Abstract
Using the ranks and Moore-Penrose inverses of involved matrices, in this paper we establish some necessary and sufficient solvability conditions for a system of Sylvester-type quaternion matrix equations, and give an expression of the general solution to the system when it is solvable. As an application of the system, we consider a special symmetry solution, named the -Hermitian solution, for a system of quaternion matrix equations. Moreover, we present an algorithm and a numerical example to verify the main results of this paper.
1. Introduction
In 1952, Roth [1] studied the following one-sided generalized Sylvester matrix equation for the first time
which is widely used in system and control theory. Since then, many researches have paid attention to Sylvester-type matrix equations (e.g., [2,3,4,5]) because of their wide range of applications, such as in descriptor system control theory [6], neural networks [7], robust, feedback [8], graph theory [9] and other areas. For instance, Baksalary and Kala [10] established a necessary and sufficient condition for Equation (1) to have a solution and gave an expression of its general solution. In [11], Baksalary and Kala give a solvability condition for the equation
Wang investigated Equation (2) over arbitrary regular rings with identity [12].
In 1843, the very famous mathematician Hamilton discovered the quaternion. It is well known that quaternion algebra, denoted by , is an associative and non-commutative division algebra over the real number field , where
Since the 1970s, quaternions and the quaternion matrix have been studied a lot (e.g., [13,14,15,16]). The widespread applications of quaternions and the quaternion matrix include theoretical mechanics, optics, computer graphics, flight mechanics and aerospace technology, quantum physics, signal processing and so on (e.g., [17,18,19,20]).
In the last decade, the study of Sylvester-type matrix equations was extended to (e.g., [21,22,23,24,25,26,27,28]). In 2012, Wang and He [29] presented the necessary and sufficient conditions for the Sylvester-type matrix equation
to be consistent and derived the expression of its general solution, which can be easily generalized to . For the Sylvester-type matrix equations with multiple variables and multiple equations, Wang [4] gave a solvability condition and the general solution to the system of Sylvester-type matrix equations
Zhang [30] investigated the necessary and sufficient conditions for the solvability of the following system of Sylvester-like matrix equations
and presented a formula of its general solution. We note that Equations (1)–(5) are the special cases of the following Sylvester-type quaternion matrix equations
where are given matrices over ; are unknown.
Motivated by the work mentioned above, in this paper we aim to investigate the solvability conditions and the general solutions to a more general system of a Sylvester-type quaternion matrix equation, Equation (6). In 2011, Took et al. [31] defined a special class of symmetric matrices, named -Hermitian. For , a quaternion matrix A is called -Hermitian if , where , is the conjugate and transpose matrix of A. It is well known that -Hermitian matrices have some applications in linear modeling (e.g., [32,33,34]) and so on.
As an application of (6), we derive the solvability conditions and an expression of the -Hermitian solution to the system of matrix equations
where are given matrices over ; X and Y are -Hermitian matrices over .
We organize the rest of this article as follows: In Section 2, we introduce the basic knowledge of quaternions and Moore-Penrose inverse of a quaternion matrix, and review some matrix equations. In Section 3, we establish the solvability conditions for the system of (6) in terms of the Moore-Penrose inverses and the ranks of the coefficients’ quaternion matrices in (6). In Section 4, we give an expression of the general solution to the system of (6), and illustrate the main results using a numerical example. In Section 5, we give some solvability conditions and an expression of the -Hermitian solution to the system (7). Finally, we present a brief conclusion in Section 6 to end this paper.
2. Preliminaries
Let and stand for the real number field and the set of all matrix spaces over the quaternion algebra, respectively. The symbols , , I and 0 are denoted by the rank of a given quaternion matrix A, the conjugate transpose of A, an identity matrix, and a zero matrix with appropriate sizes, respectively. The Moore-Penrose inverse of is defined to be the unique matrix, denoted by , satisfying
Moreover, and represent two projectors. Clearly, and of A.
The following lemma was given by Marsaglia and Stynan [35], which is also available over .
Lemma 1
([35]). Let and . Then,
Lemma 2
([36]). Let and be known matrices with feasible dimensions over . Then, the matrix equation has a solution if and only if . In this case, its general solution is expressed as
where is an arbitrary matrix of an appropriate size.
Lemma 3
([36]). Let and be known matrices with allowable dimensions over . Then, the matrix equation has a solution if and only if . In this case, its general solution is
where is an arbitrary matrix of an appropriate size.
Lemma 4
([37]). Let and be the given matrices. Then, the system of matrix equations
is consistent if and only if
In this case, its general solution is
where is an arbitrary matrix of an appropriate size.
Lemma 5
Lemma 6
([38]). Consider the following matrix equation over
where , B are given and the others are unknown. Let
Then, the following statements are equivalent:
Equation (8) is consistent.
