How Do You Find Eigenvalues and Eigenvectors for a Linear Transformation?

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Homework Help Overview

The discussion revolves around finding eigenvalues and eigenvectors for a linear transformation defined by the function l(x, y) = (x + 5y, 2x + 4y). Participants are tasked with deriving the characteristic equation and identifying the corresponding eigenvalues and eigenvectors.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the characteristic equation derived from the determinant of the matrix associated with the linear transformation. There are attempts to solve for eigenvalues and eigenvectors, with some participants expressing confusion about the process of finding eigenvectors from the equations generated.

Discussion Status

Some participants have successfully identified eigenvalues of -1 and 6, while others are exploring the corresponding eigenvectors. There is a mix of attempts to clarify the matrix setup and the equations derived from it, with some participants questioning the accuracy of the matrix used in the calculations.

Contextual Notes

Participants are working under the constraints of homework rules, which may limit the amount of direct guidance provided. There is an ongoing exploration of assumptions related to the matrix setup and the calculations leading to the eigenvectors.

says
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Homework Statement


Given the linear transformation l : R 2 → R 2 defined below, find characteristic equation, real eigenvalues and corresponding eigenvectors. a) l(x, y) = (x + 5y, 2x + 4y)

Homework Equations


characteristic equation = det (A-λI) = 0

The Attempt at a Solution


l(x, y) = (x + 5y, 2x + 4y)

A =
[ 1 + 5 ]
[ 2 + 4 ]

det (A-λI) = 0 =
[ 1-λ + 5 ]
[ 2 + 4-λ ]

determinant works out to be

D =
2 - 5λ - 6) = 0

so eigenvalues are -1 and 6.

D =
[-1 0]
[ 0 6]

to get eigenvectors we multiply the original matrix A by D

[1 5 ] [ -1 0]
[ 2 4] [ 0 -1]

=
[ -1 -5 ]
[ -2 -4 ]

This is where I'm stuck

=
[ -1 -5 ] * [x] = 0
[ -2 -4 ] [y]

-x-5y = 0
-2x-4y = 0

I can't see how x in the first equation can = x in the second equation. The same with both y's. How can I find the eigenvector here? I'm going back through my steps now to see if I made an error somewhere. I'm having the same trouble finding eigenvectors with the second eigenvalue of 6 as well.
 
Last edited:
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says said:

Homework Statement


Given the linear transformation l : R 2 → R 2 defined below, find characteristic equation, real eigenvalues and corresponding eigenvectors. a) l(x, y) = (x + 5y, 2x + 4y)

Homework Equations


characteristic equation = det (A-λI) = 0

The Attempt at a Solution


l(x, y) = (x + 5y, 2x + 4y)

A =
[ 1 + 5 ]
[ 2 + 4 ]

det (A-λI) = 0 =
[ 1-λ + 5 ]
[ 2 + 4-λ ]

determinant works out to be

D =
2 - 5λ - 6) = 0

so eigenvalues are -1 and 6.

D =
[-1 0]
[ 0 6]

to get eigenvectors we multiply the original matrix A by D
No.
To get the eigenvector for ##\lambda = -1## solve this matrix equation:
##\begin{bmatrix} 1- (-1) & 5 \\
2 & 4 - \lambda\end{bmatrix} \begin{bmatrix} x \\ y \end{bmatrix} = \begin{bmatrix} 0 \\ 0\end{bmatrix}##
says said:
[1 5 ] [ -1 0]
[ 2 4] [ 0 -1]

= [ -1 -5 ]
[ -2 -4 ]

This is where I'm stuck

= [ -1 -5 ] * [x] = 0
[ -2 -4 ] [y]

-x-5y = 0
-2x-4y = 0

I can't see how x in the first equation can = x in the second equation. The same with both y's. How can I find the eigenvector here? I'm going back through my steps now to see if I made an error somewhere. I'm having the same trouble finding eigenvectors with the second eigenvalue of 6 as well.
 
Last edited:
Sorry, how did you get that matrix? Should the 6 be a 5?
 
I got an eigenvector for λ=−1 of (-5,2)
 
eigenvector for λ=6 of (1,1)
 
says said:
Sorry, how did you get that matrix? Should the 6 be a 5?
Yes, I must have hit the wrong key. I have fixed it in my earlier post.

says said:
I got an eigenvector for λ=−1 of (-5,2)
Yes.

says said:
eigenvector for λ=6 of (1,1)
Yes.

You can check these yourself. If ##\lambda## is an eigenvalue associated with an eigenvector of x, it must be true that Ax = λx.
 

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