How Do Rank Properties of Idempotent Matrices Affect Their Sum?

  • Thread starter Thread starter mpegwmvavi
  • Start date Start date
  • Tags Tags
    Linear
Click For Summary

Homework Help Overview

The discussion revolves around the properties of idempotent matrices, specifically focusing on the ranks of an idempotent matrix A and the identity matrix I. The original poster attempts to show that the sum of the ranks of A and (A-I) equals the dimension of the space, n.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants explore the relationship between the ranks of A and (A-I), questioning how the ranks relate to the nullities of these matrices. There is a focus on eigenvalues and their implications for the ranks.

Discussion Status

Some participants have provided insights into the dimensions of the null spaces and how they relate to the ranks. However, there is still uncertainty regarding the equation that connects these ranks and nullities, indicating that further clarification is needed.

Contextual Notes

The original poster expresses difficulty in understanding a specific equation related to ranks and nullities, suggesting that there may be assumptions or definitions that require further examination.

mpegwmvavi
Messages
2
Reaction score
0

Homework Statement



Suppose A and I are n*n matrices and I is a unit matrix ,and A is an idempotent matrix,ie, A=A^2 .

Show that if rankA=r and rank(A-I)=s,then r+s=n

Homework Equations



no

The Attempt at a Solution



I know that if A is an idempotent matrix ,it will have eigenvalues either 0 or 1.

(Proof: Ax=(A^2)x ,and Ax=λx so(A^2)x = A(Ax)=Aλx=λ(Ax)=(λ^2) x

thus, λx=(λ^2) x →(λ-1)λx=0. Suppose x is a nonzero eigenvector, λ = 1 or 0. )

that is, if x1 and x2 are eigenvectors associated with eigenvalue 0 and 1 respectively,

then, A(x1)=0(x1)=0, (a)

and A(x2)=1(x2)=x2

so(A-I)(x2)=0 (b)

Now, I have (a) and (b) , how to show that rankA+rank(A-I)=n?
 
Last edited:
Physics news on Phys.org
You want to show that you can choose a basis of eigenvectors. Then rank(A) is the number of eigenvectors with eigenvalue 1 and rank(A-I) is the number of eigenvectors with eigenvalue 0, right?
 
From equation (a), since we have rankA=r, the dimension of solution space,or in another words, the dimension of null space = nullityA = n-r by fundamental theorem of linear systems. From the same way, we have rank(A-I)=s, so nullity(A-I)=n-s.

Now, if the equation hold,ie,if :rankA+rank(A-I) = nullityA + nullity(A-I),I could complete my proof,ie,r+s=n
but the problem is that I don't get why the equation above,r+s=(n-s)+(n-r),holds.
Could somebody help me,please. I've stuck in this for a long long long~~~~~~~time. Thx.
 
how can i express (-9-7x-15x^2) as a linear combination of F1 (2+x+4x^2) , F2 (1-x+3x^2) and F3 (3+2x+5x^2).
 
209511979 said:
how can i express (-9-7x-15x^2) as a linear combination of F1 (2+x+4x^2) , F2 (1-x+3x^2) and F3 (3+2x+5x^2).
I realize you are new to Physics Forum, but when you tack a totally unrelated problem onto the end of an existing thread, it is called "highjacking" the thread. Instead of adding onto an existing thread, you should start a new thread.

Also, when you post here, you need to provide the complete problem statement (what you have is OK for that), any relevant equations or formulas, and your attempt at the solution.

What does a "linear combination" of functions mean?
 
how can i find an equation for the plane spanned by the vectors V1=(-1,1,1) and V2=(3,4,4).
 
mpegwmvavi said:
From equation (a), since we have rankA=r, the dimension of solution space,or in another words, the dimension of null space = nullityA = n-r by fundamental theorem of linear systems. From the same way, we have rank(A-I)=s, so nullity(A-I)=n-s.

Now, if the equation hold,ie,if :rankA+rank(A-I) = nullityA + nullity(A-I),I could complete my proof,ie,r+s=n
but the problem is that I don't get why the equation above,r+s=(n-s)+(n-r),holds.
Could somebody help me,please. I've stuck in this for a long long long~~~~~~~time. Thx.

You really didn't pay enough attention to post 2.
 

Similar threads

  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
Replies
9
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 9 ·
Replies
9
Views
5K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 8 ·
Replies
8
Views
3K
Replies
15
Views
4K