General Explicit Solution of Planar Weakly Delayed Linear Discrete Systems and Pasting Its Solutions
Abstract
Planar linear discrete systems with constant coefficients and delays are considered where , m1, m2, …, mn are constant integer delays, 0 < m1 < m2 < ⋯<mn, A, B1, …, Bn are constant 2 × 2 matrices, and . It is assumed that the considered system is weakly delayed. The characteristic equations of such systems are identical with those for the same systems but without delayed terms. In this case, after several steps, the space of solutions with a given starting dimension 2(mn + 1) is pasted into a space with a dimension less than the starting one. In a sense, this situation is analogous to one known in the theory of linear differential systems with constant coefficients and special delays when the initially infinite dimensional space of solutions on the initial interval turns (after several steps) into a finite dimensional set of solutions. For every possible case, explicit general solutions are constructed and, finally, results on the dimensionality of the space of solutions are obtained.
1. Introduction
1.1. Preliminary Notions and Properties
The space of all initial data (3) with is obviously 2(mn + 1)-dimensional. Below, we describe the fact that, among system (1), there are such systems that their space of solutions, being initially 2(mn + 1)-dimensional, on a reduced interval turns into a space having a dimension less than 2(mn + 1). The problem under consideration (pasting property of solutions) is exactly formulated in Section 1.4.
1.2. Weakly Delayed Systems
Definition 1. System (1) is called a weakly delayed system if characteristic equations (5), (7) corresponding to systems (1) and (6) are equal, that is, if, for every λ ∈ ℂ∖{0},
Lemma 2. If system (1) is a weakly delayed system, then its arbitrary linear nonsingular transformation (9) again leads to a weakly delayed system (10).
1.3. Necessary and Sufficient Conditions Determining Weakly Delayed Systems
In the next theorem, we give conditions, in terms of determinants, indicating whether a system is weakly delayed.
Theorem 3. System (1) is a weakly delayed system if and only if the following 3n + n(n − 1)/2 conditions hold simultaneously:
Proof. We start with computing determinant D defined by (5). We get
Expanding the determinant on the right-hand side along summands of the first column, we get
Expanding each of the above determinants along summands of the second column, we have
After simplification, we get
Proof. (I) We show that assumptions (13)–(16) imply (23)–(25). It is obvious that condition (23) is equivalent to (13), (14). Now we consider
Now we consider
(II) Now we prove that assumptions (23)–(25) imply (13) and (16). Due to equivalence of (13) and (14) with (23), it remains to be shown that (23)–(25) imply (15) and (16).
If (24) holds, then, from computations in (27), we see that
Finally, we show that (23) and (25) imply (16). From (29) (using (23)) we get
1.4. Problem under Consideration
The aim of this paper is to give explicit formulas for solutions of weakly delayed systems and to show that, after several steps, the dimension of the space of all solutions, being initially equal to the dimension 2(mn + 1) of the space of initial data (3) generated by discrete functions φ, is reduced to a dimension less than the initial one on an interval of the form with an s > 0. In other words, we will show that the 2(mn + 1)-dimensional space of all solutions of (1) is pasted 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) is a weakly delayed system, then the corresponding characteristic equation has only two eigenvalues instead of 2(mn + 1) eigenvalues in the case of systems with nonweak delays. This explains why the dimension of the space of solutions becomes less than the initial one. The final results (Theorems 10–13) provide the dimension of the space of solutions. Our results generalize the results in [1, 2], where system (1) with n = 1 and n = 2 was analyzed.
1.5. Auxiliary Formula
Note that the formula (33) is used many times in recent literature to analyze asymptotic properties of solutions of various classes of difference equations, including nonlinear equations. We refer, for example, to [4–8] and to relevant references therein.
2. General Solution of Weakly Delayed System
If (8) holds, then (5) and (7) have only two (and the same) roots simultaneously. In order to prove the properties of the family of solutions of (1) formulated in the introduction, we will discuss each combination of roots, that is, the cases of two real and distinct roots, a pair of complex conjugate roots, and, finally, a double real root.
Although computations in Sections 1.2 and 1.3 were performed under assumption that λ ≠ 0, results of this part remain valid also if one or both roots of characteristic equation (7) are zero.
2.1. Jordan Forms of the Matrix A and Corresponding Solutions of Problem (1) and (3)
Next, we consider all four possible cases (36)–(39) separately.
2.1.1. Case (36) of Two Real Distinct Roots
- (I)
, , l = 1,2, …, n,
- (II)
, , l = 1,2, …, n.
In Theorem 5 both cases I, II are analyzed.
