Schmidt decomposable products of projections
Esteban Andruchow, Gustavo Corach

TL;DR
This paper characterizes when the product of two orthogonal projections on a Hilbert space admits a singular value decomposition, linking it to orthonormal bases, diagonalizability of their difference, and geometric properties of the Grassmann manifold.
Contribution
It provides a new characterization of operators as products of projections with SVD, connecting algebraic, geometric, and operator-theoretic perspectives.
Findings
Operators $T=PQ$ have SVD iff certain orthonormal bases exist.
$A=P-Q$ is diagonalizable if and only if $T$ has SVD.
Connections to Toeplitz, Hankel, Wiener-Hopf operators and Grassmannian geometry.
Abstract
We characterize operators ( orthogonal projections in a Hilbert space ) which have a singular value decomposition. A spatial characterizations is given: this condition occurs if and only if there exist orthonormal bases of and of such that if . Also it is shown that this is equivalent to being diagonalizable. Several examples are studied, relating Toeplitz, Hankel and Wiener-Hopf operators to this condition. We also examine the relationship with the differential geometry of the Grassmann manifold of underlying the Hilbert space: if has a singular value decomposition, then the generic parts of and are joined by a minimal geodesic with diagonalizable exponent.
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Schmidt decomposable products of projections
Esteban Andruchow and Gustavo Corach
Abstract
We characterize operators ( orthogonal projections in a Hilbert space ) which have a singular value decomposition. A spatial characterizations is given: this condition occurs if and only if there exist orthonormal bases of and of such that if . Also it is shown that this is equivalent to being diagonalizable. Several examples are studied, relating Toeplitz, Hankel and Wiener-Hopf operators to this condition. We also examine the relationship with the differential geometry of the Grassmann manifold of underlying the Hilbert space: if has a singular value decomposition, then the generic parts of and are joined by a minimal geodesic with diagonalizable exponent.
2010 MSC: 47A05, 47A68, 47B35, 47B75.
Keywords: Projections, products of projections, differences of projections.
1 Introduction
Let be a Hilbert space, the space of bounded linear operators, the set of orthogonal projections. In what follows denotes the the range of and its nullspace. Given a closed subspace , the orthogonal projection onto is denoted by . In this paper we study part of the set , namely, the subset of all such that is diagonalizable. Operators in are special cases of generalized Toeplitz operators as well as of Wiener-Hopf operators. As we shall see in a section of examples, they give rise to classical Toeplitz and Wiener-Hopf operators. Therefore this paper can be regarded as the study of operators in these classes, having a diagonal structure.
Also this paper is a kind of sequel to [8], [3] and [4], the first concerned with the whole set , the other two with , where denotes the ideal of compact operators acting in . Compact operators satisfy that is diagonalizable.
We shall say that is S-decomposable if it has a singular value (or Schmidt) decomposition [24],
[TABLE]
where and are orthonormal systems, and . In this case, , are orthonormal bases of , , respectively and , , , for all .
Clearly, is S-decomposable if and only if (equivalently ) is diagonalizable, if and only if is S-decomposable. Also it is clear that if are unitary operators, is S-decomposable if and only if is S-decomposable.
This paper is devoted to the study of the operators which are S-decomposable.
Let us describe the contents of the paper. In Section 2 we prove that is S-decomposable if and only if there exist orthonormal bases of and of such that if . We also prove that is S-decomposable if and only if is diagonalizable. This result is based on a Theorem by Chandler Davis ([10], Theorem 6.1), which characterizes operators which are the difference of two projections. A recent treatment of these operators can be found in [2]. The S-decomposability of is equivalent to that of , and . As a corollary we prove that is diagonalizable if and only if is, the eigenvalues of which are different from correspond with the eigenvalues , with the same multiplicity. Section 3 contains several interesting classes of examples of S-decomposable operators in . If and are Lebesgue measurable set with finite positive measure, define and , for . Here denotes the characteristic function of and , denote the Fourier-Plancherel transform and its inverse. The product is a proper Wiener-Hopf operator, is also known as a concentration operator, and its study is related to mathematical formulations of the Heisenberg uncertainty principle. The reader is referred to [25], [19], [11], [12] for results concerning these products. Under the conditions described above, is a Hilbert-Schmidt operator, thus S-decomposable. This implies that also is S-decomposable (but non compact) when or have co-finite measure. It should be mentioned that the spectral description of the is no easy task (see [25] for the case when , are intervals in ). Another interesting family of examples is obtained if and is decomposed as , where . If , are continuous functions with modulus one, put and . Then is a unitary operator times a Hankel operator with continuous symbol, and therefore a compact operator by a Theorem by Hartman [16]. Then is a unitary operator times a Toeplitz operator, and a non compact S-decomposable operator. On the other hand, using a result by Howland ([18], Theorem 9.2), one can find convenient non-continuous , such that is not S-decomposable.
