This paper investigates conditions for solutions to a specific operator equation system involving bounded linear operators on a Hilbert space, introducing the concept of inverse along an operator and characterizing solutions via the *-order.
Contribution
It establishes necessary and sufficient conditions for solutions, characterizes solutions using the *-order, and provides the general solution and characterizations of the *-order in this context.
Findings
01
Solutions exist under specific conditions related to the *-order.
02
An operator is a solution iff it satisfies a *-order inequality.
03
The paper provides the general form of solutions.
Abstract
In this paper, we establish some necessary and sufficient conditions for the existence of solutions to the system of operator equations BXA=B=AXB in the setting of bounded linear operators on a Hilbert space, where the unknown operator X is called the inverse of A along B. After that, under some mild conditions we prove that an operator X is a solution of BXA=B=AXB if and only if Bβ€ββAXA, where the β-order Cβ€ββD means CCβ=DCβ,CβC=CβD. Moreover we present the general solution of the equation above. Finally, we present some characterizations of Cβ€ββD via other operator equations.
Equations114
AAβ A=A,Aβ AAβ =Aβ ,(AAβ )β=AAβ ,(Aβ A)β=Aβ A.
AAβ A=A,Aβ AAβ =Aβ ,(AAβ )β=AAβ ,(Aβ A)β=Aβ A.
PR(Aβ)ββXAAβ B=(Aβ A)X(AAβ )B=(Aβ A)X(AAβ B)=Aβ (AXB)=Aβ B.
PR(Aβ)ββXAAβ B=(Aβ A)X(AAβ )B=(Aβ A)X(AAβ B)=Aβ (AXB)=Aβ B.
BPR(Aβ)ββXAAβ
BPR(Aβ)ββXAAβ
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Full text
Solutions of the system of operator equations BXA=B=AXB via β-order
Mehdi Vosough and Mohammad Sal Moslehian
Department of Pure Mathematics, Ferdowsi University of Mashhad, P. O. Box 1159, Mashhad 91775, Iran.
Department of Pure Mathematics, Center Of Excellence in Analysis on Algebraic Structures (CEAAS), Ferdowsi University of Mashhad, P. O. Box 1159, Mashhad 91775, Iran.
In this paper, we establish some necessary and sufficient conditions for the existence of solutions to the system of operator equations BXA=B=AXB in the setting of bounded linear operators on a Hilbert space, where the unknown operator X is called the inverse of A along B. After that, under some mild conditions we prove that an operator X is a solution of BXA=B=AXB if and only if Bβ€ββAXA, where the β-order Cβ€ββD means CCβ=DCβ,CβC=CβD. Moreover we present the general solution of the equation above. Finally, we present some characterizations of Cβ€ββD via other operator equations.
Then, AβAAβ =Aβ=Aβ AAβ and we have the following properties
[TABLE]
For A,BβS(H), Aβ€B means BβAβ₯0. The order β€ is said to be the LΓΆwner order on S(H). If there exists CβS(H) such that AC=0 and A+C=B, then we write Aβͺ―B. The order βͺ― is said to be the logic order on S(H).
For A,BβB(H), let Aβ€ββB mean
[TABLE]
It is known that, for A,BβS(H),Aβͺ―B if and only if Aβ€ββB; see [6]. We denote by Aβ§βB the infimum (or the greatest lower bound) of A and B over the ββ order and Aβ¨βB the supremum (or the least upper bound) of A and B over the ββ order, if they exist; cf. [12].
It is known that if AβB(H,K) has closed range, then by considering
[TABLE]
we can write
[TABLE]
where A1β:R(Aβ)βR(A) is invertible; see [8, Lemma 2.1].
Therefore, the MooreβPenrose generalized inverse of A can be represented as
[TABLE]
Many results have been obtained on the solvability of equations for matrices and operators on Hilbert spaces and Hilbert Cββ modules. In 1976, Mitra [11] considered the matrix equations AX=B,AXB=C and the system of linear equations AX=C,XB=D. He got the necessary and sufficient conditions for existence and expressions of general Hermitian solutions. In 1966, the celebrated Douglas Lemma was established in [9]. It gives some conditions for the existence of a solution to the equation AX=B for operators on a Hilbert space. Using the generalized inverses of operators, in 2007, DajiΔ and Koliha [4] got the existence of the common Hermitian and positive solutions to the system AX=C,XB=D for operators acting on a Hilbert space. In 2008, Xu [17] extended these results to the adjointable operators. Several general operator equations and systems in some general settings such as Hilbert Cβ-modules have been studied by some mathematicians; see, e.g., [7, 10, 13, 16].
