Reverse-order law for weighted Moore–Penrose inverse of tensors
Krushnachandra Panigrahy*†a, Debasisha Mishra†*b
*†*Department of Mathematics,
National Institute of Technology Raipur,
Raipur, Chhattisgarh, India.
E-maila: [email protected]
E-mailb: [email protected].
Abstract
In this paper, we provide a few properties of the weighted Moore–Penrose inverse for an arbitrary order tensor via the Einstein product. We again obtain some new sufficient conditions for the reverse-order law of the weighted Moore–Penrose inverse for even-order square tensors. We then present several characterizations of the reverse-order law for tensors of arbitrary order.
keywords:
Tensor , Moore–Penrose inverse , Weighted Moore–Penrose inverse , Einstein product , Reverse-order law.
††journal: arXiv.org
1 Introduction
A tensor is a multidimensional array. An element of CI1×⋯×IN is an Nth-order tensor. Here I1,I2,⋯,IN are dimensions of the first, second, ⋯, Nth way, respectively. The order of a tensor is the number of its dimensions.
The scalars, vectors and matrices are respectively zeroth-order, first-order and second-order tensors.
The tensors of order three or higher are known as the higher-order tensors. These are denoted by calligraphic letters like A. An element of an Nth order tensor A at (i1,⋯,iN)th position is denoted by ai1⋯iN. For more details, we refer to the recent books [20, 21, 24] on tensors.
There has been active research on tensors for the past four decades. But, a little research contributions on the theory and applications of generalized inverses of tensors are in the literature. In fact, a generalized inverse called the Moore–Penrose inverse of an even-order tensor via the Einstein product was introduced first by Sun et al. [23] in 2016.
Then the authors find the minimum-norm least-squares solution of some multilinear systems by using the notion of Moore–Penrose inverse. In the next year, Behera and Mishra [2] continued the same study and proposed different types of generalized inverses of tensors. In 2018, Panigrahy and Mishra [18] improved the definition of the Moore–Penrose inverse of an even-order tensor to a tensor of any order via the same product which also appeared in [16] and [22]. Panigrahy and Mishra [18] also introduced an extension of the Moore–Penrose inverse of a tensor called as the Product Moore–Penrose inverse. The definition of the Moore–Penrose inverse of an arbitrary order tensor is recalled below.
Definition 1.1**.**
*(Definition 3.3, [16] & Definition 1.1, [18])
Let X∈CI1×⋯×IM×J1×⋯×JN. The tensor Y∈CJ1×⋯×JN×I1×⋯×IM satisfying the following four tensor equations:*
[TABLE]
is defined as the Moore–Penrose inverse of X, and is denoted by X†.
In the above definition, (⋅)H denotes the conjugate transpose of (⋅) and ∗N denotes the Einstein product [6] of tensors, and is defined by
[TABLE]
for tensors A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL.
In the case of an even-order invertible tensor, Definition 1.1 coincides with the notion of the inverse which was first introduced by Brazell et al. [5]. They also showed that such an inverse can be computed using the singular value decomposition of the same tensor (see Lemma 3.1, [5]).
The idea of introducing generalized inverses of tensors origins from the necessity of finding a solution of a given tensor multilinear system (see [2, 9, 10, 23]).
The equality (A∗NB)†=B†∗NA† for any two complex tensors A and B of arbitrary order, is called as the reverse-order law for the Moore–Penrose inverse of tensors. Also called as two term reverse-order law. If the above equality contains the Einstein product of three different tensors, then it is called as the triple reverse-order law (or three term reverse-order law). In the last section of [2], the authors proposed two open problems. The first one is about the reverse-order law for the Moore–Penrose inverse of tensors and the second one is about full rank factorization of tensors. In 2018, Panigrahy et al. [17] answered the first one for even-order tensors. Again, Panigrahy and Mishra [19] added more results to the same theory but for arbitrary order tensors. In the same year, Liang and Zheng [16] solved the other problem.
In 2017, Ji and Wei [10] introduced another extension of the Moore–Penrose inverse of an even-order tensor called weighted Moore–Penrose inverse and established the relation between the minimum-norm least-squares solution of a multilinear system and the weighted Moore–Penrose inverse.
Very recently, Behera et al. [1] proposed a few identities involving the weighted Moore–Penrose inverses of tensors. They also provided a method of computation of the weighted Moore–Penrose inverse using full rank decomposition of a tensor which was introduced by Liang and Zheng [16]. Among other results, they attempted the problem of triple reverse-order law mentioned in the conclusion section of [18] for the weighted Moore–Penrose inverse.
