1. Introduction
Let X be a Banach space, and let
stand for the set (algebra) of bounded linear operators on X. We say that an operator
is invertible if there exists an operator
such that
where I stands for the identity operator on any space (
for all x) (for more details about basic properties of generalized inverses, see [1] ).
If T is not invertible, it is convenient looking for a closed subspace of X such that the restriction of T to that subspace is invertible. In that case, we are interested in the algebraic conditions that characterize such a situation. Those characterizations will give us a sort of generalization of the notion of invertibility, and accordingly, they will be called generalized inverses.
In this paper, we explore the case of the subspace determined by the range of the spectral projection. After some preliminaries in the next section, in Section 3 we study the case when 0 is a simple pole of the resolvent function, and the results are extended in the next section to the case of poles of order n. In Section 5, we deal with isolated points and, in the final section, we explore the case of clusters containing the point 0.
2. Preliminaries
Let M and N be closed subspaces of a Banach space X. If every
can be uniquely decomposed as
with
and
, then we write
and we say that M and N decomposes X. In this case, there exists a bounded linear projection P such that
and
.
For a bounded linear operator
we say that a subspace M of X is invariant if
, and
denote the restriction of T to M. If two closed subspaces M and N are invariant for T and
, then we say that M and N decomposes T. If P is the projection on M along N, then M and N decomposes T if and only if P and T commute.
Recall the spectrum of T is the (nonempty compact) set
and the resolvent set of T is
If M and N decomposes T, then
. However,
and
may not be disjoint.
For
, the resolvent function is defined as
This function is analytic in
.
A spectral set for T is a subset Λ of
such that Λ is open and closed in the relative topology of
. For every spectral set Λ for T, there is a Cauchy contour C that separates Λ from
.
For a spectral set Λ and any Cauchy contour separating Λ from
we define
This integral does not depend on the particular choice of the Cauchy contour separating Λ from
since any such Cauchy contour can be continuously deformed in
to C.
Let Λ be a spectral set for T. Then,
is a bounded projection that commutes with T. We call
the spectral projection of the spectral set Λ associated to T. In this case, since
and T commute, we have
and
are invariant subspaces for T. Now, if
and
, then M and N decomposes T,
and
. Notice that, in this case,
(for more details, see [2] ).
3. Simple Poles of the Resolvent
It is clear that
, and, since
implies
, we have
. It follows that
and
are invariant subspaces for T.
Suppose
and
. If
, then
for some
and
. Now, since
,
. Thus
. This shows
.
Let
. Then,
. Let
, then since
, there exists
such that
. Now let
, then
and we have
. Now, since
and
are closed, we have
is closed. Hence,
.
Conversely, if
, we have
. Now, let
and
, then
, thus
and
. Since
always holds, we get
. Thus, we have the following
Proposition 1. Let
, then
and
if and only if
.
From the above proposition it is clear that, if
, then
and
decomposes T. Moreover, in the following theorem we show a matrix form for the operator T.
Theorem 2. Let
. If
, then the restriction
is invertible,
is the zero operator and we have the following matrix form for T:
Proof. Let T has the following matrix form with respect to
:
It is clear that T1 is 1-1 and onto, thus, it is invertible. Also,
for every
, hence T2 is the zero operator on
.
For
,
for every
. Also, for
, since
we have
.
For certain calculations, it is useful to have an algebraic characterization of our situation.
Theorem 3. Let
.
if and only if there exists
such that
and
.
Proof. If
, then, by Theorem 2, we have the following matrix form with respect to this decomposition:
Now, let us define the operator
A direct verification shows that
and
.
Conversely, suppose that there exist
such that
and
. Then, from
We have
. Also, from
We have
.
Remark. It is easy to see that for the operator S in the previous theorem we have even more:
. In general, if for some
there exists an operator
such that
and
, then letting
a direct calculation shows that
,
and
.
Definition 1. We say that
is group invertible if there exists
such that
In this case, we say that S is the group inverse for T. We denote the group inverse
.
