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International Journal of Mathematics and Statistics Invention (IJMSI)
E-ISSN: 2321 – 4767 P-ISSN: 2321 - 4759
www.ijmsi.org Volume 2 Issue 5 || May. 2014 || PP-44-52
www.ijmsi.org 44 | P a g e
On EPr Bimatrices
G.Ramesh1
, N.Anbarasi2
1
Associate Professor of Mathematics, Govt. Arts College(Autonomous),Kumbakonam.
2
Assistant Professor of Mathematics, Arasu Engineering College,Kumbakonam.
ABSTRACT: The aim of this article is to introduce the notion of EPr bimatrices. This paper is concerned
solely with developing the properties of EPr bimatrices. Real and complex EPr bimatrices are studied for their
own inherent properties and a number of generalizations of the results analogous to EPr matrices have been
obtained.
KEYWORDS: EP bimatrix, EPr bimatrix, Permutation bimatrix AMS classification: 15A09, 15A15, 15A57.
I. INTRODUCTION
The concept of a normal matrix with entries from the complex field was introduced in 1918 by
O.Toeplitz [6] who gave a necessary and sufficient condition that a complex matrix to be normal. Since, then
many researchers have developed the concept and many generalizations of normality were studied. First, results
about EPr complex matrices, a concept introduced by H.Schwerdtfeger in [5] as a generalization of normality
were obtained and then in [3,4] the notion of EPr was extended to matrices over arbitrary fields and applied to
obtain results about normal matrices.
In this paper we introduce the notion of EPr bimatrices as an extension of bimatrices. A complex
matrix A of order n is called EP if the range spaces of Aand
*
A are equal. Greville in [6] termed an EP Matrix
as a range hermitian matrix.
II. ON rEP BIMATRICES
Definition 2.1
Let 1 2BA A A  be a bimatrix. Then the null space of BA is defined by,
   1 20 0B n BN A x A x that is Ax A x       .
Example 2.2
Let 1 2
3 6 1 2 4 1
1 2 2 6 12 0 ( )
2 4 5 4 8 3
BA A A say
       
   
           
          
Here
2
1
0
x
 
 
  
 
 
such that 0BA x  . Hence ( ).Bx N A
Definition 2.3
A bimatrix B nxnA  is said to be EP if it satisfies the condition
*
0 0B BA x A x   (or)
equivalently    *
B BN A N A .
Definition 2.4
A bimatrix 1 2BA A A  is said to be of rank r if both the components of BA ,that is 1A and 2A are of
same rank r.
On EPr Bimatrices
www.ijmsi.org 45 | P a g e
Example 2.5
Let 1 2
1 0 3 1 3
2 1 1 3 ( )BA A A say
     
             
         
Since, both 1A and 2A are of rank 3 then rank of BA is 3.
Remark 2.6
Throughout this paper we consider bimatrices whose components are of same rank.
Definition 2.7
A nxn bimatrix BA with entries from the complex field nxn is called EPr if it satisfies the
following conditions:
(i) BA has rank r.
(ii)
1
0i
n
i B
i
A

  if and only if
1
0
n
i
i B
i
A

 
That is  1 2
1
0i i
n
i
i
A A

   if and only if  1 2
1
0
n
i i
i
i
A A

   where , 1,2,...,i i n  
Remark 2.8
Here iBA denote the ith
row of the bimatrix
i
B BA and A  denote the ith
column
of  1 2BA thatis both A and A   .
Example 2.9
Let 1 2
1 0 1 2 1 2
0 2 0 1 3 1 ( )
1 0 1
BA A A say
      
   
          
        
( ) 0 , 0 ,B
a a
N A a R
a a
      
    
         
         
Here rank BA is 2, Since 1A and 2A are of rank 2. Also the condition i
1 1
0i
n n
i
i B B
i i
A A 
 
    is
satisfied.
Therefore BA is an 2EP bimatrix.
Theorem 2.10
If BA is a bimatrix then the following statements are equivalent :
(i) BA is an nxn EPr bimatrix.
(ii) BA has rank r and there is an nxn bimatrix BN such that
*
B B BA N A .
(iii) BA has rank r and there is a non singular nxn bimatrix BN such that
*
B B BA N A  .
(iv) BA can be represented as,
*
*
*
B B B
B B B
B B B B B
D D X
A P P
X D X D X
 
