1. Introduction
It is well known that many mathematical models of real world phenomena can be described more accurately through fractional derivative formulation. For more details on fractional calculus theory and fractional differential equations, we recommend the monographs of Kilbas et al. [
1] and Podlubny [
2]. For distributed order fractional differential equations see Jiao at all [
3] and for an application-oriented exposition Diethelm [
4]. Impulsive differential and functional differential equations with fractional derivative and some applications are studied by Stamova and Stamov [
5].
The theme of the integral representation (variation of constants formula) of the solutions of linear fractional differential equations and/or systems (ordinary or with delay) is an “evergreen” theme for research. This explains why a lot of papers are devoted to different aspects of this problem. For linear fractional ordinary differential equations and systems, we refer the works [
1,
2,
6,
7,
8,
9,
10] and the references therein. Relatively, as far as we know, there are not many works devoted to the variation of constants formula for delayed linear fractional systems [
11,
12,
13,
14,
15]. The case of neutral fractional systems is studied in [
16,
17,
18,
19,
20].
The establishment of a fundamental matrix with appropriate properties (for example in [
21] smoothness is obtained) is the basis for obtaining any integral representation and is a key tool in the study of different types of stability of linear and nonlinear disturbed systems (see [
20]).
In the present work, we consider linear fractional systems with distributed delays and incommensurate order derivatives in the Caputo sense. The first goal of the work is to establish sufficient conditions for existence and uniqueness of a fundamental matrix 
, which is absolutely continuous in 
t on every compact subinterval of 
. The second one is to clarify the analytic properties in 
s, which are very similar to these in the integer case. As an application of the obtained results, some results concerning the integral representation of the solutions given in [
15,
18] are improved.
The paper is organized as follows. In 
Section 2 we recall the definitions of Riemann–Liouville and Caputo fractional derivatives with some of their properties. In the same section is the statement of the problem, as well as some necessary preliminary results used later. 
Section 3 is devoted to the existence and the uniqueness of the solutions of the Initial Problem (IP) for linear fractional systems with distributed delays and incommensurate order derivatives in the Caputo sense and special type discontinuous initial function. In 
Section 4 the existence and uniqueness of an absolutely continuous fundamental matrix is proved und its analytical properties are studied. Using the obtained results, in 
Section 5 we establish new integral representations for the solutions of the studied systems.
  2. Preliminaries and Problem Statement
For readers convenience, below we recall the definitions of Riemann–Liouville and Caputo fractional derivatives as well as some needed properties. For details and other properties we refer to [
1,
2,
3].
Let 
 be an arbitrary number and denote by 
 the linear space of all locally Lebesgue integrable functions 
. Then for each 
, each 
 and 
 the definitions of the left-sided fractional integral operator, the left side Riemann–Liouville and Caputo fractional derivatives of order 
 and some properties are given below (see [
1]):
If 
 then the next formula gives a direct definition of the Caputo left side derivative:
Everywhere below, the following notations will be used: , ,  denote the identity and zero matrix, respectively,  denotes the k-th column of the identity matrix and  is the zero element.
For  we will use the notations , for  we denote  and for simplicity we will use the notation  for the left side Caputo fractional derivative.
Consider the homogeneous linear delayed system of incommensurate type and distributed delay in the following general form
      or described in more detailed form
      
      and the corresponding nonhomogeneous one
      
      where 
 .
Definition 1. A function  is called piecewise absolutely continuous on some interval  (denoted ), if it is with bounded variation (BV) in t on J, there is no singular term in the Lebesgue decomposition of  and the set of discontinuity points of the function  has no limit points in J.
 Definition 2. With  we denote the Banach space of right continuous vector functions  with norm  and the subspace of all absolutely continuous functions by , i.e., .
 The set of jump points of every initial vector function  we denote by . We emphasize that the set  is finite for every compact interval  and the case  is not excluded.
For the system (
1) or (
2) introduce the following initial conditions:
We say that for the kernel  the conditions (S) hold, if the following conditions are fulfilled:
- (S1)
- The functions  are measurable in  and normalized so that for  when  and  for all ,  and  for . 
- (S2)
- The Lebesgue decomposition of the kernel  -  for  -  and  -  has the form: - 
          where  - ,  -  are locally bounded on  - ,  -  is the Heaviside function, the delays  -  are bounded with  - ,  -  and  -  are continuous from left in  -  on  - ,  - .  
-  are locally bounded on  and . 
- (S3)
- There exists a locally bounded function  such that  for  and for every  the following relations hold: . 
- (S4)
- The sets  for every  do not have limit points. 
Consider the following auxiliary system in matrix form
      