In this paper,
our aim is to study the reverse-order law for the weighted Moore–Penrose inverse of tensors via the Einstein product.
In this context, the paper is organized as follows. Section 2 collects various useful definitions and results. A few properties of the weighted Moore–Penrose inverse of tensors are explained in Section 3. Section 4 contains all our main results and is devoted to the reverse-order law for the weighted Moore–Penrose inverse of tensors. It has two subsections, the first subsection contains a few necessary and sufficient conditions of reverse-order law for the square tensors while the second subsection is for arbitrary order tensors.
2 Prerequisites
Here, we collect some definitions and earlier results which will be used to prove the main results.
We begin with the definition of a diagonal tensor. A tensor in CI1×⋯×IN×I1×⋯×IN with entries (D)i1...iNj1...jN is called a diagonal
tensor if di1...iNj1...jN=0 for (i1,⋯,iN)=(j1,⋯,jN). A tensor I∈CI1×⋯×IN×I1×⋯×IN with entries (I)i1⋯iNj1⋯jN=∏k=1Nδikjk is called an identity tensor if
δikjk={1, if ik=jk0, otherwise.
The conjugate transpose of a tensor A∈CI1×⋯×IM×J1×⋯×JN is denoted by AH, and is defined as (AH)j1…jNi1…iM=ai1…iMj1…jN,
where the over-line stands for the conjugate of ai1…iMj1…jN. A tensor A∈CI1×⋯×IN×I1×⋯×IN is Hermitian if A=AH and skew-Hermitian if A=−AH. Further, a tensor
A∈CI1×⋯×IN×I1×⋯×IN is unitary if A∗NAH=AH∗NA=I, and idempotent if A∗NA=A. Ji and Wei [10] define the class of Hermitian positive definite tensors as below.
Definition 2.1**.**
(Definition 1, [10])
Let P∈CI1×⋯×IK×I1×⋯×IK, if there exists a unitary tensor U such that
[TABLE]
where D is a diagonal tensor with positive diagonal entries, then P is said to be Hermitian positive definite.
For a Hermitian positive definite tensor P in the Definition 2.1, let D1/2 be the diagonal tensor obtained from D by taking the square root of all its diagonal entries and define
[TABLE]
the square root of P. Notice that P1/2 is always non-singular and its inverse is denoted by P−1/2. Moreover, (P1/2)H=P1/2. In 2017, Ji and Wei [10] introduce the weighted Moore-Penrose inverse for even-order tensors, however, very recently Behera et al. [1] defines it for any tensor and the definition is recalled next.
Definition 2.2**.**
(Definition 2.2, [1])
Let A∈CI1×⋯×IM×J1×⋯×JN, and M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN be Hermitian positive definite tensors. Then the unique tensor X in CJ1×⋯×JN×I1×⋯×IM satisfying
[TABLE]
is called the weighted Moore–Penrose inverse of tensor A and this unique X is denoted by AMN†.
In particular, when M and N are both identity tensors, then AIMIN†=A†,
where IM∈CI1×⋯×IM×I1×⋯×IM and IN∈CJ1×⋯×JN×J1×⋯×JN are identity tensors. The null space and the range space of A∈CI1×⋯×IM×J1×⋯×JN are defined to be N(A)={X∈CJ1×⋯×JN:A∗NX=O} and R(A)={A∗NX:X∈CJ1×⋯×JN}, respectively.
Due to Ji and Wei, [10] we have the following property for weighted Moore–Penrose inverse of an even-order tensor.
Lemma 2.3**.**
(Lemma 2, [10])
Let A∈CI1×⋯×IN×J1×⋯×JN, and let M and N be Hermitian positive definite tensors in CI1×⋯×IN×I1×⋯×IN and
CJ1×⋯×JN×J1×⋯×JN, respectively. Then
(AMN†)NM†=A,
(AMN†)H=(AH)N−1M−1†.
3 Weighted conjugate transpose
Ji and Wei [10] defines the weighted conjugate transpose of a tensor whereas Behera et al. [1] defines it formally for any tensor as below.
Definition 3.1**.**
(Definition 2.8, [1])
The weighted conjugate transpose of the tensor A∈CI1×⋯×IM×J1×⋯×JN, denoted by AMN#, is defined by
[TABLE]
where M∈CI1×⋯×IM×I1×⋯×IM and N∈CJ1×⋯×JN×J1×⋯×JN are Hermitian positive definite tensors.
Using Definition 3.1, one can easily verify the following properties of the weighted conjugate transpose.