   
  
* *
1 1 1 2 2 2* *
1 1 2 2* *
1 1 1 1 1 2 2 2 2 2
D D X D D X
P P P P
X D X D X X D X D X
    
       
       
On EPr Bimatrices
www.ijmsi.org 46 | P a g e
*
1 11 *
1 1
1 1
*
2 2 22 *
2 2
2 2
0 0
0 0 0
0 0
0 0 0
r r
r r
I XD
P P
X I
I I XD
P P
X I



      
                
     
               
where BP is a permutation bimatrix and BD is an rxr non singular bimatrix.
(v)
*
0 if and only if 0B BA A       where n  .
To Prove: ( ) ( )v i
If part:
Suppose
1
0i
n
i B
i
A

 where , 1,2...,i i n   
That is 1
1
0i
n
i
i
A

 and 2
1
0i
n
i
i
A

 (1)
Let n
n






 
 
  
 
 
 


Then  1 2
t
B n BA A      
   1 2 1 1 2 2n nA A           
1 2
1 1
i i
n n
i i
i i
A A 
 
  
0t
BA   sin (1)ce by
Taking conjugate transpose on both sides,
 
* *t
B BA A  
Applying (v) we have
0BA  
Thus, i
1
n
i
B
i
A

  .
Only if part:
Suppose i
1
n
i
B
i
A

  where , 1,2,...,i i n   
 i 1
1
n
i
i
A

  and i 2
1
n
i
i
A

   1 2sin Bce A A A 
Let n
n






 
 
  
 
 
 


Then  1 2( )t
B n BA A      
   1 2 1 1 2 2n nA A           
On EPr Bimatrices
www.ijmsi.org 47 | P a g e
= i 1 i 2
1 1
n n
i i
i i
A A 
 
 
( ) 0t
BA  
Taking conjugate transpose on both sides,
 
* *
0t
B BA A   
Applying ( v) we have
0BA  
Thus,
1
0i
n
i B
i
A


Hence
1
0i
n
i B
i
A

 if and only if i
1
0
n
i
B
i
A


 BA is an nxn rEP bimatrix.
To prove ( ) ( )i iv
Let BA be rEP and let the rows 1 21 1 1, , r
A A A  and 1 22 2 2, , r
A A A  be linearly independent.
If
1
0
r
i
i B
i
A

  then
1
0i
r
i B
i
A

 
Hence 1 2 0r     
Thus, 1 2 0r      and so the columns
2
1 1, , r
A A A
   and
2
2 2, , r
A A A
   are linearly independent.
Since the rank of 1A and 2A are r, the sub bimatrices 1D and 2D formed by the elements in the intersection of
rows 1 21 1 1, ,... r
A A A  and the columns
2
1 1 1, , r
A A A
  of 1A and also the rows 1 22 2 2, ,... r
A A A  and the columns
2
2 2, , r
A A A
   of 2A respectively, are an rxr non singular bimatrix [5,P-52].
Now, Premultiply and postmultiply 1 2A and A by the Permutation matrix 1 2,P P and
* *
1 2,P P respectively such that 1 2A and A can be written in the form,
*
1 1 1 1B P A P    1 1
1 1
D E
F G
 
 
 
and
*
2 2 2P A P    =
2 2
2 2
D E
F G
 
 
 
*
B B B BB P A P    =
1 1 2 2
1 1 2 2
B B
B B
D E D E D E
F G F G F G
     
     
     
=
Since the first block row of B1 and B2 are of the same rank r as A1 and A2 and thus BB there is an
( )n r r  bimatrix 1 2BH H H  such that,
   1 1 1 1 1F G H D E   and    2 2 2 2 2F G H D E  
and hence by (1), such that
1 1 *
1
1 1
E D
H
G F
   
   
   
and
2 2 *
2
2 2
E D
H
G F
   
   
   
