Next Article in Journal
A Matrix Approach to Vertex-Degree-Based Topological Indices
Previous Article in Journal
Private Partner Prioritization for Public–Private Partnership Contracts in a Brazilian Water Company Using a Multi-Criteria Decision Aid Method
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Additive Results of Group Inverses in Banach Algebras

1
College of Computer and Mathematics, Central South University of Forestry and Technology, Changsha 410004, China
2
School of Big Data, Fuzhou University of International Studies and Trade, Fuzhou 350202, China
*
Author to whom correspondence should be addressed.
Mathematics 2024, 12(13), 2042; https://doi.org/10.3390/math12132042
Submission received: 28 April 2024 / Revised: 22 June 2024 / Accepted: 26 June 2024 / Published: 30 June 2024
(This article belongs to the Section Algebra, Geometry and Topology)

Abstract

:
In this paper, we present new presentations of group inverses for the sum of two group invertible elements in a Banach algebra. We then apply these results to block complex matrices. The group invertibility of certain block complex matrices is thereby obtained.

1. Introduction

A Banach algebra is an algebra A over C , with an identity e, which has a norm · , making it into a Banach space and satisfying e   = 1 , a b     a b , where a , b A . Let X be a Banach space, then L ( X ) , the algebra of all bounded linear operators on X, is a Banach algebra with respect to the usual operator norm. The identity operator I is its unit elements. L ( X ) is noncommutative when dim ( X ) > 1 . An element a in a Banach algebra A has a group inverse, provided that there exists b A such that a = a b a , b = b a b and a b = b a . Such a b is unique if exists, denoted by a # , and is called the group inverse of a. In view of ( a a # ) 2 = ( a a # a ) a # = a a # , a a # is an idempotent of A . The symbol A # denotes the set of all group invertible elements in A . For some examples related to the group inverse in Banach algebras see [1]. As is well known, a square complex matrix A has a group inverse if and only if r a n k ( A ) = r a n k ( A 2 ) . The group invertibility in a ring is attractive. It has interesting applications of resistance distances to the bipartiteness of graphs (see [2,3]). Recently, the group inverse in a Banach algebra or a ring was extensively studied by many authors, e.g., [4,5,6,7,8,9,10]. In [11], Theorem 2.3, Liu et al. presented the group inverse of the combinations of two group invertible complex matrices P and Q under the condition P Q Q # = Q P P # . In Theorem 3.1 of [12], Zhou et al. investigated the group inverse of a + b under the condition a b b # = b a a # in a Dedekind finite ring in which 2 is invertible. Group inverse is very useful, for example, in solving singular differential and difference equations formulated over a Banach space X [13]. In fact, since the structure of the Banach space is mainly considered, we can regard the operators on Banach space X as an element of the Banach algebra L ( X ) of all bounded linear operators on a complex Banach space X. The motivation of this paper is to extend the preceding results to a general setting for Banach algebras.
In Section 2, we present the group inverse for the sum of two group invertible elements in a Banach algebra. Let a , b A # . If a b b # = λ b a a # , then a + b A # . The representation of its group inverse is also given. In Section 3, we apply our results and investigate the group inverse of a block complex matrix
M = A C B D
where A C m × m , B C n × m , C C m × n , D C n × n . This problem is quite complicated, and was extensively studied by many authors. As applications, the group invertibility of certain block complex matrices M is thereby obtained. Additionally, this paper extends the results obtained in Theorem 2.3 of [11], and Theorem 3.1 of [12].
Throughout the paper, all Banach algebras are complex with an identity. Let A be the Banach algebra. We use A 1 to denote the set of all invertible elements in A . λ always stands for a complex number. C m × n stand for the set of all complex m × n matrices.