      where 
, or for 
 in more detailed form
      with the initial condition (
3).
Definition 3. The vector function  is a solution of the IP (
2) 
and (
3) 
or IP (
3) 
and (
4) 
in  if  satisfies the system (
2)
, respectively, (
4) 
for all  and the initial condition (
3) 
for each .
  In virtue of Lemma 3.3 in [
15] every solution 
 of IP (
2) and (
3) is a solution of the IP (
3) and (
4) and vice versa.
We will need a slightly modified version of the Weissinger generalization of the Banach’s fixed point theorem for complete metric spaces (see [
22], Fixpunktsatz, p. 195).
Theorem 1. Let Ω be a complete metric space with metric  and let the following conditions hold:
- 1. 
- There exists a sequence , with . 
- 2. 
- The operator  satisfies for each  and for arbitrary  the inequality 
Then T has a uniquely fixed point  and for every  we have that .
 Remark 1. This modification of the Weissinger generalization of the Banachs fixed point is not new. It is used in [23] and in the case when Ω 
is a Banach space in [24]. It is clear that the original Weissinger proof is correct for the presented variant too, with elementary modifications.  Let  be an arbitrary real Banach space.
Definition 4 ([25]). 
The function  is called a regulated function if it has one-sided (left and right) limits at every point .
 Remark 2. If , where  is an arbitrary compact interval and  is a regulated function, then it is assumed that in the left (right) end on the interval  the function  has only a right (left) limit.
 Theorem 2 ([25]). Let  be an arbitrary function.
Then a necessary and sufficient condition for  to be a regulated function is that  must in every compact interval  be a limit of n uniformly convergent sequence of step-functions (i.e., with respect to the supremum norm ).
 Theorem 3 ([26]). Let  and  be arbitrary fixed numbers and the following conditions hold:
- 1. 
- The functions  for some . 
- 2. 
- The function  for some  and is nondecreasing. 
- 3. 
- For every  is fulfilled . 
Then for  the following inequality holds  Remark 3. Note that the statement of Theorem 3 is proved in the partial case , but with small modifications the proof will be correct for arbitrary .
   3. Existence and Uniqueness of the Solutions
Let it be that for every 
 consider the corresponding linear space
      
For each 
 define the set
      
      where 
 is arbitrary and define a metric function 
 with
      
      for each 
.
Since 
 then for every 
, according to a well-known result we conclude that 
 is a complete metric space concerning the metric
      
It was a very strange for us that we could not find a result from which the statement of the next lemma directly follows.
Lemma 1. For every  the set  is a complete metric space concerning the metric  too.
 Proof.  Let  be an arbitrary fixed number and consider an arbitrary Cauchy sequence , i.e., . It is clear that there exists a vector valued function  such that .
Let 
 and 
 be arbitrary numbers. There exist 
 and 
 such that for every 
 we have that 
 for each 
. Since 
 then there exists 
, such that for every finite sequence of pairwise disjoint subintervals 
, 
 with 
 the inequality 
 holds. Then whenever when 
 we have that
        Thus 
 for every 
 and the statement is proved.    □
 Remark 4. It must be noted that the statement of the next theorem cannot be obtained directly as a corollary from analogical results for the considered initial problems in [15,18,23].  Theorem 4. Let the following conditions hold:
- 1. 
- Conditions (S) hold. 
- 2. 
- The function  is arbitrary. 
Then the IP (
1) 
and (
3) 
has a unique absolutely continuous solution in the interval  for every .  Proof.  In the proof of this theorem we will use the approach introduced in [
23].
Let 
 and 
 be arbitrary. From (
5) in the case 
 for 
 we obtain the system
For every  define the operator 
 via the operators 
 for 
 by
        
        and the following additional condition:
        
