Characterizations of operator Birkhoff-James orthogonality
Mohammad Sal Moslehian, Ali Zamani

TL;DR
This paper characterizes Birkhoff-James orthogonality in Hilbert C*-modules and operators, introduces a Pythagorean relation for bounded operators, and explores new approximate orthogonality concepts.
Contribution
It provides novel characterizations of operator orthogonality, a Pythagorean relation, and a new approximate orthogonality in the context of Hilbert C*-modules and bounded operators.
Findings
Characterizations of strong Birkhoff-James orthogonality for Hilbert C*-modules.
A Pythagorean relation for bounded linear operators.
Conditions for orthogonality involving norm attaining sets and subspace structures.
Abstract
In this paper, we obtain some characterizations of the (strong) Birkhoff--James orthogonality for elements of Hilbert -modules and certain elements of . Moreover, we obtain a kind of Pythagorean relation for bounded linear operators. In addition, for we prove that if the norm attaining set is a unit sphere of some finite dimensional subspace of and , then for every , is the strong Birkhoff--James orthogonal to if and only if there exists a unit vector such that and . Finally, we introduce a new type of approximate orthogonality and investigate this notion in the setting of inner product -modules.
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Characterizations of operator Birkhoff -James orthogonality
Mohammad Sal Moslehian1 and Ali Zamani1,2
1Department of Pure Mathematics, Ferdowsi University of Mashhad, P.O. Box 1159, Mashhad 91775, Iran
2Department of Mathematics, Farhangian University, Iran
Abstract.
In this paper, we obtain some characterizations of the (strong) Birkhoff–James orthogonality for elements of Hilbert -modules and certain elements of . Moreover, we obtain a kind of Pythagorean relation for bounded linear operators. In addition, for we prove that if the norm attaining set is a unit sphere of some finite dimensional subspace of and , then for every , is the strong Birkhoff–James orthogonal to if and only if there exists a unit vector such that and . Finally, we introduce a new type of approximate orthogonality and investigate this notion in the setting of inner product -modules.
Key words and phrases:
Hilbert -module; Birkhoff–James orthogonality; strong Birkhoff–James orthogonality; approximate orthogonality.
2010 Mathematics Subject Classification:
46L05, 46L08, 46B20
1. Introduction and preliminaries
Let denote the linear space of all bounded linear operators between Hilbert spaces and . By we denote the identity operator. When , we write for . By we denote the algebra of all compact operators on , and by the algebra of all trace–class operators on . Let be the unit sphere of . For , let denote the set of all vectors in at which attains norm, i.e., For the symbol denotes the minimum modulus of .
Inner product -modules generalize inner product spaces by allowing inner products to take values in an arbitrary -algebra instead of the -algebra of complex numbers.
In an inner product -module over a -algebra the following Cauchy–Schwarz inequality holds (see also [1]):
[TABLE]
Consequently, defines a norm on . If is complete with respect to this norm, then it is called a Hilbert -module, or a Hilbert -module over . Any -algebra can be regarded as a Hilbert -module over itself via . For every the positive square root of is denoted by . In the case of a -algebra, we get the usual notation By we denote the set of all states of , that is, the set of all positive linear functionals of whose norm is equal to one.
Furthermore, if , then gives rise to a usual semi-inner product on , so we have the following useful Cauchy -Schwarz inequality:
[TABLE]
We refer the reader to [11, 17, 20] for more information on the basic theory of -algebras and Hilbert -modules.
A concept of orthogonality in a Hilbert -module can be defined with respect to the - valued inner product in a natural way, that is, two elements and of a Hilbert -module over a -algebra are called orthogonal, in short , if .
In a normed linear space there are several notions of orthogonality, all of which are generalizations of orthogonality in a Hilbert space. One of the most important is concept of the Birkhoff–James orthogonality: if are elements of a complex normed linear space , then is orthogonal to in the Birkhoff–James sense [6, 16], in short , if
[TABLE]
The central role of the Birkhoff–James orthogonality in approximation theory, typified by the fact that is a best approximation of from a linear subspace of if and only if is a Birkhoff–James orthogonal projection of on to . By the Hahn -Banach theorem, if are two elements of a normed linear space , then if and only if there is a norm one linear functional of such that and . If we have additional structures on a normed linear space , then we obtain other characterizations of the Birkhoff -James orthogonality see [3, 5, 13, 22, 25] and the references therein.
