1. Introduction
There are many different ways of defining fractional operators, unlike in classical calculus, where there is only one way to define the derivative operation. The most common derivatives are Riemann–Liouville and Caputo derivatives, which were successfully used in the modeling of complex dynamical processes in physics, biology, engineering and many other fields [
1,
2,
3,
4,
5].
Among the other definitions of fractional calculus, we can mention Hilfer, Riesz, Hadamard, Erd’elyi-Kober, Atangana–Baleanu, Katugampola, fractional conformable derivatives, and many others [
2,
6,
7,
8,
9].
It should be noted that questions related to the theorems of existence and uniqueness of solutions of Cauchy-type and Dirichlet-type problems for linear and nonlinear differential equations of fractional order have been developed in sufficient detail, whereas explicit solutions are only known for certain types of linear differential equations of fractional order.
One of the most widely used methods for constructing solutions to differential equations of fractional order is the method of integral transformations. A detailed description of this method can be found in [
2,
4,
5] and other works. An effective method for constructing explicit solutions and solving the Cauchy problem for differential equations of fractional order is based on the Mikusinski operational calculus. In the papers of Yu. Luchko et al. [
10,
11,
12,
13,
14,
15], this method was applied to solve linear differential equations of fractional order with constant coefficients and with derivatives of Riemann–Liouville and Caputo type and the general fractional derivative. This method was later used for a general equation with a Hilfer-type operator [
16]. In the paper [
17] A. Pskhu formulated and solved the initial problem for linear ordinary differential equations of fractional order with Riemann–Liouville derivatives. He reduced the problem to an integral equation and constructed an explicit solution in terms of the Wright function. We also note that in [
18,
19] the Cauchy problem for differential equations of fractional order has been studied using the Adomian decomposition method.
In this paper, we consider an operator method for constructing solutions to fractional differential equations. This method is based on the construction of normalized systems with respect to operators of fractional differentiation. The method of normalized systems was introduced in [
20] and used to construct exact solutions to the Helmholtz equation and the polyharmonic equation. The method of normalized systems was used to solve the Cauchy problem for ordinary differential equations with constant coefficients [
21], as well as to construct solutions to differential equations associated with Dunkl operators [
22,
23]. Later, in [
24,
25,
26,
27], this method was applied to the construction of an explicit form of solution of fractional differential equations.
Let us first consider the definition of fractional-order integro-differentiation operators that will be used in this paper.
Let
For function
, we define the operator
In case
, this operator corresponds to an integral operator of the form
Let
and
. In [
8], the following integro-differential operators were considered:
In case
, operator
coincides with the integration operator of the
order in the Riemann–Liouville sense, whereas
and
coincide with the differentiation operators of the
order in the Riemann–Liouville and Caputo sense [
2].
It should be noted that the methods for solving fractional differential equations with derivatives
and
have been studied by many authors, in particular, in works [
28,
29,
30,
31,
32].
In [
28] the theorem on the existence of a unique solution to the Cauchy problem is proved by the method of successive approximations. In [
29], using the generalized integral Laplace transform for the case
, explicit solutions to the following Cauchy problems were constructed
Similar results were obtained in [
30,
31,
32].
The use of differential equations of fractional order with derivatives
and
in the modeling of biological processes (fractional analogue of the Bergman model), electrical circuits, motion of electrons under the action of the electric field (fractional analogue of the Drude model), as well as in the analysis of applied dynamic models (Rabinovich–Fabrikant attractor), is described in [
33,
34,
35,
36,
37].
Further, in the work of A.A. Kilbas and M. Saigo [
38], on the basis of the formula for the composition of operators of integration of fractional order with a three-parameter Mittag–Leffler function
, an algorithm for solving an integral equation of the type
was obtained.
In this paper (
Section 3), this result is generalized for integral equations with the operator
. In this case, the solution to the integral equation is constructed by a constructive method, i.e., by the method of normalized systems, and it is proved that the solution to the integral equation is represented in terms of Mittag–Leffler-type functions
. The solution to the integral equation is constructed in a closed form when the right-hand side of the equation is a quasi-polynomial. In the particular case of parameters of the considered integral operator, the results obtained in this work agree with the results obtained in [
38].