2. Main Results

Let S = { e 1 , , e n } be a complete set of idempotents in A , i.e., e i e j = 0 ( i j ) , e i 2 = e i ( 1 i n ) and i = 1 n e i = 1 . Then, we have a = i , j = 1 n e i a e j . We write a as the matrix form a = ( a i j ) S , where a i j = e i a e j e i A e j , and call it the Peirce matrix of a relatively to S. We shall use this new technique with relative Peirce matrices and generalize Theorem 2.3 of [11] and Theorem 3.1 of [12] as follows.
Theorem 1. 
Let a , b A # , λ C . If a b b # = λ b a a # ; then, a + b A # . In this case,
( a + b ) # = ( a + b ) ( a # + b # ) 2 , λ = 1 , 1 1 + λ [ a # + b # a # b b # ] + λ 1 + λ [ b π a # + a π b # ] , λ 1 .
Proof. 
Let p = a a # . Write
b = b 1 b 2 b 3 b 4 p , b b # = x 1 x 2 x 3 x 4 p .
Then,
a b b # = a x 1 a x 2 0 0 p , b a a # = b 1 0 b 3 0 p .
Since a b b # = λ b a a # , we have
a x 1 = λ b 1 , x 2 = 0 , b 3 = 0 .
Then,
b = b 1 b 2 0 b 4 p .
Moreover, we have
b # = b 1 # z 0 b 4 # p
for some z A . This implies that
x 1 = b 1 b 1 # , x 3 = 0 , x 4 = b 4 b 4 # .
Therefore,
b b # = b 1 b 1 # 0 0 b 4 b 4 # p .
Since b = ( b b # ) b = b ( b b # ) , we see that
b 2 = ( b 1 b 1 # ) b 2 = b 2 ( b 4 b 4 # ) .
Then,
b 2 = ( b 1 b 1 # ) b 2 ( b 4 b 4 # ) .
Let e 1 = b 1 b 1 # , e 2 = a a # b 1 b 1 # , e 3 = b 4 b 4 # , e 4 = a π b 4 b 4 # . Since a , e 1 a a # A a a # , we write
a = a 1 a 2 a 3 a 4 e 1 a a # A a a # .
Then,
a 1 = x 1 a x 1 = λ x 1 b 1 = λ b 1 b 1 # b 1 = λ b 1 , a 3 = ( a a # e 1 ) a x 1 = a x 1 λ b 1 = 0 .
Moreover, we see that
a 1 , a 4 ( a a # A a a # ) 1 .
Since S = { e 1 , e 2 , e 3 , e 4 } is a complete set of idempotents in A , we have two Peirce matrices of a and b relative to S:
a = a 1 a 2 0 0 0 a 4 0 0 0 0 0 0 0 0 0 0 S ,
b = b 1 0 b 2 0 0 0 0 0 0 0 b 4 0 0 0 0 0 S .
Then,
a + b = ( 1 + λ ) b 1 a 2 b 2 0 0 a 4 0 0 0 0 b 4 0 0 0 0 0 S .
One directly checks that
a # = a 1 1 a 1 1 a 2 a 4 1 0 0 0 a 4 1 0 0 0 0 0 0 0 0 0 0 S ,
b # = b 1 1 0 b 1 1 b 2 b 4 1 0 0 0 0 0 0 0 b 4 1 0 0 0 0 0 S .
Then,
a a # = e 1 0 0 0 0 e 2 0 0 0 0 0 0 0 0 0 0 S , b b # = e 1 0 0 0 0 0 0 0 0 0 e 3 0 0 0 0 0 S .
Case 1. λ = 1 . Then,
a + b = 0 a 2 b 2 0 0 a 4 0 0 0 0 b 4 0 0 0 0 0 S ,
( a + b ) # = 0 a 2 ( a 4 ) 2 b 2 ( b 4 ) 2 0 0 ( a 4 ) 1 0 0 0 0 ( b 4 ) 1 0 0 0 0 0 S .
Since a 1 1 + b 1 1 = a 1 ( b 1 + a 1 ) b 1 1 = a 1 ( 1 + λ ) b 1 b 1 1 = 0 , we see that
a # + b # = 0 a 1 1 a 2 a 4 1 b 1 1 b 2 b 4 1 0 0 a 4 1 0 0 0 0 b 4 1 0 0 0 0 0 S .
Therefore,
( a + b ) ( a # + b # ) 2 = 0 a 2 b 2 0 0 a 4 0 0 0 0 b 4 0 0 0 0 0 S 0 a 1 1 a 2 a 4 1 b 1 1 b 2 b 4 1 0 0 a 4 1 0 0 0 0 b 4 1 0 0 0 0 0 S 2 = ( a + b ) # ,
as desired.
Case 2. λ 1 . Then,
( a + b ) # = ( 1 + λ ) 1 b 1 1 ( 1 + λ ) 1 b 1 1 a 2 a 4 1 ( 1 + λ ) 1 b 1 1 b 2 b 4 1 0 0 a 4 1 0 0 0 0 b 4 1 0 0 0 0 0 S = ( 1 + λ ) 1 b 1 1 b 1 1 a 2 a 4 1 b 1 1 b 2 b 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 S + 0 0 0 0 0 a 4 1 0 0 0 0 0 0 0 0 0 0 S + 0 0 0 0 0 0 0 0 0 0 b 4 1 0 0 0 0 0 S .
We compute that
a # + b # a # b b # = a 1 1 a 1 1 a 2 a 4 1 0 0 0 a 4 1 0 0 0 0 0 0 0 0 0 0 S + b 1 1 0 b 1 1 b 2 b 4 1 0 0 0 0 0 0 0 b 4 1 0 0 0 0 0 S a 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 S = b 1 1 a 1 1 a 2 a 4 1 b 1 1 b 2 b 4 1 0 0 a 4 1 0 0 0 0 b 4 1 0 0 0 0 0 S ,
