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Mathematics 9 Online
OpenStudy (anonymous):

Can a matrix have different eigenvectors for the same eigenvalue?

OpenStudy (amistre64):

yes

OpenStudy (amistre64):

if you rref it and get more than 1 free variable then it gets 2 Evs

OpenStudy (anonymous):

Does that have a special meaning?

OpenStudy (amistre64):

im assuming a 3x3 for some reason; but you have as many Evs as free variables

OpenStudy (anonymous):

I know for when there is eigenvalue of zero then the matrix is not invertible.

OpenStudy (amistre64):

and if you cant get linearly independant Evs the matrix aint diagonlizable

OpenStudy (anonymous):

But you are suppose to have one free variable because the characteristic equation must be non trivial solution

OpenStudy (amistre64):

you dont always get one free variable

OpenStudy (amistre64):

sometimes more, sometimes less

OpenStudy (amistre64):

my book gives an example:\[\begin{vmatrix}2&4&3\\ -4&-6&-3\\ 3&3&1\end{vmatrix}\]

OpenStudy (amistre64):

the charachteristic eq gives us: \(\lambda =1,-2\)

OpenStudy (amistre64):

IF an nxn matrix has n distinct lambdas; then it is diagonalizable

OpenStudy (anonymous):

But this one doesn't

OpenStudy (amistre64):

right, so if you get less then n values, there is a possibility of getting bad vectors to match

OpenStudy (anonymous):

How would you get a bad vector? You are given A and you found lambda and now you solve for the eigenvector.

OpenStudy (amistre64):

yep

OpenStudy (amistre64):

this one for example only results in 2 vectors; but the matrix is 3x3, so we require 3 independant vectors which we fall short of in the end

OpenStudy (anonymous):

We need 3 independent vector to disgonalize the matrix right?

OpenStudy (amistre64):

for any givn 3x3 matrix; yes

OpenStudy (anonymous):

WOW I have the same book!!!

OpenStudy (amistre64):

david lay i assume :)

OpenStudy (anonymous):

YES YES!!!

OpenStudy (amistre64):

you aint in saint leo are you?

OpenStudy (anonymous):

No!! liberal arts school

OpenStudy (anonymous):

Thanks! for the help!

OpenStudy (amistre64):

youre welcome :) good luck

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