In
Section 4 of this work, the method of normalized systems is used to construct solutions to iterated differential equations of fractional order. In contrast with our work [
25], in this case, fractional-order differential equations with degeneration are considered. The construction of solutions to such equations has not been studied by other authors. It should be noted that in constructing solutions to these equations, a new class of special functions
, representing a more general form of three-parameter Mittag–Leffler-type functions
, arises.
In the fifth and sixth sections of the work, application of the method of normalized systems to the construction of an explicit solution of one class of fractional-order differential equations with operators
and
is considered. Homogeneous and inhomogeneous equations are studied. The considered equations and, therefore, the results obtained, generalize the results obtained in [
30,
31,
32], as well as the results obtained in the work of A.A. Kilbas and M. Saigo [
39].
At the end of the section, an example of solving an equation for electrical circuit simulation is given.
Further, we present some well-known information about the method of normalized systems.
Let
and
be linear operators, acting from the functional space
X to
Let functions from
X be defined in a domain
Let us give the definition of normalized systems [
20].
Definition 1. A sequence of functions is called normalized with respect to on having the base if, on this domain, the following equality holds:
If is a unit operator, then a system of functions normalized with respect to is called normalized with respect to , i.e.,
If then the system of functions is just called normalized.
The main properties of the systems of functions
f-normalized with respect to the operators
on
have been described in [
20]. Let us consider the main property of the
f-normalized systems.
Proposition 1. If a system of functions is normalized with respect to on , then the functional series , is a formal solution of the equation:
The following proposition allows us to construct an normalized system with respect to a pair of operators .
Proposition 2 ([
27]).
If for there exists a right inverse operator , i.e., , where E is a unit operator and , then a system of functions is normalized with respect to a pair of operators on . 3. Construction of a Solution to an Integral Equation
Let
. Let us consider in the domain
the following integral equation
It should be noted that for the case of the Riemann–Liouville operator, i.e., for
, integral Equation (
9) was studied in [
38]. In this work, in the case when
, based on the properties of a special Mittag–Leffler type function
an algorithm for constructing a solution to Equation (
9) was proposed for the cases when
is a polynomial or a quasi-polynomial. The properties of the function
were also studied in [
39,
40,
41,
42].
In our case, to construct a solution to Equation (
9), we use the method of normalized systems. For this purpose, we introduce the notations
and
, where
is the unit operator. Then, Equation (
9) can be rewritten in the form (
4).
Let
. Let us denote
and
It is known (see, for example, [
8]) that the operator
is bounded from the space
to the space
, and therefore, for each
, an inclusion
occurs.
Hence, the system of functions
from (
11) is
f-normalized with respect to the pair of operators
.
The following assertion is valid.
Theorem 1. Let , and be defined by equality (11). Then, the function is a solution to Equation (9) from class . Proof. Let
. Then, formally applying operators
and
to the series (
11), we have
Hence, function
from (
12) formally satisfies Equation (
9). It remains to study the convergence of series (
11). For this, let us estimate functions
.
In the general case, using the method of mathematical induction, one can prove that the inequality
is satisfied. Then,
This implies an absolute and uniform convergence of series (
12) and the inclusion
. The theorem is proved. □
Now, let us construct explicit solutions of Equation (
9) for particular cases of function
.
Theorem 2. Let and , where is a real number. Then, the solution to Equation (9) is the function Proof. Under the conditions of this theorem, system (
11) can be written as
Find the explicit form of
. For
, we get
In the general case, for an arbitrary
, we get
Hence, for the solution of Equation (
9), we obtain representation (
13). The theorem is proved. □
Corollary 1. Let and , where is a real number. Then the solution to Equation (9) is written as Remark 1. For case representation (14) was obtained in [38]. Corollary 2. Let and , where is a real number. Then, the solution to Equation (9) is written aswhere is a Mittag-Leffler type function [2]. 4. Construction of Solutions for Homogeneous Fractional Differential Equations
Let
. Let us introduce the notations
. Consider in the domain
a differential equation of the type
where
is one of the operators
or
.