In Section 4 we prove that, for two closed subspaces of , the operator is S-decomposable if and only if there exist isometries with , such that is a diagonal matrix.
In Section 5 we characterize S-decomposability in terms of what we call Davis’ symmetry : given two projections , the decomposition reduces simultaneously and . They act non trivially on the second subspace . Denote by and the restrictions of and to this subspace. Then the isometric part in the polar decompostion of is a selfadjoint unitary operator which satisfies , . We relate these operator with the differential geometry of the space of projections in (or Grassmann manifold of ). Specifically, with the unique short geodesic curve joining and in . For instance, it is shown that is S-decomposable if and only if the velocity operator of the unique geodesic joining and is diagonalizable.
In Section 5 it is shown that any contraction is the entry of a unitary operator times a product of projections acting in .
2 Products and differences of projections
If , then . This is a result of T. Crimmins (unpublished; there is a proof in [23] Theorem 8). Moreover, Crimmins proved that belongs to if and only if [23]. However, the factorization is one among among many others. In [8], Theorem 3.7, it is proved that if , then if and only if
[TABLE]
In [8], for any the set of all pairs of closed subspaces such that is denoted by . Our first result is a characterization of for S-decomposable . The proof is essentially that of Theorem 4.1 in [4], where is supposed to be a compact element of . We include a proof for the reader’s convenience.
Theorem 2.1**.**
Let be closed subspaces of . Then is S-decomposable if and only if there exist orthonormal bases of , of such that if . In such case, the numbers are the singular values of .
Proof.
Suppose that , are orthonormal bases of , respectively, such that
[TABLE]
Therefore
[TABLE]
In order to get the Schmidt decomposition of , we only need to replace by the appropriate sequence of positive numbers: write and replace by . Then is still an orthonormal basis of , and
[TABLE]
are the singular values in the decomposition
[TABLE]
This shows that is S-decomposable.
Conversely, if is S-decomposable it has a singular value decomposition
[TABLE]
and it holds that . Then
[TABLE]
and
[TABLE]
Using we get, for each
[TABLE]
Then if and . Finally, we can extend the orthonormal bases of and of to orthonormal bases of and . In fact, if and , then
[TABLE]
because
[TABLE]
∎
Next, we show that is S-decomposable if and only if is diagonalizable, and establish the relation between the singular values of and the eigenvalues of . We present this equivalence as two separate theorems, to avoid too long a statement.
Theorem 2.2**.**
Suppose that is S-decomposable with singular values . Then is diagonalizable, with eigenvalues , , plus, eventually, and .
Proof.
Put as above , with and . First note that . Moreover, means that and thus , i.e., and . Then . The same happens for all such that : the associated vectors generate . Note that is trivial in this subspace.
Suppose that . Apparently,
[TABLE]
and
[TABLE]
Then
[TABLE]
Since and , it follows that span a two-dimensional eigenspace for , with eigenvalue . Then
[TABLE]
are orthogonal eigenvectors for , with eigenvalues and , respectively.
The orthogonal systems and can be extended to orthonormal bases of and , respectively (as in the proof of Theorem 2.1). On the extension of the system , i.e., , equals . On the extension of , , equals . Together, these extended systems span , and here is diagonalizable. On the orthogonal complement of this subspace, namely , is trivial. ∎
Remark 2.3**.**
Note that, except for and , the eigenvalues and of have the same multiplicity. Also note that
[TABLE]
and .