The matrix equation AXB=C is consistent if and only if AAβCBβB=C for some Aβ,Bβ, and the general solution is X=AβCBβ+YβAβAYBBβ, where Y is an arbitrary matrix; see [11]. In 2010, Gonzalez [1] got some necessary and sufficient conditions for existence of a solution to the equation AXB=C for operators on a Hilbert space.
Let A,B or C have closed range. Then, the operator equation AXB=C is solvable if and only if R(C)βR(A) and R(Cβ)βR(Bβ); see [1, Theorem 3.1]. Therefore, if A or C has closed range, then the equation AXC=C is solvable if and only if R(C)βR(A), and CXA=C is solvable if and only if R(Cβ)βR(Aβ). Deng [5] investigated the equation CAX=C=XAC, which is essentially different from ours. In this paper, we first characterize the existence of solutions of the system of operator equations BXA=B=AXB by means of ββ order. After that, we generalize the solutions to the system of operator equations BXA=B=AXB in a new fashion.
2. The existence of solutions of the system BXA=B=AXB
We start our work with the celebrated Douglas lemma.
Lemma 2.1** (Douglas Lemma).**
[9*]**
Let A,CβB(H). Then, the following statements are equivalent:
(a)
R(C)βR(A).
2. (b)
There exists XβB(H) such that AX=C.
3. (c)
There exists a positive number Ξ» such that CCββ€Ξ»2AAβ.
If one of these conditions holds, then there exists a unique solution XβB(H) of the equation AX=C such that R(X)βR(Aβ)β and N(X)=N(C).
Lemma 2.2**.**
Let A,BβB(H). If R(B)βR(A) and R(Bβ)βR(Aβ), then B=B1ββ¨0, where B1ββB(R(Aβ)β,R(A)β).
Proof.
Let A,B be operators from the decomposition H=R(Aβ)ββ¨N(A) into the decomposition H=R(A)ββ¨N(Aβ). If R(B)βR(A), then, by Lemma 2.1, there exists CβB(H) such that B=AC and N(C)=N(B). Since R(Bβ)βR(Aβ), so R(Cβ)βR(Cβ)β=R(Bβ)ββR(Aβ)β=N(PN(A)β). Hence, PN(A)βCβ=0 and so CPN(A)β=0. It follows from N(C)=N(B) that BPN(A)β=0.
If R(Bβ)βR(Aβ), then a similar reasoning shows that PN(Aβ)βB=0. Therefore,
PR(A)ββBPN(A)β=PN(Aβ)βBPR(Aβ)ββ=PN(Aβ)βBPN(A)β=0. Hence, B=B1ββ¨0, where B1β=PR(A)ββBPR(Aβ)ββ.
β
Theorem 2.3**.**
Let AβB(H) and BβS(H). If A has closed range, then the following statements are equivalent:
(1)
The system of operator equations BXA=B=AXB is solvable;
2. (2)
AAβ BAβ A=B;
3. (3)
R(B)βR(A)* and R(B)βR(Aβ).*
Proof.
(1)βΆ(2): Using (1) and B=BXA, we get that R(B)βR(Aβ)=R(Aβ A). Hence, by Lemma 2.1, there exists CββB(H) such that B=Aβ ACβ. Hence, B=CAβ A. Applying (1) and AXB=B, we derive that R(B)βR(A)=R(AAβ ). Thus, by Lemma 2.1, there exists CβB(H) such that B=AAβ C. It follows that
[TABLE]
(2) βΆ (3): Let AAβ BAβ A=B. Then, R(B)βR(A). It follows from B=Bβ=(AAβ BAβ A)β=Aβ ABAAβ and (1) that R(B)βR(Aβ )=R(Aβ).
(3) βΆ (1): Let R(B)βR(A) and R(B)βR(Aβ). Upon applying Lemma 2.2, B=B1ββ¨0, where B1β=PR(A)ββBPR(Aβ)ββ. Since A has closed rang, so by using (1.3) and (1.4) we have
[TABLE]
Hence, AAβ B=B and BAβ A=B. Thus X=Aβ is a solution of the system BXA=B=AXB.
β
Proposition 2.4**.**
*Let A,B,XβB(H). Then,
[TABLE]
if and only if
[TABLE]
Proof.
