1. Introduction
It is practically established that many real-world phenomena, especially the physical processes, appear to manifest variable fractional order behaviors in respect to time. The mathematical models based on an equation/system with variable-order (VO) fractional derivatives seem to be a more adequate description of these types of phenomena. The VO fractional operators can be considered as a natural analytical generalization of the constant order (CO) operators, which explains the high number of articles devoted to the development of the concept of variable and distributed order fractional operators as well as to the study of their important characteristics in terms of practical applicability (physical realization, …), memory behaviors of the defining kernels and so on.
For the necessary mathematical (technical) details such as linearity and time invariance of the operator, the operator initialization, operational transforms and so on, see [
1,
2,
3]. However, the definitions, useful for physical applications, have some conceptual mathematical problems. We note that the theory of VO fractional equations and systems with or without delay is, generally speaking, substantially more complicated, at least technically but not only. This is based on the obstacle that, in general (without special additional conditions), the VO fractional differential operator is not left inverse of the corresponding VO integral operator. This fact is established in [
4,
5], which to the best of our knowledge are the first deep studies devoted to these conceptual mathematical problems. Historically, as far we know, the first works devoted to finding a pair of kernels, via which it is possible to define the VO fractional differential operator and VO fractional integral operator, where the VO differential operator is left inverse of the VO fractional integral operator, are [
6] (Sonin pair kernels) and [
7] (Scarpi pair kernels). For more detailed information about the Sonin kernels and Scarpi’s approach, see the works [
8,
9], respectively. For comprehensive information concerning the development of this theme as well as for different approaches by the formulation of various kinds of VO fractional integrals and derivatives, we recommend the remarkable works [
10,
11,
12,
13,
14,
15,
16] and the references therein.
As mentioned in the works cited above, the inverse property of the VO differential operator, however, recovers in the constant-order (CO) differentiation theory, and hence from this point of view our approach has a natural reason. The main idea of our approach is to replace the study of the VO fractional systems with the study of the one-parameter family of CO fractional systems. This idea leads to some technical difficulties, but these difficulties can be managed.
The basic aim of the present work is to study a class linear system with distributed delays and VO fractional derivatives. The definition of the VO Caputo-type fractional derivative used in this article is introduced in several works such as [
10,
14,
16]. Our work was partially inspired by [
17,
18].
This paper is organized as follows.
Section 2 presents the necessary definitions of CO- and VO-type fractional integrals, the problem statement and the needed auxiliary definitions and facts for our exposition.
Section 3 contains an introduction to our approach, which consists of finding an associated one-parameter family of CO fractional systems, which is “almost” equivalent to the VO system in an appropriate sense and can replace the study of the initial problem (IP) for the VO fractional system with the study of IP for the one-parameter family of CO fractional systems. Using this approach, we prove theorems for the existence and uniqueness of a continuous solution of the considered IP for class linear systems with distributed delays and VO fractional derivatives of Caputo type and also for the prolongation of the solutions on the half-axis.
Section 4 is devoted to establishing the existence and uniqueness of fundamental matrix of the studied homogeneous system, and, as an application of the obtained results, we establish an integral representation of the solutions of the studied IP.
Section 5 contains conclusion and comments as well as some ideas for future research.
2. Preliminaries and Problem Statement
In the present section, to avoid possible misunderstandings, we recall the necessary definitions of CO and VO fractional integrals and the needed auxiliary definitions and facts used in our exposition throughout this paper. The problem statement and the related assumptions and conditions are also presented. For all details concerning the constant order CO fractional derivatives and other properties, we refer to [
19,
20]. Concerning the case of variable-order (VO) fractional derivatives and their properties, we refer to the remarkable works and surveys of [
8,
10,
12,
13].