Since 
 is PAC, the conditions (S) imply that for each 
, the functions 
 are at least piecewise continuous on the interval 
 (see [
27], Lemma 1). Then the right side of (
7) is absolutely continuous on the interval 
, which implies that the function 
 is absolutely continuous on the same interval and since 
 for 
, then 
. Thus the operator 
ℜ maps 
 into 
.
Since according to Lemma 1 the space  is a full metric space concerning the metric , it is enough to check that for the operator ℜ the conditions of Theorem 1 hold and then in virtue of Theorem 1 we will obtain that the operator ℜ has a unique fixed point in .
We recall that the , has a local minimum at , where it attains the value . There exists  such that  and for every  we denote with  that number for which .
Let denote 
 and let 
 be arbitrary. Then from (
7) for 
 and every 
 we obtain
Let assume that for some 
 and for every 
 the inequality
        
        holds. Obviously from (
9) it follows that the inequality (
10) holds for each 
 and every 
 at least for 
. Denoting for simplicity 
 we obtain
Let us assume that (
10) holds for each 
, every 
 and for some 
. Then a similar way as in (
9) from (
10) and (
11) we obtain
Substituting 
 in the integral in the right side of (
12) and using the well-known relation between the gamma and beta functions we obtain
        and hence (
10) holds for every 
 , for each 
 and every 
.
For 
 from (
10) and (
13) it follows that
        
        and denote 
 for 
.
For all 
 from (
10) and (
13) we obtain that
        and denote 
 for 
.
Consider the one parameter Mittag–Leffler function 
. It is simply to see that the series 
 is convergent because it is the considered Mittag–Leffler function evaluated at 
. Then we have that
        and then from Theorem 1 it follows that the IP (
1) and (
3) has a unique solution in 
.    □
 Corollary 1. Let the conditions of Theorem 4 hold.
Then the IP (
1) 
and (
3) 
has a unique absolutely continuous solution in the interval .  Proof.  Let 
 be arbitrary and assume the contrary, that there exists 
 such that the solution 
 in the interval 
 does not possess a prolongation. Let 
 be an arbitrary number. In virtue of Theorem 4 the IP (
1) and (
3) has a unique absolutely continuous solution 
 in the interval 
. The solution 
 obviously is a prolongation of the solution 
, which contradicts of our assumption that 
.    □
 For arbitrary fixed 
 consider the following auxiliary system
      
      with the following condition
Corollary 2. Let the following conditions hold:
- 1. 
- Conditions (S) hold. 
- 2. 
- The function  has the form 
Then for each  and arbitrary  the problem (
16) 
and (
17) 
has a unique solution, which satisfies Equation (
16) 
for , the condition (
17) 
for  and is absolutely continuous in  with a first kind jump at .  Proof.  Let 
 be an arbitrary fixed number, introduce the system
        
        and consider the IP (
17) and (
18). Since Theorem 4 is proved for arbitrary 
 and 
 for arbitrary 
 is PAC on the interval 
, then from Theorem 4 it follows that the IP (
17) and (
18) possess a unique solution 
 and moreover, from (
17) it follows also that 
. Then for every 
 we have
        and hence 
 satisfies the Equation (
16) for 
 and the condition (
17) for 
.
Let consider an IP with Equation (
16) for 
 and initial condition 
 for 
. Then obviously 
 is its unique solution in 
. This completes the proof.    □
   4. Fundamental Matrix
Let 
 be an arbitrary fixed number and define the following matrix valued function 
 with
      
