 below, are classical tools. The contribution of the present analysis lies not in these tools themselves but in two aspects of their application to the present setting. First, the operator defined in (15) must correctly encode the full impulsive structure, including the alternating fractional operators and their interaction through the boundary conditions; its construction via Lemma 4 is nontrivial and specific to the mixed-operator framework. Second, the constants and defined in (16) provide explicit, computable sufficient conditions for the contraction and growth estimates, expressed directly in terms of the system parameters , and the function . These conditions can be verified a priori for any given configuration of the system, which is essential for practical applicability.
For computational convenience we put:
By Lemma 7, problem (
1) and (
2) is equivalent to the fixed point problem for the operator
. Hence, the existence and uniqueness results follow from standard fixed point theorems, namely, the Banach contraction mapping principle and the Leray–Schauder nonlinear alternative.
Theorem 1. Let and be continuous functions. In addition, we assume that:
- ()
There exist constants such that for all
Then, the mixed-type fractional quantum and ψ-Caputo fractional impulsive boundary value problem (1) and (2) admits a unique solution on , provided that , where and are defined by (17). Proof. Let
be a ball of radius
, described by
, where
r fulfills
We will show that
. Define
and
. For
and
, in the given sequence, we have
for
, and
for
. From triangle inequality and (
), we acquire
and
. As a result, we have
Thus,
, where
r satisfies the condition (
18). Therefore,
is valid.
Next, we will illustrate that
is a contraction operator. Consider any
. Then we have
for
, and
for
. This leads to
and hence
. Since
,
is a contraction. Consequently, by Banach’s contraction mapping principle, the operator
has a fixed point which provides the solution of the mixed-type impulsive fractional boundary value problem (
1) and (
2). The proof is completed. □
The subsequent theorem of Leray-Schauder’s nonlinear alternative will be utilized to establish our existence result [
34].
Theorem 2. Given is a Banach space, and is a closed, convex subset of . In addition let be an open subset of such that . Suppose that is a continuous, compact (that is, is a relatively compact subset of ) map. Then either
has a fixed point in , or
We encounter a (the boundary of in ) and with .
Theorem 3. Let and be continuous functions, satisfying the following conditions:
- ()
There exist continuous and nondecreasing functions and continuous functions , such that - ()
There exists a positive constant N such that
Then, the mixed-type fractional quantum and ψ-Caputo fractional impulsive boundary value problem (1) and (2) has at least one solution on .
Proof. Define a ball
. It is clearly to see that the ball
is a closed, convex subset of
. To utilize the result in Theorem 2, we begin by proving that
is a continuous operator. Define a convergent sequence
such that
. As a result, we have
as
, for
, and
for
. Thus, from the preceding inequalities, it follows that the operator
is continuous.
We proceed to prove the the compactness of the operator
. For
we have
Consequently,
, and hence
is uniformly bounded. To indicate the equicontinuity of the set
, let
with
. Thus, for any
, we obtain
as
when
and
as
, when
. Given that the above two inequalities converge to zero independently of
u. Therefore,
is equicontinuous set. We conclude that
is relatively compact. Through the application of the Arzelá-Ascoli theorem, the operator
is completely continuous.
Finally, we show that the set of all solutions to equation is bounded for .
Let
u be a solution. Then, working as in the first step, we have
or
From the hypothesis (
), there exists a positive constant
N such that
. We define an open subset of
by
. We remark that
and
is a relatively compact subset of
. Moreover, it cannot be the case that
such that
for some
. By the application of the result in (
i) of Theorem 2, the operator
has a fixed point
which satisfies the conditions of the problem (
1) and (
2) on
. Then problem (
1) and (
2) admits at least one solution. The proof is finished. □
The existence and uniqueness results established in Theorems 1 and 3 provide a complete answer to the basic well-posedness question for problems (1) and (2). While the fixed-point arguments follow classical lines, we note that the present results open several directions for deeper theoretical development. A natural and immediate extension is the investigation of Ulam-Hyers stability, which would establish that solutions of (1) and (2) are robust to small perturbations in the data , and the boundary coefficients. This type of stability is particularly relevant for impulsive systems, where the accumulated effect of small errors across multiple subintervals must be carefully controlled. A second extension concerns the limiting behavior as : by Item 2 of Remark 1, the q-fractional operators converge to their classical Riemann–Liouville counterparts, and it is of theoretical interest to establish whether the solutions of (1) and (2) converge correspondingly to solutions of a purely -Caputo impulsive BVP. These questions are left as subjects of future investigation.
4. Examples
In the current section, we outline several illustrative cases that demonstrate its practical utility and theoretical importance.
Example 1. Consider the following given mixed types of impulsive fractional boundary value problems in the form: Here, and where , respectively.
