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The solutions to the operator equation $TXS^* -SX^*T^*=A$ in Hilbert $C^*$-modules

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ISSN: 2008-6822 (electronic)

http://dx.doi.org/10.22075/ijnaa.2016.502

The solutions to the operator equation

T XS

SX

T

=

A

in Hilbert C

-modules

Mehdi Mohammadzadeh Karizakia,∗, Mahmoud Hassanib, Dragan S. Djordjevi´cc aUniversity of Torbat Heydarieh, Torbat Heydariyeh, Iran

bDepartment of Mathematics, Mashhad Branch, Islamic Azad University, Mashhad, Iran

cFaculty of Sciences and Mathematics, University of Nis, Visegradska 33, P.O. Box 224, 18000 Nis, Serbia

(Communicated by M.B Ghaemi)

Abstract

In this paper, we find explicit solution to the operator equationT XS∗−SX∗T∗ =A in the general setting of the adjointable operators between Hilbert C∗-modules, when T, S have closed ranges and

S is a self adjoint operator.

Keywords: Operator equation; Moore-Penrose inverse; Hilbert C∗-module. 2010 MSC: Primary 47A62; Secondary 15A24, 46L08.

1. Introduction

The equation T XS∗ −SX∗T∗ = A was studied by Yuan [8] for finite matrices and Xu et al. [6] generalized the results to Hilbert C∗-modules, under the condition that ran(S) is contained in ran(T). When T equals an identity matrix or identity operator, this equation reduces to XS∗−SX∗ = A, which was studied by Braden [1] for finite matrices, and Djordjevic [2] for the Hilbert space operators. In this paper, we find explicit solution to the operator equationT XS∗−SX∗T∗ =A in the general setting of the adjointable operators between Hilbert C∗-modules, when T, S have closed ranges and

S is a self adjoint operator.

Throughout this paper, Ais a C∗-algebra. LetX andY be two HilbertA-modules, andL(X,Y) be the set of the adjointable operators from X to Y. For any T ∈ L(X,Y), the range and the null space of T are denoted by ran(T) and ker(T) respectively. In case X = Y, L(X,X) which we

Corresponding author

Email addresses: [email protected](Mehdi Mohammadzadeh Karizaki),

[email protected], [email protected](Mahmoud Hassani),[email protected](Dragan S. Djordjevi´c)

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abbreviate toL(X), is a C∗-algebra. The identity operator on X is denoted by 1X or 1 if there is no

ambiguity. Let Mbe closed submodule of a HilbertA-module X, thenPM is orthogonal projection

ontoM, in the sense thatPM is self adjoint idempotent operator.

Theorem 1.1. [4, Theorem 3.2] Suppose that T ∈ L(X,Y) has closed range. Then

• ker(T) is orthogonally complemented inX, with complement ran(T∗).

• ran(T) is orthogonally complemented in Y, with complement ker(T∗).

• The map T∗ ∈ L(Y,X) has closed range.

Xu and Sheng [7] showed that a bounded adjointable operator between two HilbertA-modules admits a bounded Moore-Penrose inverse if and only if it has closed range. The Moore-Penrose inverse of

T, denoted byT†, is the unique operator T ∈ L(X,Y) satisfying the following conditions:

T T†T =T, T†T T† =T†, (T T†)∗ =T T†, (T†T)∗ =T†T.

It is well-known that T† exists if and only if ran(T) is closed, and in this case (T†)∗ = (T∗)†. Let

T ∈ L(X,Y) have closed range, then T T† is the orthogonal projection from Y onto ran(T) andT†T

is the orthogonal projection from X onto ran(T∗). Projection, in the sense that they are self adjoint idempotent operators.

A matrix form of a bounded adjointable operator T ∈ L(X,Y) can be induced by some natural decompositions of Hilbert C∗-modules. Indeed, if M and N are closed orthogonally complemented submodules ofX and Y, respectively, and X =M ⊕ M⊥, Y =N ⊕ N, thenT can be written as

the following 2×2 matrix

T =

T1 T2

T3 T4

,

where, T1 ∈ L(M,N), T2 ∈ L(M⊥,N), T3 ∈ L(M,N⊥) and T4 ∈ L(M⊥,N⊥). Note that PM

denotes the projection corresponding toM.

In fact T1 =PNT PM, T2 =PNT(1−PM), T3 = (1−PN)T PM and T4 = (1−PN)T(1−PM).

The proof of the following Lemma can be found in [5, Corollary 1.2.] or [3, Lemma 1.1.].