      and denote 
.
For arbitrary fixed number 
 consider the following matrix IP
Definition 5. The matrix valued function  , is called a solution of the IP (
19) 
and (
20) 
in  if  is continuous for  and satisfies the matrix Equation (
19) 
on  as well as the initial condition (
20) 
too.  Remark 5. Practically in condition (
20) 
we need only the values of  for , but for convenience we define  also for . Then  is prolonged as continuous in t function on .  Theorem 5. Let the conditions (S) hold.
Then for every initial point , the matrix IP (
19) 
and (
20) 
has a unique absolutely continuous solution  in the interval .  Proof.  The statement of the Theorem follows immediately from Corollary 2.    □
 Definition 6. The matrix , which is a solution of the IP (
19) 
and (
20)
, will be called fundamental (or Cauchy) matrix for the homogeneous system (
1)
.  Lemma 2. Let the conditions (S) hold and the matrix valued function  is the fundamental matrix of the system (
1)
. Then for every  the matrix function  is locally bounded in s for  and  .
 Proof.  Let  be an arbitrary fixed number,  be arbitrary and consider the fundamental matrix . According to Remark 5 for  we have that  for  and .
Taking into account Theorem 5 and Corollary 2 it is easy to be seen, that the unique solution 
 of IP (
19) and (
20) is a solution of the equation
Introduce for every 
 the notations: 
 (since 
 for 
), 
 and then from (
21) it follows
        and hence for each 
From Theorem 3 and (
22) for 
 we obtain the estimation
        
        and thus 
 is locally bounded in 
s for 
 and 
.    □
 Theorem 6. Let the conditions (S) hold and the matrix valued function  be the fundamental matrix of system (
1)
. Then for every fixed  the matrix function  is continuous for  when , for  possess first kind jumps and hence is Lebesgue integrable in s on  for each .
 Proof.  Let  be an arbitrary fixed number,  be arbitrary and consider the fundamental matrix . According to Remark 5 for  we have that  for  and . In virtue of Theorem 2 and Lemma 2 it is enough to prove that  has left and right limits for each  and there exist the limits  and .
- (i)
- Let  be arbitrary and let . Then it is simply to see that for every . Note that for  we have that  holds. 
- (ii)
- Let  be arbitrary and let . Then  and since , then we can conclude that  exists and hence  has jumps of first kind on the line  for each . 
- (iii)
- Let . Then we have to consider two cases: either   (left limit in ) or  with  (right limit in ). 
- (iii.a)
- For purposes of clarity we assume that  - . According to Corollary 2 for each  - , the IP ( 16- ) and ( 17- ) has unique solutions  -  and  -  for the initial functions  -  and  - , respectively. 
Taking into account that 
 and subtracting both sides of (
24) from the corresponding sides of (
23) we obtain
Let us denote 
 and 
 (
 exists according to Lemma 2) and 
. Then for each 
 and 
 from (
25) we obtain that
Define for  the function  .
It is simple to see that the function 
p is monotonically decreasing in 
 for 
 when 
. Furthermore, for arbitrary fixed 
 we have that
Then from (
26) and Theorem 3 it follows that for each 
 and 
 we obtain the following estimation:
From (
27) and (
28) it follows that 
 and hence 
 exists and 
 for 
.
- (iii.b)
- The case when  and  can be treated fully analogically to obtain that  exists and . 
□
 Let 
 be an arbitrary fixed number and define the following matrix valued function 
 with
      and consider following IP:
Theorem 7. Let the conditions (S) hold and  be arbitrary.
Then the following statements hold:
- 1. 
- The matrix IP-  ( 29- )  and-  ( 30- )  has a unique absolutely continuous solution  in t for  for every .
 