Remark. (i) The group inverse is unique if it exists. Indeed, suppose that there were two group inverses S and S' for T, then
(ii) By the uniqueness of the group inverse, Theorem 3 gives us a matrix form for the group inverse for T. For the operator V that satisfies
and
, we can find a matrix representation:
where
is an arbitrary operator. Then,
is the group inverse of T and has the following matrix representation:
It is clear that an invertible operator is group invertible. In the case when T is not invertible, but group invertible, we can say more about the point
.
Theorem 4. Let
. The operator T is group invertible if and only if 0 is a simple pole of the resolvent.
Proof. Suppose T is group invertible. Then, we have the following matrix form for T:
with T1 invertible.
Suppose
has a Laurent expansion at 0 given by
Since T1 is invertible, we have
, thus the resolvent function
is analytic at 0, which implies that the principal part of the Laurent series of
have no terms. On the other hand, since
we have the Laurent series
.
Now, since
and
decompose T, then they decompose
for every n. Thus, the principal part of the Laurent series of
has only the term
. Therefore 0 is a simple pole of the resolvent function
.
Conversely, suppose 0 is a simple pole of the resolvent. Let
be the spectral projection associated with T and the spectral set {0}. Then,
. Moreover, since
, we have
and
decompose T. Thus, we have the following matrix form:
Since
, we have T1 is invertible. Now, define the operator S by
A direct verification shows that S is the group inverse for T.
In the following characterization of group invertibility using projections, we see the central role played by the spectral projection of the spectral set {0}.
Theorem 5. T is group invertible if and only if there exists a projection P such that
is invertible and
. Furthermore, P is the spectral projection of the spectral set {0} associated to T.
Proof. Suppose T is group invertible with group inverse S. From
we have that TS is a projection. Thus,
is also a projection. Now,
and a direct verification show that
is invertible with inverse
. Thus,
is the desired projection.
Conversely, suppose there is a projection
such that
is invertible and
. Let Q be the inverse of
. Then,
. Since T commutes with
, we have that T also commutes with the inverse Q of
. Let
. Then,
Finally, a direct verification shows that
.
Now, since T and P commute, the operator T has the following matrix form with respect to P:
Since
, we have
. Now, since
is invertible and
and
decompose T,
is invertible. But
, hence
is invertible. Thus, for
we have the following matrix form:
Since T1 is invertible,
is invertible for sufficiently small
. Then, for a sufficiently small
, we have that
is invertible. It follows that 0 is an isolated point of
. Hence, {0} is a spectral set for T. Let C be a Cauchy contour separating {0} from
. The spectral projection of the spectral set {0} associated to T is
Notice that, from the above theorem, if T is group invertible, then
is the spectral projection associated to the spectral set {0}. Regarding the proof of Theorem 5, a similar methodology has been adopted in the works of Liu [3] and [4] .
Theorem 6. Let
. The operator T is group invertible if and only if there exist two closed invariant subspaces M and N for T such that
,
is invertible and
.
Proof. Let
be group invertible. Then, by Theorem 4, we can choose
and
.
Conversely, suppose that there exist two closed subspaces M and N of X such that
,
,
,
is invertible and
. Then
and
. Also, for any non-zero vector
in
,
,
, we have
. Thus,
and, by invertibility of
, we have
and
. Since
, it follows
. Similarly we can prove that
. Hence,
by Proposition 1, and using Theorem 4 we see T is group invertible.
4. Poles of the Resolvent of Order n
For an operator
let us define
. We have the following chains:
From
we see that if
for some
, then
for every
. In a similar way, from
we have that if
for some
, then
for every
.
The descent
of T is the smallest
such that
. If there is no such n, then we define
.
The ascent
of T is the smallest
such that
. If there is no such n, then we define
.
Theorem 7. If
and
, then
. Moreover,
Proof. Let
,
.
Fix
and suppose
. Then, there exists
such that
. From
, we have
. Thus
. Hence
.
Fix
and let
be arbitrary. From
, there exists
such that
. Then,
. Hence,
.
Now, letting
and
, and since
and
are closed, we have
It remains to show that
. Let
. We have
with
and
. Then,
. Thus,
and
. Hence,
and
.
Let
. We have
with
and
. Then,
. Then,
and
. Hence
and
.
If the ascent and the descent of T are finite, then we have a nice matrix form, as shown in the following theorem. Recall an operator T is nilpotent if there exists
such that
.