(βΉ): Suppose that R(A)βR(B),N(B)βN(A) and BXA=B=AXB. It follows from BXA=B and N(B)βN(A) that N(A)βN(B)βN(A). Hence,
N(A)=N(B). It follows from AXB=B and R(A)βR(B) that R(A)βR(B)βR(A). Therefore, R(A)=R(B). Moreover, (IβAX)B=0 and R(A)βR(B) Hence, we derive that (IβAX)A=0. So, AXA=A.
(βΈ): Suppose that N(B)=N(A),R(B)=R(A) and AXA=A. Hence,
[TABLE]
β
3. System of operator equations BXA=B=AXB via β-order
We know that (B(H),β€ββ) is a partially ordered set; see [2]. Let G1β,G2ββB(H) be invertible and G1ββ€ββA,G2ββ€ββA. Then, G1βG1ββ=AG1ββ and G2βG2ββ=AG2ββ. Hence, we obtain G1β=G2β=A. This fact leads us to consider the characterizations of Aβ€ββB. Now we state the necessary and sufficient conditions in which the common ββ lower or ββ upper bounds of A and B exist.
We need the following essential lemmas.
Lemma 3.1**.**
[18, Lemma 2.1]** Let A,BβB(H) and M denote the closure of a space M.
(a)
AAβ=BAββΊA=BPR(Aβ)βββΊA=BQ* for some QβOP(H);*
2. (b)
AβA=AβBβΊA=PR(A)ββBβΊA=PB* for some PβOP(H);*
3. (c)
where A1ββB(R(Aβ)β,R(A)β),B1ββB(N(A),N(Aβ)) and Aβ¨B means the block matrix \left[\begin{array}[]{cc}A&0\\
0&B\end{array}\right].
The following Lemma is a version of Lemma 2.1 when the operator A has closed range.
Lemma 3.2**.**
[4*, Theorem 3.1]**. Let AβB(H) have closed range. Then, the equation AX=C has a solution XβB(H) if and only if AAβ C=C, and this if and only if R(C)βR(A). In this case, the general solution is
X=Aβ C+(IβAβ A)T, where TβB(H) is arbitrary.
Proposition 3.3**.**
*Let A,BβB(H). Then,
(a)
If A has closed range and Bβ€ββA, then X=Aβ is a solution of the system BXA=B=AXB.
2. (b)
If B has closed range and Bβ€ββA, then X=Bβ is a solution of the system BXA=B=AXB.
Proof.
(a) Let A be a closed range operator and Bβ€ββA. It follows from Lemma 3.1(d) that B=APR(Bβ)ββ and B=PR(B)ββA. Hence, R(B)βR(A) and R(Bβ)βR(Aβ). It follows from R(B)βR(A) and Lemma 3.2 that AAβ B=B. It follows from R(Bβ)βR(Aβ) and Lemma 3.2 that BAβ A=((Aβ A)βBβ)β=(AβAβ βBβ)β=B. Hence, X=Aβ is a solution of the system of operator equations BXA=B=AXB.
(b) Let B be a closed range operator and Bβ€ββA. It follows from Lemma 3.1 that B=APR(Bβ)ββ and B=PR(B)βA. Applying (1), we conclude that ABβ B=B and BBβ A=B. Hence, X=Bβ is a solution of the system BXA=B=AXB.
β
Proposition 3.4**.**
*Let A,B,XβB(H).
If Aβ€ββB and BXA=B=AXB, then N(B)=N(A),R(B)=R(A)Β andΒ AXA=A.*
Proof.
Let Aβ€ββB and BXA=B=AXB. Applying Lemma 3.1(d) we have A=PR(A)ββB=BPR(Aβ)ββ. Hence, R(A)βR(B) and N(B)βN(A). Using Proposition 2.4,
[TABLE]
β
Remark 3.5*.*
Note that the converse of Proposition 3.4 is not true, in general. Set Aβ ,Aβ,A instead of A,B,X. If AβB(H) has closed range, then, by (1), we have R(Aβ)=R(Aβ ),N(Aβ)=N(Aβ ) and Aβ AAβ =Aβ but not Aβ β€ββAβ. Indeed, if Aβ β€ββAβ, then by utilizing Lemma 3.1(d), we have Aβ =PR(Aβ )βAβ. It follows from R(Aβ )=R(Aβ) that Aβ =PR(Aβ)βAβ=Aβ.
Theorem 3.6**.**
*Let A,BβB(H) and Bβ€ββA. Then, the following statements are equivalent:
(a)
There exists a solution XβB(H) of the system BXA=B=AXB;
2. (b)
Bβ€ββAXA
Proof.