Let
,
be arbitrary. Throughout the following, we say that for a class of functions
, some property holds locally if it is fulfilled on every compact subinterval
. The following notation will be used for the real linear spaces:
consisting of all locally Lebesgue integrable functions and the subspaces
of all functions which are locally bounded or have locally bounded variation, respectively. The left-sided fractional integral operators of constant order
, with
for any
, we define via the relation
and the corresponding left side Riemann–Liouville and Caputo derivatives via the equalities
for any
. For an arbitrary
,
, we define the VO left-sided fractional integral with the lower limit
via
and the VO left-sided Riemann–Liouville-type fractional derivatives via
and the Caputo-type VO derivative (see [
10,
16]) via the equality
When
(i.e.,
g is absolutely continuous), then
Consider the retarded fractional linear system with Caputo-type variable-order (VO) derivatives and distributed delays in the following general form:
where
,
,
,
,
(the notation
mean vector-column),
,
, where
,
,
,
,
denotes the left side VO derivative of Caputo type
,
,
.
The corresponding homogenous system of system (
1) described in detail has the form:
The following notations will also be used: , , , and are the zero vector, the identity and the zero matrices. For , and when , for any fixed and , then , is arbitrary, and we denote . denotes the real linear space of all continuous vector-functions and .
The spaces of initial functions are denoted as follows: (piecewise continuous); (piecewise continuous with bounded variation), (continuous) and (absolutely continuous). All these real linear spaces endowed with the sup-norm are Banach spaces. denotes the set of all jump points for any ; in addition, we will assume that they are right continuous at .
For an arbitrary
, we introduce the following initial condition for system (
1) or (
2):
Definition 1 ([
21,
22,
23]).
We say that for the kernels , the hypothesis ) holds if the following conditions are fulfilled for any :The functions are measurable in and normalized so that for , , for , , and .
For any fixed , the kernels are left continuous in θ on and the kernels uniformly in and For any fixed , the Lebesgue decomposition of the kernels has the form: where , and is the Heaviside function.
The sets do not have limit points, and for any the relations hold.
The function and has the representation , where is a right continuous step function, and with The set of all first kind jump points of is at most countable and does not have limit points in j.
Remark 1. Note that the condition () is inspired from physical aspects connected to rheology (the stress and/or strain leads to hysteresis-type reactions) but also leads to some mathematical advantages. So, from a practical point of view, we consider the case when the set is most countable and does not have limit points in J.
Theorem 1 ([
24], Krasnosel’skii’s fixed point theorem).
Let be a Banach space, be a nonempty, closed and convex subset of and the maps satisfy the following conditions:- (i)
The operator T is contraction with constant ;
- (ii)
The operator K is continuous, and the set K(H) is contained in a compact set;
- (iii)
For any , we have that .
Then, there exists with .
3. Main Results
In this section, we study the existence and the uniqueness of continuous solutions of IP (
1), (
3) without the additional assumption of them being absolutely continuous, which essentially simplifies the problem at least technically. The reason for this is the possible application in economics taking into account that the diagram of the stock courses is more similar to the Weierstrass function than to a smooth function. We propose an approach to convert the IP with VO to a system of integral equations which is more convenient for study, considering the fact that, in general, the fractional integral of VO is not the left inverse operator of the VO differential operator and vice versa.
Let
,
,
,
,
,
. Then, for any
, we have
, where
,
, and
is the indicator function of
(note that for any
, the sum is finite). The next lemma is an immediate generalization of Theorem 4 in [
16] and establishes a simple but important statement.
Lemma 1. Let the condition () hold.
Then, for any function for which , we have that at .
Proof. Let
be arbitrary. Then, for
,
, we have
It is well known that the
function on the real line has a minimum at
with
, and hence we have that
Since
, there exist constants
and
, such that for some
, we have that
for any
. Then, from (
4), for any
,
, taking into account that
, it follows that
which completes the proof. □
Definition 2. The vector function is a solution of IP (1), (3) or IP (2), (3) in , arbitrary, if , satisfies system (1) or (2), respectively, for all ), as well as the initial condition (3). Let us assume that
is a solution of IP (
1), (
3) for any
and denote
The aim of our considerations below is to find (establish) an one-parameter family of CO fractional systems which the function
satisfies for any
as well as the corresponding initial conditions for
, induced from the initial condition (
3) which the solution
satisfies.