Theorem 8. Let
. If
, then the restriction
is invertible,
is a nilpotent operator and we have the following matrix form for T:
Proof. Consider the following matrix form for T with respect to
:
First, for
. Let
, then there exists x such that
, it follows that T1 is onto. Now let
, then there exists y such that
and
. Hence,
and
. It follows T1 is 1-1. Therefore, T1 is invertible.
For
, note that
, hence T2 is nilpotent.
For
, for every
we have
, thus
. But
, hence
and it follows
.
Finally, for
, for
we have
. But
, hence
and it follows
.
We have a similar characterization as for the group invertibility.
Theorem 9. Let
.
if and only if there exists
such that
,
and
.
Proof. If
, then we have the following matrix form with respect to this decomposition:
with T1 invertible and T2 nilpotent. Now, let us define the operator
A direct verification shows that
,
and
.
Conversely, suppose that there exists
such that
,
and
. Then, from
We have
. Also, from
We have
. Now, the result follows from Proposition 1.
Remark. (i) We say that
is Drazin invertible if there exists
and
such that
The least n that satisfies above condition is called the Drazin index of T. In this case, we say that S is the Drazin inverse for T. We denote the Drazin inverse
.
(ii) Notice that from
we get that
and
.
(iii) The Drazin inverse is unique if it exists. Indeed, suppose
is Drazin invertible and S and
are Drazin inverses for T. Then,
In a similar way,
and
.
The group and the Drazin inverses are related as follows:
Theorem 10. T is Drazin invertible if and only if Tn is group invertible for some
.
Proof. Suppose T is Drazin invertible with Drazin inverse S and Drazin index n. Then,
,
and
.
Conversely, suppose Tn is group invertible for some
. Then,
. From Theorem 9, T is Drazin invertible.
Now we characterize the Drazin invertibility using the spectrum.
Theorem 11. Let
. The operator T is Drazin invertible of index n if and only if 0 is a pole of the resolvent of order n.
Proof. Suppose T is Drazin invertible of index n. Then, we have the following matrix form for T:
with T1 invertible and T2 nilpotent.
Suppose
has a Laurent expansion at 0 given by
Since T1 is invertible, we have
, thus the resolvent function
is analytic at 0, which implies that the principal part of the Laurent series of
have no terms. On the other hand, since T2 is nilpotent of degree n, then the principal part of the Laurent series of
has n terms.
Now, since
and
decompose T, then they decompose Bn for every n. Thus, the principal part of the Laurent series of
has only n terms. Therefore 0 is a pole of order n of the resolvent function
.
Conversely, suppose 0 is a pole of the resolvent of order n. Let
be the spectral projection associated with T and the spectral set {0}. Then,
. Moreover, since
, we have
and
decompose T. Thus, we have the following matrix form:
Since
, we have T1 is invertible. Since
and 0 is a pole of order n, we have
. Now, define the operator S by
A direct verification shows that S is the Drazin inverse for T.
Slight modifications in the proofs of Theorems 5 and 6 give us the following:
Theorem 12. (i) T is Drazin invertible if and only if there exists a projection P such that
is invertible and
is nilpotent. Moreover, P is the spectral projection of the spectral set {0} associated to T.
(ii) The operator T is Drazin invertible if and only if there exists two closed invariant subspaces M and N for T such that
,
is invertible and
is nilpotent.
5. Isolated Points of the Spectrum
Let
. The quasinilpotent part of T is defined by
and the analytical core is the set
It is known that both of
and
are (not necessary closed) invariant for T subspaces of X,
. Furthermore, 0 is an isolated point in
if and only if
and
are closed. Additionally,
and
(for more details, see [5] ).
Theorem 13. Let
. If
,
closed, then the restriction
is invertible,
is quasinilpotent, and we have the following matrix forms for T:
Moreover, for the operator
define with
We have
Proof. From
, we have T1 is 1-1, and from
we have T1 is onto. Therefore, T1 is invertible.
Let
, then
, thus T2 is quasi-nilpotent.
Finally, from
and
, the matrix form follows.
Definition 2. We say that
is Koliha-Drazin invertible if there exists
such that
In this case, we say that S is the Koliha-Drazin inverse for T. We denote the Koliha-Drazin inverse
.