The above result has a converse. In [10] Chandler Davis proved that operators are characterized as follows: in the generic part of , namely
[TABLE]
which reduces and , if we denote , and
[TABLE]
there exists a symmetry () such that and
[TABLE]
is characterized by these properties. With these notations we have:
Theorem 2.4**.**
If is diagonalizable with (non nil) eigenvalues () and , then is S-decomposable with singular values and .
Proof.
On the non generic parts , equals zero. In , is
[TABLE]
Thus is diagonal (thus S-decomposable) in . In , after straightforward computations (note that commutes with ) one has
[TABLE]
Since is diagonalizable, and there exists the symmetry associated to and , which intertwines with , it follows that is of the form
[TABLE]
where ) are pairwise orthogonal projections with . The eigenvalues of are different from , because . Fix an orthonormal basis for . The fact that implies that maps (the -eigenspace) onto (the -eigenspace) , and back. Then we can consider for the orthonormal basis given by . Thus also . Then
[TABLE]
and
[TABLE]
It follows that the -dimensional subspace generated by (the orthonormal vectors) and is invariant for . The matrix of restricted to this subspace (in this basis) is
[TABLE]
whose singular values are [math] and . In the orthonormal basis of (paired in this fashion), the operator is block-diagonal, with blocks. It follows that is S-decomposable with singular values and, eventually, . The singular value occurs only if . ∎
Remark 2.5**.**
The multiplicity of as a singular value of is .
Remark 2.6**.**
From the above results, which relate eigenvalues of and singular values of , it follows that if is compact, and either or have infinite rank, then . Indeed, if is compact, the singular values accumulate eventually at [math], and therefore the eigenvalues of accumulate at . However, this result holds with more generality. It is a simple exercise that if are non nil projections in a C∗-algebra such that , then . Our case consists in reasoning in the Calkin algebra: , , where is the quotient homomorphism. Then
[TABLE]
The following result will be useful to provide further examples. In a special case (see Example 3.1 in Section 3), it was proven by M. Smith ([26], Th. 3.1)
Proposition 2.7**.**
* is S-decomposable if and only if is S-decomposable (and therefore if and only if or are S-decomposable).*
Proof.
is S-decomposable if and only if is diagonalizable. This operator acts non trivially only in . Thus, it is diagonalizable if and only if it is diagonalizable in . Adding (equal to the identity in ), one obtains that this latter fact is equivalent to being diagonalizable in . Clearly is diagonalizable if and only if also is, i.e., if and only if is S-decomposable. ∎
As a direct consequence of this fact, one obtains the following corollary
Corollary 2.8**.**
Let be projections. Then is diagonalizable if and only if is diagonalizable. In that case, is an eigenvalue of with if and only if is an eigenvalue of , with the same multiplicity.
Proof.
By the above results, any eigenvalue , where is a singular value of , or equivalently, is an eigenvalue of . On the other hand, from the proof of Proposition 2.7, the eigenvalues of
[TABLE]
are , and . Then again by Theorem 2.2, the eigenvalues of are , and thus the eigenvalues of are . Since is a difference of projections, the eigenvalues and (when ) have the same multiplicity (see [2]), and by the above results, these add up to the multiplicity of as a singular value of . This number clearly equals the multiplicity of as a singular value of . Note that is also a difference of projections, therefore the multiplicities of coincide (). ∎
Remark 2.9**.**
The multiplicity of as an (eventual) eigenvalue of is the dimension of , the multiplicity of is the dimension of , the sum of these multiplicities is the multiplicity of [math] in , or the multiplicity of in . Similarly, the multiplicity of [math] in equals the sum of the multiplicities of [math] and in .
Remark 2.10**.**
To study the examples in the next section, it will also be useful to note that if has infinite rank and is compact, then is S-decomposable but non compact.
3 Examples
Example 3.1**.**
Let be Lebesgue-measurable sets of finite measure. Let be the projections in given by
[TABLE]
where denotes the characteristic function of the set . Equivalently, denoting by the Fourier transform regarded as a unitary operator acting in , then
[TABLE]
In [11] (Lemma 2) it is proven that is a Hilbert-Schmidt operator. See also [12]. Then is S-decomposable (with square summable singular values) These products play a relevant role in operator theoretic formulations of the uncertainty principle [11], [12].