If 1D and 2D have rank r then 0D  and 0D  
So that 0D    1 2sin Bce D D D  hold for some r 
On EPr Bimatrices
www.ijmsi.org 48 | P a g e
1 1
1 1 1
0
D D
F H D



   
     
   
and
2 2
2 2 2
0 0B B
B B B
D D D D
F H D F H D
 
 
 
       
           
       
Which is a contradiction to the assumption that the first block column of BB has rank r.
With HB as above, let
1 2
1 1 2 2
0 0 0r r r
n r n r n r
B
B
B B
I I I
Q
H I H I H I  
     
       
            
It is verified that
1 2* * * * * *
1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2
0 0
and
0 0 0 0
D D
Q B Q Q P A P Q Q B Q Q P A P Q
   
     
   
=
* ** *1 21 1 1 1 1 1 1 1
1 1 1 1 1 2 2 2 2 2
0 0
and
0 0 0 0
D D
A P Q Q P A P Q Q P          
     
   
1A 
*
*
1 11 11
1 1
1 1 1
0 0
0 0 0
r r BI I XD
P P
X I I
 
     
               
and 2A 
*
*
2 2 21 12
2 2
2 2 2
0 0
0 0 0
r r
I I XD
P P
X I I
 
     
               
1 2BA A A  
 BA 
*
*
1 1
0 0
0 0 0
r rB B BB
B B
B B B
I I XD
P P
X I I
 
     
               
Set
1
B B B BP P X X
    and
1
B BQ Q
 we have,
BA 
*
*0
(1)
0 0 0
r rB B BB
B B
B B B
I I XD
P P
X I I
     
               
To prove    iv iii
Assume that (1) is true.
Set 1 2BQ Q Q  =
1 2
1 1 2 2
0r r rB
B B
I I I
X I X I X I
       
      
      
If
*
B B BQ A Q
0
0 0
BD 
 
 
, where 1 2BQ Q Q  is non singular and DB is rxr non singular bimatrix then,
     
** **
1 2 1 2 1 2B B BQ A Q Q Q A A Q Q

       
 
  
*
* *
1 1 2 2 1 2Q A Q A Q Q

    
 
** *
1 1 1 2 2 2Q A Q Q A Q

     
   
* ** *
1 1 1 2 2 2Q A Q Q A Q

     
 
** * * * *
1 1 1 2 2 2B B BQ A Q Q A Q Q A Q

        
Pre multiply and post multiply by
1
BQ
and
*
1
BQ
   
* **1 * 1 1 * * * * 1
1 1 1 2 2 2B B B B B B BQ Q A Q Q Q Q A Q Q A Q Q
   
        
On EPr Bimatrices
www.ijmsi.org 49 | P a g e
    
*
1 1* * * *
1 2 1 1 1 2 2 2 1 2Q Q Q A Q Q A Q Q Q
 
         
   * *
1 1 * * * * 1 1
1 2 1 1 1 2 2 2 1 2Q Q Q A Q Q A Q Q Q   
       
 * *
1 * * 1 * * 1 1
1 1 1 1 2 2 2 2 1 2Q Q A Q Q Q A Q Q Q   
        
1 1
1 * * * 1 * * *
1 1 1 1 1 2 2 2 2 2Q Q A Q Q Q Q A Q Q
 
 
       
 1*
1 *
sin ce A A



* *
1 2A A 
 
*
1 2A A 
*
BA
* 1 11 2( ) 0
0 0
B B B
D D
A Q Q


  
   
 
=
1 1 1 11 2
1 1 2 2
0 0
0 0 0 0
D D
Q Q Q Q
 
 
      
   
   
1
11 1 11 1
1 1 1 1
1
1
21 1 12 2
2 2 2 2
2
00
0 00
00
0 00
DD D
Q Q Q Q
I
DD D
Q Q Q Q
I


 
  
 
  
     
     
    
     
    
    
1 1 2 2N A N A   
  1 2 1 2N N A A  
= B BN A
where
1
1 1 1
1 1 1
1
0
0
D D
N Q Q
I
 