The next theorem give us some basic properties of Koliha-Drazin inverse.
Theorem 14. (i) The Koliha-Drazin inverse is unique if it exists.
(ii) The operator T is Koliha-Drazin invertible if and only if 0 is an isolated point of the spectrum.
(iii) The operator T is Koliha-Drazin invertible if and only if there exists two closed invariant subspaces M and N for T such that
,
is invertible and
is quasinilpotent.
6. Clusters
Let
and
the set of all sequences
in X such that
for all
and
.
Let
and
. The generalized quasinilpotent part and the generalized analytic core are defined by
We have that
and
.
Theorem 15. Let
and
. If
, then the restriction
is invertible,
satisfies
, and we have the following matrix form for T:
Proof. Let
and
. Since
, it follows T1 is 1-1. Also, since
it follows T1 is onto. Hence,
is invertible.
Since
, the spectral radius
. Let
. Since
and
is invertible, we have
. Then, for every
we have
. Therefore,
.
Finally, from
and
the matrix form follows.
Theorem 16. Let
and
. If
, then there exists S such that
,
and
.
Proof. Since
we have
with T1 invertible and
. Let
be defined by
Then, a direct verification shows
and
. From
it follows that
and
are projections, and the matrix forms shows that
and
. Then
and
. Thus,
and
. Since
, it follows
.
We say that
is Λ-Drazin invertible if there exists
such that
In this case, we say that S is the Λ-Drazin inverse for T. We denote the Λ-Drazin inverse
(for more details, see [6] ).
Theorem 17. Let
. The operator T is Λ-Drazin invertible if and only if Λ is a spectral set for T such that
.
Proof. Suppose T is Λ-Drazin invertible and let
. Then
and
are projections which commute with T. It follows
and
and
are invariant for T.
Let
and
. If
then
, thus
. Hence T1 is 1-1. Now, if
then from
we have
. Let
, then
. Hence T1 is onto. It follows T1 is invertible.
Since
and
decompose T, we have
. Also,
and
. From
and
it follows
. Hence
and
are disjoint isolated sets of T.
Now, if
, then
and
. It follows
. Thus,
. Hence Λ is a spectral set of
and
.
Conversely, suppose Λ is an spectral set for T. Let
be the spectral projection of the spectral set Λ associated to T, then we have the following matrix form
Since
and
, we have T1 is invertible. Let
be defined by
Then, a direct verification shows
,
and
. Since
and
We have
. Also, since
and
We have
. Finally, since
and
are disjoint we have
.
Remark. From the proof of Theorem 6.1 we see that if for some
we have
, then
is contained in the disc
and
is contained in the annulus
. To see that the converse also holds, suppose that for some r we have that
is spectral set of T, and let P be the spectral projection associated to T and Λ. Then, T is Λ-Drazin invertible with inverse
. From the matrix forms
We see that
and
. We will show
and
.
: let
and let
. Then
.
: let
. Then, there exists a sequence
such that
. Thus,
. Hence
.
: let
, then
.
: let
. Since
, we have
. Hence,
and
.
7. Conclusions and Final Remarks
Let
, if there exists S such that
we say that S is an inner inverse for T. If
holds, then S is called an outer inverse for T. From 0, it follows inner invertibility which implies outer invertibility. If S is inner and outer inverse for T, then S is called a reflexive inverse for T. Neither inner nor outer inverses are unique. However, if a reflexive inverse for T commutes with T, then it is unique (since it is the group inverse for T).
Outer inverses are not unique. However, if we prescribe the range and null space of the outer inverse, it becomes unique. All inverses discussed in this paper are classes of outer inverses, and all classes satisfy that the range and null space of the outer inverse coincides with the null space and range of the spectral projection associated to a spectral set containing the point 0.
If T is invertible, then
if and only if
, note that in this case
. Now, if T is Λ-Drazin invertible for
, from the matrix form we can write
and
with
and
. Since
,
and
, it follows that for every
,
Generalized inverses satisfying above condition are called spectral inverses. Thus, group, Koliha inverse and Koliha-Drazin inverses are spectral inverses.
Acknowledgements
This work was partially supported by CONAHCYT (Mexico).