In this case one has the spectral picture of . It is known [19], [12] that
[TABLE]
and is infinite dimensional. Thus is infinite dimensional, , and the eigenvalues of are of the form , where the sequence belongs to . In special cases, e.g. intervals in , the eigenfunctions are known and the eigenvalues have multiplicity one [17].
If one relaxes the condition that the sets be of finite measure, ceases to be compact. Using Proposition 2.7, one obtains non compact examples: replacing the above conditions by or (see also [26], one obtains non-compact, S-decomposable products of projections.
Note also that, due to Theorem 2.1, in the above cases (i.e. both and have finite or co-finite measure), the subspaces and have orthonormal bases and , repectively, which satisfy if .
We study more carefully the case
[TABLE]
not covered above. Straightforward computations (see [19]) show that the operator , acting in is given by
[TABLE]
Let us prove that is non compact. For , let
[TABLE]
Apparently and . Note that
[TABLE]
Changing variables in the first integral and in the second, one obtains
[TABLE]
The second integral, which we shall denote , can be computed. Denote by the usual Laplace transform. Then
[TABLE]
[TABLE]
Let us denote by the left hand integral,
[TABLE]
Lemma 3.2**.**
With the current notations,
[TABLE]
Proof.
Compute
[TABLE]
Integrating by parts, and using that (by means of the L’Hospital rule !), we get
[TABLE]
and that . Then
[TABLE]
[TABLE]
which, by computations similar as above involving the Laplace transform, equals
[TABLE]
Then
[TABLE]
[TABLE]
Then
[TABLE]
[TABLE]
Therefore
[TABLE]
∎
Proposition 3.3**.**
If and , then is non compact, with
[TABLE]
Proof.
If were compact, there would exist a subsequence such that is convergent. By the above lemma, this would imply that the sequence is convergent. This is clearly not the case. For instance,
[TABLE]
which is less than by the geometric-arithmetic inequality. This clearly implies that the sequence of the unit vectors cannot be convergent.
The last assertions follow from the above lemma. ∎
Remark 3.4**.**
Note that Example 3.1 above shows, in particular, that the Volterra-like integral operator
[TABLE]
is unbounded in (though it is a Volterra operator on any finite interval , thus compact with trivial spectrum in , for ). Indeed, if it were bounded, then ,
[TABLE]
would be bounded. But the computations above show that the functions are eigenfunctions for , with unbounded eigenvalues .
Example 3.5**.**
Let where is the -torus, and consider the decomposition
[TABLE]
where is the Hardy space. Let be continuous functions in with for all , and
[TABLE]
Since and are unimodular, the multiplication operators , are unitary in and thus
[TABLE]
Note that is the Hankel operator with symbol , which is compact by Hartman’s theorem [16] (see also Theorem 5.5 in [20]). Thus is compact, and therefore S-decomposable.
Again using Proposition 2.7, one obtains non compact S-decomposable examples. For instance, put now
[TABLE]
In this case
[TABLE]
is decomposable Thus the operator is non-compact and S-decomposable in . Since it acts non trivially in , it follows that the Toeplitz operator is S-decomposable in .
On the other hand, using Theorem 2.2, it follows that
[TABLE]
diagonalizable. In [5] it was shown that are eigenvalues of only if the winding numbers of and do not coincide. The other eigenvalues of are , where are the singular values of , and [math]. Since this operator has closed range (being a Fredholm operator), the eigenvalues do not accumulate at . The nullspace of is infinite dimensional, it contains the subspace .
Again, using Theorem 2.1, one obtains that, with the above hypothesis on and , there exist orthonormal bases and of such that if .
In [18] (Theorem 5.2) J.S. Howland proved that if the function on is on the complement of a finite set at which the lateral limits and exist, and one defines the jump of at to be
[TABLE]
then the absolutely continuous part of the Hankel operator is unitarily equivalent to
[TABLE]
where denotes the operator of multiplication by the variable in . In particular, this implies that if is piecewise with jumps as above, then can be decomposed as a finite direct sum of operators, some of which are multiplication by the variable in of an interval. Clearly these operators are not S-decomposable. Then is not S-decomposable.