  
  
 
and
1
1 2 2
2 2 2
2
0
0
D D
N Q Q
I
 
  
  
 
and
1 2,N N are nonsingular.
Proof of    iii ii is evident.
To prove    ii v
Let
*
B B BA N A 
Let  BA denote the null space of BA and let  BN A 
0BA   
That is 1 0A   and 2 0A  
Then  *
B B BA N A   
  1 2 1 2N N A A      
 1 1 2 2N A N A   
   1 1 2 2N A N A   
   1 1 2 2N A N A  
On EPr Bimatrices
www.ijmsi.org 50 | P a g e
   1 20 0N N 
 *
0BA  
   *
B BN A N A 
But, since rank  BA = rank  *
BA
 dim )B BN A n rank A    
*
)Bn rank A  
dim    *
dimB BN A N A
   *
B BN A N A 
Thus, if
*
BA    then BA   
Lemma 2.11
Let BA and BB be nxn EPr bimatrices. Then    B BR A R B if and only if    B BN A N B .
More generally, let BA and BB be nxn bimatrices of rank r then    B BR A R B if and only if
   * *
B BN A N B .
Proof
Let    B BR A R B
By known result, there is a bimatrix BC such that
B B BB A C 
Then,  
** * *
B B B B BB A C C A   
   * *
B BN A N B  (    * *
1 1 1 1 1sinceN A N B if B C A    )
Since rank    * *
B BA rank B  , we have
   * *
B BN A N B
Conversely,
   * *
B BN A N B
By known result, there is a bimatrix BC such that
* * *
B B BA C B 
   * * *
B B B B BA C B B C
 
   
B B BA B C 
   B BR B R A  
But rank    B BA rank B
We have    B BR A R B
Lemma 2.12
Let BA and B be complex n n bimatrices satisfying B B B BA B B A . Then
   * *
B B n B BA B N A N B

    
Proof
On EPr Bimatrices
www.ijmsi.org 51 | P a g e
Let  ,n Bv x N A   and  By N B
 0BA x  and 0BB y   (1)
    ** *
, ,B B B BA B v x y B A v x y    
  , B Bv B A x y  
 , B B B Bv B A x B A y  
   , sinB B B B B B B Bv B A x A B y ceA B B A    
    , B B B Bv B A x A B y  
   ,0 sinv ceby  
   * *
B B B BA B v N A N B

    
   * *
B B n B BA B N A N B

    
Lemma 2.13
Let BA and BB be complex n n bimatrices, satisfying B B B BA B B A . Then
 * *
B B n B BA B N A B


Proof
Let nv and  B Bz N A B
   0B BA B z 
    ** *
, ,B B B BA B v z B A v z
 , B Bv B A z
   , sinB B B B B Bv A B z ce A B B A  
 ,0v
 * *
, 0B BA B v z 
  * *
B B B BA B v N A B


 * *
B B n B BA B N A B
Lemma 2.14
Let BA and BB be complex n n bimatrices satisfying B B B BA B B A . Then
    *
B BB N A N A
 

Proof
Let  Bx N A

 and  By N A
Now,    B B B BA B y B A y
 0 (sin )Bce y N A  
 B BB y N A 
Hence    *
, ,B BB x y x B y
   ,0 (sin )B Bx ceB y N A  
 *
B BB x N A

 
On EPr Bimatrices
www.ijmsi.org 52 | P a g e
    *
B B BB N A N A
 
 
Theorem 2.15
Let rank B BA B rank 1( )BB r and rank( )B BB A  rank 2( )BA r . If B BA B and BB are
1PrE and BA is 2PrE then B BB A is 2PrE .
Proof
If 0BA   then 0B BB A  
Therefore,    B B BN A N B A
Since ( ) )B B Brank A rank B A  ,
We have    B B BN A N B A
Similarly    B B BN B N A B
Then 0B BB A  
0BA  
*
0BA   Since 2PrBA is E 
* *
0B BB A  
0B BA B   Since 2PrBA is E 
0BB  
*
0BB  
* *
0B BA B    
Hence      
** *
B B B B B BN B A N A B N B A    
But  
*
( )B B B Brank B A rank B A  
There fore,
   * *
B B B BN B A N A B  
2B B rB A is EP
   
