Can a matrix have different eigenvectors for the same eigenvalue?
yes
if you rref it and get more than 1 free variable then it gets 2 Evs
Does that have a special meaning?
im assuming a 3x3 for some reason; but you have as many Evs as free variables
I know for when there is eigenvalue of zero then the matrix is not invertible.
and if you cant get linearly independant Evs the matrix aint diagonlizable
But you are suppose to have one free variable because the characteristic equation must be non trivial solution
you dont always get one free variable
sometimes more, sometimes less
my book gives an example:\[\begin{vmatrix}2&4&3\\ -4&-6&-3\\ 3&3&1\end{vmatrix}\]
the charachteristic eq gives us: \(\lambda =1,-2\)
IF an nxn matrix has n distinct lambdas; then it is diagonalizable
But this one doesn't
right, so if you get less then n values, there is a possibility of getting bad vectors to match
How would you get a bad vector? You are given A and you found lambda and now you solve for the eigenvector.
yep
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
We need 3 independent vector to disgonalize the matrix right?
for any givn 3x3 matrix; yes
WOW I have the same book!!!
david lay i assume :)
YES YES!!!
you aint in saint leo are you?
No!! liberal arts school
Thanks! for the help!
youre welcome :) good luck
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