b π a # = 0 0 0 0 0 a 4 1 0 0 0 0 0 0 0 0 0 0 S , a π b # = 0 0 0 0 0 0 0 0 0 0 b 4 1 0 0 0 0 0 S .
Therefore, we have
1 1 + λ [ a # + b # a # b b # ] + λ 1 + λ [ b π a # + a π b # ] = ( 1 + λ ) 1 b 1 1 b 1 1 a 2 a 4 1 b 1 1 b 2 b 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 S + 0 0 0 0 0 a 4 1 0 0 0 0 0 0 0 0 0 0 S + 0 0 0 0 0 0 0 0 0 0 b 4 1 0 0 0 0 0 S .
Therefore, we have
( a + b ) # = 1 1 + λ [ a # + b # a # b b # ] + λ 1 + λ [ b π a # + a π b # ] ,
as asserted. □
Corollary 1. 
Let a , b A # , λ C . If a a # b = λ b b # a , then a + b A # . In this case,
( a + b ) # = ( a # + b # ) 2 ( a + b ) , λ = 1 , 1 1 + λ [ a # + b # a a # b # ] + λ 1 + λ [ a # b π + b # a π ] , λ 1 .
Proof. 
Let ( R , ) be the opposite ring of R. That is, it is a ring with the multiplication a b = b · a . Applying Theorem 1 to the opposite ring ( R , ) of R, we obtain the result. □
Corollary 2. 
Let a , b A be idempotents, and let λ C . If a b = λ b a , then a + b A # . In this case,
( a + b ) # = ( a + b ) 3 , λ = 1 , a + b 2 + λ 1 + λ a b , λ 1 .
Proof. 
Since a and b are idempotents, we have
a a # b = a b = λ b a = λ b b # a .
Therefore, we establish the result by Corollary 2.2 [8]. □
Theorem 2. 
Let a , b A # , λ C . If a b b # = λ b ( λ 1 ) , then a + b A # . In this case,
( a + b ) # = ( 1 + λ ) 1 b # + b π a # b π + λ ( 1 + λ ) 2 b # a a # b π ( 1 + λ ) 1 b # a b π a # b π .
Proof. 
Let p = b b # . Write a = a 1 a 2 a 3 a 4 p , b = b 0 0 0 p . Then, a 1 = b b # a b b # = λ b b # b = λ b and a 3 = ( 1 b b # ) a b b # = λ ( 1 b b # ) b = 0 . Hence,
a = λ b a 2 0 a 4 p , a + b = ( 1 + λ ) b a 2 0 a 4 p .
Obviously, a 4 = ( 1 b b # ) a ( 1 b b # ) = b π a . We easily check that a 4 # = b π a # b π and a 4 π = 1 b π a b π a # b π = 1 b π a a # b π . Moreover, we have
[ ( 1 + λ ) b ] π a 2 a 4 π = b π b b # a 4 # = b π b b # b π a # b π = 0 .
According to Theorem 2.1 of [8], a + b A # . Further, we have
( a + b ) # = [ ( 1 + λ ) b ] # z 0 a 4 # p ,
where z = [ ( 1 + λ ) 1 b # ] 2 a 2 a 4 π ( 1 + λ ) 1 b # a 2 a 4 # . We compute that
a 2 a 4 π = b b # a b π [ 1 b π a a # b π ] = b b # a b π a π b π ] = b b # a b b # a π b π ] = λ b a a # b π .
Therefore, we have
( a + b ) # = ( 1 + λ ) 1 b # + b π a # b π + [ ( 1 + λ ) 1 b # ] 2 a 2 a 4 π ( 1 + λ ) 1 b # a 2 a 4 # = ( 1 + λ ) 1 b # + b π a # b π + λ ( 1 + λ ) 2 b # a a # b π ( 1 + λ ) 1 b # a b π a # b π ,
as asserted. □
Corollary 3. 
Let a , b A # , λ C . If a a # b = λ a ( λ 1 ) , then a + b A # . In this case,
( a + b ) # = ( 1 + λ ) 1 a # + a π b # a π + λ ( 1 + λ ) 2 a π b b # a # ( 1 + λ ) 1 a π b # a π b a # .
Proof. 
Let ( A , ) be the opposite algebra of A . By applying Theorem 2 to elements b , a in this opposite ring, we obtain the result. □
We demonstrate Theorem 2 by the following numerical example.
Example 1. 
Let A = 1 1 1 3 , B = 0 1 0 1 C 2 × 2 . Then, A and B have group inverses and A B B # = 2 B . Since A # = 3 4 1 4 1 4 1 4 and B # = 0 1 0 1 . By using Theorem 2, we obtain
( A + B ) # = B # + B π A # B π 2 B # A A # B π + B # A B π A # B π = 1 0 1 2 1 2 .

