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# Factorization of the linear differential operator

*Advances in Difference Equations*
**volume 2013**, Article number: 237 (2013)

## Abstract

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.

## 1 Introduction

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 ${A}_{k}(t)$ ($k=0,1,\dots ,n-1$) are $m\times m$ real-valued matrices with the entries being continuous and bounded functions on ℝ and that *I* is the $m\times m$ identity matrix.

Our purpose here is to give a proof that (1) can be presented as

where $p+q=n$ and

We give the necessary and sufficient conditions for factorization of the above operator ${L}_{n}$ into the product of lower order factors ${L}_{q}$ and ${L}_{p}$. 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 [13].

## 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 $Z(t)\in {\mathbb{R}}^{m}$ for $t\in \mathbb{R}$.

The linear vector differential equation (3) can be written as an equivalent system of first-order equations of dimension *mn*. We let

Hence,

and

In vector notation, we get that

where *X* is a $qm\times 1$ vector function, *Y* is a $pm\times 1$ vector function and

Note that the block matrices ${A}_{11}$, ${A}_{12}$, ${A}_{21}(t)$, ${A}_{22}(t)$ are $qm\times qm$, $qm\times pm$, $pm\times qm$, $pm\times pm$ matrices, respectively.

We recall here the following definition (see [13]).

**Definition 2.1** The connected subset *M* of ${\mathbb{R}}^{mn+1}$ is called the integral manifold of system (4) if $({t}_{0},{X}_{0},{Y}_{0})\in M$ implies $(t,X(t),Y(t))\in M$ for all $t\in \mathbb{R}$, where $X(t)$ and $Y(t)$ are determined by (4) with $X({t}_{0})={X}_{0}$, $Y({t}_{0})={Y}_{0}$.

Suppose that the linear system of differential equations (4) has an integral manifold defined by the vector equation of the form

where $K(t)$ is a $pm\times qm$ real-valued matrix and *X*, *Y* satisfy (4) on ℝ, *i.e.*, provided that (6) is satisfied for a certain ${t}_{0}\in \mathbb{R}$, then it is valid for all $t\in \mathbb{R}$.

By differentiation of (6) with respect to *t*, we get the vector differential equation of the form

From (4) and (7) it follows that

or, equivalently,

Let us note, that the matrix equation (8) is a Riccati-type matrix differential equation (see, for instance, [14]) 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 $K(t)$ is a $pm\times qm$ block matrix

Substituting the matrices $K(t)$, ${A}_{11}$ and ${A}_{12}$ into (8), we obtain

We continue in this manner to obtain

or, in a compact form,

where ${K}_{sj}(t)$ ($s=1,\dots ,p-1$; $j=2,\dots ,q$) are $m\times m$ matrices.

Substituting ${A}_{21}(t)$ and ${A}_{22}(t)$ into (8), we have

where $j=2,\dots ,q$.

Equations (10)-(13) are called the splitting equations (see [13]). We can use them for construction of an integral manifold of the linear vector differential equation (3).

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*

*for* $t\in \mathbb{R}$.

*Proof* By virtue of formulas (5), system (9) takes the form

where $s=2,\dots ,p$.

Differentiating each of the equations in (16) with respect to *t*, we get

for $s=2,\dots ,p-1$. Next, eliminating ${D}^{q}Z(t)$ by (15) and taking into account (10) and (11), we get that

Differentiating (16) for $s=p$ and eliminating ${D}^{q}Z(t)$ by (15), we get, by virtue of (12)-(13),

Substituting into (3) the derivatives ${D}^{(s+q)}Z(t)$ ($s=1,\dots ,p$) 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 ${L}_{q}$, 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 ${C}_{k}(t)$, $k=0,1,\dots ,q-1$ are differentiable up to order *p* ($p+q=n$).

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* $K(t)$ *is a* $pm\times qm$ *matrix*.

*Proof* Let us rewrite the linear differential equation (19) in the form

where

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 ${D}^{q}Z(t)$ 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 ${C}_{k}(t)$ ($k=0,\dots ,q-1$) are bounded. This is the desired conclusion. □

**Remark 3.2** This kind of integral manifolds could be used in the investigation of stability of systems of difference equations (see [15, 16]).

**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 ${D}^{3}Z(t)$, we get

Indeed, substituting ${D}^{3}Z(t)$, ${D}^{4}Z(t)$, and ${D}^{5}Z(t)$ from (23) and (24) into (21) yields

The linear differential equation (21) can be written as

where

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 ${L}_{n}(t,D)$

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

where

is a $pm\times 1$ vector for $t\in \mathbb{R}$. From the linear system (4) and (26), we obtain

Since

by (8), from (28) we get the splitting vector equation

which, for vectors ${V}_{k}(t)$ ($k=1,\dots ,p$), can be written in the form

and

From (29) we have

and so on. It is easily seen that

for $s=2,\dots ,p$. Substituting ${V}_{s}(t)$ ($s=2,\dots ,p$) 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 ${C}_{i}(t)=-{K}_{1,i+1}(t)$, $i=0,1,\dots ,q-1$. Eliminating in (32) ${V}_{1}(t)$, we get, for the vector function *Z*, the differential equation of order $n=q+p$

or by (2)

for $t\in \mathbb{R}$. Now our main result follows from (33) as the next theorem.

**Theorem 4.1** *The linear differential operator* ${L}_{n}(t,D)$ *defined by* (1) *is factorized in the form*

*where* ${L}_{p}(t,D)$ *and* ${L}_{q}(t,D)$ *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* ${A}_{n}$ *is an* $m\times m$ *nonsingular matrix*, *admits a factorization in the form*

*where*

*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*
$sI-C$
*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 ${B}_{1}$, ${B}_{0}$, we obtain the equation for the matrix *C*

On the other hand, the vector differential equation

has the fundamental matrix $Y(t)={e}^{Ct}$, which is a solution of the system $L(D)Y(t)=0$ under condition (34).

**Remark 5.4** The main results of this paper were announced in [17].

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Janglajew, K.R., Valeev, K.G. Factorization of the linear differential operator.
*Adv Differ Equ* **2013, **237 (2013) doi:10.1186/1687-1847-2013-237

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### Keywords

- linear differential equations
- differential operator
- factorization
- integral manifold of solutions