Find Eigenvalues & Eigenvectors for Exercise 3 (2), Explained!

In summary, the conversation discusses finding eigenvectors and solving a matrix equation using simple operations. The solution involves finding the determinant of the matrix and solving for possible values of lambda. The conversation also touches on understanding row reduced echelon form and using operations such as subtracting rows and dividing rows to manipulate the matrix. However, it is noted that special treatment is needed in the case where a equals -1.
  • #1
ChiralSuperfields
1,206
132
Homework Statement
Please see below
Relevant Equations
Please see below
For exercise 3 (2),
1686025959535.png
,
The solution for finding the eigenvector is,
1686025997702.png

However, I am very confused how they got from the first matrix on the left to the one below and what allows them to do that. Can someone please explain in simple terms what happened here?

Many Thanks!
 
Physics news on Phys.org
  • #2
You are looking for vectors for which ##Ax=\lambda x##. This is solvable if the determinant of ##A-\lambda I## is zero. Should give you three possible values for ##\lambda## , (different or two or three equal). You then solve ##(A-\lambda I)\vec x=\vec 0## with simple operations like subtracting one row from another.

##\ ##
 
  • Like
Likes ChiralSuperfields
  • #3
ChiralSuperfields said:
Homework Statement: Please see below
Relevant Equations: Please see below

For exercise 3 (2),
View attachment 327486,
The solution for finding the eigenvector is,
View attachment 327487
However, I am very confused how they got from the first matrix on the left to the one below and what allows them to do that. Can someone please explain in simple terms what happened here?

Many Thanks!
When you apply the concept as required; you shall end up with the equation,

##(-1-λ)(λ^2-aλ+λ-a)=0##.

you picked your ##λ=-1## and if you substitute the eigen value back into the matrix, you can confirm that it satisfies the equation.

...

from there, we now have to now deal with the equation, ##(2+2a)x+(1+a)z=0##


 
Last edited:
  • Like
Likes SammyS and ChiralSuperfields
  • #4
BvU said:
You are looking for vectors for which ##Ax=\lambda x##. This is solvable if the determinant of ##A-\lambda I## is zero. Should give you three possible values for ##\lambda## , (different or two or three equal). You then solve ##(A-\lambda I)\vec x=\vec 0## with simple operations like subtracting one row from another.

##\ ##
Thank you for your reply @BvU!

Sorry what operations were used to get from,
1686041103340.png

Orange matrix to pink matrix?

Many thanks!
 
  • #5
chwala said:
When you apply the concept as required; you shall end up with the equation,

##(-1-λ)(λ^2-aλ+λ-a)=0##.

you picked your ##λ=-1## and if you substitute the eigen value back into the matrix, you shall end up with,

still posting
Thank you for your reply @chwala!
 
  • #6
ChiralSuperfields said:
Thank you for your reply @BvU!

Sorry what operations were used to get from,
View attachment 327490
Orange matrix to pink matrix?

Many thanks!
...switching of rows combined with understanding of row reduced echelon form...
 
  • Like
Likes ChiralSuperfields
  • #7
ChiralSuperfields said:
what operations were used to get from orange matrix to pink matrix?
Subtract row 2 from row 3 (gives ##0,0,0##)
Divide row 2 by ##2+2a## (gives ##1,0,{1\over 2}##)
Swap row 1 and 2

:smile:

##\ ##
 
  • Like
Likes ChiralSuperfields and chwala
  • #8
BvU said:
Subtract row 2 from row 3 (gives ##0,0,0##)
Divide row 2 by ##2+2a## (gives ##1,0,{1\over 2}##)
Swap row 1 and 2

:smile:

##\ ##

Note that dividing a row by [itex]2 + 2a[/itex] is only valid if [itex]a \neq -1[/itex]. This case will require separate treatment.
 
  • Like
Likes chwala and ChiralSuperfields
  • #9

1. What is the purpose of finding eigenvalues and eigenvectors?

Finding eigenvalues and eigenvectors allows us to understand the behavior of a linear transformation or a matrix. It helps us identify special directions in which the transformation or matrix only scales the vector, without changing its direction. This can be useful in various applications, such as image processing, data analysis, and quantum mechanics.

2. How do you find eigenvalues and eigenvectors?

To find eigenvalues and eigenvectors, we first need to set up an equation using the matrix or linear transformation. The equation is (A - λI)v = 0, where A is the matrix, λ is the eigenvalue, I is the identity matrix, and v is the eigenvector. We then solve for λ, which gives us the eigenvalues. To find the corresponding eigenvectors, we substitute the eigenvalues back into the equation and solve for v.

3. What is the relationship between eigenvalues and eigenvectors?

Eigenvalues and eigenvectors are related in that the eigenvectors are the directions in which the linear transformation or matrix only scales the vector, and the eigenvalues are the corresponding scaling factors. In other words, the eigenvectors are the special directions that are unchanged by the transformation, and the eigenvalues tell us how much the vector is scaled in those directions.

4. Can a matrix have more than one eigenvalue and eigenvector?

Yes, a matrix can have multiple eigenvalues and corresponding eigenvectors. In fact, most matrices have multiple eigenvalues and eigenvectors. The number of eigenvalues and eigenvectors a matrix has is equal to its dimension.

5. How are eigenvalues and eigenvectors used in real-world applications?

Eigenvalues and eigenvectors are used in various real-world applications, such as image processing, data analysis, and quantum mechanics. In image processing, they can be used to identify important features in an image. In data analysis, they can be used to reduce the dimensionality of a dataset and identify patterns. In quantum mechanics, they are used to describe the behavior of quantum systems.

Similar threads

  • Calculus and Beyond Homework Help
Replies
5
Views
527
  • Calculus and Beyond Homework Help
Replies
10
Views
1K
  • Calculus and Beyond Homework Help
Replies
2
Views
524
  • Calculus and Beyond Homework Help
Replies
3
Views
1K
  • Calculus and Beyond Homework Help
Replies
1
Views
2K
  • Calculus and Beyond Homework Help
Replies
6
Views
1K
  • Calculus and Beyond Homework Help
Replies
8
Views
2K
  • Calculus and Beyond Homework Help
Replies
19
Views
3K
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
  • Calculus and Beyond Homework Help
Replies
20
Views
1K
Back
Top