4.1. Part (I): Unique Solution via Theorem 1
Consider the mixed-type impulsive fractional boundary value problem (
20) with
f and
g given by
From (
21) and (22), it is readily verified that
so that condition
holds with
and
. Using the parameter values listed after (
20), we compute
which gives
Therefore, the hypotheses of Theorem 1 are satisfied, and problem (
20) with
f and
g as in (
21) and (22) admits a
unique solution on
.
Numerical validation via fixed-point iteration. To illustrate the unique solution, we apply successive approximation to the operator
defined in (
16). Starting from the initial iterate
, we compute
piecewise on each subinterval, evaluating the Riemann–Liouville–type fractional
q-integrals and
-fractional integrals numerically via Gauss–Legendre quadrature adapted to the respective kernel functions. The iteration is terminated when
.
Figure 4 displays the resulting unique solution
over the full interval
, obtained after convergence of the iteration. The solution exhibits smooth behavior on each subinterval of continuity and satisfies the prescribed impulsive jump conditions
with
,
,
,
, at the impulsive points
. The vertical dashed lines mark the impulsive points, and the red arrows indicate the direction and magnitude of each jump discontinuity. The reductions at
and
(governed by
and
) are visibly more pronounced than those at
and
(governed by
and
), consistent with the magnitudes of the impulsive coefficients.
Figure 5 shows the convergence history of the successive approximations by plotting
against the iteration index
n on a semi-logarithmic scale. The observed decay closely follows the theoretical geometric rate
, confirming that
is indeed a contraction on
with the contraction constant established in (
23).
4.2. Part (II): Existence via Theorem 3
For part (ii), we take
Since
for all
, and similarly
, we obtain the pointwise bounds
We therefore set
so that , , , and , and condition is satisfied.
Condition
requires that
for some
. Substituting the numerical values of
, a direct computation shows that
for all
.
Figure 6 displays
as a function of
N over the interval
, with a horizontal reference line at
. The shaded region corresponds to
, confirming graphically that condition
is satisfied and that the hypotheses of Theorem 3 hold for
.
Therefore, by Theorem 3, problem (
20) with
f and
g as in (
24) and (25) admits
at least one solution on
.
Figure 7 displays a numerically computed solution branch obtained by applying the successive approximation scheme initialized at
to the operator
with the nonlinear Functions (
24) and (25). The solution is piecewise smooth on each subinterval and the impulsive jump conditions are satisfied at each discontinuity point, consistent with the theoretical framework.
Remark on practical relevance. Although the functions
f and
g in both parts of Example 1 are chosen primarily to satisfy the analytical hypotheses of Theorems 1 and 3 in a transparent and verifiable way, their structural properties reflect features of genuine physical models. The bounded Lipschitz growth of
f in part (i) (constant
) is consistent with saturation effects observed in viscoelastic or MEMS oscillator models [
30,
31,
32], where the restoring force remains bounded under large deformations. The super-linear-then-saturating growth captured by
in part (ii) reflects the behavior of nonlinear incidence functions in epidemiological systems at moderate population sizes. The impulsive jump ratios
and
model
dissipative impulses, such as instantaneous energy loss at mechanical impact or an abrupt reduction in infected population following a vaccination campaign, and their cumulative effect on the solution profile is clearly visible in
Figure 4 and
Figure 7.
5. Conclusions
In this work, we have established well-posedness—specifically, existence and uniqueness of solutions—for a class of mixed impulsive fractional boundary value problems in which -Caputo fractional derivatives and Caputo-type q-difference operators act on alternating subintervals, subject to boundary conditions involving fractional integrals of both quantum and -type. The results are obtained via the Banach contraction mapping principle and the Leray–Schauder nonlinear alternative, applied to a solution operator whose construction encodes the full impulsive and non-local structure of the problem. We emphasize that the primary contributions of this paper are: (i) the derivation of an explicit integral representation (Lemma 4) for the mixed-operator linear problem, which underpins all subsequent analysis; (ii) the identification of computable sufficient conditions and (H3) that can be verified a priori for any given parameter configuration; and (iii) the unification, within a single framework, of several previously studied fractional models—including Caputo, Hadamard, and Katugampola impulsive BVPs—as special cases.
Several important qualitative properties of the solutions established here remain to be investigated and constitute natural directions for future research. Chief among these is stability analysis: specifically, Ulam–Hyers and Ulam–Hyers–Rassias stability results, which characterize the sensitivity of solutions to perturbations in the right-hand side functions f and g in the boundary data. In the impulsive setting, such stability estimates must account for error accumulation across the jump conditions at and , which makes the analysis non-trivial and distinct from the non-impulsive case. Additionally, the qualitative behavior of solutions as the parameters and as the function is varied constitutes a form of bifurcation analysis that would clarify the transition between different modeling regimes. Controllability and optimal control problems within the present mixed-operator framework, as well as extensions to systems incorporating delays or stochastic perturbations, are further directions that the present results make accessible.
Moreover, future research directions may include the investigation of controllability and optimal control problems, as well as the extension of the present framework to systems with delays, stochastic perturbations, or variable-order fractional operators.