In Section 2, we present some characterizations of the Birkhoff–James orthogonality for elements of a Hilbert -module and elements of . Next, we will give some applications. In particular, for with , we prove that there exists a unique such that
[TABLE]
As a natural generalization of the notion of Birkhoff–James orthogonality, the concept of strong Birkhoff–James orthogonality, which involves modular structure of a Hilbert -module was introduced in [2]. When and are elements of a Hilbert -module , is orthogonal to in the strong Birkhoff–James sense, in short , if
[TABLE]
i.e. if the distance from to , the -submodule of generated by , is exactly . This orthogonality is “between” and , i.e.,
[TABLE]
while the converses do not hold in general (see [2]). It was shown in [2] that the following relation between the strong and the classical Birkhoff -James orthogonality is valid:
[TABLE]
In particular, by [3, Proposition 3.1], if , then
[TABLE]
If is a full Hilbert -module, then the only case where the orthogonalities and coincide is when is isomorphic to (see [3, Theorem 3.5]), while orthogonalities and coincide only when or is isomorphic to (see [3, Theorems 4.7, 4.8]). Further, by [3, Lemma 4.2], we have
[TABLE]
and
[TABLE]
In Section 2, we obtain a characterization of the strong Birkhoff–James orthogonality for elements of a -algebra. We also present some characterizations of the strong Birkhoff–James orthogonality for certain elements of In particular, for we prove that if , where is a finite dimensional subspace of and , then for every , if and only if there exists a unit vector such that and .
For given , elements in an inner product -module are said to be approximately orthogonal or -orthogonal, in short , if . For , it is clear that every pair of vectors are -orthogonal, so the interesting case is when .
In an arbitrary normed space , Chmieliński [7, 8] introduced the approximate Birkhoff–James orthogonality by
[TABLE]
Inspired by the above the approximate Birkhoff–James orthogonality, we propose a new type of approximate orthogonality in inner product -modules.
Definition 1.1**.**
For given elements of an inner product -module are said to be approximate strongly Birkhoff -James orthogonal, denoted by , if
[TABLE]
In Section 3, we investigate this notion of approximate orthogonality in inner product -modules. In particular, we show that
[TABLE]
while the converses do not hold in general.
As a result, we show that if is a linear mapping between inner product -modules such that for all , then
[TABLE]
Some other related topics can be found in [14, 15, 23, 24].
2. Operator (strong) Birkhoff -James orthogonality
The characterization of the (strong) Birkhoff -James orthogonality for elements of a Hilbert -module by means of the states of the underlying -algebra are known. For elements of a Hilbert -module the following results were obtained in [2, 5]:
[TABLE]
and
[TABLE]
In the following result we establish a characterization of the Birkhoff–James orthogonality for elements of a Hilbert -module.
Theorem 2.1**.**
Let be a Hilbert -module and . Then the following statements are equivalent:**
- (i)
.
- (ii)
There exists a positive operator of trace one such that
[TABLE]
Proof.
Let . By (2.1), there exists a state over such that and For every , we therefore have
[TABLE]
Thus
[TABLE]
Now, by [20, Theorem 4.2.1], there exists a positive operator of trace one such that , . Thus we have
[TABLE]
Conversely, if (ii) holds then, since for all , we get
[TABLE]
Hence . ∎
Remark 2.2*.*
Let be a Hilbert -module and . Using the same argument as in the proof of Theorem 2.1 and (2.2) we obtain if and only if there exists a positive operator of trace one such that
[TABLE]
In the following result we establish a characterization of the strong Birkhoff–James orthogonality for elements of a -algebra.
Theorem 2.3**.**
Let be a -algebra, and . Then the following statements are equivalent:**
- (i)
.
- (ii)
There exist a Hilbert space , a representation and a unit vector such that
[TABLE]
Proof.
Suppose that . By (2.2) applied to and using the same argument as in the proof of Theorem 2.1, there exists a state of such that for all . Now, by [11, Proposition 2.4.4] there exist a Hilbert space , a representation and a unit vector such that for any we have Hence
[TABLE]
for all
The converse is obvious. ∎
Corollary 2.4**.**
Let be a unital -algebra with the unit . For every self-adjoint noninvertible , there exist a Hilbert space , a representation and a unit vector such that
[TABLE]
Proof.