Lemma 1.2. Suppose thatT ∈ L(X,Y) has closed range. ThenT has the following matrix decom-position with respect to the orthogonal decomdecom-positions of closed submodules X = ran(T∗)⊕ker(T) and Y = ran(T)⊕ker(T∗):

T =

T1 0

0 0

:

ran(T∗) ker(T)

ran(T) ker(T∗)

,

where T1 is invertible. Moreover

T† =

T1−1 0 0 0

:

ran(T) ker(T∗)

ran(T∗) ker(T)

.

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Lemma 1.3. Suppose that X,Y andZ are HilbertA-modules,T ∈ L(X,Y) and S ∈ L(Y,Z) have closed ranges,A∈ L(Y).Then the equation

T XS=A , X ∈ L(Z,X) (1.1)

has a solution if and only if

T T†AS†S =A.

In which case, any solution X to equation (1.1) is of the form

X = T†AS†+V −T†T V SS†,

where V ∈ L(Z,X) is arbitrary.

2. Main results

In this section, we find explicit solution to the operator equation

T XS∗−SX∗T∗ =A, (2.1)

in the general setting of the adjointable operators between Hilbert C∗-modules, whenT, S have closed ranges and S is self adjoint operator. Hence equation (2.1) get into

T XS−SX∗T∗ =A. (2.2)

Lemma 2.1. Suppose that Y,Z are Hilbert A-modules and T ∈ L(Z,Y) is an invertible operator,

A∈ L(Y). Then the following statements are equivalent:

(a) There exists a solution X ∈ L(Y,Z) to the operator equation T X −X∗T∗ =A. (b) A=−A∗

If (a) or (b) is satisfied, then any solution to equation

T X−X∗T∗ =A , X ∈ L(Y,Z) (2.3)

has the form

X = 1 2T

−1A+T−1Z, (2.4)

where Z ∈ L(Y) satisfying Z∗ =Z.

Proof .(a)⇒(b): Obvious.

(b) ⇒ (a): Note that, if A = −A∗ then X = 1 2T

−1A+T−1Z is a solution to equation (2.3). The

following sentences state this claim

T(1 2T

−1

A+T−1Z)−(1 2A

(T∗)−1+Z∗(T∗)−1)T∗

= 1 2(T T

−1

A−A∗(T∗)−1T∗) +T T−1Z −Z∗(T∗)−1T∗

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On the other hand, let X be any solution to equation (2.3). ThenX =T−1A+T−1X∗T∗. We have

X = T−1A+T−1X∗T∗

= 1 2T

−1A+ 1

2T

−1A+T−1X∗ T∗

= 1 2T

−1A+T−1(1

2A+X

∗ T∗).

TakingZ = 1

2A+X

T, we get Z=Z.

Theorem 2.2. Let X,Y,Z be Hilbert A-modules, A, S ∈ L(X), T ∈ L(Y,X) such that S is self adjoint, both S and T have closed ranges, and AS†S = A and T†S†S = T†. Then the following statements are equivalent:

(a) There exists a solution X ∈ L(X,Y) to equation (2.2). (b) A=−A∗ and (1−T T†)A(1−T T†) = 0.

If (a) or (b) is satisfied, then any solution to equation (2.2) has the form

X = T†AS†−1

2T

AT T†S†+T†ZT T†S†+V −T†T V SS†, (2.5) where Z ∈ L(X) satisfies T∗(Z−Z∗)T = 0 and V ∈ L(X) is arbitrary.

Proof . (a)⇒(b): Obviously,A=−A∗. Also,

(1−T T†)A(1−T T†) = (1−T T†)(T XS∗−SX∗T∗)(1−T T†) = (T −T T†T)XS∗(1−T T†)−(1−T T†)SX∗(T∗−T∗T T†) = 0.

(b)⇒(a): Note that the condition (1−T T†)A(1−T T†) = 0 is equivalent to A=AT T†+T T†A− T T†AT T†. On the other hand, since T∗(Z −Z∗)T = 0, then (Z − Z∗)T ∈ ker(T∗) = ker(T†). ThereforeT†(Z −Z∗)T = 0 or equivalently T T†ZT T†−T T†Z∗(T†)∗T∗ = 0. Hence we have

T T†AS†S−1

2T T

AT T†S†S+T T†ZT T†S†S+T(V −T†T V SS†)S − SS†A∗(T†)∗T∗ +1

2SS

T T†A∗(T†)∗T∗+S†T T†Z∗(T†)∗T∗+S†(V∗−SS†V∗T†T)T∗

= AT T†+T T†A−T T†AT T†+T T†ZT T†−T T†Z∗(T†)∗T∗ =A.