Lemma 3.2**.**
Let A,B∈CI1×⋯×IM×J1×⋯×JN. Also, let M∈CI1×⋯×IM×I1×⋯×IM and N∈CJ1×⋯×JN×J1×⋯×JN be Hermitian positive definite tensors. Then
[TABLE]
Like the conjugate transpose of a tensor, the weighted conjugate transpose also satisfies reverse-order law and is stated below.
Lemma 3.3**.**
(Lemma 2.9, [1])
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. Then
[TABLE]
The only tensor whose Einstein product with its weighted conjugate transpose results zero tensor is zero tensor. This is stated in next result.
Theorem 3.4**.**
Let A∈CI1×⋯×IM×J1×⋯×JN, and M∈CI1×⋯×IM×I1×⋯×IM and N∈CJ1×⋯×JN×J1×⋯×JN be Hermitian positive definite tensors. Then either of AMN#∗MA=O and A∗NAMN#=O implies A=O.
During the investigation of the reverse-order law for the weighted Moore–Penrose inverse of tensors, we observe that the weighted conjugate transpose of the Einstein product of a tensor with its weighted Moore–Penrose inverse remains unaltered.
Theorem 3.5**.**
Let A∈CI1×⋯×IM×J1×⋯×JN, and M∈CI1×⋯×IM×I1×⋯×IM and N∈CJ1×⋯×JN×J1×⋯×JN be Hermitian positive definite tensors. Then
[TABLE]
Similarly, we have the following result.
Theorem 3.6**.**
Let A∈CI1×⋯×IM×J1×⋯×JN, and M∈CI1×⋯×IM×I1×⋯×IM and N∈CJ1×⋯×JN×J1×⋯×JN be Hermitian positive definite tensors. Then
[TABLE]
Next, we provide the right cancellation property of AMN# for a tensor A∈CI1×⋯×IM×J1×⋯×JN.
Lemma 3.7**.**
Let A∈CI1×⋯×IM×J1×⋯×JN, B∈CK1×⋯×KL×I1×⋯×IM and C∈CK1×⋯×KL×I1×⋯×IM. Also, let M∈CI1×⋯×IM×I1×⋯×IM and N∈CJ1×⋯×JN×J1×⋯×JN be Hermitian positive definite tensors.
If B∗MA∗NAMN#=C∗MA∗NAMN#, then B∗NA=C∗NA.
Similarly, the left cancellation property is provided below.
Lemma 3.8**.**
Let A∈CI1×⋯×IM×J1×⋯×JN, B∈CJ1×⋯×JN×K1×⋯×KL and C∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM and N∈CJ1×⋯×JN×J1×⋯×JN be Hermitian positive definite tensors.
If AMN#∗MA∗NB=AMN#∗MA∗NC, then A∗NB=A∗NC.
A sufficient condition for the commutativity of AMN†∗MA and B∗LBMN# is presented below.
Lemma 3.9**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. If AMN†∗MA∗NB∗LBNL#∗NAMN#=B∗LBNL#∗NAMN#, then AMN†∗MA commutes with B∗LBNL#.
Similarly, we can have the following result.
Lemma 3.10**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. If B∗LBNL†∗NAMN#∗MA∗NB=AMN#∗MA∗NB, then B∗LBNL† commutes with AMN#∗MA.
Equivalent conditions for the commutativity of AMN†∗MA and B∗LBNL† are obtained next.
Lemma 3.11**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. Then the commutativity of AMN†∗MA and B∗LBNL† is equivalent to either of the conditions
[TABLE]
and
[TABLE]
The next result provides an absorbing property of a tensor which coincides with its weighted conjugate transpose.
Lemma 3.12**.**
Let P∈CI1×⋯×IN×I1×⋯×IN such that N∗NP=(N∗NP)H. Also, let M and N be Hermitian positive definite tensors of appropriate size. If P∗NQ=Q for Q∈CI1×⋯×IN×J1×⋯×JM, then
[TABLE]
In a similar way, we have the following result.
Lemma 3.13**.**
Let P∈CI1×⋯×IN×I1×⋯×IN such that N∗NP=(N∗NP)H. Also, let M and N be Hermitian positive definite tensors of appropriate size. If Q∗NP=Q for Q∈CJ1×⋯×JM×I1×⋯×IN, then
[TABLE]
4 Main results
4.1 Reverse-order law for square tensors
In this subsection, we provide some sufficient conditions of the reverse-order law for the weighted Moore–Penrose inverse of the Einstein product of two square tensors.
Theorem 4.1**.**
Let A, B∈CI1×⋯×IN×I1×⋯×IN. Also, let M, N∈CI1×⋯×IN×I1×⋯×IN be Hermitian positive definite tensors. If
[TABLE]
then (A∗NB)MN†=BMN†∗NAMN†.