REFERENCES
[1]. Adi Ben – Israel Thomas N.E.Greville, Genaralized Inverses Theory and Applications, Second Edition.
[2]. Irving Jack Katz and Martin H.Pearl, on EPr and normal EPr matrices,
[3]. Journal of Research of the National Bureau of standards – B.Mathematics and Mathematical physics, vol. 70B, NO.1, January –
March 1966.
[4]. M.Pearl, on Normal and EPr matrices, Michigan Maths.J, 6, 1-5 (1959)
[5]. M.Pearl, on Normal EPr matrices, Michigan Math. J and 33-37 (1961)
[6]. H.Schwerdtfeger, Introduction to linear algebra and the Theory of Matrices. P.Noordhoff, Groningen, 1950.
[7]. Teoplitz,O., Das Algebraische Analagen Zu Einen Satz Von Fejer, Matu, Zeitschrift, 2(1918),187-197.

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F025044052

  • 1. International Journal of Mathematics and Statistics Invention (IJMSI) E-ISSN: 2321 – 4767 P-ISSN: 2321 - 4759 www.ijmsi.org Volume 2 Issue 5 || May. 2014 || PP-44-52 www.ijmsi.org 44 | P a g e On EPr Bimatrices G.Ramesh1 , N.Anbarasi2 1 Associate Professor of Mathematics, Govt. Arts College(Autonomous),Kumbakonam. 2 Assistant Professor of Mathematics, Arasu Engineering College,Kumbakonam. ABSTRACT: The aim of this article is to introduce the notion of EPr bimatrices. This paper is concerned solely with developing the properties of EPr bimatrices. Real and complex EPr bimatrices are studied for their own inherent properties and a number of generalizations of the results analogous to EPr matrices have been obtained. KEYWORDS: EP bimatrix, EPr bimatrix, Permutation bimatrix AMS classification: 15A09, 15A15, 15A57. I. INTRODUCTION The concept of a normal matrix with entries from the complex field was introduced in 1918 by O.Toeplitz [6] who gave a necessary and sufficient condition that a complex matrix to be normal. Since, then many researchers have developed the concept and many generalizations of normality were studied. First, results about EPr complex matrices, a concept introduced by H.Schwerdtfeger in [5] as a generalization of normality were obtained and then in [3,4] the notion of EPr was extended to matrices over arbitrary fields and applied to obtain results about normal matrices. In this paper we introduce the notion of EPr bimatrices as an extension of bimatrices. A complex matrix A of order n is called EP if the range spaces of Aand * A are equal. Greville in [6] termed an EP Matrix as a range hermitian matrix. II. ON rEP BIMATRICES Definition 2.1 Let 1 2BA A A  be a bimatrix. Then the null space of BA is defined by,    1 20 0B n BN A x A x that is Ax A x       . Example 2.2 Let 1 2 3 6 1 2 4 1 1 2 2 6 12 0 ( ) 2 4 5 4 8 3 BA A A say                                    Here 2 1 0 x            such that 0BA x  . Hence ( ).Bx N A Definition 2.3 A bimatrix B nxnA  is said to be EP if it satisfies the condition * 0 0B BA x A x   (or) equivalently    * B BN A N A . Definition 2.4 A bimatrix 1 2BA A A  is said to be of rank r if both the components of BA ,that is 1A and 2A are of same rank r.