(a)βΉ(b): Let XβB(H) is a solution of the system BXA=B=AXB. Hence, BβBXA=0 and BβAXB=0. It follows from the assumption Bβ€ββA and Lemma 3.1(d) that B=PR(B)ββA and B=APR(Bβ)ββ. Hence,
[TABLE]
and
[TABLE]
Therefore, Bβ€ββAXA.
(b)βΉ(a): Suppose that Bβ€ββAXA. Applying Lemma 3.1(d), we infer that PR(B)ββ(BβAXA)=0 and (BβAXA)PR(Bβ)ββ=0. It follows from the assumption Bβ€ββA and Lemma 3.1(d) that B=PR(B)ββA and B=APR(Bβ)ββ, whence
[TABLE]
and
[TABLE]
Therefore, X is a solution of the system BXA=B=AXB.
β
Let A,BβB(H) have closed ranges. It follows from Proposition 3.3 that Aβ and Bβ are solutions of the system BXA=B=AXB. Therefore, we are interested in the study of the following system of operator equations:
[TABLE]
[TABLE]
Let A,BβB(H). An operator CβB(H) is said to be an inverse of A along B if it fulfills one of the equations (3.1) or (3.2). If AβB(H) is invertible, then X=Aβ1 is a solution of the system XA=I=AX. Hence, Aβ1 is an inverse of A along I, where I is the identity of B(H).
Let AβB(H) have closed range. Using (1), we have AAβ A=A=AAβ A. Hence, Aβ satisfies Eq. (3.1). Therefore, Aβ is the inverse of A along A.
It follows from (1) that AβAAβ =Aβ=Aβ AAβ. Hence, Aβ satisfies Eq. (3.2). Therefore, A is the inverse of A along Aβ.
Lemma 3.7**.**
[11, Theorem 2.1]**
Let CβB(H) and A,BβB(H) have closed ranges. Then, the equation AXB=C has a solution XβB(H) if and only if R(C)βR(A),R(Cβ)βR(Bβ), and this if and only if AAβ CBβ B=C. In this case, X=Aβ CBβ +UβAβ AUBBβ , where UβB(H) is arbitrary.
In the next result we provide a general solution of the system BXA=B=AXB.
Theorem 3.8**.**
Let A,BβB(H) have closed ranges and Bβ€ββA. Then, the general solution of the system of operator equations BXA=B=AXB is
[TABLE]
where S,TβB(H).
Proof.
Let A,B have closed ranges. It follows from the assumption Bβ€ββA and Lemma 3.1(d) that B=APR(Bβ)β. Hence, R(B)βR(A). Using Lemma 3.2, we have AAβ B=B. It follows from AAβ BBβ B=B and Lemma 3.7 that the equation AXB=B is solvable. In this case, the general solution is
[TABLE]
where WβB(H) is arbitrary. If X satisfies the equation BXA=B, then
[TABLE]
It follows from the assumption Bβ€ββA and Lemma 3.1(d) that B=PR(B)βA. Applying (1), BBβ A=B. Hence,
[TABLE]
Therefore, B(Aβ B+WAβAβ AWB)=B. So, Aβ B+WAβAβ AWB is a solution of the equation BX=B. Utilizing Lemma 3.2 again, we have
[TABLE]
where SβB(H) is arbitrary. Multiply the left hand side of Eq. (3.4) by A, to get
[TABLE]
It follows from the assumption Bβ€ββA and Lemma 3.1(d) that B=APR(Bβ)β. Applying (1), ABβ B=B. We derive that
[TABLE]
Now, we get AW(AβB)=B(IβAAβ )+(AβB)S. So, W is a solution of the equation AX(AβB)=B(IβAAβ )+(AβB)S. Using Lemma 3.2, we get that
[TABLE]
where TβB(H) is arbitrary. By putting W in Eq. (3.3), we reach
[TABLE]
β
Theorem 3.9**.**
Let A,BβB(H) where A has closed range. If the system BXA=B=AXB is solvable, then the system XB=Aβ B,BX=BAβ is solvable. Conversely, If Bβ€ββA and the system XB=Aβ B,BX=BAβ is solvable, then the system BXA=B=AXB is solvable.
Proof.
(βΉ): Let X be a solution of the system BXA=B=AXB. It follows from B=AXB that R(B)βR(A). Using Lemma 3.2, AAβ B=B. It follows from (1) that
[TABLE]
So, PR(Aβ)ββXAAβ is a solution of the equation XB=Aβ B.
