1. Introduction
The fractional derivative originated from an initial discussion between L’Hospital and Leibnitz in 1695, but it did not attract enough attention at that time, and was considered a paradox for a long time. Many researchers have cited fractional calculus as the most useful in characterizing materials and processes with memory genetic properties up until the 2000s. Until recent decades, many researchers pointed out that fractional calculus is the most effective in characterizing materials and processes with memory genetic properties. For example, the transport of chemical pollutants around rocks through water, viscoelastic material dynamics, cell diffusion processes, and network flow. Fractional-order equations can be more accurate than integer-order differential equation while describing the physical change process (cf. [
1,
2,
3]). As a branch of calculus theory, fractional differential equations have been developed in both theory and application (cf. [
4,
5,
6,
7,
8,
9,
10]), especially in the modeling of abnormal phenomena [
11]. There are many forms of fractional calculus, such as the Riemann–Liouville, Caputo, and Hadamard fractional calculus. In ref. [
12], Erdelyi also defined fractional integration with respect to
for any non-zero real
n. Recently, a generalized derivative has been considered in [
13,
14] by Katugampola, which unifies the Riemann–Liouville and Hadamard integrals into a single form. Ref. [
15] presents the existence and uniqueness results for the solutions to initial value problems of the fractional differential equation with respect to a power function of order
.
Usually, initial and boundary conditions cannot describe some information of physical or other processes happening inside the whole area. In order to cope with this situation, non-local conditions are found to be more valuable in modeling many physical change processes and others (cf. [
16,
17,
18,
19,
20,
21,
22,
23,
24]). In ref. [
17], by the use of some fixed-point index theory on the cone, Bai obtain the existence of positive solutions for the equation
by employing a fixed-point index theory on the cone with non-local boundary value conditions
where
,
,
,
is the Riemann–Liouville fractional differential operator. N′Guerekata considered the solution to the above problem when the boundary condition becomes
in a Banach space [
18]. He proved that if
f is a jointly continuous function and
g is a Lipschitzian function, then the problem has a unique solution. Deng’s paper indicated that the above non-local condition is better than the initial condition
in physics [
20].
Recently, Ahmad et al. [
25] obtained the uniqueness of solutions for a boundary value problem
where
is the fractional differential operator with respect to a power function of order
is the fractional differential operator with respect to a power function of order
is the Stieltjes integral with respect to the function
H, and
H is a bounded variation function on
In 2015, Chatthai et al. [
21] considered the existence and uniqueness of solutions for a problem consisting of the nonlinear Langevin equation of Riemann–Liouville-type fractional derivatives with the non-local Katugampola fractional integral conditions
In this paper, we initiate the study of non-local boundary value problems of generalized fractional differential equations supplemented with generalized fractional integral boundary conditions
where
,
is a real number,
is a criterion fractional differential operator with respect to a power function of order
,
is the fractional integral with respect to a power function of order
and
are real constants such that
The objective of this paper is to investigate a class of Caputo-type fractional derivatives defined with respect to power functions, focusing on their analytical properties and behavior in non-local differential equations. Distinct from classical Riemann–Liouville fractional integrals and Hadamard-integrals, this family of operators converge to classical forms under variations of the power exponent. The presence of an additional parameter introduces structural dependence in the operator, which may lead to fundamental changes in the existence of solutions to associated differential equations. The structure of this paper is organized as follows: In
Section 2, we describe the necessary background material related to our problem, prove operator semigroup
uniform continuous and strongly continuous, and prove an auxiliary lemma. In
Section 3, using fixed-point theory, we establish existence conditions for solutions to this class of nonlinear fractional differential equations under different non-local conditions, and determine the value ranges of certain parameters when solutions exist. To demonstrate the validity of the Theorems,
Section 4 presents three examples.
2. Caputo-Type Fractional Derivative
In this section, let us review the definitions and certain related theorems regarding the fractional calculus of a function with respect to power functions, and give some lemmas which are helpful in the next section. In ref. [
1], Samko et al. provided the definitions of fractional integrals of a function
f with respect to another function
g on
where
g is an increasing and positive monotone function on
having a continuous derivative
on
and
is the gamma function defined by
For
Let
denote the space of all Lebesgue measurable functions
for which
where the norm is defined by
In particular, when
the space
In the above definition of the fractional integral of a function with respect to another function, when selecting we can obtain the following definitions of the generalized fractional differential and fractional integral.