  • 2. On EPr Bimatrices www.ijmsi.org 45 | P a g e Example 2.5 Let 1 2 1 0 3 1 3 2 1 1 3 ( )BA A A say                               Since, both 1A and 2A are of rank 3 then rank of BA is 3. Remark 2.6 Throughout this paper we consider bimatrices whose components are of same rank. Definition 2.7 A nxn bimatrix BA with entries from the complex field nxn is called EPr if it satisfies the following conditions: (i) BA has rank r. (ii) 1 0i n i B i A    if and only if 1 0 n i i B i A    That is  1 2 1 0i i n i i A A     if and only if  1 2 1 0 n i i i i A A     where , 1,2,...,i i n   Remark 2.8 Here iBA denote the ith row of the bimatrix i B BA and A  denote the ith column of  1 2BA thatis both A and A   . Example 2.9 Let 1 2 1 0 1 2 1 2 0 2 0 1 3 1 ( ) 1 0 1 BA A A say                                ( ) 0 , 0 ,B a a N A a R a a                                 Here rank BA is 2, Since 1A and 2A are of rank 2. Also the condition i 1 1 0i n n i i B B i i A A        is satisfied. Therefore BA is an 2EP bimatrix. Theorem 2.10 If BA is a bimatrix then the following statements are equivalent : (i) BA is an nxn EPr bimatrix. (ii) BA has rank r and there is an nxn bimatrix BN such that * B B BA N A . (iii) BA has rank r and there is a non singular nxn bimatrix BN such that * B B BA N A  . (iv) BA can be represented as, * * * B B B B B B B B B B B D D X A P P X D X D X          * * 1 1 1 2 2 2* * 1 1 2 2* * 1 1 1 1 1 2 2 2 2 2 D D X D D X P P P P X D X D X X D X D X                     
  • 3. On EPr Bimatrices www.ijmsi.org 46 | P a g e * 1 11 * 1 1 1 1 * 2 2 22 * 2 2 2 2 0 0 0 0 0 0 0 0 0 0 r r r r I XD P P X I I I XD P P X I                                                  where BP is a permutation bimatrix and BD is an rxr non singular bimatrix. (v) * 0 if and only if 0B BA A       where n  . To Prove: ( ) ( )v i If part: Suppose 1 0i n i B i A   where , 1,2...,i i n    That is 1 1 0i n i i A   and 2 1 0i n i i A   (1) Let n n                      Then  1 2 t B n BA A          1 2 1 1 2 2n nA A            1 2 1 1 i i n n i i i i A A       0t BA   sin (1)ce by Taking conjugate transpose on both sides,   * *t B BA A   Applying (v) we have 0BA   Thus, i 1 n i B i A    . Only if part: Suppose i 1 n i B i A    where , 1,2,...,i i n     i 1 1 n i i A    and i 2 1 n i i A     1 2sin Bce A A A  Let n n                      Then  1 2( )t B n BA A          1 2 1 1 2 2n nA A           
  • 4. On EPr Bimatrices www.ijmsi.org 47 | P a g e = i 1 i 2 1 1 n n i i i i A A      ( ) 0t BA   Taking conjugate transpose on both sides,   * * 0t B BA A    Applying ( v) we have 0BA   Thus, 1 0i n i B i A   Hence 1 0i n i B i A   if and only if i 1 0 n i B i A    BA is an nxn rEP bimatrix. To prove ( ) ( )i iv Let BA be rEP and let the rows 1 21 1 1, , r A A A  and 1 22 2 2, , r A A A  be linearly independent. If 1 0 r i i B i A    then 1 0i r i B i A    Hence 1 2 0r      Thus, 1 2 0r      and so the columns 2 1 1, , r A A A    and 2 2 2, , r A A A    are linearly independent. Since the rank of 1A and 2A are r, the sub bimatrices 1D and 2D formed by the elements in the intersection of rows 1 21 1 1, ,... r A A A  and the columns 2 1 1 1, , r A A A   of 1A and also the rows 1 22 2 2, ,... r A A A  and the columns 2 2 2, , r A A A    of 2A respectively, are an rxr non singular bimatrix [5,P-52]. Now, Premultiply and postmultiply 1 2A and A by the Permutation matrix 1 2,P P and * * 1 2,P P respectively such that 1 2A and A can be written in the form, * 1 1 1 1B P A P    1 1 1 1 D E F G       