Let
. If we introduce the notations
, Equation (
15) can be rewritten in the form (
4), and to construct a solution to this equation we have to construct a 0-normalized system with respect to operators
. In this case, we will use the method proposed in [
25].
Definition 2 ([
25]).
Operator is called generalized-homogeneous of the μ order with respect to the variable t, ifwhere is a real number, is a constant. Let
and
be a generalized-homogeneous operator of order
. Let us suppose that operator
can be applied to the monomial
. Based on equality (
16), we introduce the following coefficients
Let us assume that .
From (
17) it follows that for coefficients
the equalities
hold.
Let
. Consider the function
where
.
Theorem 3. Let the series (18) converge and the operator can be applied term-by-term to it. If there exist such values of parameter s for which the equality , then functions for all such values of parameters and for all satisfy the equation From equalities (
6) and (
7) it follows that operators
and
are generalized-homogeneous of order
with respect to
. Let us construct function (
18) for these operators.
First consider the case for operator . Let and .
As in case (
17), consider the coefficients
By virtue of equality (
7) for
, we get
By analogy with (
18), we construct the functions
Further, as
and
then, introducing notations
for coefficients
we get:
If we now change the index
k to
, we finally obtain the equality
Hence, function
in (
20) satisfies the representation
Thus, the following assertion is valid.
Theorem 4. Let , . Then, in case of operator solutions of Equation (15) are the functions We can similarly transform the functions
from (
21). We get
where function
is defined by the equality
Theorem 5. Let , . Then, in case of operator solutions to Equation (15) are the functions>
Remark 2. Note that for , we get . In addition, the equality holds: Solutions to differential equations with the operator are constructed in a similar way.
The following assertion is valid.
Theorem 6. Let , . Then in case of operator solutions to Equation (15) are the functions Remark 3. For case this theorem was proved in [39], and for the case it was proved in [25]. 5. Construction of Solutions to Inhomogeneous Differential Equations of Fractional Order
In this section, we consider a method for constructing a solution to inhomogeneous differential equations of fractional order with operators and .
Let
. Consider the equation
Let us introduce the notations
. Then Equation (
23) can be rewritten in the form (
4).
First, we construct a solution to the homogeneous equation. To do this, we will construct 0-normalized systems with respect to the pair of operators
. From Proposition 2, it follows that for this purpose, it is necessary to find all solutions of the equation
and the right inverse for the operator
. By the proposition of Lemma 3, the right inverse to the operator
is the operator
, and by virtue of equality (
8), linearly independent solutions of the equation
are functions
.
Let
. Consider a system of functions
Let us find an explicit form of the system of functions .
The following assertion is valid.
Lemma 4. For functions equalities holdwhere Proof. By virtue of equality (
8), we get
Hence, for function
, we obtain
Further, let equality (
25) hold for a natural number
r. Then, for
, we get
Thus, equality (
25) also holds for the case
. Obviously, for the given values of parameters
, for any
, the inequality
is satisfied. The lemma is proved. □
Let
and consider functions
where
is a complex number.
If, in equality (
26)
, then
and
Moreover, for
the following equality holds:
i.e., these coefficients coincide with the expansion coefficients of the function
with the indices
. It was shown in [
30] that the coefficients of the function
satisfy the asymptotic estimate
from whence it follows that the function
is an integral function.
Let us introduce the notation
and rewrite coefficients
as
Further, from the asymptotic estimate
it follows that
from equality (
27) it also follows that they are integral functions.
Lemma 4 and Proposition 2 imply the following lemma.
Lemma 5. Let . Then for all values the system of functions (25) is 0-normalized with respect to the pair of operators in the domain . Using the main property of normalized systems, we obtain the following assertion.
