Eigenspace and basis of eigenvectors

Click For Summary

Homework Help Overview

The discussion revolves around finding the eigenspaces for a given matrix and proving the impossibility of forming a basis of R3 solely from its eigenvectors. The subject area includes linear algebra, specifically eigenvalues and eigenvectors.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the calculation of eigenvalues and eigenvectors, with some questioning the correctness of the characteristic polynomial. There is also exploration of the definitions of eigenspaces and bases, particularly regarding the inclusion of the zero vector.

Discussion Status

The discussion is active with participants providing insights and corrections regarding the calculations of eigenvalues and eigenvectors. Some guidance has been offered on the definitions of eigenspaces and the requirements for a basis in R3, but no consensus has been reached on the implications of these definitions.

Contextual Notes

Participants note the importance of having three linearly independent vectors to form a basis for R3, which is a central point of contention in the discussion. There is also mention of potential confusion regarding the terminology used in the context of eigenspaces and bases.

Locoism
Messages
77
Reaction score
0

Homework Statement


Given the matrix
0 1 0
0 0 1
-3 -7 -5

Find the eigenspaces for the various eigenvalues
Prove that there cannot be a basis of R3 consisting entirely of eigenvectors of A

Homework Equations


The Attempt at a Solution


The eigenvectors are not a problem, I end up with (λ+3)(λ+1)2 so my eigenvalues are -3 and -1. Substituting in I get [1, -3, 9] and [1, -1, 1]. Now would the eigenspace simply be {[1, -3, 9], [1, -1, 1], [0, 0, 0]} or am I missing some other step?

Also, how can I prove there cannot be a basis of R3 consisting of eigenvectors of A? Could it just be because there must be n vectors in a basis of Rn?
 
Last edited:
Physics news on Phys.org
Locoism said:

Homework Statement


Given the matrix
0 1 0
0 0 0
-3 -7 -5

Find the eigenspaces for the various eigenvalues
Prove that there cannot be a basis of R3 consisting entirely of eigenvectors of A


Homework Equations





The Attempt at a Solution


The eigenvectors are not a problem, I end up with (λ+3)(λ+1)2 so my eigenvalues are -3 and -1. Substituting in I get [1, -3, 9] and [1, -1, 1]. Now would the eigenspace simply be {[1, -3, 9], [1, -1, 1], [0, 0, 0]} or am I missing some other step?
Don't include the zero vector. It can't be a vector in a basis.
Locoism said:
Also, how can I prove there cannot be a basis of R3 consisting of eigenvectors of A? Could it just be because there must be n vectors in a basis of Rn?
For R3, any basis must contain 3 linearly independent vectors. Since your basis contains only two vectors, these two vectors could not possibly span R3, and so aren't a basis for R3.
 
Locoism said:

Homework Statement


Given the matrix
0 1 0
0 0 0
-3 -7 -5

Find the eigenspaces for the various eigenvalues
Prove that there cannot be a basis of R3 consisting entirely of eigenvectors of A


Homework Equations





The Attempt at a Solution


The eigenvectors are not a problem, I end up with (λ+3)(λ+1)2 so my eigenvalues are -3 and -1. Substituting in I get [1, -3, 9] and [1, -1, 1]. Now would the eigenspace simply be {[1, -3, 9], [1, -1, 1], [0, 0, 0]} or am I missing some other step?

Also, how can I prove there cannot be a basis of R3 consisting of eigenvectors of A? Could it just be because there must be n vectors in a basis of Rn?

Your characteristic polynomial is wrong. So the eigenvalues and eigenvectors are too. Did you put the correct matrix in the problem statement?
 
Dick makes a good point. After putting in all that effort to find eigenvalues and eigenvectors, you should at least check your work. If x is an eigenvector with eigenvalue \lambda, then it should be true that Ax = \lambdax.
 
Aaahhh sorry, I missed a 1, it's corrected now
 
Locoism said:
Aaahhh sorry, I missed a 1, it's corrected now

That's better. Now listen to Mark44 on the basis part of the question.
 
Thank you. So I know I can't have the zero vector as part of a basis, but should it be included in the eigenspace? or is the eigenspace juste a basis of the eigenvectors? The terminology confuses me a little.
 
The eigenspace is the set of all linear combinations of the basis vectors. The eigenspace is a vector space, which like all vector spaces, includes a zero vector.

No one is asking you to list the eigenspace (an impossible task) - just a basis for it.
 
Locoism said:
Thank you. So I know I can't have the zero vector as part of a basis, but should it be included in the eigenspace? or is the eigenspace juste a basis of the eigenvectors? The terminology confuses me a little.

Be careful. You have two different eigenspaces here. One corresponding to the eigenvalue -3 and another to the eigenvalue -1. What's a basis for each?
 
  • #10
Oh ok so basis for lambda=-3 is span(1, -3, 9) and for -1 it is span(1, -1, 1).
Why is it that there can't be a basis for R3 of only eigenvectors?
 
  • #11
Locoism said:
Oh ok so basis for lambda=-3 is span(1, -3, 9) and for -1 it is span(1, -1, 1).
Why is it that there can't be a basis for R3 of only eigenvectors?

It's basically what you said. To span R3 you need three linearly independent eigenvectors. The eigenspaces only give you two.
 
  • #12
Alright thank you so much guys, this was really helpful. Is there some way to +rep or something?
 
  • #13
Locoism said:
Alright thank you so much guys, this was really helpful. Is there some way to +rep or something?

If you mean a ratings boost, no, we don't have that. Thanks is enough. Very welcome.
 
  • #14
Same here. Posters don't always say "thank you," but it's appreciated when they do.
 

Similar threads

Replies
5
Views
2K
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 12 ·
Replies
12
Views
3K
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K