and * 2 2 2P A P    = 2 2 2 2 D E F G       * B B B BB P A P    = 1 1 2 2 1 1 2 2 B B B B D E D E D E F G F G F G                   = Since the first block row of B1 and B2 are of the same rank r as A1 and A2 and thus BB there is an ( )n r r  bimatrix 1 2BH H H  such that,    1 1 1 1 1F G H D E   and    2 2 2 2 2F G H D E   and hence by (1), such that 1 1 * 1 1 1 E D H G F             and 2 2 * 2 2 2 E D H G F             If 1D and 2D have rank r then 0D  and 0D   So that 0D    1 2sin Bce D D D  hold for some r 
  • 5. On EPr Bimatrices www.ijmsi.org 48 | P a g e 1 1 1 1 1 0 D D F H D                  and 2 2 2 2 2 0 0B B B B B D D D D F H D F H D                                   Which is a contradiction to the assumption that the first block column of BB has rank r. With HB as above, let 1 2 1 1 2 2 0 0 0r r r n r n r n r B B B B I I I Q H I H I H I                              It is verified that 1 2* * * * * * 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 0 0 and 0 0 0 0 D D Q B Q Q P A P Q Q B Q Q P A P Q               = * ** *1 21 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 0 0 and 0 0 0 0 D D A P Q Q P A P Q Q P                     1A  * * 1 11 11 1 1 1 1 1 0 0 0 0 0 r r BI I XD P P X I I                         and 2A  * * 2 2 21 12 2 2 2 2 2 0 0 0 0 0 r r I I XD P P X I I                         1 2BA A A    BA  * * 1 1 0 0 0 0 0 r rB B BB B B B B B I I XD P P X I I                         Set 1 B B B BP P X X     and 1 B BQ Q  we have, BA  * *0 (1) 0 0 0 r rB B BB B B B B B I I XD P P X I I                       To prove    iv iii Assume that (1) is true. Set 1 2BQ Q Q  = 1 2 1 1 2 2 0r r rB B B I I I X I X I X I                       If * B B BQ A Q 0 0 0 BD      , where 1 2BQ Q Q  is non singular and DB is rxr non singular bimatrix then,       ** ** 1 2 1 2 1 2B B BQ A Q Q Q A A Q Q               * * * 1 1 2 2 1 2Q A Q A Q Q         ** * 1 1 1 2 2 2Q A Q Q A Q            * ** * 1 1 1 2 2 2Q A Q Q A Q          ** * * * * 1 1 1 2 2 2B B BQ A Q Q A Q Q A Q           Pre multiply and post multiply by 1 BQ and * 1 BQ     * **1 * 1 1 * * * * 1 1 1 1 2 2 2B B B B B B BQ Q A Q Q Q Q A Q Q A Q Q             
  • 6. On EPr Bimatrices www.ijmsi.org 49 | P a g e      * 1 1* * * * 1 2 1 1 1 2 2 2 1 2Q Q Q A Q Q A Q Q Q                * * 1 1 * * * * 1 1 1 2 1 1 1 2 2 2 1 2Q Q Q A Q Q A Q Q Q             * * 1 * * 1 * * 1 1 1 1 1 1 2 2 2 2 1 2Q Q A Q Q Q A Q Q Q             1 1 1 * * * 1 * * * 1 1 1 1 1 2 2 2 2 2Q Q A Q Q Q Q A Q Q              1* 1 * sin ce A A    * * 1 2A A    * 1 2A A  * BA * 1 11 2( ) 0 0 0 B B B D D A Q Q            = 1 1 1 11 2 1 1 2 2 0 0 0 0 0 0 D D Q Q Q Q                    1 11 1 11 1 1 1 1 1 1 1 21 1 12 2 2 2 2 2 2 00 0 00 00 0 00 DD D Q Q Q Q I DD D Q Q Q Q I                                              1 1 2 2N A N A      1 2 1 2N N A A   = B BN A where 1 1 1 1 1 1 1 1 0 0 D D N Q Q I           and 1 1 2 2 2 2 2 2 0 0 D D N Q Q I           and 1 2,N N are nonsingular. Proof of    iii ii is evident. To prove    ii v Let * B B BA N A  Let  BA denote the null space of BA and let  BN A  0BA    That is 1 0A   and 2 0A   Then  * B B BA N A      1 2 1 2N N A A        1 1 2 2N A N A       1 1 2 2N A N A       1 1 2 2N A N A  
