Does the notation used for the span part of an eigenvector matter?

  • Context: Undergrad 
  • Thread starter Thread starter amcavoy
  • Start date Start date
  • Tags Tags
    Eigenvector Kernel
Click For Summary
SUMMARY

The notation used for the span part of an eigenvector does not affect its mathematical validity, as all real multiples of a vector are included in the span. In the discussion, the matrix A is defined as A=\begin{pmatrix}3 & 1 \\ 4 & 0\end{pmatrix}, with eigenvalues -1, 0, and 2. The eigenvectors corresponding to these eigenvalues can be represented as span\begin{pmatrix}1 \\ 4\end{pmatrix} for eigenvalue 0 and span\begin{pmatrix}1 \\ -2\end{pmatrix} for eigenvalue 2. The choice of vector representation, such as [-1, 4] or [1, -4], does not change the span.

PREREQUISITES
  • Understanding of eigenvalues and eigenvectors
  • Familiarity with matrix notation and operations
  • Knowledge of linear algebra concepts, specifically spans
  • Ability to interpret mathematical notation
NEXT STEPS
  • Study the properties of eigenvalues and eigenvectors in linear algebra
  • Learn about the concept of vector spans and their implications
  • Explore the relationship between matrix transformations and eigenvalues
  • Investigate the significance of notation in mathematical expressions
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, as well as educators seeking to clarify the concept of vector spans in relation to eigenvectors.

amcavoy
Messages
663
Reaction score
0
If you have the following kernel (I think that's what it's called):

[tex]A-\lambda I=\begin{pmatrix}4 & 1 \\ 4 & 1\end{pmatrix}[/tex]

You could write the eigenvector as:

[tex]\operatorname{span}\begin{pmatrix}1 \\ -4\end{pmatrix}[/tex]

My question is: does it matter how you write the "span" part of it?

For instance, would [tex]\operatorname{span}\begin{pmatrix}-1 \\ 4\end{pmatrix}[/tex] be preferred (or different) than what I have above?

Thanks for your help.
 
Physics news on Phys.org
[tex]A-\lambda I=\begin{pmatrix}4 & 1 \\ 4 & 1\end{pmatrix}[/tex]

doesn't make sense- there's no λ on the right hand side! Did you mean
[tex]A=\begin{pmatrix}4 & 1 \\ 4 & 1\end{pmatrix}[/tex] and that is the linear operator you want to find eigenvectors for?

In that case, there are two eigenvalues: 0 and 2.

Taking 0 as the eigenvalue leads to 4x-y=0 or y= 4x. The eigenvectors are spaned by [1, 4] (not [-1, 4]).
Taking 2 as the eigenvalue leads to 4x-y= 2x or y= -2x. The eigenvectors are spanned by [1, -2].

Because the "span" of a single vector is all real multiples of the vector, and -1 is a real number, it doesn't matter whether you use [-1, 4] or [1, -4] or [-1,2] instead of [1,-2].
 
HallsofIvy said:
[tex]A-\lambda I=\begin{pmatrix}4 & 1 \\ 4 & 1\end{pmatrix}[/tex]

doesn't make sense- there's no λ on the right hand side! Did you mean
[tex]A=\begin{pmatrix}4 & 1 \\ 4 & 1\end{pmatrix}[/tex] and that is the linear operator you want to find eigenvectors for?

In that case, there are two eigenvalues: 0 and 2.

Taking 0 as the eigenvalue leads to 4x-y=0 or y= 4x. The eigenvectors are spaned by [1, 4] (not [-1, 4]).
Taking 2 as the eigenvalue leads to 4x-y= 2x or y= -2x. The eigenvectors are spanned by [1, -2].

Because the "span" of a single vector is all real multiples of the vector, and -1 is a real number, it doesn't matter whether you use [-1, 4] or [1, -4] or [-1,2] instead of [1,-2].

Sorry, I should have elaborated. The original matrix (A) was:

[tex]\begin{pmatrix}3 & 1 \\ 4 & 0\end{pmatrix}[/tex]

And the eigenvalue I was using was -1. I didn't think that mattered in relation to my question (because my ? dealt with notation), but I don't really know all of the terms, so I appologize.

Thanks for answering though, the last part of your post answered my question.
 

Similar threads

  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 23 ·
Replies
23
Views
3K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 8 ·
Replies
8
Views
4K
  • · Replies 10 ·
Replies
10
Views
2K
Replies
31
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
Replies
4
Views
2K