Since Bβ=(BXA)β=AβXβBβ, we have R(Bβ)βR(Aβ). Applying Lemma 2.1, there exists YβB(H) such that B=YA. Hence,
[TABLE]
Therefore, PR(Aβ)ββXAAβ is a solution of the equation B=BAβ .
Thus PR(Aβ)ββXAAβ is a solution of the system XB=Aβ B,BX=BAβ .
(βΈ): Suppose that X is a solution of the system XB=Aβ B,BX=BAβ . It follows from the assumption Bβ€ββA that B=APR(Bβ)ββ and B=PR(B)ββA. Hence, R(B)βR(A) and R(Bβ)βR(Aβ). It follows from R(B)βR(A) to Lemma 3.2 that AAβ B=B. Hence, AXB=A(Aβ B)=AAβ B=B. It follows from R(Bβ)βR(Aβ) and Lemma 2.1 that there exists ZββB(H) such that B=ZA. Hence,
[TABLE]
Therefore, X is a solution of the system BXA=B=AXB.
β
Lemma 3.10**.**
[4, Theorem 4.2]**
Let A,B,C,DβB(H) and A,B,M=Bβ(IβAβ A) have closed ranges. Then, the system AX=C,XB=D have a hermitian solution XβB(H) if and only if
[TABLE]
and ACβ and BβD are hermitian. In this case, the general hermitian solution is
[TABLE]
where WβB(H) is hermitian and s(T)=DββBβAβ C is the so-called Schur complement of the block matrix T=\left[\begin{array}[]{cc}A&C\\
B^{*}&D^{*}\end{array}\right].
Theorem 3.11**.**
Suppose that A,BβB(H) have closed ranges. If Bβ€ββA and BβAβ B,BAβ βBβ are hermitian, then the system BXA=B=AXB has a hermitian solution.
Proof.
Replace A,B,C,D in Lemma 3.10 by B,B,BAβ ,Aβ B to get
[TABLE]
and
[TABLE]
Using Lemma 3.10, the system XB=Aβ B,BX=BAβ has a hermitian solution, say, X. It follows from the assumption Bβ€ββA that B=APR(Bβ)ββ and B=PR(B)ββA. Hence, R(B)βR(A) and R(Bβ)βR(Aβ). It follows from R(B)βR(A) and Lemma 3.2 that AAβ B=B. Hence, AXB=A(Aβ B)=AAβ B=B. It follows from R(Bβ)βR(Aβ) and Lemma 2.1 that there exists ZβB(H) such that B=ZA. Hence,
[TABLE]
Therefore, X is a hermitian solution of the system BXA=B=AXB.
β
4. β-order via other operator equations
Generally speaking, the inequality PBβ€ββB dose not hold for any PβP(H) even if R(P)βR(B)β. In [2, Lemma 2.6], some conditions are mentioned which give a one-sided description of the relation Aβ€ββB regarding (1.2).
If PβOP(H) and R(P)βR(B)β, then PBβ€ββB if and only if PBBβ=BBβP.
2. (b)
If QβOP(H) and R(Q)βR(Bβ)β, then BQβ€ββB if and only if QBβB=BβBQ.
In the following, we state a generalization of Proposition 4.1.
Proposition 4.2**.**
Let BβB(H). If there exist P,QβOP(H) such that R(P)βR(B)βand R(Q)βR(Bβ)β,
then PBQβ€ββB if and only if PBQBβ=BQBβP and QBβPB=BβPBQ.
Proof.
(βΉ): Let PBQβ€ββB. Applying (1.2), we get that
[TABLE]
and
[TABLE]
(βΈ): Let PBQBβ=BQBβP and QBβPB=BβPBQ. Applying (1.2), we obtain that
[TABLE]
and
[TABLE]
β
The next known theorem gives a characterization of the order β€ββ.
Theorem 4.3**.**
[6, Theorem 2.3]**
Let AβB(H) and CβQ(H). Then, Cβ€ββA if and only if there exists XβB(H) such that A=C+(IβCβ)X(IβCβ).
In the following, we establish an analogue of Theorem 4.3 for generalized projections on a Hilbert space. Recall that an operator AβB(H) is a generalized projection if A2=Aβ.
Lemma 4.4**.**
[14, Theorem A.2]**
Let AβB(H) be a generalized projection.Then, A is a closed range operator and A3 is an orthogonal projection on R(A). Moreover, H has decomposition
[TABLE]
and A has the following matrix representation
[TABLE]
where the restriction A1β=Aβ£R(A)β is unitary on R(A).
