eigenvector help needed I have the eigenvalues(-1,1,2,4) but I need help with the eigenvector for 2 I Will post the matrix
post the matrix!
\[\left[\begin{matrix}1 & 0 & 0&0 \\ 1&2 &0&0 \\ 1&2&-1&1 \\ 1&1&0&4\end{matrix}\right]\]
sorry that took so long
ok
Whn I put it into wolfram alpha, it says I should get (0,-2,-1,1) but I can't figure out how to get that. I got all the other ones, but this one isn't coming out.
so that thing you posted is the matrix you are working with right?
yep
and you got the values of: 4,2,-1,1 correct?
correct
I just can't figure out how to get the correct eigenvector for 2. I got the other ones but this one isn't coming out correctly
the answer (i made it from my hand) is (0, 2, 1, -1) and the wólfram alpha is right. Simply find A-2I where I is the identity matrix. Row-reduce it (applying elementary operations in the rows). You get (1,0,0,0//0,1,0,2//0,0,1,1//0,0,0,0)=B. Solving BX=O produces the eigenvector.
wait how did you get B? I'm not quite seeing where you got that from
Row-reducing A-2I
it may just be a different name but what do you mean by row reducing?
apply one of the 3 elementary operations in rows, to obtain the ECHELON form of the matrix
(A-L)x = 0, should produce the eigenvectors for x, right?
1. Interchange rows 2. Multiply a row by a no zero number 3. Add a row, multiplied by a number, to another row
amistre64 is right. It's A-I, not A-L (what is L???)
L is lamda :) a given eigenvalue
right. a-2I gets (-1,0,0,0//1,0,0,0//1,0,-3,1//1,1,0,0), right?
Noooo A-L means a matrix (A) MINUS a number (L), you can't do this
lambda times the identity matrix, yes?
im assuming that since we are talking about eigen stuff, that the I is implied ...
better: (A-LI)x=o, where I = identity matrix
a- 2 (lambda) times the identity matrix
please do not "imply".
excuse my english
anyway... what I put earlier is what you would get, right?
goalie is right
so then why can I not seem to get the correct vector from that matrix?
i have to go... nice to meet you... Greetings from La Paz, Bolivia!!
... I still haven't figured out why I can't seem to get the right answer from the matrix I obtain by taking A - 2(lambda)*I
send me your e-mail, or please write to: diegoesdiego@hotmail.com. I will return the complete procedure. bye.
\[\left[\begin{matrix}1-2 & 0 & 0&0 \\ 1&2-2 &0&0 \\ 1&2&-1-2&1 \\ 1&1&0&4-2\end{matrix}\right]\] \[\left[\begin{matrix}-1 & 0 & 0&0 \\ 1&0 &0&0 \\ 1&2&-3&1 \\ 1&1&0&2\end{matrix}\right]\] and row reduce
what is row reduce though?
getting it into echelon form ... how did you do the others?
set up systems of equations by multiplying with variables for the other part
it row reduces to {1, 0, 0, 0} {0, 1, 0, 2} {0, 0, 1, 1} {0, 0, 0, 0} and negate the last column since there is only 1 free variable
well, the last one will not be a zero, itll be a 1
x = w{ 0} y = w{-2} z = w{-1} w = w{ 1}
I'll trust you on that one. I'll have to look into that some more. honestly, I've never seen that. That does make it come out right. Thanks
{-1, 0, 0, 0} *-1 { 1, 0, 0, 0} { 1, 2, -3, 1} { 1, 1, 0, 2} { 1, 0, 0, 0} { 1, 0, 0, 0} add the rows { 1, 2, -3, 1} using the top row { 1, 1, 0, 2} { 1, 0, 0, 0} { 0, 0, 0, 0} rearrange in a more echelon form { 0, 2, -3, 1} { 0, 1, 0, 2} { 1, 0, 0, 0} { 0, 1, 0, 2} *-2 and add to the 3rd row { 0, 2, -3, 1} { 0, 0, 0, 0} { 1, 0, 0, 0} { 0, 1, 0, 2} { 0, 0, -3, -3} /-3 { 0, 0, 0, 0} { 1, 0, 0, 0} { 0, 1, 0, 2} finished results { 0, 0, 1, 1} { 0, 0, 0, 0} ^^ free variable
define the rest of them in terms of the free variable. which i did above
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