- 2. 
- The matrix function  is continuous in s for each  with . 
- 3. 
- When  with ,  possess first kind jumps and hence is Lebesgue integrable in s on . 
 Proof.  - 1.
- Let  be an arbitrary fixed number. Then since  is PAC for each , then the statement of point 1 follows from Theorem 4. 
- 2.
- Let  with . Then if  we have that . Consider the case . Then the same way as in the proof of point (iii) of Theorem 6 we obtain that  is continuous in s when . 
- 3.
- Let  with . Then obviously  and  and this completes the proof. 
□
   5. Applications
We will demonstrate that the obtained results concerning the fundamental matrix allow to improve the integral representation of the solution of the IP (
2) and (
3) and simplify the proofs.
As usual according the superposition principle we will seek a solution of IP (
2) and (
3) with initial condition 
 for the case when the function 
 is locally bounded.
Let
      where 
.
Theorem 8. Let the following conditions hold.
- 1. 
- The conditions (S) hold. 
- 2. 
- The function  is locally bounded and . 
Then the vector function  defined by equality (
31) 
is a solution of IP (
2) 
and (
3) 
with initial condition .  Proof.  From (
31) and Theorem 5 it follows that 
 is an absolutely continuous function in 
. Then we have that
Taking into account (
31) and (
32), Lemma 2.5 in [
1], Condition 2 of the Theorem and applying Fubini’s theorem we obtain
For the right side of (
33) we have
        
        and then the statement of the corollary follows from (
33) and (
34).    □
 Corollary 3. Let the following conditions hold.
- 1. 
- The conditions (S) hold. 
- 2. 
- The function  is locally bounded and . 
Then the vector function  defined by equality (
31) 
is a solution of IP (
2) 
and (
3) 
with initial condition .  Proof.  For 
 with 
 is fulfilled
        
Then the proof is the same as in Theorem 8.    □
 Let 
 be a solution of the IP (
29) and (
30) for 
. For arbitrary function 
 define the following function:
Theorem 9. Let the following conditions hold.
- 1. 
- The conditions (S) hold. 
- 2. 
- The initial function  is not a constant and has finitely many jumps. 
Then the function  defined with (
35) 
is the unique solution of IP (
1) 
and (
3).
        
  Proof.  Let 
 be an arbitrary fixed number and 
. Then in virtue of Theorem 6 for every 
 the matrix function 
 is continuous in 
s on 
 for 
 and when 
 possess first kind jumps. Thus we have that for 
 from (
30) it follows that 
 and for 
 we have 
. Then 
 and hence 
 satisfies the initial condition (
3).
Theorem 7 implies that the matrix valued function 
 is an absolutely continuous function for 
 and then the vector valued 
 is defined by equality (
35) too. Then we have
        and hence applying the Fubini’s theorem we have that
        