Example 3.6**.**
Let , a bounded operator, and the idempotent operator given by the matrix
[TABLE]
Any idempotent in can be expanded in this form. In [1] the reader can find a study of the properties of in terms of those of . Consider and and . Straightforward computations show that and that
[TABLE]
Then
[TABLE]
Apparently, is S-decomposable if and only if is diagonalizable, which is equivalent to being diagonalizable, or S-decomposable. Note also that is compact if and only if is compact.
If one applies Theorem 2.1 to this example, one obtains that is S-decomposable if and only if there exist orthonormal bases of and of the graph of , such that if . This fact can be proved straightforwardly.
4 Moore-Penrose pseudoinverses
Penrose [21] and Greville [13] proved that , for square matrices, the Moore-Penrose inverse of an idempotent matrix is a product of orthogonal projections. More precisely, it holds that
[TABLE]
Since for matrices , Penrose-Greville theorem can be stated as follows: an matrix is idempotent if and only if is a product of two orthogonal projections. This result was extended to infinite dimensional Hilbert space operators in [7] , provided that is supposed to have closed range. In the case that is not closed, there is still a similar characterization, but one needs to define the Moore-Penrose inverse for certain unbounded operators. The reader is referred to [8]. As in example 3.6, if is an idempotent operator, in terms of the decomposition , one has
[TABLE]
where .
Combining the above facts and previous results we obtain the following:
Corollary 4.1**.**
Let be an idempotent operator. Then the following are equivalent:
* is S-decomposable* 2. 2.
* is S-decomposable* 3. 3.
* is S-decomposable.* 4. 4.
* is S-decomposable.* 5. 5.
* is diagonalizable.* 6. 6.
* is diagonalizable.* 7. 7.
There exist orthonormal bases of and of such that if .
Some of these conditions were proven in [1].
Remark 4.2**.**
By a theorem by Buckholtz ([6], Theorem 1), since is the direct sum of and , it follows that is invertible for every idempotent , which in turn implies that is invertible. In fact, for any , is invertible if and only if and , while is invertible if and only if . In geometric terms, is the cosine of the (Dixmier) angle between and , and is the cosine of the angle between and . If is the direct sum of and , these angles coincide and are not zero.
Finally, note that if is S-decomposable with expansion , then
[TABLE]
5 Isometries
Given a subspace with a given orthonormal basis , an isometry is defined,
[TABLE]
whose range is . Observe that, by definition, the set of all S-decomposable operators in can be described as
[TABLE]
The condition of bi-orthogonality of Theorem 2.1 can be written in terms of the corresponding isometries.
Proposition 5.1**.**
Let be closed subspaces of . Then is S-decomposable if and only if there exist isometries , with range and , respectively, such that
[TABLE]
is a diagonal matrix.
Proof.
Suppose that is decomposable, then by Theorem (2.1), there exist orthonormal bases and of and such that if . Consider the isometries
[TABLE]
Then
[TABLE]
i.e. is a diagonal matrix whose entries are .
Conversely, suppose that are isometries with and , such that is a diagonal matrix. Denote by the canonical basis of . Then and form orthonormal bases of and . Moreover
[TABLE]
∎
6 Davis’ symmetry
Let be projections, and consider
[TABLE]
This subspace reduces and , denote by and , as operators acting in . Note that
[TABLE]
and thus is a selfadjoint operator with trivial kernel (and thus dense range) in . Let
[TABLE]
be the polar decomposition. It follows that is a selfadjoint unitary operator, i.e., a symmetry. The fact that
[TABLE]
implies that the symmetry intertwines and :
[TABLE]
Also one recovers and in terms of and the difference , by means of the formulas of the previous section:
[TABLE]
These facts were proved by Chandler Davis in [10]. Then , in the decomposition is given by
[TABLE]
The following result is a straightforward consequence of the results in the previous section:
Proposition 6.1**.**
* is S-decomposable if and only is diagonalizable (equivalently: is diagonalizable). If is an orthonormal system of eigenvectors for , then if .*
Proof.