Since is noninvertible, is noninvertible as well. Therefore there is a state of such that . We have and
[TABLE]
Thus by (2.2) we get . Hence, by Theorem 2.3, there exist a Hilbert space , a representation and a unit vector such that for all . ∎
Now, we are going to obtain some characterizations of the (strong) Birkhoff–James orthogonality in the Hilbert -module . Let . It was proved in [4, Theorem 1.1 and Remark 3.1] and [2, Proposition 2.8], that (resp. ) if and only if there is a sequence of unit vectors such that
[TABLE]
When is finite dimensional, it holds that (resp. ) if and only if there is a unit vector such that
[TABLE]
The following results are immediate consequences of the above characterizations.
Corollary 2.5**.**
Let be an isometry and be an invertible positive operator. Then .
Corollary 2.6**.**
Let . Then the following statements are equivalent:**
- (i)
* is non-invertible.*
- (ii)
* for every unitary operator .*
Proof.
By [10, Proposition 3.3], is not invertible if and only if
[TABLE]
for every unitary operator . Hence, by using (2.3), the statements are equivalent. ∎
Corollary 2.7**.**
Let . Then the following statements hold:**
- (i)
If then if and only if there is a unit vector such that and
- (ii)
If then if and only if there is a sequence of unit vectors such that \lim_{n\rightarrow\infty}\big{(}\|T\|{\xi}_{n}-|T|{\xi}_{n}\big{)}=0 and
- (iii)
If then if and only if there is a unit vector such that and
- (iv)
If then if and only if there is a sequence of unit vectors such that \lim_{n\rightarrow\infty}\big{(}\|T\|{\xi}_{n}-|T|{\xi}_{n}\big{)}=0 and
Proof.
(i) Let . Take the same vector as in (2.4). So, we have
[TABLE]
This forces and thus , as asserted.
The converse is trivial.
Using (2.3) and (2.4), we can similarly prove the statements (ii)-(iv). ∎
Theorem 2.8**.**
Let . Let be a closed subspace of and be the orthogonal projection onto . Then the following statements hold:**
- (i)
If then if and only if there is a unit vector such that
- (ii)
If then if and only if there is a sequence of unit vectors such that
Proof.
(i) Let . By (2.4), there is a unit vector such that and We have where and . Since and , so we get . Hence
The converse is trivial.
(ii) Let . Take the vector sequence of as in (2.3). We have where and . Since and , so we get . We may assume that for every . Let us put . We have
[TABLE]
whence
[TABLE]
Since and , from the above equality we get .
The converse is trivial. ∎
Theorem 2.9**.**
Let . Then the following statements are equivalent:**
- (i)
.
- (ii)
**
where is the minimum modulus of .
Proof.
(i)(ii) Let and . By (2.3), there exists a sequence of unit vectors such that and We have
[TABLE]
for all and . Thus
[TABLE]
When , by using (2.4), we can similarly prove the statement (ii).
(ii)(i) This implication is trivial. ∎
Remark 2.10*.*
Notice that for it is straightforward to show that if and only if is bounded below, or equivalently, is left invertible. So in the implication (i)(ii) of Theorem 2.9, if is left invertible then .
It is well known that Pythagoras’ equality does not hold in . The following result is a kind of Pythagorean inequality for bounded linear operators.
Corollary 2.11**.**
Let with . Then there exists a unique , such that
[TABLE]
Proof.
The function attains its minimum at, say, (there may be of course many such points) and hence . So, by Theorem 2.9, we have
[TABLE]
Now, suppose that is another point satisfying the inequality
[TABLE]
Choose to get
[TABLE]
Hence . Since , we get , or equivalently, . This shows that is unique. ∎
Let . For every , it is easy to see that if there exists a unit vector such that and then . The question is under which conditions the converse is true. When the Hilbert space is finite dimensional, it follows from Corollary 2.7 (iii) that there exists a unit vector such that and .
The following example shows that the finite dimensionality in the statement (iii) of Corollary 2.7 is essential.
Example 2.12**.**
Consider operators defined by
[TABLE]
and
[TABLE]
One can easily observe that and . So, by (1.1), we get . But there does not exist such that .
We now settle the problem for any infinite dimensional Hilbert space. The proof of Theorem 2.13 is a modification of one given by Paul et al. [21, Theorem 3.1].
Theorem 2.13**.**
Let and . If , where is a finite dimensional subspace of and , then for every the following statements are equivalent:**
- (i)
.
- (ii)
There exists a unit vector such that and .
- (iii)
There exists a unit vector such that and .
Proof.
(i)(ii) Suppose (i) holds. By (2.3), there exists a sequence of unit vectors in such that
[TABLE]
For each we have
[TABLE]
where and .