That is, any operator X of the form (2.5) is a solution to equation (2.2).

Since T has closed range, we have Z = ran(T∗)⊕ker(T) and Y = ran(T)⊕ker(T∗). Now, T has the matrix form

T =

T1 0

0 0

:

ran(T∗) ker(T)

ran(T) ker(T∗)

,

whereT1 is invertible. On the other hand,A=−A∗ and (1−T T†)A(1−T T†) = 0 imply that A has

the form

A =

A1 A2

−A∗2 0

:

ran(T) ker(T∗)

ran(T) ker(T∗)

,

where A1 = −A∗1. Since T has closed range, so X = ran(T)⊕ker(T

) and Y = ran(T)ker(T),

and hence operatorX has the following matrix form

X =

X1 X2

X3 X4

:

ran(T) ker(T∗)

ran(T∗) ker(T)

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Now by using matrix form for operators T, X and A, we have

T1 0

0 0

X1 X2

X3 X4

S1 S2

S2∗ S4

S1 S2∗

S2 S4

X1∗ X3∗ X2∗ X4

T1∗ 0 0 0

=

A1 A2

−A∗2 0

,

or equivalently

T1X1S1 +T1X2S2∗−S1X1∗T1∗−S2X2∗T1∗ T1X1S2 +T1X2S4

−S2∗X1∗T1∗−S4X2∗T

1 0

=

A1 A2

−A∗2 0

.

Therefore

T1(X1S1+X2S2∗)−(S1X1∗+S2X2∗)T

1 = A1, (2.6)

T1X1S2+T1X2S4 = A2. (2.7)

By Lemma 1.2,T1 is invertible. Hence, Lemma 2.1 implies that

X1S1+X2S2∗ =

1 2T

−1

1 A1+T1−1Z1, (2.8)

whereZ1 ∈ L(ran(T)) satisfyZ1∗ =Z1. Now, multiplyingT1−1 from the left to equation (2.7), we get

X1S2+X2S4 =T1−1A2. (2.9)

Now, by applying equations (2.8) and (2.9), we have

X1 X2

0 0

S1 S2

S2∗ S4

=

1 2T

−1

1 A1+T1−1Z1 T1−1A2

0 0

. (2.10)

On the other hand, since

Z =

Z1 Z2

Z3 Z4

:

ran(T) ker(T∗)

ran(T) ker(T∗)

, then 1 2T †

AT T†=

1 2T

−1 1 A1 0

0 0

, T†ZT T†=

T1−1Z1 0

0 0

and

T†A(1−T T†) =

0 T−1A 2

0 0

and

T†T X =

X1 X2

0 0

.

Consequently equation (2.10) gets into

T†T XS = 1 2T

AT T†+T†ZT T†+T†A(1−T T†) (2.11) = T†A− 1

2T

AT T†+T†ZT T†

whereZ ∈ L(X) satisfies T∗(Z−Z∗)T = 0. By multiplication S†S on the right and T†T on the left to equation (2.11) and by these facts that AS†S =A, T†S†S =T† and Lemma 1.3 implies that

X = T†AS†−1

2T

AT T†S†+T†ZT T†S†+V −T†T V SS†,

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References

[1] H. Braden,The equations ATX±XTA=B, SIAM J. Matrix Anal. Appl. 20 (1998) 295–302.

[2] D.S. Djordjevic,Explicit solution of the operator equationA∗X+X∗A=B, J. Comput. Appl. Math. 200 (2007) 701–704.

[3] D.S. Djordjevic and N.C. Dincic,Reverse order law for the Moore-Penrose inverse, J. Math. Anal. Appl. 361 (2010) 252–261.

[4] E.C. Lance, Hilbert C∗-Modules, LMS Lecture Note Series 210, Cambridge Univ. Press, 1995.

[5] M. Mohammadzadeh Karizaki, M. Hassani, M. Amyari and M. Khosravi, Operator matrix of Moore-Penrose inverse operators on Hilbert C∗-modules, Colloq. Math. 140 (2015) 171–182.

[6] Q. Xu, L. Sheng, Y. Gu,The solutions to some operator equations, Linear Algebra Appl. 429 (2008) 1997–2024. [7] Q. Xu and L. Sheng, Positive semi-definite matrices of adjointable operators on Hilbert C∗-modules, Linear

Algebra Appl. 428 (2008) 992–1000.

References

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