Then, from (
3) it follows that for
satisfies the initial condition
and hence
.
Consider the function
, where
for
and
. In addition we define:
when
and
mean that
for any
. Then, from (
3) it follows that for any fixed
and
we have that
and hence it must satisfy the following initial condition for any fixed
and
Then, applying Lemma 1 we have
From (
1), (
7) for an arbitrary fixed
with
we obtain
where
, and hence
.
Using (
8) we introduce for any fixed
, arbitrary
and each
the following auxiliary system
Since according (
6) we have
for any
, then applying the operator
(note that
is a constant order) to both sides of (
9) for any fixed
and
we obtain
Taking into account (
5) we can rewrite (
10) in a more convenient form, in view of application of the Krasnosel’skii’s fixed point theorem MK [
24] as follow
where by
and
are denoted the second and the third addends in the right side of (
11). We will establish that
. Let
for some
and then we have
where
by virtue of conditions (
) and (
). Then, we conclude that
implies
. The relation
obviously holds.
Definition 3. The vector function is a solution of IP (11), (5) or IP (9), (5) in the interval , where be arbitrary, if for any fixed and for ), the function satisfies system (11) or (9), respectively, for any as well as the initial condition (5). Remark 2. Taking into account that the order of differentiation of system (8) is constant, then according to Lemma 3.3 in [25], each solution in J of IP (10), (8) in the sense of Definition 3 is a solution in J of IP (12), (8) and vice versa. So, with our consideration above, we proved the following statement.
Proposition 1. For any solution of IP (1), (3) with interval of existence , the function satisfies system (11) for every fixed and any with the initial condition (5) too and vice versa. Let , for any . Thus, without loss of generality, we can assume for simplicity in our exposition below that for and
Consider the real linear space
and for an arbitrary fixed
the real Banach spaces
and for any fixed
define the nonempty, closed and convex subsets
as follows:
which endowed with the metric function
for arbitrary
, are complete metric spaces. It is clear that for any
with
for any
, the restriction
.
For any
and every
and
, the operator
is defined via the equality:
where the initial condition
for
(i.e.,
satisfies the initial condition (
5)).
Theorem 2. Let the following conditions be fulfilled:
- 1.
The hypothesis hold.
- 2.
The function .
Then, for any IP (10), (5) has a unique solution with a interval of existence. Proof. Existence: Let
be arbitrary, and for any
using (14), we split the operator
in two parts
. The operators
and
are defined as follows:
and
satisfies the initial condition (
5) for any
, i.e.,
Since both integrands in the right sides of (
16) and (
17) by virtue of Conditions 1 and 2 of the Theorem are at least locally bounded and Lebesgue integrable functions, then both integrals in the right sides of (
16) and (
17) are continuous functions. So, since
,
, and hence
for any
, we have that
, and hence for any
,
,
and
are fulfilled.
The main obstacle is that Theorem 1 (Krasnosel’skii’s fixed point theorem) cannot be applied directly since for
the obtained system (
11) is degenerate in the sense that the operator
, which is defined pointwise, is not a contraction for
. To overcome this obstacle, we carried out a continuous prolongation of the fixed point of the operator
existing for all
so that the prolonged fixed point (as a continuous function) also satisfies system (
11) at
. Let
be arbitrary and define the sequence
,
. We will prove that
is a contraction map for any
. Indeed, for an arbitrary
and denoting
,
, we have that
and hence
For an arbitrary
from (
17), it follows that
and hence
Thus, we proved that the operator
is continuous. For an arbitrary fixed
and
, consider the ball
. For any
from (
17) and (
19), we obtain the estimation
which implies that the set
is uniformly bounded.
To apply Theorem 1, it must also be proved that the set is equicontinuous.
