1. Introduction
Fractional calculus has emerged as a powerful tool for modeling complex systems marked by memory effects, nonlocality, and anomalous dynamic behaviors. Its applications extend across a broad spectrum of disciplines [
1,
2], ranging from theoretical physics [
3,
4,
5] and electronic engineering [
6] to advanced signal processing [
7]. Among the various fractional operators, while the Riemann–Liouville and Caputo derivatives remain the most widely adopted in practical applications, the Hadamard fractional derivative defined through a logarithmic kernel presents a unique theoretical framework [
8], this distinct approach is particularly advantageous for addressing problems characterized by geometric invariance or scale-dependent properties [
9,
10], which can accurately describe processes characterized by memory effects and long-range dependencies. Thereby stimulating growing research attention toward Hadamard fractional differential equations (HFDEs) [
11,
12] and the exploration of their solvability across different domain settings [
13]. Specifically, Aderyani and colleagues [
14] have derived a solution representation formula and proved the uniqueness of solutions pertaining to the Hilfer-Hadamard proportional fractional differential equation. In related work, Halder, Deepmala, and Agarwal [
15] have established the existence of solutions and developed an iterative algorithm for an infinite system of two-variable functional integral equations that incorporate the Hadamard fractional integral operator.
In recent years, scholars have achieved significant advancements in the existence and uniqueness results for HFDEs defined on unbounded domains. This progress has been primarily driven by the application of various fixed point theorems, including cone fixed point theorems [
16,
17,
18], the Leggett–Williams fixed-point theorem [
12,
16,
17,
19], and Banach’s contraction mapping principle [
15,
17,
20]. Such findings hold crucial theoretical value as they guarantee the well-posedness of mathematical models constructed from HFDEs under specific boundary conditions, particularly those incorporating integral constraints and discrete point conditions. Despite these developments, the research landscape concerning Hadamard fractional differential equations on unbounded intervals still exhibits notable limitations, as documented in existing literature [
21,
22,
23,
24]. To illustrate, Wang and colleagues [
25] conducted an investigation into boundary value problems featuring both integral and multi-point conditions:
Here
denotes the Hadamard-type fractional derivative with order
r;
represents the Hadamard-type fractional integral of order
, where the sequence satisfies the condition
and
are positive real constants.
Based on the generalized integral boundary conditions of HFDE as formulated in (
1), researchers in [
16] explored solvability results for the following HFDE:
It should be emphasized that the nonlinear components in Equations (
1) and (
2) exhibit dependence solely on the solution
, and
is a low-order fractional derivative. However, many advanced physical models require the nonlinear terms to necessitate dependence on fractional derivative components, specifically the highest-order derivative term
. Recognizing this critical characteristic motivates our investigation into the solvability properties of the following higher-order HFDE:
where
denotes the Hadamard-type fractional-order derivative,
,
,
are Hadamard-type fractional-order integrals of order
with
Here
and
are positive real constants. It should be noticed that the multi-point strip boundary condition specified in (
3) is that it establishes a proportional relationship between the Hadamard fractional derivative of the unknown function evaluated at infinity and a combined sum involving two distinct components: the Hadamard fractional integral values of this function over the interval
and the discrete functional values determined at the specific points
. This mathematical formulation effectively connects the asymptotic behavior of the unknown function at infinity (as described by its Hadamard fractional derivative) to both its integral characteristics over a continuous interval and its discrete values at predefined points, thereby creating a comprehensive boundary condition that integrates both continuous and discrete information. The proportionality relationship embedded within (
3) thus serves as a critical link between the global behavior of the function at infinity and its local properties within the strip domain and at specified discrete points.
To the best of our knowledge, few authors have investigated the high-order HFDE given in (
3) over unbounded domains. This paper makes three primary contributions: Firstly, we analyze the HFDE (
3) where the nonlinear term
f explicitly depends on the highest-order fractional derivative
, generalizing the scope of earlier models [
16,
19,
20,
25]. Secondly, we extend the analysis of the HFDE (
3) to arbitrary fractional orders
, generalizing common results limited to
, which differs from the equations [
16,
25]. To address this generalization, we derive new critical properties of the associated Green’s function (as detailed in Lemma 2), which serve as the foundational basis for our primary analytical framework.
The paper is structured as follows.
Section 2 provides essential definitions and preliminary lemmas from Hadamard calculus and introduces the key properties of the Green’s function.
Section 3 presents our main results concerning the monotone iterative scheme for the HFDE (
3). An illustrative example is also provided. Finally,
Section 4 contains concluding remarks.
2. Preliminaries
First we outline key definitions and review relevant theoretical background, these will be utilized to prove our primary results.
Definition 1
(see [
9])
. The Hadamard-type fractional derivative of order for an integrable function f: is defined as
where represents the integer part of the real number r. Definition 2
(see [
9])
. The Hadamard-type fractional integral of order for an integrable function f: is defined as Consider a space consisting of continuous functions denoted by endowed with the norm which is a Banach space as [20]. Lemma 1.