If , then
[TABLE]
and thus the orthonormal systems and are bi-orthogonal. ∎
Remark 6.2**.**
Suppose that
[TABLE]
Then
[TABLE]
In particular, if all the singular values have multiplicity , then .
Davis’ symmetry is related to the metric geometry of the set of projections in (also called Grassmannian manifold of ). If one measures the length of a continuous piecewise smooth curve , , by means of
[TABLE]
it was shown ([22], [9]) that curves in of the form
[TABLE]
for with , such that is -codiagonal (i.e ) have minimal length along their paths for . That is, any curve joining a pair of projections in this path cannot be shorter that the part of which joins these projections. Given two projections , in [2] it was shown that there exists a unique (, , is -codiagonal) such that if and only if
[TABLE]
Let us denote if such is the case. Also in [2] it was shown that and are related by
[TABLE]
Note that since (always in the case ) , is obtained from by means of the usual function:
[TABLE]
Define the geodesic distance in as
[TABLE]
Porta and Recht proved in [22] that
[TABLE]
Remark 6.3**.**
Formula (2) has a geometric interpretation. The fact that is -codiagonal, is equivalent to saying that and anti-commute, it follows that . Then, in particular , or equivalently
[TABLE]
In other words, the projection (onto the eigenspace where the symmetry acts as the identity) is the midpoint of the geodesic joining and .
From the above facts, the following is apparent:
Corollary 6.4**.**
Let be projections and, as above, the respective reductions to , and let be Davis’ symmetry induced by these. Then
[TABLE]
Thus is S-decomposable if and only if is diagonalizable.
Proof.
Since , then
[TABLE]
Similarly, , and so forth. ∎
Remark 6.5**.**
Since , it also follows that
[TABLE]
and
[TABLE]
Remark 6.6**.**
If the matrix of in terms of is given by
[TABLE]
then
[TABLE]
From this last remark, it follows that
Theorem 6.7**.**
* is S-decomposable if and only if is S-decomposable, if and only if is diagonalizable.*
Proof.
[TABLE]
Thus is diagonalizable if and only if is S-decomposable. Indeed, if is S-decomposable,
[TABLE]
Note that span and span , therefore, they are pairwise orthogonal systems of vectors. Then
[TABLE]
For each fixed , the two dimensional space generated by and reduces . As in a previous argument, can be diagonalized in each of these spaces, providing a diagonalization of the whole operator . The converse statement is apparent. ∎
Finally, let us further exploit formula (2).
Corollary 6.8**.**
If , then
[TABLE]
Proof.
In , , thus
[TABLE]
∎
In particular, if is S-decomposable, with singular values of simple multiplicity, one has the following
Theorem 6.9**.**
Let be S-decomposable, , with of multiplicity . Then is diagonalized as follows
[TABLE]
where
[TABLE]
and (as in the proof of Theorem 2.2)
[TABLE]
Proof.
If is S-decomposable, considering the decomposition of , in the proof of Theorem 2.2,
[TABLE]
for described above. Then
[TABLE]
Recall that , or equivalently, (see remarks before Theorem 2.4). Note that in we have erased the eigenvalues from . Then, using Theorem 2.2, the fact that the singular values of have simple multiplicity implies that the (non nil) eigenvalues of have single multiplicity. These two assertions imply that
[TABLE]
Thus, in the diagonalization of , we may replace by scalar multiples (of modulus one) in order that
[TABLE]
Then
[TABLE]
Thus, by the formula in the above Corollary,
[TABLE]
Note that this is a block diagonal operator, with blocks, given by the subspaces generated by the (orthonormal) vectors and for each . Each block, in this basis, is given by
[TABLE]
whose eigenvalues are and , with (orthonormal) eigenvectors
[TABLE]
respectively, and the proof follows. ∎
Note that since , the logarithms of these eigenvalues have modulus smaller than , a fact predicted by the condition .
Examples 6.10**.**
Let us review the examples in Section 3:
For of finite Lebesgue measure, it is known (see [19], [12]) that
[TABLE]
Thus and . It is also known (see for instance [17]) that in the particular case when and are intervals, the singular values of of have multiplicity one. Moreover the functions and are known to be the prolate spheroidal functions, for precise and (intervals in ) [17]. It follows that one can compute explicitely the eigenvectors of for such intervals . 2. 2.
