Abstract
By using the maximal and minimal ranks of some generalized Schur complement, the equivalent conditions for the reverse order law are presented.
Keywords:
reverse order law; generalized inverse; maximal and minimal ranks; generalized Schur complement; matrix product MSC:
47A05; 15A09; 15A24
1. Introduction
At first, we will provide some definitions for the convenience of readers.
Definition 1
([1,2]).
- : the set of complex matrices;
- , : the range space and the null space of A, respectively;
- , : the rank and the conjugate transpose of A, respectively;
- : the weighted conjugate transpose matrices of A with positive-definite Hermitian matrices M and N.
Definition 2
([3]). Let M be a positive-definite Hermitian matrix and let , . The aim of the so-called weighted least squares problem [WLS] is to find that satisfies the following:
where , is a spectral norm, and is a weighted norm.
Definition 3
([2]). Let , and let M and N be two positive-definite Hermitian matrices. X is the weighted Moore–Penrose inverse of A when it satisfies
where X is denoted by . Set’s -inverses of A are .
The reverse order law for the weighted generalized inverse has been widely applied in the study of the WLS (see [4,5,6]), the weighted perturbation theory (see [7,8,9,10,11,12]), the optimization problems and other related topics (see [13,14,15,16,17,18]).
The reverse order laws for the weighted generalized inverses of matrix products have attracted considerable attentions (see [19,20,21,22,23,24,25,26,27,28]). It is well known that the core problem here concerns the reverse order law, which depends on what conditions the equations
hold, where .
The purpose of this paper is to show some equivalent conditions for the following reverse order law:
Furthermore, the equivalent conditions for the inclusions
and
are presented.
The following lemmas are essential in the rest of this paper.
Lemma 1
([2,4]). Let M and N be two positive-definite Hermitian matrices, and let . Then,
Lemma 2
([17]). Suppose that A, B, C and D are four complex matrices, and suppose that M and N are two positive-definite Hermitian matrices. Then,
Lemma 3
([29]). Let X and Y be two arbitrary matrices, and let . Then,
The contents of this paper are organized as follows: In Section 2, we first present the equivalent conditions for Inclusions (3) and (4) using the maximal and minimal ranks of the generalized Schur complement and completions of partial matrices. Then, applying these results, we study the reverse order law (2). At last, in Theorem 3, we obtain necessary and sufficient conditions for the reverse order law (2) via rank conditions of known matrices.
2. Main Results
To obtain the main results (Theorem 3), we need present the minimal rank of the generalized Schur complement .
Lemma 4.
Let M, N, and K be three positive-definite Hermitian matrices, and let , , . Then,
Proof.
It is well known that , where , and V is an arbitrary matrix (see [17]). Combining this fact, we have
where , , , and the matrices V and W are arbitrary. Applying Lemma 3, we have
The next step is to use block matrix operations to simplify the rank of the right-hand side of (14). For the first one, combining and , we have
From Definition 1, we have , and
and
That is,
Substituting Formula (16) into (15), we have
For the second partitioned matrix of the right-hand of (14), we have
Similarly to (16), we have
and
That is,
Substituting Formula (19) into (18), we have
Substituting and into the third block matrix in (14), we have
This is because
and
Then,
That is,
For the fourth partitioned matrix on the right-hand of (14), we have
Using Definition 1, we obtain
and
That is,
Substituting Formula (25) into (24), we have
For the fifth block matrix in (14), via the row or column elementary block matrix operations and , , and , we have
From Definition 1, we have
That is,
Substituting Formula (28) into (27), we have
For the sixth block matrix in (14), using the same method as above, we have
From Definition 1, we have
and
That is,
Substituting Formula (31) into (30), we have
For the seventh partitioned matrix in (14), using the same method as above with , and , we have
From Definition 1, we have
and
That is,
Substituting Formula (34) into (33), we have
For the last partitioned matrix in (14), using the basic block matrix operations for rows or columns and , and , we have
From Definition 1, we have
and
That is,
Substituting Formula (37) into (36), we have
According to the above proof process, by substituting Formulas (17), (20), (23), (26), (29), (32), (35) and (38) into (14), we have Formula (12). Thus, Lemma 4 is proved. □
Theorem 1.
Let M, N, and K be three positive-definite Hermitian matrices, and let , . Then,
where
and
Proof.
We can see that there are some , and , such that the following three formulas are equivalent:
and
It is well known that and (see [4]). Combining this fact with Formula (12) in Lemma 4, we have
Applying (8) of Lemma 2, we have
and
and
and
Applying (9) and (10) of Lemma 2, we have
and
For any , we have
and
Combining Formulas Combining Formulas (45)–(51), we have
Using (9) of Lemma 2 with , , and , we obtain
Using (9) of Lemma 2 with , , , and , we obtain
Combining Formulas (52), (53) and (54), we have
According to Formulas (42), (43) and (44) (i.e., (55)), we obtain Formula (39). □
Theorem 2.
Let M, N, and K be three positive-definite Hermitian matrices, and let , . Then,
where , , and are the same as in Theorem 1.
Proof.
For the convenience of future research, we simply provide an idea for proving this theorem. For any and , according to Lemma 1, Formulas (57)–(59) are equivalent, as follows:
and
From (9) of Lemma 2 with , , and , we have
Using (10) of Lemma 2 with , , and , we have
Using (10) of Lemma 2 with , , and , we have
This is because
and
Then, we have
Combining Formulas (62)–(64), we have
From Formulas (60), (61) and (65), we have
On the other hand, using Lemma 2 again and similarly to the method in (66), we have
Finally, by combining Formulas (57), (58), (59), (66) and (67), we have Formula (56). □
The reverse order law (2) holds if and only if the two inclusions (3) and (4) hold. Thus, combining Theorems 1 and 2, we immediately obtain the main result of this paper.
Theorem 3.
Let M, N, and K be three positive-definite Hermitian matrices. Let and . Let , , and be the same as in Theorem 1. Then, the following statements are equivalent:
Corollary 1.
Let and . Then, the following statements are equivalent:
where
and
3. Conclusions
The reverse order law for a matrix product’s weighted generalized inverses was studied in this article by using the ranks of generalized Schur complements. The work in this paper can be utilized as a useful tool in many algorithms for the computation of matrix equations’ weighted least squares technique.
Author Contributions
B.Q. and Z.X.: resources; Y.Q.: conceptualization and writing—review and editing. All authors have read and agree to the published version of the manuscript.
Funding
This work was supported by the project for characteristic innovation of 2018 Guangdong University (No. 2018KTSCX234) and the Guangdong Basic and Applied Basic Research Foundation (No. 2025A1515012526).
Institutional Review Board Statement
This study did not involve human or animal subjects.
Informed Consent Statement
Not applicable.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Acknowledgments
The authors wish to thank the anonymous referees of this paper.
Conflicts of Interest
The authors declare no conflicts of interest.
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