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Factorization of the linear differential operator
Advances in Difference Equations volume 2013, Article number: 237 (2013)
The paper deals with the problem of factorization of a linear differential operator with matrix-valued coefficients into a product of lower order operators of the same type. Necessary and sufficient conditions for the factorization of the considered operator are given. These conditions are obtained by using the integral manifolds approach. Some consequences of the obtained results are also considered.
MSC:34A30, 47A50, 47E05.
Factorization of differential and difference operators uses analogies between these operators and algebraic polynomials. There is a number of important papers on this subject, of which we only mention a few: [1–5].
A linear differential (difference) operator L admits factorization if it can be represented as a product of lower order operators of the same type (see [6–8]). Methods of factorization are exploited in analytic and algebraic approaches to the problem of integration of ordinary differential equations. Many special results are scattered over a large number of research papers; see, for instance, [9–12] and the references given therein.
In this paper, we focus on an n th order linear differential operator of the form
where we assume that () are real-valued matrices with the entries being continuous and bounded functions on ℝ and that I is the identity matrix.
Our purpose here is to give a proof that (1) can be presented as
We give the necessary and sufficient conditions for factorization of the above operator into the product of lower order factors and . These conditions are connected with the existence of solutions of linear vector differential equations. The results are obtained by the usage of integral manifolds approach in the form elaborated by Valeev in the work .
2 Splitting equations
Let us consider the linear differential equation of order n, formed by acting the operator (1) on a vector function Z:
where for .
The linear vector differential equation (3) can be written as an equivalent system of first-order equations of dimension mn. We let
In vector notation, we get that
where X is a vector function, Y is a vector function and
Note that the block matrices , , , are , , , matrices, respectively.
We recall here the following definition (see ).
Definition 2.1 The connected subset M of is called the integral manifold of system (4) if implies for all , where and are determined by (4) with , .
Suppose that the linear system of differential equations (4) has an integral manifold defined by the vector equation of the form
where is a real-valued matrix and X, Y satisfy (4) on ℝ, i.e., provided that (6) is satisfied for a certain , then it is valid for all .
By differentiation of (6) with respect to t, we get the vector differential equation of the form
From (4) and (7) it follows that
Let us note, that the matrix equation (8) is a Riccati-type matrix differential equation (see, for instance, ) and defines the integral manifold of the form (6). Assuming that the integral manifold of the form (6) does exist, the linear system (4) then reduces to
i.e., the linear subsystem splits off from the linear system of differential equations (4).
We shall seek for an integral manifold in the form (6), where is a block matrix
Substituting the matrices , and into (8), we obtain
We continue in this manner to obtain
or, in a compact form,
where (; ) are matrices.
Substituting and into (8), we have
The following theorem establishes the existence of an integral manifold of the linear differential equation (3).
Theorem 2.2 If there exists a solution of the system of splitting equations (10)-(13), then the linear vector differential equation (3) possesses the integral manifold of dimension mq, given by
Proof By virtue of formulas (5), system (9) takes the form
Differentiating each of the equations in (16) with respect to t, we get
for . Next, eliminating by (15) and taking into account (10) and (11), we get that
Differentiating (16) for and eliminating by (15), we get, by virtue of (12)-(13),
Substituting into (3) the derivatives () from (17) and (18), we obtain zero. This proves the theorem. □
3 Existence of the integral manifold of solutions
We consider the linear vector differential equation of order q, formed by acting , given by (2), on a vector function Z, of the form
with a property such that each solution Z of (19) is also a solution of (3) on ℝ. This means that Z has n derivatives on ℝ and matrices , are differentiable up to order p ().
The following result may be proved in much the same way as Theorem 2.2.
Theorem 3.1 If any solution of the linear differential equation (19) with coefficients bounded together with their derivatives up to order p satisfies (3) on ℝ, then the linear system of differential equations (4) has the integral manifold given by (6), where is a matrix.
Proof Let us rewrite the linear differential equation (19) in the form
We substitute an arbitrary but fixed solution Z of (20) into the differential equation (3). For this end, we differentiate (20) p times with respect to t. After each differentiation, we eliminate by (20) and we take into account (10)-(11). In this way we get (17). Similarly, taking into account (12)-(13), we obtain (18). Hence, the existence of solutions of the linear differential equation (19), all solutions of which are the solutions of (3), guarantees the existence of the integral manifold of the form (6) of the linear system (4) provided that all the derivatives up to the order p of matrices () are bounded. This is the desired conclusion. □
Example 3.3 Let us consider the differential equation of the fifth order
and the differential equation of the third order
with a property such that each solution Z of (22) is also a solution of (21). Rewrite the differential equation (22) in the form
Differentiating this equation two times and eliminating , we get
Indeed, substituting , , and from (23) and (24) into (21) yields
The linear differential equation (21) can be written as
The vector equation
determines the integral manifold of the system of differential equations (25). In fact, the matrix
is a solution of the matrix equation
Thus, the existence of an integral manifold of the form (6) for the linear system (4) is equivalent to the fact that any solution of (19) satisfies (3) as well.
4 Factorization of the operator
Let the linear vector differential equation (3) be written in the form (4). We assume that any solution of the differential equation (19) is a solution of (3). Then the linear system (4) has the integral manifold of the form (6).
In the linear system (4), let us substitute
is a vector for . From the linear system (4) and (26), we obtain
by (8), from (28) we get the splitting vector equation
which, for vectors (), can be written in the form
From (29) we have
and so on. It is easily seen that
for . Substituting () into (30), we obtain the vector differential equation of order p
After taking differentiation, equation (31) can be written as follows:
Hence, the differential equation (27) takes the form
where , . Eliminating in (32) , we get, for the vector function Z, the differential equation of order
or by (2)
for . Now our main result follows from (33) as the next theorem.
Theorem 4.1 The linear differential operator defined by (1) is factorized in the form
where and are given by (2), if and only if any solution of the linear vector differential equation (19) is a solution of the linear vector differential equation (3) on ℝ.
5 The case of constant coefficients
Let us consider the case when the linear differential equation (3) has constant coefficients. This case is known to be important from the point of view of applications. In this case, from Theorem 4.1 we conclude the following.
Theorem 5.1 The polynomial matrix
where is an nonsingular matrix, admits a factorization in the form
if and only if any solution of the linear vector differential equation
is a solution of the vector differential equation
From this we have the following corollary.
Corollary 5.2 The polynomial matrix
is a multiple of if and only if
Example 5.3 Consider the polynomial matrix
We look for a condition under which the factorization
is admissible. Taking the product, we get
Eliminating matrices , , we obtain the equation for the matrix C
On the other hand, the vector differential equation
has the fundamental matrix , which is a solution of the system under condition (34).
Remark 5.4 The main results of this paper were announced in .
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The authors declare that they have no competing interests.
The authors have achieved equal contributions to each part of this paper.