Abstract

We deduce the explicit expressions for and of two matrices and under the conditions and . Also, we give the upper bound of .

1. Introduction

The symbol stands for the set of complex matrices, and (for short ) stands for the identity matrix. For , its Drazin inverse, denoted by , is defined as the unique matrix satisfying where is the index of . In particular, if , is invertible and (see, e.g., [13] for details). Recall that for with, there exists an nonsingular matrix such that where is a nonsingular matrix and is nilpotent of index , and (see [1, 3]). It is well known that if is nilpotent, then . We always write .

Drazin [2] proved that in associative ring when are Drazin invertible and . In [4], Hartwig et al. relaxed the condition to and put forward the expression for where . In recent years, the Drazin inverse of the sum of two matrices or operators has been extensively investigated under different conditions (see, [515]). For example, in [7], the conditions are and , in [9] they are and , and in [15], they are and . These results motivate us to investigate how to explicitly express the Drazin inverse of the sum under the conditions and , which are implied by the condition .

The paper is organized as follows. In Section 2, we will deduce some lemmas. In Section 3, we will present the explicit expressions for and of two matrices and under the conditions and . We also give the upper bound of .

2. Some Lemmas

In this section, we will make preparations for discussing the Drazin inverse of the sum of two matrices in next section. To this end, we will introduce some lemmas.

The first lemma is a trivial consequence of [16, Theorem  3.2].

Lemma 2.1. Let , and with , and define Then,

Lemma 2.2. Let . If , then, for any positive integers ,(i),(ii).
Moreover, if , then

Proof. (i)By induction, we can easily get the results.(ii)For , it is evident. Assume that, for , the equation holds, that is, . When , by (i), we have Hence, by induction, we have for any .
Assume . By induction on for (2.3). Obviously, when , it holds by statement (i). Assume that it holds for , that is, . When , Hence (2.3) holds for any .

Lemma 2.3. Let . Suppose that and . Then, for any positive integer , where the binomial coefficient .
Moreover, if are nilpotent with and , then is nilpotent and its index is less than .

Proof. We will show by induction that (2.6) holds. Trivially, (2.6) holds for . Assume that (2.6) holds for , that is, Then, for , we have, by Lemma 2.2, Hence (2.6) holds for any .
If are nilpotent with and , then taking in (2.6) yields , that is, is nilpotent of index less than .

Lemma 2.4 (see [1, Theorem  7.8.4]). Let . If , then and .

Lemma 2.5. Let and be invertible. If , then
Moreover, if is nilpotent of index , then is invertible and

Proof. Since , by Lemma 2.4,
Note that the nilpotency of with commuting with implies that is nilpotent of index . Thus, is invertible and so is , and

Lemma 2.6. Let with , where is invertible and is nilpotent of index , and let be partitioned conformably with . Suppose that and . Then, and
Moreover, if is nilpotent of index , then .

Proof. Since by Lemma 2.2, that is, namely, Thus, because the invertibility of . So from and , it follows, respectively, that and that Since , and then . From this, we can easily verify Therefore, if , then .

3. Main Results

In this section, we will give the explicit expressions for and , under the conditions and . Now, we begin with the following theorem.

Theorem 3.1. Let with and be nilpotent with . If and , then

Proof. If , then is invertible, and therefore . So, by Lemma 2.5, (3.1) holds.
Now assume that and, without loss of generality, can be written as , where is invertible and is nilpotent of index . So . Since and , we can write , partitioned conformably with , by Lemma 2.6, as follows: where are nilpotent since is nilpotent. We also write , partitioned conformably with .
Since is nilpotent and is invertible, by Lemma 2.5, Also, the nilpotency of implies by Lemma 2.3.
By (2.15), . Hence, by Lemma 2.1, the argument above, and (2.14), we have By (3.3), it is easy to verify that Since , we have by Lemma 2.6, and, therefore, by (3.5), Analogous to the argument above, we can see, by Lemma 2.5,
Thus, putting (3.6) and (3.7) into (3.4) yields the first equation of (3.1).
Similar to the discussion of (3.6), we have and then putting them into (3.4) yields the second equation of (3.1).

The following theorem is our main result, and Theorem 3.1 and Lemma 2.5 can be regarded as its special cases.

Theorem 3.2. Let with and . If and . Then,(i)(ii)

Proof. If , then is invertible and . So, by Lemmas 2.4 and 2.5, (3.9) and (3.12) hold, respectively. Therefore, assume that , and, without loss of generality, let , where is invertible and is nilpotent of index . From hypotheses, by Lemma 2.6, we can write partitioned conformably with , and those equations in Lemma 2.6 hold. By Lemma 2.1, therefore, we have (i) By (2.14) and (2.15), By (2.17) and Lemma 2.2, . By Lemma 2.4 and (3.16), we have As a result, (3.9) holds.(ii)By Lemma 2.6, and then, by Lemma 2.1, we have By Lemma 2.5, we have and, therefore, By (3.1), we have Thus, substituting (3.19), (3.21), and (3.20) in (3.18) yields (3.12).

Note that implies and .

Corollary 3.3 (see [14, Theorem 2]). If with and , then

Proof. From (3.19) and Lemma 2.5, we can obtain

Since for some . Thus, we have the following corollary.

Corollary 3.4. Let with and . Suppose and . If there exist two positive integers and such that and , then
If is a perturbation of , then, we have the following result in which has an upper bound. Before the theorem, let us recall that if , then is invertible and

Theorem 3.5. Let with and . Suppose and . If , then

Proof. Since , is invertible. Then by (3.12), we have In order to verity (3.26), we need to calculate the 2-norms of the right-hand side of the above equation. By (3.25), Let and . Then, Thus By the above argument, we can get (3.26).

Finally, we give an example to illustrate our results.

Example 3.6. Consider the matrices We observe that and , but . It is obvious that , and Since , is invertible and By (3.12), We can compute . On the other hand, it is easy to get that , , . By (3.26), we get the upper bound of is , it is bigger than and close to the exact norm.

Acknowledgments

The authors would like to thank the referees for their helpful comments and suggestions. This work was supported by the National Natural Science Foundation of China (11061005), the Ministry of Education Science and Technology Key Project under Grant 210164, and Grants (HCIC201103) of Guangxi Key Laboratory of Hybrid Computational and IC Design Analysis Open Fund.