Theorem 7. Let Then, for all values the functionsare linearly independent solutions of the homogeneous Equation (23) where . Proof. Since function (
27) is an integral function, it is obvious that
and
for
. Therefore, functions
from (
28) are solutions to the homogeneous Equation (
23). The proof of the linear independence of solutions (
28) will be shown below in Theorem 11. The theorem is proved. □
Corollary 3. Let the conditions of Theorem 7 be satisfied and Then, the solutions to the homogeneous Equation (23) are represented as Corollary 4. Let the conditions of Theorem 7 be satisfied and Then, the solutions of the homogeneous Equation (23) are represented as Further, we will consider a method for constructing a solution to the inhomogeneous equation. Let
. Then, by the proposition of Lemma 3, the function
satisfies the equality
Lemma 6. Let . Then the system of function (29) is -normalized with respect to the pair of operators in the domain . Proof. Let
, then
Further, we use the notation
. Then
From the latter estimate, it follows that
Hence, for any
, the estimate is valid:
Let us calculate the value of the function
. Due to equality (
25), we get
Hence, for any
the relation
and estimates
are valid. Moreover,
where
As
, then
also belongs to class
and the equality is satisfied:
It is obvious that
. Thus, in the class of functions
, the equalities
hold, i.e., system (
29) is
normalized with respect to the pair of operators
The lemma is proved. □
Theorem 8. Let , and function are defined by equality (29). Then, the functionis a particular solution of Equation (23) from the class . Proof. Let us estimate the series (
31). By virtue of estimate (
30), we have
As the latter series converges uniformly in the domain , the sum of this series, and hence the function , belong to class . The theorem is proved.
Let us investigate the representation of function (
31) for some special cases of function
. □
Lemma 7. Let . Then, the particular solution of Equation (23) is written as Proof. In this case, for
from (
29), we get
The lemma is proved. □
This lemma implies the following assertion.
Theorem 9. Let . Then the particular solution of Equation (23) is written as Remark 4. In case representation (32) of a particular solution of Equation (23) coincides with the result of [27]. Further, let us investigate the following Cauchy-type problem
where
are real numbers. First, let us consider the homogeneous problem (
33), (
34).
Theorem 10. Let . Then, the solution to the Cauchy problem (33), (34) exists, is unique, and can be represented as Proof. Let
. According to Theorem 7, function
in (
35) is a solution to Equation (
33). Let us show that
satisfies the initial conditions (
34). For function
we have
Hence, for function
we get
The theorem is proved. □
From Theorem 10 the following theorem can be derived.
Theorem 11. Functions from (28) are linearly independent. Proof. For functions we introduce an analogue of Wronskian: .
As in the case of the theorem for linear differential equations of order n, the following statement can be proved. □
Lemma 8. For solutions to Equation (33) be linearly independent, it is necessary and sufficient that at a point . According to (
36) we get
and, hence, according to the lemma, the solutions
to Equation (
33) are linearly independent. The theorem is proved.
Theorems 9 and 10 imply the following assertion.
Theorem 12. If , then the solution to the Cauchy problem (33), (34) exists, is unique, and can be represented as Corollary 5. Let the conditions of Theorem 12 be satisfied and . Then, the solution to the Cauchy problem (33), (34) is represented as In case
the obtained representation of the solution coincides with Formula (65) in the work of A.A. Kilbas and M. Saigo [
39].
Remark 5. If , then it is not difficult to find an explicit form of the system from (29). Indeed, in this case, by virtue of Formula (31) from [
28], the equality
is valid and thus
In the simple case when from the last formula and from the statement of Theorem 10 the following assertion follows.
Corollary 6. Let be a smooth function. Then, the solution to the Cauchy problem In particular, for we get This formula for
and
was obtained in [
30].
In conclusion, we will consider an example of applying the results obtained to the equation in the theory of electrical circuits.
Example 1. Let . Consider the following Cauchy problemwhere are given as real numbers, is an unknown function. By virtue of Formula (37), the solution to problem (42) is the function If , the solution to problem (42) is represented as If , then Equation (42) coincides with the differential equation of motion of electrons in metals (the Drude model), considered in [29]. In this case, function (43) will be written as Asfunction (44) coincides with Formula (40) obtained in [29]. Remark 6. Similar investigations can be carried out for the equation with the operator .