Let
be arbitrary, and for definiteness assume that
. For any
from (
17) and (
19), it follows that
and hence we obtain the estimation
Denoting
and taking into account that
is uniformly continuous at
, then for each
there exists
, such that if
, we have that
. Then, from (
20), for
, it follows that
and hence the set
is equicontinuous for any
. Thus, the Arzela–Ascoli theorem implies that the closure of the set
is compact. Thus, according to Theorem 1, it follows that for any
, there exists at least one
, such that for any
, we obtain that
. Then, for
, taking into account that
for any
are continuous functions and (
11), we obtain that there exists
for any
and
. Since
is arbitrary then passing to the limit
, we obtain that
and
for any
. Then, the function
is a solution of IP (
10), (
5) for any
. Note that according to (
10), we have that
, and hence
.
Uniqueness: Assume the contrary, that IP (
11), (
5) has two different solutions
and denote
. Then, from (
11), for any
it follows that
Let
be arbitrary, such that
, and then from (
20), we obtain
and denote
and
for any
. Then, Corollary 2 in [
26] implies that
, which contradicts our assumption. □
Theorem 3. Let the conditions of Theorem 2 hold.
Then, for any IP (11), (5) has a unique solution . Proof. Assume the contrary, that there exists a maximal solution
of IP (
11), (
5) with the interval of its existence
(which is closed from the right), and then we have that
. We consider the most difficult case when
for some
. Then, let
be arbitrary and define the Banach space
and the nonempty, closed and convex subsets set
As above,
endowed with the metric function
for any
is a complete metric space.
Consider the system (
11) for
,
and introduce the initial condition:
In the same way that the estimations (
18) and (
19) are established, for arbitrary
we obtain that
and from (
23) and (
24), we obtain that
We will choose
, such that
After elementary calculations, we obtain that (
26) is equivalent to the following inequality
which is obviously fulfilled when
is sufficiently small (note that if
, then
, and since
,
). Thus, choosing
, for which the inequality (
27) holds, we obtain that the operator
is a contraction map and has a unique fixed point
, and hence we obtain a prolongation of the maximal solution
, which is impossible. Then, we conclude that the interval of existence of the maximal solution
must be open from the right, i.e.,
.
Let us assume that
. Then, taking into account (
11) and (
12), we can conclude that passing to the limit when
, we obtain that system (
10) is fulfilled for
too, and hence we obtain a prolongation of the maximal solution
, which contradicts our assumption that
is the maximal solution of IP (
11), (
5). Thus, it follows that
, which completes the proof of the theorem. □
4. Fundamental Matrices and Integral Representation
In this section, we will apply the results from the former to prove the existence and uniqueness of the fundamental matrix of the studied homogeneous system (
2), and then using the fundamental matrices we will obtain integral representation of the solutions of the systems (
2) and (
1).
Let
be an arbitrary fixed point and denote
. Consider the matrix-valued function
, and let
be its j-th column. From Theorems 2 and 3, it follows that
for any
is the unique solution of IP (
2), (
3) for
and the initial function
when
and
for
. Thus, we call the matrix
the fundamental matrix (FM) of system (
2). Analogically, let
be an arbitrary fixed point and consider the matrix-valued function
with its
j-th column
for
. As above, by virtue of Theorems 2 and 3, we have that
for any
is the unique solution of IP (
2), (
3) in the interval
for the initial function
when
and
for
and is called the extended fundamental matrix (EFM) of (
2). It is clear that
if and only if
.
Remark 3. Since the columns and satisfy system (9), where the differentiation is of constant order, then according to Theorem 6 in [27], it follows that for any fixed and for any fixed are continuous when , have the first kind jump for , and at the jump points both limits and exist inclusively when . Theorem 7 in [27] implies that for any fixed , we have that for any fixed are continuous when has the first kind jump for , and at the jump points both limits and exist inclusively when . Let
be arbitrary and define the function
where
for
and
.
Theorem 4. Let the conditions of Theorem 2 hold.