Proof.
Suppose that Equations (13)-(16) hold. Let X=A∗NB and Y=BMN†∗NAMN†, then with the help of Equations (15) and (16), we have X∗NY∗NX=X and using Equations (13) and (14), we have Y∗NX∗NY=Y. Using Equation (13), we have (M∗NX∗NY)H=[(M∗NB∗NBMN†)∗NM−1∗N(M∗NA∗NAMN†)]H, which results (M∗NX∗NY)H=M∗NX∗NY due to Equation (14). Using Equation (16) we have (N∗NY∗NX)H=[N∗N(AMN†∗NA)∗NN−1∗N(N∗NBMN†∗NB)]H, which results (N∗NY∗NX)H=N∗NY∗NX due to Equation (15).
Therefore, by Definition 2.2, we get XMN†=Y, i.e., (A∗NB)MN†=BMN†∗NAMN†.
∎
We replace the conditions (13) and (14) of Theorem 4.1 by a single condition, and is presented next.
Theorem 4.2**.**
Let A, B∈CI1×⋯×IN×I1×⋯×IN. Also, let M, N∈CI1×⋯×IN×I1×⋯×IN be Hermitian positive definite tensors. If
(M∗NA∗NB∗NBMN†∗NAMN†)H=M∗NA∗NB∗NBMN†∗NAMN†,
B∗N(AMN†∗NA)=(AMN†∗NA)∗NB,
BMN†∗N(AMN†∗NA)=(AMN†∗NA)∗NBMN†,
then (A∗NB)MN†=BMN†∗NAMN†.
Similarly, one can replace the conditions (15) and (16) of Theorem 4.1 by a single condition as follows.
Theorem 4.3**.**
Let A, B∈CI1×⋯×IN×I1×⋯×IN. Also, let M, N∈CI1×⋯×IN×I1×⋯×IN be Hermitian positive definite tensors. If
A∗N(B∗NBMN†)=(B∗NBMN†)∗NA,
AMN†∗N(B∗NBMN†)=(B∗NBMN†)∗NAMN†,
(N∗NBMN†∗NAMN†∗NA∗NB)H=N∗NBMN†∗NAMN†∗NA∗NB,
then (A∗NB)MN†=BMN†∗NAMN†.
The next result confirms that whenever the tensor A satisfies M∗NAMN†=(M∗NA)H, then (15) and (16) are sufficient to hold the reverse-order law.
Theorem 4.4**.**
Let A, B∈CI1×⋯×IN×I1×⋯×IN. Also, let M, N∈CI1×⋯×IN×I1×⋯×IN be Hermitian positive definite tensors and M∗NAMN†=(M∗NA)H. If
[TABLE]
then (A∗NB)MN†=BMN†∗NAMN†.
Similarly, conditions (13) and (14) are sufficient to hold the reverse-order law whenever N∗NBMN†=(N∗NB)H.
Theorem 4.5**.**
Let A, B∈CI1×⋯×IN×I1×⋯×IN. Also, let M, N∈CI1×⋯×IN×I1×⋯×IN be Hermitian positive definite tensors and N∗NBMN†=(N∗NB)H. If
[TABLE]
then (A∗NB)MN†=BMN†∗NAMN†.
Next, we provide an interesting result which confirms that only one condition among (13)-(16) is sufficient to hold the reverse-order law for the tensors A and B satisfying M∗NAMN†=(M∗NA)H and N∗NBMN†=(N∗NB)H.
Theorem 4.6**.**
Let A, B∈CI1×⋯×IN×I1×⋯×IN. Also, let M, N∈CI1×⋯×IN×I1×⋯×IN be Hermitian positive definite tensors and M∗NAMN†=(M∗NA)H and N∗NBMN†=(N∗NB)H. If at least one of the following holds
[TABLE]
then (A∗NB)MN†=BMN†∗NAMN†.
4.2 Reverse-order law for arbitrary tensors
In this subsection, we provide some necessary and sufficient conditions of the reverse-order law for the weighted Moore–Penrose inverse of the Einstein product of two tensors.
The very first result is proved in [1] using the range and null space of a tensor, however we present a new proof without using the notion of the range and null space of a tensor.
Theorem 4.7**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. Then
[TABLE]
if and only if
[TABLE]
Proof.