If there exists a continuous function satisfying the conditions and
,
then the high-order HFDE:has a unique solutionwherewith Proof. Using
, we have
From
, we obtain
that is
So
Utilizing
, it can be directly calculated that
Then
This completes the proof. □
Lemma 2. The Green’s functions formulated in (5) possess the subsequent characteristics: (A1) are continuous and nonnegative for all ;
(A2) for all .
Proof. Characteristic (A1) is clearly satisfied. Observing (A2), it can be inferred through direct calculation that
Thus, Characteristic (A2) is satisfied. □
Remark 1.
The following results can be derived from Lemma 1 where the function is defined as and Proof. Differentiating with respect to (
5), it can be directly calculated that
the proof is completed. □
Remark 2.
The functions and formulated in (5) and (7) possess the subsequent characteristics: (B1) for
(B2) , for .
Proof. From (
6) and (
8), we can directly observe that
and
Thus, characteristic (B1) is satisfied. Similar to the proof of (A2), it is clear that characteristic (B2) holds. □
Lemma 3
(see [
20])
. Let be a bounded set. Then U is relatively compact in X if the following conditions are satisfied:(i) For any and are equicontinuous on any compact interval of J;
(ii) For any and , there exists a constant such thatand for any .
3. Main Results
We define the cone
as
, and the operator
:
is given by
By Remark 1 and (
10), for
, we have
Throughout this paper, we assume that f satisfies the following conditions:
H1.
The function and the constant .
H2.
The nonnegative functions are integrable on J and the nonnegative constants satisfywith H3.
The function exhibit a monotonically increasing behavior with respect to the variables z and y, and satisfy is not identically zero for all
H4.
The nonnegative functions are integrable on J and satisfywith Lemma 4.
If the conditions (H1) and (H2) are met, then Proof. From the conditions (H1) and (H2), it follows that
Thus, Lemma 4 is established. □
Lemma 5.
If the conditions (H1) and (H2) are met, then the operator is completely continuous.
Proof. This proof is divided into four steps.
(I) We demonstrate that the mapping : is well-defined and carries bounded sets to bounded sets. Due to , it follows that , for any , which implies : .
Set
, where
is a certain constant. By applying Lemmas 2 and 4 and (
10), we obtain
and using Remarks 2, (
11) and Lemma 4, we get
That is
Thus,
is uniformly bounded in
V, which implies that the operator that
maps bounded sets into bounded sets.
(II) We show that
is continuous. Let
and
z be two elements of
V such that
as
. Thus
. Similarly to (
13) and (
14), we have
and
Based on the continuity of the functions
f, we get
and
Noticed that
By the Lebesgue dominated convergence theorem, we have
and
Then
Thus, we can conclude that
T is continuous.
(III) Let
be an arbitrary compact interval. We prove
and
are equicontinuous on
I. For any
and for any
, we have
The function
is uniformly continuous for any
. In fact, for a fixed
with
, we have
Furthermore, for any a certain
such that
, the function is does not depend on
s, that is
It should be emphasized that the function defined earlier exhibits independence from the variable
s for all values of
under the condition that
. Additionally, the function
demonstrates uniform continuity across the entire domain
J. Consequently, for all
and
, we have
Combining (
12), (
17) and (
18) yields
for all
and
. Therefore the functions
are equicontinuous on
I.
Notice that
By the same method as above, using the representations of the functions
, it can be shown that the fractional derivative
exhibits equicontinuity over the interval
I. Therefore, the hypothesis (i) of Lemma 3 holds.
(IV) We show that the operator
T is equiconvergent at
. Owing to
then, given any
, there exists a sufficiently large constant
, such that for any
and
, we have
It is straight forward to show that the function
exhibits equiconvergence at
through the application of Lemma 4 and (
17). Moreover, by analyzing the structural form of
, it follows that
are also equiconvergent at
. Thus the assumption (ii) of Lemma 3 is satisfied.
By utilizing Lemma 3, we conclude that the operator T: is completely continuous. So the proof of the theorem is now complete. □
Theorem 1.
If the conditions (H1), (H2) and (H3) are met, then the HFDE (3) possesses two approximate solution sequences and , which converge to the positive extreme solutions and equipped with where Θ
is a given real constant. The sequences and are defined as follows:and for . Furthermore, these two sequences have the following monotonicity properties:and Proof. From Lemma 1, it implies that a vector
is a positive solution of the HFDE (
3) if and only if it is a positive fixed point of the operator
. Therefore, we reduce to finding the fixed points of the operator
.
Lemma 5 implies that
is a subset of
U. Let
where
Let
. For any
, direct calculation similar to that in (
13) and (
14) yields
and
which indicates that
.