3. Applications

The aim of this section is to present the group invertibility of the block matrix M by using our main results. We are ready to prove the following.
Theorem 3. 
Let A and D have group inverses. If A π B = 0 , D π C = 0 , A C D # = λ C and B C D # = λ D , then M has a group inverse.
Proof. 
Write M = P + Q , where
P = A 0 B 0 , Q = 0 C 0 D .
Since A π B = 0 , D π C = 0 , it follows by Theorem 3.4 of [4] that P and Q have group inverses. Moreover, we obtain
Q # = 0 C ( D # ) 2 0 D # .
We easily check that
P Q Q # = A 0 B 0 0 C 0 D 0 C ( D # ) 2 0 D # = A 0 B 0 0 C D # 0 D # = 0 A C D # 0 B C D # = λ 0 C 0 D = λ Q .
In light of Theorem 2, M = P + Q has a group inverse, as desired. □
Corollary 4. 
Let A and D have group inverses. If C D π = 0 , B A π = 0 , A # B D = λ B and A # B C = λ A , then M has a group inverse.
Proof. 
Applying Theorem 3 to the block matrix
M T = D T B T C T A T ,
we prove that M T has a group inverse. Therefore, we easily check that M = ( M T ) T has a group inverse, as asserted. □
Theorem 4. 
Let A and D have group inverses. If A π C = 0 , D π B = 0 , A # A B = λ A and A # A D = λ C , then M has a group inverse.
Proof. 
Write M = P + Q , where
P = A C 0 0 , Q = 0 0 B D .
Since A π C = 0 , D π B = 0 , by using Theorem 3.4 of [4], we see that P and Q have group inverses. Moreover, we obtain
P # = A # ( A # ) 2 A 0 0 .
Then, we have
P P # Q = A C 0 0 A # ( A # ) 2 A 0 0 0 0 B D = A A # A # A 0 0 0 0 B D = A # A B A # A D 0 0 = λ A C 0 0 = λ P .
In light of Corollary 3, M = P + Q has a group inverse, as desired. □
Corollary 5. 
Let A and D have group inverses. If B D π = 0 , C A π = 0 , C D D # = λ D and A D D # = λ B , then M has a group inverse.
Proof. 
Applying Theorem 4 to the block matrix
M T = D T B T C T A T ,
we easily obtain the result as in Corollary 4. □
It is convenient at this stage to prove the following.
Theorem 5. 
Let A C m × m , D C n × n be idempotents and r a n k ( B ) = r a n k ( C ) = r a n k ( B C ) = r a n k ( C B ) . If A D = λ A C , A ( I C B ) = 0 and D B A π C = 0 , then M has a group inverse.
Proof. 
Since r ( B ) = r ( C ) = r ( B C ) = r ( C B ) , it follows by Lemma 2.3 of [14] that B C and C B have group inverses. Let K = 0 C B 0 . Then, K 2 = C B 0 0 B C . By hypothesis, we have
r a n k ( K 2 ) = r a n k ( C B ) + r a n k ( B C ) = r a n k ( C ) + r a n k ( B ) = r a n k ( K ) .
Then, K has a group inverse.
Write Q : = 0 A π C D π B 0 . Then, we have
Q = A π 0 0 D π 0 C B 0 .
By hypothesis, we see that
Q = 0 C B 0 A π 0 0 D π .
Therefore, N has a group inverse, and
Q # = A π 0 0 D π 0 C ( B C ) # B ( C B ) # 0 .
Let P = A A C D B D . Then, M = P + Q . Clearly, A # A ( D B ) = A D B = λ A , A # A D = A D = λ A C , A π ( A C ) = 0 and D π ( D B ) = 0 . In light of Theorem 4, P has a group inverse. Since A C D π B = 0 , D B A π C = 0 , we check that
P Q = A A C D B D 0 A π C D π B 0 = 0 .
According to Theorem 2.1 of [4], M has a group inverse, as asserted. □
Corollary 6. 
Let A C m × m , D C n × n be idempotents and r a n k ( B ) = r a n k ( C ) = r a n k ( B C ) = r a n k ( C B ) . If A D = λ B D , ( I C B ) D = 0 and B D π C A = 0 , then M has a group inverse.
Proof. 
Applying Theorem 5 to the block matrix
M T = D T B T C T A T ,
we complete the proof as in Corollary 5. □