Suppose that (A∗NB)ML†=BNL†∗NAMN†. We have
[TABLE]
which results
[TABLE]
Pre-multiply both sides with A∗NB∗LBNL#∗NB, we get
[TABLE]
From which, we get
[TABLE]
Since I−AMN†∗MA is idempotent and (I−AMN†∗MA)NN#=I−AMN†∗MA. So, the last equation can be written as
[TABLE]
Thus,
[TABLE]
Again,
[TABLE]
Now, pre-multiplying BNL#∗NAMN#∗MA∗NAMN# to A∗NB=(AMN†)NM#∗NB∗LBNL†∗NAMN#∗MA∗NB, we get
[TABLE]
which gives
[TABLE]
Since I−B∗LBNL† is idempotent and (I−B∗LBNL†)NN#=I−B∗LBNL†. So
[TABLE]
Thus,
[TABLE]
Conversely, suppose that Equations (23) and (24) hold, i.e.,
[TABLE]
Pre-multiplying and post-multiplying Equation (23) by BNL† and ((A∗NB)ML#)LM†, respectively, we get
[TABLE]
Taking the weighted conjugate transpose of Equation (24), we have
[TABLE]
Pre-multiplying and post-multiplying Equation (26) by ((A∗NB)ML#)LM† and AMN†, respectively, we obtain
[TABLE]
In order to show
(A∗NB)ML†=BNL†∗NAMN†, we have to show that BNL†∗NAMN† satisfies Definition 1.1, and is shown below. Using Equation (25), we have
[TABLE]
Using Lemma 3.9, we get B∗LBNL#∗NAMN†∗MA∗NB∗LBNL†∗NAMN#=B∗LBNL#∗NAMN#, which on pre-multiplying by BNL† gives
BNL#∗NAMN†∗MA∗NB∗LBNL†∗NAMN#=BNL#∗NAMN#. Again, pre-multiplying (BNL†)LN# and post-multiplying (AMN†)NM# yields
[TABLE]
Now, with the help of Equation (27), we get
[TABLE]
and using Equation (25), we get
[TABLE]
∎
Next, we provide a simpler characterization than that of Theorem 4.7 of the reverse-order law for the weighted Moore-Penrose inverse of the Einstein product of two tensors.
Theorem 4.8**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. Then
[TABLE]
if and only if
[TABLE]
In the last two Theorems 4.7 and 4.8, we need to check two conditions for the reverse-order law, however the next theorem needs only one condition to check.
Theorem 4.9**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. Then (A∗NB)ML†=BNL†∗NAMN† if and only if
[TABLE]
We next present another characterization of the reverse-order law.
Theorem 4.10**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. Then (A∗NB)ML†=BNL†∗NAMN† if and only if
[TABLE]
and
[TABLE]
Next theorem replaces the first condition of Theorem 4.7 by a new condition.
Theorem 4.11**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. Then (A∗NB)ML†=BNL†∗NAMN† if and only if
(L∗LBNL†∗NAMN†∗MA∗NB)H=L∗LBNL†∗NAMN†∗MA∗NB,
B∗LBNL†∗NAMN#∗MA∗NB=AMN#∗MA∗NB.
Similarly, we replace the second condition of Theorem 4.7 by a new condition.
Theorem 4.12**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M∈CI1×⋯×IM×I1×⋯×IM, N∈CJ1×⋯×JN×J1×⋯×JN and L∈CK1×⋯×KL×K1×⋯×KL be Hermitian positive definite tensors. Then (A∗NB)ML†=BNL†∗NAMN† if and only if
AMN†∗MA∗NB∗LBNL#∗NAMN#=B∗LBNL#∗NAMN#,
(M∗MA∗NB∗LBNL†∗NAMN†)H=M∗MA∗NB∗LBNL†∗NAMN†.
It is interesting to note that the conditions M∗MA∗NB∗LBNL†∗NAMN† and N∗LBNL†∗NAMN†∗MA∗NB being Hermitian are weaker conditions than are B∗MBNL†∗NAMN#∗MA∗NB=AMN#∗MA∗NB and AMN†∗MA∗NB∗MBNL#∗NAMN#=B∗MBNL#∗NAMN#. The last result of this paper shows that the reverse-order law is a sufficient condition for the commutativity of AMN†∗MA and B∗LBNL†.
Theorem 4.13**.**
Let A∈CI1×⋯×IM×J1×⋯×JN and B∈CJ1×⋯×JN×K1×⋯×KL. Also, let M, N, L be Hermitian positive definite tensors in CI1×I2×⋯×IM×I1×I2×⋯×IM, CJ1×J2×⋯×JN×J1×J2×⋯×JN and CK1×⋯×KL×K1×⋯×KL, respectively. If (A∗NB)ML†=BNL†∗NAMN†, then AMN†∗MA
and B∗LBNL† commute.
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