Theorem 5. Let (1) be a weakly delayed system and (35) has two real distinct roots λ1, λ2. If case (I) holds, then the solution of the initial problem (1), (3) is x(k) = Sy(k), , where y(k) has the form
Proof. If case (I) is true, then the transformed system (40) takes the form
From (56), (58), and (60) we deduce that expected form of the solution of the initial problem for with initial data derived from the solution of previous equation for is
We solve (54) for with initial data deduced from (61); that is, we consider the problem
Applying formula (33) yields (for )
In the end we solve (54) for with initial data deduced from (63); that is, we consider the problem
Applying formula (33) yields (for )
Summing up all particular cases (56)–(65) we have
Finally, we note that both formulas (47), (48) remain valid for . In this case, the transformed system (1) reduces to a system without delays. This possibility is excluded by condition (2).
2.1.2. Case (37) of Two Complex Conjugate Roots
Consequently, B*l = Θ, Bl = Θ.
Finally, we note that the assumption (2) alone excludes this case.
2.1.3. Case (38) of Double Real Root
Now we will analyse the two possible cases: and .
For the case , we have from (43), (44) that and or . For and , condition (46) gives , where l, v = 1,2, …, n and v > l. Then, from (43), (44) for l = v, we get and .
For and , condition (46) gives , where l, v = 1,2, …, n and v > l, then, from (43), (44) for l = v, we get and .
Now we discuss the case . From conditions (43), (44), we have and . This yields , and, from (75), we have , . By conditions (43), (44) for v = l, we get , .
- (I)
, ,
- (II)
, ,
- (III)
,
where l = 1,2, …, n.
2.1.4. Case
Theorem 7. Let (1) be a weakly delayed system, (35) has a twofold root λ1,2 = λ, and the matrix Λ has the form (38). Then the solution of the initial problem (1), (3) is x(k) = Sy(k), , where in case , y(k) has the form
Proof. Case (I) means that . Then (40) turns into the system
2.1.5. Case
Theorem 8. Let system (1) be a weakly delayed system, (35) admits two repeated roots λ1,2 = λ, and the matrix Λ3 has the form (38). Then the solution of the initial problem (1), (3) is given by x(k) = Sy(k), , where y(k) has the form
Proof. In this case, all the entries of B*l are nonzero and, from (43), (44), and (71), we get
Now we solve system (88) for ; that is, we consider the problem (with initial data deduced from (90), (91))
Now we solve (88) for ; that is, we consider the problem (with initial data deduced from (93), (94))
Applying formula (33) yields (for )
From (93)–(97) we deduce that expected form of the solution of the initial problem for with initial data derived from the solution of previous equation for is
We solve (88) for with initial data deduced from (98); that is, we consider the problem
Applying formula (33) yields (for )
In the end, we solve (88) for with initial data deduced from (100) and (101); that is, we consider the problem
Applying formula (33) yields (for )
Summing up all particular cases (90), (93), (96), (100), and (103) we have
2.1.6. Case (39) of a Double Real Root
Then (43), (44), and (107) give .
Theorem 9. Let (1) be a weakly delayed system, (35) has a double root λ1,2 = λ and the matrix Λ has the form (39). Then and the solution of the initial problem (1), (3) is x(k) = 𝒮y(k), y(k) = (y1(k), y2(k)) T, and
Proof. The system (40) can be written as
First we solve (113) for . This means that we consider the problem
Now we solve (113) for with initial data deduced from (115); that is, we consider the problem
Now we solve (113) for with initial data deduced from (117); that is, we consider the problem
From (115), (117), and (119) we deduce that expected form of the solution of the initial problem for with initial data derived from the solution of previous equation for is
We solve (113) for with initial data deduced from (120); that is, we consider the problem
Applying formula (33) yields (for )
In the end, we solve (113) for with initial data deduced from (122); that is, we consider the problem
Summing up all particular cases (115)–(124), we get
3. Dimension of the Set of Solutions
Since all the possible cases of the planar system (1) with weak delay have been analysed, we are ready to formulate results concerning the dimension of the space of solutions of (1) assuming that initial condition (3) is variable. Although case does not lead to a weakly delayed system and is excluded by (2), for completeness of analysis we incorporate such possibility in our analysis as well (such a case can be considered as a degenerated weakly delayed system). Before formulation we remark that if an assumption in the following theorem is assumed to be valid for a fixed index l ∈ {1,2, …, n}, it is easy to see that it must be valid for all indices l = 1,2, …, n.