Definition 1. Let and The fractional integral operator with respect to a power function of order α is defined byThis integral is called the left-sided fractional integral. The right-sided fractional integral is defined by Definition 2. Let and The left-sided fractional derivatives operator with respect to power function and right-sided fractional derivatives operator with respect to power function are defined byand The physical basis for using the power function as the kernel in fractional-order differentiation primarily stems from its mathematical ability to describe memory effects and hereditary properties. It captures the phenomenon of long-range memory or non-locality in many physical and engineering systems, where the current state depends on the entire historical process. In many physical processes, the current state of a system depends not only on its recent state but also on its past states; however, this dependence decays over time. The power function perfectly describes this decay. When is close to the current time t, the kernel function value is large, meaning recent history has a strong influence on the current state. When is far from the current time t, the kernel function value is small, meaning distant history has a weak influence on the current state, but the influence never completely vanishes (as long as ). Furthermore, power functions are the hallmark of fractal structures and scale-invariant systems. In many materials with complex microstructures (such as porous media, rough surfaces, colloids), their physical behavior is statistically scale-invariant. The fractional differential operator, due to its power-law kernel, itself possesses scale invariance. Performing a scale transformation on a fractional derivative only yields an additional constant factor. This mathematical property matches the fractal nature of physical systems, enabling fractional models to more fundamentally describe transport processes (such as percolation, diffusion) in such systems.
From the pure mathematical theory of the 19th century to its successful application in viscoelastic mechanics in the mid-20th century and to today’s extensive exploration in numerous scientific and engineering fields, the power-law kernel-based fractional model has established a solid mathematical foundation, physical interpretation, and a wealth of successful application cases. It has become an indispensable tool for modeling and analyzing complex systems.
The properties and related theorems concerning generalized fractional differential operators and generalized fractional integral operators were introduced by Katugampola in 2014 [
13].
The generalized differential operators depend on parameter
compared with classical fractional derivatives. Most of the characteristics of generalized fractional derivatives depend on the value of
[
13]. In fact, we have
where
is a Riemann–Liouville fractional differential operator, and
is a Hadamard differential fractional operator.
From Definition 1, and by direct computation with respect to , we can find the following proposition:
Preposition 1 ([
14])
. Let and We havewhere Let be the space of an absolutely continuous function on In addition, the space consists of those functions g that have an absolutely continuous derivative. The conclusions regarding the simple properties of the generalized differential operators [
13,
14] are as follows. Unless otherwise stated, we suppose throughout that
and
For
and
we have
In particular, the solution of differential equation
has the form
where
are real constants.
For
and
If
and
then we have
On the other hand, we can estimate the
in ref. [
14]. For
and
such that
For any
we have
where
In order to prove Theorem 2, we need the following Theorem 1, which is a fundamental result of the fractional integration operator
[
13].
Theorem 1 ([
13])
. Let and let Then, for the semigroup property holds,For all where are arbitrary constants. Theorem 2. If , such that then the fractional integration operator is a uniform continuous semigroup in which is strongly continuous for all
Proof. By (10) and (12),
is the boundary linear operator in
Let
we have
First, let us estimate the operator norm
and
In view of (10)
Next, since
then
we have
Consequently, applying the generalized Minkowski inequality
Combining (13) and (14), we can obtain
Letting
taking into account that
is continuous for
and
it follows that
Let
define the identity integration operator
Let us prove that
We have
Thus, we have
Applying the generalized Minkowski inequality in the right-hand side integral
By the Lebesgue-dominated convergence theorem, we obtain
And, we have
Since
is a continuous function for
and
when
; therefore, we have
Combining the above argument, (15) is held, which completes the estimation and the proof.
□
Remark 1. When the operator is a semigroup in This is the same as the standard Riemann–Liouville fractional integration operator (see [7]). Lemma 1. Assume is a strongly continuous operator semigroup in Banach space then constant exists such that 3. Non-Local Boundary Value Problems
Let For define the norm When is a Banach space.
Preposition 2. Let and LetFor any and with Then, the function x is the solution of the non-local fractional differential equation boundary-value problemif, and only if, Proof. Applying the operator
on the linear differential Equation (
17), we have
Using (8) and (9), we can obtain
where
The condition
implies that
Applying the fractional integral operator with respect to a power function
of order
on (19) after inserting
in it, and using (19), we get
which, together with the second condition
we have
Thus,
Substituting
,
into (19), we obtain the solution (18). Conversely, it can easily be shown by direct computation that the integral Equation (
18) satisfies the boundary value problem (17). Thus, the function
x is a solution to the linear boundary value problem (17) if, and only if, it can be expressed in the form (18). □
To prove the main theorems of
Section 3, we need the following well-known fixed-point theorem [
26].
Theorem 3 ([
26])
. Let E be a non-empty, closed, convex and bounded subset of the Banach space X and let and be two operators such that- (a)
A is a contraction,
- (b)
B is completely continuous, and
- (c)
for all
Then, the operator equation has a solution in E.
Lemma 2. The space is a Banach space.
Proof. Set
Let
and
such that
Given a Cauchy sequence
in
then
is a Cauchy sequence in
Since
is complete, there exists a function
such that
Assume a function
such that
We will prove that
In order to prove we need to prove Since is a continuous function on there exists a constant such that for all For any we take is any finite collection of mutually disjoint subintervals of such that holds.
