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

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.
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...

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