# Construction of the General Solution of Planar Linear Discrete Systems with Constant Coefficients and Weak Delay

- J. Diblík
^{1}Email author, - D. Ya. Khusainov
^{2}and - Z. Šmarda
^{1}

**2009**:784935

**DOI: **10.1155/2009/784935

© J. Diblík et al. 2009

**Received: **19 January 2009

**Accepted: **30 March 2009

**Published: **16 April 2009

## Abstract

Planar linear discrete systems with constant coefficients and weak delay are considered. The characteristic equations of such systems are identical with those for the same systems but without delayed terms. In this case, the space of solutions with a given starting dimension is pasted after several steps into a space with dimension less than the starting one. In a sense this situation copies an analogous one known from the theory of linear differential systems with constant coefficients and weak delay when the initially infinite dimensional space of solutions on the initial interval on a reduced interval, turns (after several steps) into a finite dimensional set of solutions. For every possible case, general solutions are constructed and, finally, results on the dimensionality of the space of solutions are deduced.

## 1. Introduction

### 1.1. Preliminary Notions and Properties

where with . We will investigate only the case since the solution of (1.1) for is given by the known formula for .

*existence*and

*uniqueness*of the solution of the initial problems (1.1) and (1.2) on are obvious. We recall that the

*solution*of (1.1) and (1.2) is defined as an

*infinite sequence*

such that, for any , equality (1.1) holds.

The space of all initial data (1.2) with is obviously -dimensional. Below we describe the fact that, among the systems (1.1), there are such systems that their space of solutions, being initially -dimensional, on a reduced interval turns into a space having dimension less than .

### 1.2. Systems with Weak Delay

Definition 1.1.

with , . We show that the property of a system to be the system with weak delay is preserved by every nonsingular linear transformation.

Lemma 1.2.

If the system (1.1) is a system with weak delay, then its arbitrary linear nonsingular transformation (1.8) again leads to a system with the weak delay (1.9).

Proof.

is assumed.

### 1.3. Necessary and Sufficient Conditions Determining the Weak Delay

In the forthcoming theorem, we give conditions, in terms of determinants, indicating whether a system is a system with weak delay or not.

Theorem 1.3.

Proof.

conditions (1.13) are both necessary and sufficient.

Remark 1.4.

### 1.4. Problem under Consideration

The aim of this paper is to show that the dimension of the space of all solutions, being initially equal to the dimension of the space of initial data (1.2) generated by discrete functions , is, after several steps, reduced (on an interval of the form with an ) to a dimension less than the initial one. In other words, we will show that the -dimensional space of all solutions of (1.1) is reduced to a less-dimensional space of solutions on . This problem is solved directly by explicitly computing the corresponding solutions of the Cauchy problems with each of the cases arising being considered. The underlying idea for such investigation is simple. If (1.1) is a system with weak delay, then the corresponding characteristic equation has only two eigenvalues instead of eigenvalues in the case of systems with nonweak delay. This explains why the dimension of the space of solutions becomes less than the initial one. The final results (Theorems 2.5–2.8) provide the dimension of the space of solutions.

### 1.5. Auxiliary Formula

Throughout the paper, we adopt the customary notation for the sum: where is an integer, is a positive integer and, " " denotes the function considered independently of whether it is defined for indicated arguments or not.

## 2. Results

If (1.7) holds, then (1.4) and (1.6) have only two (and the same) roots simultaneously. In order to prove the properties of the family of solutions of (1.1) formulated in Section 1.4, we will separately discuss all the possible combinations of roots, that is, the cases of two real and distinct roots, a couple of complex conjugate roots, and, finally, a two-fold real root.

### 2.1. Jordan Forms of Matrix and Corresponding Solutions of The Problem (1.1), (1.2)

with where is the initial function corresponding to the initial function in (1.2).

Below we consider all four possible cases (2.3)–(2.6) separately.

Assuming that the system (1.1) is a system with weak delay, the system (2.7), due to Lemma 1.2, is a system with weak delay again.

#### 2.1.1. The Case (2.3) of Two Real Distinct Roots

Since , (2.10), (2.12) yield . Then, from (2.11), we get , so either or .

Theorem 2.1.

Proof.