Then, for an arbitrary , the function defined via (28) is the unique solution of IP (2), (3) for . Proof. The proof uses the same ideas as in [
24,
25], but we will present it because of some technical differences in the case of variable order differentiation. First, integrating by parts the equality (
28), we have
Then, from (
29) (see [
28], page 229, point 5) and the hypothesis (
), it follows that
and
. Thus, taking into account Lemma 1 and Remark 3 and applying the Fubini theorem for the left side of (
2), we obtain that
For the right side of (
2), applying again the Fubini theorem, we have
and hence from (
30) and (
31), it follows that
which ultimately holds since
is the EFM for system (
2).
We will establish that the function
defined via (
28) satisfies the initial condition (
3). Indeed, let
be arbitrary. Then, from (
27), it follows that
and hence
is the unique solution of the IP (
2), (
3) for
.
Consider for an arbitrary function
, the auxiliary system for
where
and then by virtue of Theorems 2 and 3 IP (
32), possesses a unique solution. □
Theorem 5. Let the conditions of Theorem 2 hold.
Then, for , the function defined via the equality is the unique solution of IP (1), (3) with the initial function . Proof. Substituting the function
in the left side of system (
1) and applying the Fubini theorem for any
and formula (2.1.40) in [
20], we have
where
.
For the second addend in the right side of (
34), we have
and then from (
34) and (
35), it follows for
that
Substituting the function
in the right side of system (
1) and applying again the Fubini theorem, we obtain for
that
taking into account that since
is the FM, then
. Then, from (
36) and (
37), it follows that
the equality of which ultimately holds for
, since
is the FM and
is the unique solution of IP (
32). □
Corollary 1. Let the conditions of Theorem 2 hold.
Then, for any , IP (1), (3) possess a unique solution with the following integral representation: Proof. The statement follows immediately from the superposition principle and Theorems 4 and 5. □
Example 1. It is well known that in all applications, even in the cases with integer order derivatives, the Lebesgue decomposition of the kernels with bounded variation does not include a singular term (see [23]). Consider the following system where the kernel of system (39) has the formi.e., substituting in (1), we will obtain system (39). It is simple to check that if , and , then all conditions of the hypothesis hold. Thus, all conditions of Theorem 2 hold, and applying Corollary 1, we obtain that for any IP (39), (3) has a unique solution , which possesses the integral representation (38):where , are the fundamental matrices of the corresponding homogeneous system of (39) (i.e., ), and is the unique solution of IP (32). 5. Conclusions and Comments
As already mentioned, the main obstacle in the study of fractional equations or systems including a VO integral and/or differential fractional operator is that, in general (without special additional conditions), the VO fractional differential operator is not left inverse of the corresponding VO integral operator. So, generally speaking, it is not possible to directly transform fractional equations or systems including a VO fractional operator into an equivalent Volterra-type integral equation or system with eventually a low singularity, which is the standard approach in the CO case.
As far as we know, VO delayed equations are studied for the existence and uniqueness of the solution only in the partial cases when the VO of differentiation
is either a step function (with finitely many jumps of the first kind [
18]) or a continuous function, mainly via numerical methods [
16]. These facts were the main reason for us to introduce another approach which considers that the general case with VO of differentiation
is a piecewise continuous function. Our approach consists of finding an associated one-parameter family of CO fractional systems which is “almost” equivalent to the VO system in the appropriate sense and can replace the study of the initial problem (IP) for the VO fractional system with the study of an IP for the one-parameter family of CO fractional systems. Using this approach, we prove theorems for existence and uniqueness of a continuous solution of the considered initial problem (IP) for a class linear systems with distributed delays and VO fractional derivatives of Caputo type as well as concerning the prolongation of the solutions on the half-axis.
In addition, we prove the existence and uniqueness of a fundamental matrix and an extended fundamental matrix of the studied homogeneous system. The presence of fundamental matrices allows us to establish integral representations of the solutions of the studied IP.
Notably, the obtained integral representation as well as and the presence of fundamental matrices can be used as main tools in future research of the stability behaviors of the studied systems.