In this case, the general solution to Equation (8) can be expressed as
where ; represents any matrix with appropriate dimensions over ,
where , , , , , , and are any matrix with appropriate dimensions over .
3. Solvability Conditions to the System (6)
The goal of this section is to give the necessary and sufficient conditions for the existence of a solution to system (6).
Theorem 1.
Let and . Set
Then, the following statements are equivalent:
System (6) has a solution.
(22) holds and
Proof.
The proof is divided into three parts:
We can obtain the results from the following steps: First, we consider the solvability conditions and the expression of the general solutions to the system of the matrix Equation (36).
In this case, the general solution to system (36) can be written as
where are arbitrary matrices over with appropriate sizes.
Step 2. Substituting in (42) into (37) yields (39). According to Lemma 5, it follows that Equation (39) has a solution if and only if
In this case, the general solution to Equation (39) can be expressed as
where and are any matrix with appropriate sizes over .
Substituting (45) into yields
Step 3. By substituting in (42) and Z in (46) into (38), we obtain Equation (40). By using Lemma 6, Equation (40) is consistent if and only if
namely,
In this case, the general solution to Equation (40) can be expressed as
where are any matrix with suitable dimensions over ,
where , , , , , , and are any matrix with suitable dimensions over .
To sum up, the system of matrices of Equation (6) has a solution if and only if (41), (43) and (47) hold.
We divide it into three parts to prove its equivalence.
Part 1. In this part, we prove that (41) holds if and only if (24) and (25) hold. According to Lemma 1, it is easy to show that (41) holds if and only if (24) and (25) hold.
Part 2. In this part, we prove that (43) ⟺ (26). It follows from Lemma 1 and elementary operations that
Part 3. In this part, we show that (47) holds if and only if (27) to (35) hold. By using Lemma 6, (47) holds if and only if (48) to (56) hold. Hence, we only show that (48) to (56) hold if and only if (27) to (35) hold, respectively. We first prove that (48) ⇔ (27).
Note that
are the special solution to the equations
respectively. Then, we have that
4. The General Solution to the System (6)
In this section, we give an expression for the general solution of Equation (6) by using the Moore-Penrose inverse. According to the proof of Theorem 1, we obtain the following theorem:
Theorem 2.
The general solution to system (6) can be expressed as follows when the solvability conditions are met:
where , are arbitrary matrices with appropriate sizes.
where , , , , , , and are arbitrary matrices over of appropriate sizes.
Next, we discuss the special cases of the system of matrices of Equation (6). Letting and vanish yields the following:
Corollary 1.
Suppose that and are given, denote
Then, the following statements are equivalent:
System (5) is consistent.
In this case, the general solution to system (5) can be expressed as
where are arbitrary matrices over with appropriate sizes.
Remark 1.
The above corollary is from the important findings of [30].
Letting and vanish, we have the following:
Corollary 2.
Given and of feasible dimensions over . Set , and Then, the following statements are equivalent:
System (4) is consistent.
.
In this case, the general solution to system (4) can be expressed as
where and are arbitrary matrices over of appropriate sizes.
Remark 2.
The above corollary is from the vital investigation of [4].
Finally, we give Algorithm 1 and an example to illustrate the main results of this paper.
| Algorithm 1: Algorithm for solving Equation (6) |
| (1) Feed the values of with conformable shapes over . |
| (2) Compute the symbols in (9) to (21). |
| (3) Check (22), (23) or rank equalities in (24) to (35) hold or not. If no, then return “inconsistent”. |
| (4) Otherwise, compute . |
Example 1.
Consider the matrix of Equation (6). Assume
Computing directly yields
All rank equations hold. Thus, according to Theorem 1, the system of matrix equations has a solution, and the general solution to the system can be expressed as
5. The General Solution to the System (7) with -Hermicity
As an application of the results of system (6), we study the necessary and sufficient conditions for system (7) to have a solution involving -Hermicity and derive a formula of its general solution, where are -Hermitian matrices.
6. Conclusions
We established the solvability conditions for system (6) by using the Moore-Penrose inverses and ranks of the coefficient quaternion matrices in (6), and derived a formula of its general solution when it is solvable. In terms of applications, we derived the necessary and sufficient conditions for system (7) to have an -Hermitian solution as well as the expression of the general solution. In addition, we used an algorithm and a numerical example to verify the main results of this paper. It is worth noting that the main results of (6) are available not only for and , but also any division ring. Moreover, inspired by [39], we can investigate the system (6) tensor equations over the quaternion algebra.
Author Contributions
Methodology, R.-N.W. and Q.-W.W.; software, R.-N.W. and L.-S.L.; writing—original draft preparation, Q.-W.W. and R.-N.W.; writing—review and editing, Q.-W.W., R.-N.W. and L.-S.L.; supervision, Q.-W.W.; project administration, Q.-W.W. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by National Natural Science Foundation of China (11971294) and (12171369).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors have declared that there is no conflict of interest.
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