As in Example 3.5, consider and
[TABLE]
for continuous functions in , of modulus . It was shown in [5] that if and have the same winding number, then
[TABLE] 3. 3.
As in example 3.6, let and a bounded operator, and and . Elementary computations show that
[TABLE]
Thus this nullspace is trivial if and only if has trivial nullspace and dense range. Suppose that this is the case. Also it is straightforward to verify that
[TABLE]
and that
[TABLE]
Then
[TABLE]
Thus
[TABLE]
This computation is apparent if (and thus ) is invertible, but also makes sense when has trivial nullspace and dense range. If are the polar decompositions of , one has
[TABLE]
where can be replaced by .
Therefore
[TABLE]
Suppose now that is S-decomposable, , where since has trivial nullspace and dense range, where and are orthonormal bases of and , respectively. Then
[TABLE]
and is a unitary operators (), with . Let , . Then span a reducing subspace of , , , and in view of the above formulas, also reducing for and . Elementary computations show that the matrix of in the basis of this reducing subspace is
[TABLE]
Let be defined by and (or equivalently, since : ), then the matrix of in this reducing subspace is
[TABLE]
Recall [2] that if and are projections such that , there exists a unique exponent with . In particular, one has the following consequence:
Corollary 6.11**.**
Let with trivial nullspace and dense range, and as in Example 3.6.
- (a)
If is invertible, then the geodesic dictance between and is
[TABLE] 2. (b)
If is non invertible (i.e. is unbounded), then
[TABLE]
Proof.
Suppose that is S-decomposable. If is invertible, , and if is non invertible there exists a decreasing subsequence of singular values of , such that . Thus the claims follow from the previous computations.
Suppose now arbitrary. Clearly can be approximated by positive invertible operators with finite spectrum, in particular, diagonalizable. If , then approximate (as in 6.10.3). Since has trivial nullspace and dense range, is a unitary operator. Then are S-decomposable, with finite singular values (increasingly ordered), . Note that and are continuous functions of . Denote by , and the operators acting in which correspond to . Then
[TABLE]
From the previous case, . If is invertible, . Otherwise, . ∎
Remark 6.12**.**
As mentioned in the beginning of Section 2, if , there may exist many factorizations, and that there exist a canonical factorization
[TABLE]
with the following minimality property: for any , and any other factorization , one has
[TABLE]
. In [3] it was shown that in example 3.1 the factorization is canonical.
In example 3.6 suppose that has trivial nullspace and dense range. Elementary computations show that for ,
[TABLE]
Then and , and this decomposition is also canonical.
Also in [3], it was shown that is a closed proper direct sum, therefore is a different example from , for which is the whole space.
7 Dilations of contractions
Let be a contraction in a Hilbert space . P.R. Halmos showed in [14], that is the corner of a unitary operator acting in , namely
[TABLE]
If
[TABLE]
then
[TABLE]
i.e. factors as a unitary operator times a product of projections, on a bigger space. Apparently, is S-decomposable in if and only if is decomposable in
Moreover, if
[TABLE]
then
[TABLE]
Lemma 7.1**.**
On , one has that
[TABLE]
and
[TABLE]
Proof.
A vector in is of the form \xi=\left(\begin{array}[]{c}\xi_{1}\\ 0\end{array}\right). if and only if
[TABLE]
Note that . Thus implies that .
A vector belongs to if and only if , i.e., .
The other two statements are similar. ∎
Remark 7.2**.**
Straightforward computations show that
[TABLE]
Suppose that (i.e., has trivial nullspace and dense range). If are the polar decompositions (with a unitary operator), then
[TABLE]
With similar computations as above, one sees that if is S-decomposable with singular values , then the spectrum of is . With an argument as in Corollary 6.11, one has:
Corollary 7.3**.**
Let be a contraction in with trivial nullspace and dense range, and , the above projections in .
If is invertible, then
[TABLE] 2. 2.
If is non invertible, then
[TABLE]
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