Theorem 10. Let (1) be a weakly delayed system and let (35) having both roots different from zero and l ∈ {1,2, …, n} be fixed. Then the space of solutions, being initially 2(mn + 1)-dimensional, becomes on only
Proof. We will carefully go through all the theorems considered (Theorems 5–9) adding the case of a pair of complex conjugate roots and our conclusion will hold at least on (some of the statements hold on a larger interval).
(a) Analysing the statement of Theorem 5 (case (36) of two real distinct roots), we obtain the following subcases.
- (a1)
If , , then the dimension of the space of solutions on equals mn + 2 since the last formula in (47) uses only mn + 2 arbitrary parameters:
(126) - (a2)
If , , then the dimension of the space of solutions on equals mn + 2 since the last formula in (48) uses only mn + 2 arbitrary parameters:
(127) - (a3)
If , then and Theorem 5 is not applicable. The dimension of the space of solutions on equals 2 since the solution is determined only by 2 arbitrary parameters
(128) -
This means that all the cases considered are covered by conclusions (1)(a) and (2)(a) of Theorem 10.
(b) In case (37) of two complex conjugate roots, we have (i.e., we deal not with a weakly delayed system, as noted previosly) and the formula (70) uses only 2 arbitrary parameters
(c) Analysing the statement of Theorems 7 and 8 (case (38) of a double real root), we obtain the following subcases.
- (c1)
If , , then the dimension of the space of solutions on equals mn + 2 since the last formula in (76) uses only mn + 2 arbitrary parameters:
(130) - (c2)
If , , then the dimension of the space of solutions on equals mn + 2 since the last formula in (77) uses only mn + 2 arbitrary parameters:
(131) - (c3)
If (degenerated weakly delayed system), then the dimension of the space of solutions on equals 2and solutions are determined only by 2 arbitrary parameters:
(132) - (c4)
If , then the dimension of the space of solutions on equals mn + 2 since the last formula in (81) uses only mn + 2 arbitrary parameters:
(133) -
where
(134) -
The parameter cannot be seen as independent since it depends on the independent parameters and C(0).
All the cases considered are covered by conclusions (1)(b), (1)(c), and (2)(c) of Theorem 10.
(d) Analysing the statement of Theorem 9 (case (39) of a double real root), we obtain the following subcases:
- (d1)
If , , then the dimension of the space of solutions on equals mn + 2 since the last formula in (108) uses only mn + 2 arbitrary parameters:
(135) -
and the last formula in (109) provides no new information.
- (d2)
If (degenerated weakly delayed system), then the dimension of the space of solutions on equals 2 since solutions are determined only by 2 arbitrary parameters
(136) -
Both cases are covered by conclusions (1)(b) and (2)(c) of Theorem 10.
Since there are no cases other than cases (a)–(d), the proof is finished.
Theorem 10 can be formulated simply as follows.
Theorem 11. Let (1) be a weakly delayed system and let (35) have both roots different from zero, then the space of solutions, being initially 2(mn + 1)-dimensional, is on only
- (1)
(mn + 2)-dimensional if ,
- (2)
2-dimensional if .
We omit the proofs of the following two theorems since, again, they are much the same as those of Theorems 5–9.
Theorem 12. Let (1) be a weakly delayed system and let (35) have a simple root λ = 0, then the space of solutions, being initially 2(mn + 1)-dimensional, is either (mn + 1)-dimensional or 1-dimensional on .
4. Concluding Remarks
To our best knowledge, weakly delayed systems were firstly defined in [9] for systems of linear delayed differential systems with constant coefficients and in [1] for planar linear discrete systems with a single delay (in these papers such systems are called systems with a weak delay). The weakly delayed systems analyzed in this paper can be simplified and their solutions can be found in explicit analytical forms (results obtained generalize those in [1, 2]). Consequently, analytical forms of solutions can be used directly to solve several problems for weakly delayed systems, for example, problems of asymptotical behavior of their solutions, boundary-value problems, or some problems of control theory (using different methods, such problems have recently been investigated e.g., in [10–18]). For an alternative approach to differential-difference equations using the variational iteration method and new analytical and asymptotic methods see, for example, [19–21].
In the case of discrete systems of two equations investigated in this paper, to obtain the corresponding eigenvalues, it is sufficient to solve only a second-order polynomial equation rather than a polynomial equation of order 2mn.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
Acknowledgments
The first author was supported by Grant no. P201/10/1032 of the Czech Grant Agency (Prague). The second author was supported by Grant no. FEKT-S-14-2200 of the Faculty of Electrical Engineering and Communication, Brno University of Technology.