Now, taking into account (2.9), the formula (2.13) is a consequence of (2.19) and (2.25). The formula (2.14) can be proved in a similar way.

Finally, we note that both formulas (2.13) and (2.14) remain valid for as well. In this case, the transformed system (2.7) reduces to a system without delay.

#### 2.1.2. The Case (2.4) of Two Complex Conjugate Roots

#### 2.1.3. The Case (2.5) of Two-Fold Real Root

From (2.10), (2.11), and (2.30), we get . Now we will analyse the two possible cases: and .

Theorem 2.2.

Proof.

System (2.33) can be solved in much the same way as the systems (2.15) and (2.16) if we put , and the discussion of the system (2.34) copies the discussion of the systems (2.17) and (2.18) with . Formulas (2.31) and (2.32) are consequences of (2.13) and (2.14).

Theorem 2.3.

Proof.

Formula (2.36) is now a direct consequence of (2.43) and (2.35).

#### 2.1.4. The Case (2.6) of Two-Fold Real Root

Formulas (2.47), (2.49) can be used in the case as well. In this way, the ensuing result is proved.

Theorem 2.4.

Let (1.1) be a system with weak delay, (2.2) admit two repeated roots , and the matrix has the form (2.6). Then and the solution of the initial problems (1.1) and (1.2) is , where , is defined by (2.49) and by (2.47).

### 2.2. Dimension of the Set of Solutions

Since all the possible cases of the planar system (1.1) with weak delay have been analysed, we are ready to formulate results concerning the dimension of the space of solutions of (1.1) assuming that initial conditions (1.2) are variable.

Theorem 2.5.

- (1)
- (2)

Proof.

- (a)Analysing the statement of Theorem 2.1 (the case (2.3) of two real distinct roots) we obtain the following subcases.
- (a1)
- (a2)
- (a3)

- (a1)

- (b)

- (c)Analysing the statement of Theorems 2.2 and 2.3 (the case (2.5) of two-fold real root), we obtain the following subcases.
- (c1)
- (c2)
- (c3)
- (c4)

- (c1)

The parameter cannot be seen as independent since it depends on the independent parameters and .

- (d)Analysing the statement of Theorem 2.4 (The case (2.6) of two-fold real root), we obtain the following subcases.

Both cases are covered by conclusions (1b) and (2c) of Theorem 2.5.

Since there are no cases other than the above cases (a)–(d), the proof is finished.

Theorem 2.5 can be formulated simply as follows.

Theorem 2.6 (Main result).

- (1)
- (2)

We omit the proofs of the following two theorems since again, they can be done in much the same way as Theorems 2.1–2.4.

Theorem 2.7.

Let (1.1) be a system with weak delay and let (2.2) have a simple root . Then the space of solutions, being initially -dimensional, is either -dimensional or -dimensional on .

Theorem 2.8.

Let (1.1) be a system with weak delay and let (2.2) have a two-fold root . Then the space of solutions, being initially -dimensional, turns into -dimensional space on , namely, into the zero solution.

## 3. Concluding Remarks

To our best knowledge, weak delay was first defined in [4] for systems of linear delayed differential systems with constant coefficients. Nevertheless, separate particular examples can be found in various books concerning delayed differential equations. Let us summarize the advantage of investigating "weak" delayed systems in the plane. Such systems can be simplified and their solutions can be found in a simple explicit analytical form. In the case of ordinary differential systems with delay, to obtain the corresponding eigenvalues, it is sufficient to solve only a polynomial equation rather than a quasipolynomial one. In the case of discrete systems of two equations investigated in this paper in the "weak" case, to obtain the corresponding eigenvalues, it is sufficient to solve only polynomial equation of the second order rather than a polynomial equation of th order. Note that results obtained can be directly used to investigate such asymptotic problems as boundedness or convergence of solutions (using different methods, such problems have recently been investigated, e.g., in [5–11]).

## Declarations

### Acknowledgments

The first author was supported by the Grant 201/07/0145 of Czech Grant Agency (Prague), by the Council of Czech Government MSM 00216 30503 and MSM 00216 30519. The third author was supported by the Council of Czech Government MSM 00216 30503 and MSM 00216 30529.

## Authors’ Affiliations

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