  • 7. On EPr Bimatrices www.ijmsi.org 50 | P a g e    1 20 0N N   * 0BA      * B BN A N A  But, since rank  BA = rank  * BA  dim )B BN A n rank A     * )Bn rank A   dim    * dimB BN A N A    * B BN A N A  Thus, if * BA    then BA    Lemma 2.11 Let BA and BB be nxn EPr bimatrices. Then    B BR A R B if and only if    B BN A N B . More generally, let BA and BB be nxn bimatrices of rank r then    B BR A R B if and only if    * * B BN A N B . Proof Let    B BR A R B By known result, there is a bimatrix BC such that B B BB A C  Then,   ** * * B B B B BB A C C A       * * B BN A N B  (    * * 1 1 1 1 1sinceN A N B if B C A    ) Since rank    * * B BA rank B  , we have    * * B BN A N B Conversely,    * * B BN A N B By known result, there is a bimatrix BC such that * * * B B BA C B     * * * B B B B BA C B B C       B B BA B C     B BR B R A   But rank    B BA rank B We have    B BR A R B Lemma 2.12 Let BA and B be complex n n bimatrices satisfying B B B BA B B A . Then    * * B B n B BA B N A N B       Proof
  • 8. On EPr Bimatrices www.ijmsi.org 51 | P a g e Let  ,n Bv x N A   and  By N B  0BA x  and 0BB y   (1)     ** * , ,B B B BA B v x y B A v x y       , B Bv B A x y    , B B B Bv B A x B A y      , sinB B B B B B B Bv B A x A B y ceA B B A         , B B B Bv B A x A B y      ,0 sinv ceby      * * B B B BA B v N A N B          * * B B n B BA B N A N B       Lemma 2.13 Let BA and BB be complex n n bimatrices, satisfying B B B BA B B A . Then  * * B B n B BA B N A B   Proof Let nv and  B Bz N A B    0B BA B z      ** * , ,B B B BA B v z B A v z  , B Bv B A z    , sinB B B B B Bv A B z ce A B B A    ,0v  * * , 0B BA B v z    * * B B B BA B v N A B    * * B B n B BA B N A B Lemma 2.14 Let BA and BB be complex n n bimatrices satisfying B B B BA B B A . Then     * B BB N A N A    Proof Let  Bx N A   and  By N A Now,    B B B BA B y B A y  0 (sin )Bce y N A    B BB y N A  Hence    * , ,B BB x y x B y    ,0 (sin )B Bx ceB y N A    * B BB x N A   
  • 9. On EPr Bimatrices www.ijmsi.org 52 | P a g e     * B B BB N A N A     Theorem 2.15 Let rank B BA B rank 1( )BB r and rank( )B BB A  rank 2( )BA r . If B BA B and BB are 1PrE and BA is 2PrE then B BB A is 2PrE . Proof If 0BA   then 0B BB A   Therefore,    B B BN A N B A Since ( ) )B B Brank A rank B A  , We have    B B BN A N B A Similarly    B B BN B N A B Then 0B BB A   0BA   * 0BA   Since 2PrBA is E  * * 0B BB A   0B BA B   Since 2PrBA is E  0BB   * 0BB   * * 0B BA B     Hence       ** * B B B B B BN B A N A B N B A     But   * ( )B B B Brank B A rank B A   There fore,    * * B B B BN B A N A B   2B B rB A is EP     REFERENCES [1]. Adi Ben – Israel Thomas N.E.Greville, Genaralized Inverses Theory and Applications, Second Edition. [2]. Irving Jack Katz and Martin H.Pearl, on EPr and normal EPr matrices, [3]. Journal of Research of the National Bureau of standards – B.Mathematics and Mathematical physics, vol. 70B, NO.1, January – March 1966. [4]. M.Pearl, on Normal and EPr matrices, Michigan Maths.J, 6, 1-5 (1959) [5]. M.Pearl, on Normal EPr matrices, Michigan Math. J and 33-37 (1961) [6]. H.Schwerdtfeger, Introduction to linear algebra and the Theory of Matrices. P.Noordhoff, Groningen, 1950. [7]. Teoplitz,O., Das Algebraische Analagen Zu Einen Satz Von Fejer, Matu, Zeitschrift, 2(1918),187-197.