In the right side of (
1) for each 
 applying the unsymmetric Fubini theorem [
28] we obtain that
From (
36) and (
37) it follows that
        and hence 
 satisfies (
1) for 
.    □
 Theorem 10. Let the following conditions hold.
- 1. 
- The conditions of Theorem 9 hold. 
- 2. 
- The function  is locally bounded. 
- 3. 
- Either  or  holds. 
Then the functionwhere  and  are defined by (
31) 
and (
35)
, respectively, is the unique solution of IP (
2) 
and (
3)
.  Proof.  The statement of the theorem follows immediately from the superposition principle, Corollary 3 and Theorems 8 and  9.    □
 Corollary 4. Let the following conditions hold.
- 1. 
- The conditions of Theorem 10 hold. 
- 2. 
- The Lebesgue decomposition of the function  does not include a singular term. 
Then the function  defined by (
38) 
possesses the following integral representation:where  and  are the jump term and the absolutely continuous term, respectively, in its Lebesgue decomposition and the summation is taken over all jump points .  Proof.  The statement of the corollary follows immediately from Theorem 10.    □
 One of the important questions that arise when we use a fundamental matrix is what kind are its analytical properties concerning the variable s. It is well known that for the integer-order linear differential systems without delay, this problem is fully solved, i.e., both variables are symmetric. Generally speaking, this is not true even in the integer case for the delayed differential systems (the symmetry disappears for the non-autonomous systems and in some cases for the autonomous systems too). As far as we know there are no results in this direction for delayed non-autonomous fractional differential systems. The next result is a first attempt to establish some analytical properties of the fundamental matrix in the mentioned case concerning the variable s.
Theorem 11. Let the conditions of Theorem  9 hold and the matrix valued function  is the fundamental matrix of the system (
1)
. Then for every fixed  the matrix function  for every fixed  is absolutely continuous in s for every compact subinterval  with .
 Proof.  Let  be an arbitrary fixed number,  be arbitrary and .
- (i)
- When  then for the fundamental matrix  according to Remark 5 for arbitrary  we have that  and . Thus  has jumps of first kind for  and  is absolutely continuous in s for . 
- (ii)
- Let  -  and  -  be an arbitrary fixed number. For purposes of clarity we assume that  -  with  - . Then as in the proof of Theorem 6 we obtain that ( 25- ) holds for  -  and introduce the same notations used there. 
Since the function 
 is monotonically decreasing in 
 for 
 then in a similar way as in the proof of Theorem 6 for each 
 from (
25) we obtain that
        when 
. Then we can conclude that 
 for each 
 is 
-Hoelder continuous in 
s in every closed subinterval 
 with 
. Thus 
 is absolutely continuous in 
s for 
.
- (iii)
- Let  -  and  - . Then as in the former case we conclude that ( 40- ) holds and then  -  for each  -  is  - -Hoelder continuous in  s-  for every closed subinterval  -  for which  - . Thus  -  is absolutely continuous in  s-  for every compact subinterval  - . 
□
 Remark 6. It is not difficult to see that under the conditions of Theorem 11 the statement of the theorem holds for  too.
 Corollary 5. Let the following conditions hold.
- 1. 
- The conditions of Theorem 9 hold. 
- 2. 
- The Lebesgue decomposition of the function  does not include a singular term. 
- 3. 
- The delays  for  and . 
Then the unique solution  of IP (
1) 
and (
3) 
defined with (
35) 
has the following representation:  Proof.  From conditions 1 and 2 of the theorem it follows that in virtue of Corollary 4 the unique solution 
 of IP (
1) and (
3) defined with (
35) has the representation:
        
Let 
 be an arbitrary fixed number and 
 be an arbitrary compact subinterval. Condition 3 of the theorem implies that for arbitrary fixed number 
 the set 
 is finite. Then according Theorem 11 for arbitrary fixed number 
, 
 is absolutely continuous in 
s for every compact subinterval 
. Then integrating by parts the integral in (
42) we obtain:
Then the statement of the corollary follows from (
42) and (
43).    □
   6. Conclusions
In this article, first the existence and uniqueness of the solutions of an initial problem for linear differential systems with incommensurate order Caputo fractional derivatives and with piecewise absolutely continuous (PAC) initial function is proved.
Then we prove the existence and uniqueness of an absolutely continuous fundamental matrix , which has the following properties:
-  is absolutely continuous in t for PAC initial functions; 
-  is absolutely continuous in s (with appropriate additional assumptions). 
It must be noted that when the fundamental matrix is absolutely continuous in t and in s, the fundamental matrix has integrable derivatives in t and in s and this allows simpler and more applicable formulas to be obtained in the integral representations, as well as simpler and shorter proofs.
As far we know there are no other articles where such properties of the fundamental matrix 
 concerning the variable 
s for delayed non-autonomous fractional differential systems are obtained. A brief comparison with similar fundamental matrix studies shows that the same system was studied in [
15], but there is proof of existence of a continuous fundamental matrix, which is only continuous in 
t for initial functions with bounded variation. Our result is more general than that obtained in [
21] where the smoothness of the fundamental matrix is proven.
Finally, using the properties of the fundamental matrix thus obtained, integral representations are obtained in the paper for the particular solution of the inhomogeneous system with zero initial conditions and for the general solution of the homogeneous system.
A comparison, for example, with the integral representations obtained in [
15] shows, that all the proofs are shorter and the obtained formula for the general solution of the homogeneous system is simpler and more applicable.
A general comparison with the analogous results for integer order derivatives shows that those obtained in the article results coincide with them at , which means that they are a generalization of the classical ones.
We hope that the results obtained will be useful both for future research and generalizations from a mathematical point of view, as well as for modeling of real-world phenomena.