Theorem 4.5**.**
Let AβB(H) and BβGP(H). Then, Bβ€ββA if and only if there exists XβB(H) such that A=B+(IβBBβ)X(IβBβB).
Proof.
(βΉ): Let BβGP(H) and Bβ€ββA. Employing Lemma 4.4, we infer that B has closed range and B3=PR(B)β. It follows from (1) that
[TABLE]
Hence, PR(B)β=PR(Bβ)β=BBβ=BβB. Therefore, PN(B)β=PN(Bβ)β=IβBBβ=IβBβB.
Applying Lemma 3.1(c), we get A=B+PN(Bβ)βAPN(B)β. Hence, A=B+(IβBBβ)A(IβBβB).
(βΈ): Let XβB(H) be a solution of the equation A=B+(IβBBβ)X(IβBβB). Since B is a generalized projection, so BβBBβ=Bβ. Hence,
Hence, X=AβB is an idempotent and BβX=Bβ(AβB)=0 and XBβ=(AβB)Bβ=0.
(βΈ): Let A=B+X and BβX=XBβ=0 for some idempotent X. Then, Bβ(AβB)=BβX=0 and (AβB)Bβ=XBβ=0. Therefore, Bβ€ββA by (1.2).
β
Corollary 4.8**.**
Let AβGP(H) and BβB(H). Then, Bβ€ββAAβ if and only if B is an idempotent and there exists an idempotent X such that AAβ=B+X and BβX=XBβ=0.
Proof.
Let AβGP(H). Then, (AAβ)2=AAβAAβ=AAβ. Hence, AAβ is an idempotent. Now apply Lemma 4.7.
β
We end our work with the following result.
Proposition 4.9**.**
Let AβB(H) and CβGP(H). Then, BβB(H) is common ββ lower bound of A and CCβ if and only if B is an idempotent and there exist X,YβB(H) such that
[TABLE]
where BβY=YBβ=0.
Proof.
(βΉ): If B be a common ββ lower bound of A and CCβ, then Bβ€ββA and Bβ€ββCCβ. It follows from the assumption Bβ€ββCCβ and Lemma 4.7 that B is an idempotent and there exists an idempotent YβB(H) such that CCβ=B+R, where BβR=RBβ=0. Since B is an idempotent and Bβ€ββA, by Theorem 4.3, there exists SβB(H) such that A=B+(IβBβ)S(IβBβ).
(βΈ): If there exists an idempotent Y such that CCβ=B+Y with BβY=0 and YBβ=0, then Bβ€ββCCβ. The assumption A=B+(IβBβ)S(IβBβ) and the fact that B is an idempotent yield Bβ(AβB)=0 and (AβB)Bβ=0. Hence, Bβ€ββA and B is a common ββ lower bound of A and CCβ.
β
Bibliography18
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1[1] M.L. Arias and M.C. Gonzalez. Positive solutions to operator equations A β X β B = C π΄ π π΅ πΆ AXB=C . Linear Algebra and its Applications , 433:1194β1202, 2010.
2[2] J. Antezana, C. Cano, I. Mosconi and D. Stojanoff. A note on the star order in Hilbert spaces. Linear and Multilinear Algebra , 58:1037β1051, 2010.
3[3] D. CvetkoviΔ-IliΔ. Re-nnd solutions of the matrix equation A β X β B = C π΄ π π΅ πΆ AXB=C . Journal of the Australian Mathematical Society , 84:63β72, 2008.
4[4] A. DajiΔ and J. J. Koliha. Positive solutions to the equations A β X = C π΄ π πΆ AX=C and X β B = D π π΅ π· XB=D for Hilbert space operators. Journal of Mathematical Analysis and Applications , 333:567β576, 2007.
5[5] C. Deng. On the solutions of operator equation C β A β X = C = X β A β C πΆ π΄ π πΆ π π΄ πΆ CAX=C=XAC . Journal of Mathematical Analysis and Applications , 398:664β670, 2013.
6[6] C. Deng and A.Yu. Some relations of projection and star order in Hilbert space. Linear Algebra and its Applications , 474:158β168, 2015.
7[7] F.O. Farid, M.S. Moslehian, Wang, Qing-Wen, Wu and Zh.Ch. Wu. On the Hermitian solutions to a system of adjointable operator equations. Linear Algebra and its Applications , 437:1854β1891, 2012.
8[8] D.S. DjordjeviΔ. Characterizations of normal, hyponormal and EP operators. Journal of Mathematical Analysis and Applications , 329:1181β1190, 2007.