Author Contributions

Conceptualization, D.L. and H.C.; writing—original draft preparation, D.L.; writing—review and editing, H.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported partially by Science Research Foundation of Education Department of Hunan Province grant number 21C0144.

Data Availability Statement

Data are contained within the article.

Acknowledgments

The authors would like to express their sincere thanks to the anonymous referee for their careful reading and valuable comments that improved the presentation of this work.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Koliha, J.J. A generalized Drazin inverse. Glasg. Math. J. 1996, 38, 367–381. [Google Scholar] [CrossRef]
  2. Carmona, A.; Encinas, A.M.; Jimenez, M.J.; Mitjana, M. The group inverse of some circulant matrices. Linear Algebra Appl. 2021, 64, 415–436. [Google Scholar] [CrossRef]
  3. Sun, L.; Wang, W.; Zhou, J.; Bu, C. Some results on resistance distances and resistance matrices. Linear Multilinear Algebra 2015, 63, 523–533. [Google Scholar] [CrossRef]
  4. Benitez, J.; Liu, X.; Zhu, T. Additive results for the group inverse in an algebra with applications to block operators. Linear Multilinear Algebra 2011, 59, 279–289. [Google Scholar] [CrossRef]
  5. Bu, C.; Zhou, X.; Ma, L.; Zhou, J. On the group inverse for the sum of matrices. J. Aust. Math. Soc. 2014, 96, 36–43. [Google Scholar] [CrossRef]
  6. Cao, C.; Zhang, H.; Ge, Y. Further results on the group inverse of some anti-triangular block matrices. J. Appl. Math. Comput. 2014, 46, 169–179. [Google Scholar] [CrossRef]
  7. Castro-González, N.; Robles, J.; Vélez-Cerrada, J.Y. The group inverse of 2 × 2 matrices over a ring. Linear Algebra Appl. 2013, 438, 3600–3609. [Google Scholar] [CrossRef]
  8. Mihajlović, N.; Djordjević, D.S. On group invertibility in rings. Filomat 2019, 33, 6141–6150. [Google Scholar] [CrossRef]
  9. Mihajlovic, N. Group inverse and core inverse in Banach and C*-algebras. Comm. Algebra 2020, 48, 1803–1818. [Google Scholar] [CrossRef]
  10. Zhang, D.; Mosić, D.; Tam, T.Y. On the existence of group inverses of Peirce corner matrices. Linear Algebra Appl. 2019, 582, 482–498. [Google Scholar] [CrossRef]
  11. Liu, X.; Wu, L.; Benitez, J. On the group inverse of linear combinatons of two group invertible matrices. Electron. J. Linear Algebra 2011, 22, 490–503. [Google Scholar] [CrossRef]
  12. Zhou, M.; Chen, J.; Zhu, X. The group inverse and core inverse of sum of two elements in a ring. Comm. Algebra 2020, 48, 676–690. [Google Scholar] [CrossRef]
  13. Campbell, S.T. The Drazin inverse and systems of second order linear differential equations. Linear Multilinear Algebra 1983, 14, 195–198. [Google Scholar] [CrossRef]
  14. Bu, C.; Zhao, J.; Zheng, J. Group inverse for a class of 2 × 2 block matrices over skew fields. Appl. Math. Comput. 2008, 204, 45–49. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Liu, D.; Chen, H. Additive Results of Group Inverses in Banach Algebras. Mathematics 2024, 12, 2042. https://doi.org/10.3390/math12132042

AMA Style

Liu D, Chen H. Additive Results of Group Inverses in Banach Algebras. Mathematics. 2024; 12(13):2042. https://doi.org/10.3390/math12132042

Chicago/Turabian Style

Liu, Dayong, and Huanyin Chen. 2024. "Additive Results of Group Inverses in Banach Algebras" Mathematics 12, no. 13: 2042. https://doi.org/10.3390/math12132042

APA Style

Liu, D., & Chen, H. (2024). Additive Results of Group Inverses in Banach Algebras. Mathematics, 12(13), 2042. https://doi.org/10.3390/math12132042

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop