For each matrix, determine if the matrix is diagonalizable, nilpotent or neither. If the matrix is diagonalizable, find a matrix P that diagonalizes the matrix. If the matrix is nilpotent, find a string basis associated with the matrix. If he matrix is neither, find the Jordan canonical form of the matrix. A = [5 4 2] [4 5 2] [2 2 2]
I do not know the meaning of those terms.
I can't find the eigenvalues!
@Calcmathlete
@apoorvk
what is your characteristic polynomial?
What do you mean?
Do you have any idea about what the Jordan canonical form is? I am familiar with other terms but not this one...
No but we can find other terms
the eigenvalues are easy to find...I'm not sure what your issue is.
I don't know I got this equation: x^3 - 17x^2 + 25x - 26 = 0 I don't how to solve from here
that is not what I get
what do you get?
\[-\lambda^3+12\lambda^2-21\lambda+10\]
the above equation is the characteristic polynomial
equal to zero that is
I don't know how did you get this equation and how to solve it?
I computed \[\det\left(A-\lambda I_3\right)\]
I did the samething
then you must have made a mistake in your calculation
ok how to solve this equation?
easy...it factors ...you get 1,1,10 as the roots
it's cubic equation!
so?
how to solve it?!
factor it...use the rational root test
can you show me please?
test \(\pm10,\pm5,\pm2,\pm1\) into the above equation you will see that 10 and 1 are the only ones that work...and in fact 1 is a repeated root.
ok how did you get these numbers?
but you said it's 1, 1 and 10
yes..that is correct
that is what I said both time I gave you the roots
ok sorry
So it's gonna be 1 and 10?
yes...where 1 is a repeated root
ok So it's not diagonalizable right?
it is ;)
how come ? it's not equal to n
this is one of those weird cases where you have a repeated root but it is still diagonalize
so it's considered 3 not 2?
have you tried to find the eigenvectors?
no
Why do I want to find the eigenvector?
have you ever diagonalized a matrix before?
ok sorry got it! to find P right?
yes
ok
ok I got 4b1 + 4b2 + 2b3 = 0
for lambda = 1
I get \[p=\left[\begin{matrix}-1 & 2 & -1 \\ 1 & 2 & 0\\ 0 & 1 & 2\end{matrix}\right]\]
Can you explain how to get this?
ok...can you solve your equation in terms of the free variables
do you mean do it in rref?
I assume you looked at A-I and put it in rref
I don't how to get P
that is what we are working on...there are several steps to go through
Put \(A-I_3\) into rref I get \[\left[\begin{matrix}1 & 1 & 1/2 \\ 0 & 0 & 0\\ 0 & 0 & 0\end{matrix}\right]\]
A-1 = [ 1 , 1 , 0.5 ; 0 , 0 , 0 ; 0 , 0 , 0]
yes
now can you solve this system in terms of the free variables
to get what?
the eigenspace (the eigenvectors)
i don't know?
have you ever found a Null space before?
yes, I got b1 = -b2 and b3 = -2 b1
if we use x,y,z then [1 , 1 , 0.5] turns into x+y+.5z=0 let z=t and y=r they are free variables then we get the solution x=-r-.5t,y=y, z=t so we have \[\left(\begin{matrix}-r-.5t \\ r\\t\end{matrix}\right)=\left(\begin{matrix}-.5t \\ 0\\t\end{matrix}\right)+\left(\begin{matrix}-r \\ r\\0\end{matrix}\right)\] \[=\left(\begin{matrix}-.5 \\ 0\\1\end{matrix}\right)t+\left(\begin{matrix}-1 \\ 1\\0\end{matrix}\right)r\]
typo *then we get the solution x=-r-.5t,y=r, z=t
ok got it. This is the eignvector? right?
\[\left(\begin{matrix}-.5 \\ 0\\1\end{matrix}\right)\text{ and }\left(\begin{matrix}-1 \\ 1\\0\end{matrix}\right)\] are though I used \[\left(\begin{matrix}-1 \\ 0\\2\end{matrix}\right)\text{ and }\left(\begin{matrix}-1 \\ 1\\0\end{matrix}\right)\]
notice these two vectors are in the matrix P that I wrote above
from where you got 2 2 1 ?
that is the eigenvector corresponding to the eigenvalue 10
are we working on 1 or 10 ?
we just did 1...since it was a repeated root we got 2 vectors
I don't get this part, so this is the eignvector for lambda = 1 right?
there are two vectors for lambda =1. the two vectors I wrote above
ok where is the third one comes from?
from lambda =10
so for lambda = 1 we have 2 vectors and for lambda = 10 we have 3 vectors?
no...we get one vector from lambda =10. which gives us 3 total
ohh ok got it Can you tell how to get the nilpoten?
multiply the matrix to get the zero vector?
it is not nilpotent
So I don't have to find it?
becasue the det(A) is not = 0 right?
if A was nilpotent then \(A^n=0\) for some \(n\) what would imply that the determinant of A was zero. But the determinant of A is not zero. Thus A is not nilpotient
correct
ok so for this matrix the answer is done?
because I have two more matrices and I will try to do it by myself
you have what you need
ok Thank you so much for your help and your time I really appreciate that
No problem ... I just hope you undrstand some of it now
yea I do
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