Based on the above results, we have
Which implies that
Furthermore, since
,
exists such that for
where
which yields that
in
Consequently, we have
Thus, (20) is valid. Since
in
It shows that
in
Therefore,
is a Banach space. □
Theorem 4. Let Assume , and the following conditions hold:
and(H2): and satisfywhere Then, problem (1) and (2) has at least one solution.
Proof. Let
set
For
define the space
S by
Define an operator
on
S as follows:
Let
It is clear that
is a solution of (1) if it is a fixed point of the operator
Then, we will prove
is a completely continuous operator and
is a contractor operator. For
which implies that
In order to show that the operator
is continuous, for any
with
by the Lebesgue-dominated convergence theorem, we have
Next, we prove that
is equicontinuous. Let
,
For given
we take
where
Then, when
for each
we will get
For
Consider the function
we can obtain that
Case 1: Let
then
Case 2: Let
then
Combining the above two cases,
Apply the generalized Minkowski’s inequality
and similarly,
Consequently, together with (27) and (28), gives
Therefore,
is a completely continuous operator.
Finally, we show that
is a contractive operator. For any
Which implies that
is a contraction by using (H
2). Thus, according to Theorem 3, there exists a
such that
So, operator
has a fixed point implies that the problem (1) and (2) has at least one solution on
. □
Remark 2. If is a constant, then condition (21) reduces towhere L and λ satisfies Remark 3. In the case that the generalized fractional integral boundary condition reduces toThen, the value Δ
is found to be(24) modifies the form Then, we consider the existence of a solution for the differential Equation (
1) with boundary condition
where
and
In Theorem 4, the boundary condition (2) provides information about the unknown function at the two endpoints, with the value at the second endpoint given by the sum of Caputo-type integrals at a finite number of points within the interval. Next, we examine the existence conditions for solutions to Equation (
1) when the boundary condition is replaced by (31). In this case, the Caputo-type integral of the unknown function at a certain point within the interval is expressed as a linear combination of the function values at a finite number of points inside the interval.
Preposition 3. Let and LetFor any and with Then, the function x is the solution of the non-local fractional differential equation boundary-value problemif, and only if, Proof. This Proposition is a special case of Proposition 2. So we will not prove it again. □
Theorem 5. Let Assume , and the following conditions hold:
(H3): constant and exist such thatand(H4): and satisfyThen, problem (1)–(31) has at least one solution.
Proof. Let
set
is a constant,
Define an operator
on
S as follows:
Let
It is clear that
is a solution of (1) and (31) if it is a fixed point of the operator
Similar to the proof of Theorem 4, we may deduce that
is a completely continuous operator and
is a contractor operator. Therefore, according to Proposition 1,
has a fixed point in
. □
Remark 4. In Deng′s paper [20], the non-local conditionwith can be applied to describe the diffusion phenomenon of a small amount of gas in a transparent tube. Obviously, the boundary condition (31) in Theorem 5 is a special form of condition (38). 4. Examples
In this section, to illustrate the application of the Theorems, we constructed the following examples.
Example 1. Let us consider the following fractional differential equation boundary value problemwhere , and satisfy By Theorem 4, if the continuous solution to problem (39) exists, λ and β must satisfy certain conditions. In fact, since
and
Thus, conditions H
1 and H
2 now are
Combining the above two inequalities, we have
Let us choose
,
the first inequality in (40) becomes
satisfies inequality
By solving this inequality, we get
When
the inequality stated above is not true. Therefore, for
the boundary value problem (39) has at least one solution on
Example 2. Consider the following fractional differential equation boundary value problemwhere and Using the given values, we can calculate
and
It is easy to check that
is continuous and
select
Also
satisfy the condition (H
2) of Theorem 4, for any
,
satisfy the condition (H
1).
Therefore, by the conclusion of Theorem 5, the non-local boundary value problem (41) has at least one solution on
Example 3. Consider the following problemwhere , . is a constant, such thatSetUsing the given values, we can calculate Selecting we haveIt is easy to check that is continuous and The calculation results satisfy condition (H3) and (H4) in Theorem 5. Therefore, by the conclusion of Theorem 5, the non-local boundary value problem (42) has at least one solution on
5. Conclusions and Future Work
In this paper, we investigate the definitions and properties of fractional integrals with respect to a power function. We proved the strong continuity properties of the associated semigroups and obtained an existence Theorem for solutions of differential equations under non-local boundary conditions when the order is Notably, the definition contains a special parameter which influences the results of the integrals. Furthermore, the existence conditions of solutions to the non-local problem are impacted by the selection of the parameter
An interesting question is whether, when a considerable amount of experimental data are available, it is possible to adjust the exponent of the power function and identify an appropriate integral kernel. This would allow for fitting the experimental data with specific equations to predict the system’s future trends. Alternatively, fractional operators with other special functions as integration kernels can be explored, and their applications in specific problems considered. Of course, the very process of theoretical development is inherently meaningful.