Since is a finite dimensional subspace and , so has a convergent subsequence converging to some element of . Without loss of generality we assume that . Since , so
[TABLE]
and
[TABLE]
Now for each non-zero element , by hypothesis and so . Thus
[TABLE]
Hence . By the equality case of Cauchy–Schwarz inequality for some and therefore
[TABLE]
By (2.5), (2.6) and (2.8) we have
[TABLE]
whence by (2.7) we reach
[TABLE]
By the hypothesis and so by (2.9) there does not exist any non-zero subsequence of . So we conclude that for all . Hence (2.5), (2.7) imply
[TABLE]
(ii)(iii) This implication follows from the proof of Corollary 2.7.
(iii)(i) This implication is trivial. ∎
Corollary 2.14**.**
Let and . If , where is a finite dimensional subspace of and , then there exists a unit vector such that and .
Proof.
By (1.2), T\perp^{s}_{B}\big{(}\|T\|^{2}T-TT^{*}T\big{)}. So, by Theorem 2.13, there exists a unit vector such that and \big{(}\|T\|^{2}T-TT^{*}T\big{)}^{*}T\xi=0. Thus . ∎
Corollary 2.15**.**
Let and let be a nonzero positive operator. If , where is a finite dimensional subspace of and , then for every the following statements are equivalent:**
- (i)
.
- (ii)
There exists a unit vector such that and .
Proof.
Obviously, (ii)(i).
Suppose (i) holds. By Theorem 2.13, there exists a unit vector such that and . Since , . Therefore, , as . ∎
3. An approximate strong Birkhoff -James orthogonality
Recall that in an inner product -module and for , we say are approximate strongly Birkhoff -James orthogonal, in short , if
[TABLE]
The following proposition states some basic properties of the relation .
Proposition 3.1**.**
Let and be an inner product -module. Then the following statements hold for every :**
- (i)
.
- (ii)
* for all .*
- (iii)
.
- (iv)
.
- (v)
* for all .*
Proof.
(i) Let . Also, suppose that is an approximate unit for . We have
[TABLE]
Since and , we get . Thus .
The converse is obvious.
(ii) Let and let . Excluding the obvious case we have
[TABLE]
Hence .
(iii) Let . For any we have
[TABLE]
Thus , or equivalently, .
(iv) Let . Hence for any and an approximate unit for we have
[TABLE]
Since , whence we get , or equivalently, .
(v) Let and let be an approximate unit for . We have
[TABLE]
for all and all . Since , we obtain from the above inequality
[TABLE]
for all and all . Thus for all .
The converse is trivial. ∎
Proposition 3.1 shows that in an arbitrary inner product -module the relation is weaker than the relation and this relation is weaker than the relation , but the converses are not true in general (see the example below).
Example 3.2**.**
Suppose that . Consider , regarded as an inner product -module. Let and . Then
[TABLE]
for all . Hence . But not since
[TABLE]
On the other hand, for any we have
[TABLE]
Therefore . But not since
[TABLE]
By combining Proposition 3.1 (iv) and [19, Theorem 3.5] we obtain the following result (see also [9, 12, 18]).
Corollary 3.3**.**
Let be inner product -modules, and a linear mapping satisfying . Then
[TABLE]
Proposition 3.4**.**
Let . Let be elements in an inner product -module such that , then .
Proof.
We assume that . Since therefore for every we have
[TABLE]
or equivalently,
[TABLE]
Hence we get
[TABLE]
Since we obtain from the above inequality
[TABLE]
Thus . ∎
Proposition 3.5**.**
Let be two elements in an inner product -module and let . If there exists a state on such that and for all , then .
Proof.
We assume that . Let . By the Cauchy–Schwarz inequality, we have
[TABLE]
Thus , i.e, . We consider two cases:
If , then we get
[TABLE]
If , then we reach
[TABLE]
Hence . ∎
Proposition 3.6**.**
Let be two elements in an inner product -module and let . If then there exists a state on such that
[TABLE]
Proof.
Suppose that . Because of the homogeneity of relation we may assume, without loss of generality, that . Then, for arbitrary we have
[TABLE]
Since , hence for we get
[TABLE]
On the other side, by Theorem 3.3.6 of [20], there is such that
[TABLE]
Also, we have
[TABLE]
so, we get
[TABLE]
Therefore . Now, by the Cauchy–Schwarz inequality, we reach
[TABLE]
∎
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