Combining Equations (
19) and (
20), it can be concluded that both
and
. We next introduce two sequences
and
where
and
for
. Due to
, it is evident that
for
By (
19), conditions (B1) and (H2), for any
, we obtain derive
By conditions (B2) and (H2), for any
, we have
that is
By (
24) and (H3), we perform the second iteration by repeating the aforementioned steps
for all
, and
For
, iterating repeatedly yields
Furthermore
:
is completely continuous, which guarantees that there exists a
and a subsequence
S of
such that
as
in
S. By combining this convergence result with equation (
25), we can further conclude that the full sequence
itself converges to
as
. Leveraging the continuity of
together with the relation
, it follows directly that
, meaning that
is a fixed point of
.
A similar argument applied to the sequence
yields
and
By the condition (H3) we know
and
Similarly, for
and
, repeated iteration yields
Due to the relation and the complete continuity of the operator , it follows that and . Therefore, is also a fixed point of .
Finally we demonstrate that
and
are two extreme positive solutions for the HFDE (
3). Suppose that
represents a positive solution for the system (
3). Then
and
and
The monotonicity of the operator
T ensures this property
and
Repeating the aforementioned steps, we have
and
Due to
and
, the results presented in (
21) hold.
It is clear that the HFDE (
3) has no zero solution since
for all
. By (
21), it is obvious that
and
are two extreme positive solutions of (
3) which can be obtained by utilizing two different monotone iterative sequences in (
19) and (
20), respectively. The proof is completed. □
Remark 3.
Suppose that the condition H2 can be replaced by the following assumption:
H5. The nonnegative functions are integrable on J and the nonnegative constants satisfy the following conditionWhile all other assumptions are consistent with those stated in (H2), then the conclusion of Theorem 1 remains valid. However, the constraint on Θ
specified in (23) requires modification to the following form:where Λ
is defined as the maximum of M and N (i.e., ). So, repeating arguments similar to proof of Theorem 1, we can obtain the same conclusion. Remark 4.
Suppose that the condition H2 can be replaced by the following assumption:
H6. The nonnegative functions are integrable on J and the nonnegative constants satisfy the following conditionWhile all other assumptions are consistent with those stated in (H2), then the conclusion of Theorem 1 remains valid. However, the constraint on Θ
specified in (23) requires modification to the following form: Remark 5.
We obtained the existence of positive extreme solutions for the higher-order HFDE (3) by Theorem 1, the Remark 3 and Remark 4. Some growth conditionsis given through three cases: In ; In ; In and some additional restriction and is given. Theorem 2.
Assume that the hypotheses (H1) and (H4) are hold. If then the high-order fractional differential equation (HFDE) given by formula (3) admits a unique positive solution in U. Furthermore, there exists an iterative sequence such that converges uniformly to on any bounded subinterval of J as . The iterative sequence is defined by the recurrence relation In addition, an error estimation result can be established for this approximation sequence Proof. Choose
where
m is given by (
26) and
is specified by hypothesis (H4).
First, we proceed to prove that
, where
. For each
, applying Lemma 1, Lemma 2, Remark 1, hypothesis (H4) and Remark 2, we can derive the following result
and
that is
, which implies
.
Now we demonstrate that
is a contraction. For arbitrary
, in accordance with hypothesis (H4), it follows that
and
which implies
Due to
, it follows that
satisfies the contraction condition. Consequently, by the Banach’s contraction mapping principle, the operator
has a unique fixed point
u in
. In other words, the Equation (
3) admits a unique positive solution
u.
Moreover, for arbitrary
as
, where
,
. By (
29), we obtain
and
By allowing
j to approach positive infinity on both sides of equation (
30), we obtain
Hence the proof of Theorem 2 is completed. □
Example 1.
Consider a HFDE defined on an unbounded interval:Corresponding to the HFDE (3), where Through calculation, we obtained Thus condition (H1) is satisfied. Choose Thus we get where and
Therefore condition (H2) satisfied.
It is straightforward to confirm that f is increasing with respect to the variables and that .
Thus, condition (H3) is satisfied. According to Theorem 1, for any constant , it can be deduced that the HFDE (31) has two positive solutions such that . In addition, and may be derived by means of the iterative sequence presented below:with the initial values and ,
respectively. Choosing as the starting point for iteration, the first-order iterative term can be derived accordingly: Example 2.
Consider a HFDE defined on an unbounded intervalCorresponding to the HFDE (3), whereAnalogous to the methodology presented in Example 1, we obtained ,
so we can readily confirm that Hypothesis (H1) is satisfied. Noting that ChooseThus we getthis indicates that hypothesis (H4) is hold. Through direct calculation, we obtainThus, all the conditions specified in Theorem 2 are fully satisfied. Consequently, for any constant ,
the equation presented in Equation (34) admits a unique positive solution such that
,
which can be derived through taking the limits of the iterative sequences similar to (32):with the initial values or .
Choosing as the initial iteration function, we can get ,
the first-order iterative term can be derived that is the same as in (33). In addition, we can obtain the following error estimates: