non diagonalisable matrix

**Hello everyone!**

**Can anyone help me please ? I've got a serious problem in maths with the non-diagonalisable matrices!**

A is a matrix

[3 1 0]

[-4 -1 0]

[4 -8 -2]

det |A-λI| = (-2-λ)(λ-1)^2

Thus, we find 2 eigen values:

λ= -2 (order 1)

λ= 1 (order 2)

One eigen vector for λ = -2 is v1 = [0,0,1]

The first eigen vector for λ = 1 is v2= [3, -6, 20]

There is no second independent eigen vector for λ = 1 so the matrix is not diagonalisable!

How can we find A' and P the passage matrix anyway ?

Thanks!! I'm desperate :((((((((((

Re: non diagonalisable matrix

what are you asking here? some matrices aren't diagonalizable...that's just how it is.

Re: non diagonalisable matrix

yeah, but despite that our teacher wrote :

Considering e(i) independent vectors that generate the basis, and f(ei) the transformation

f(e(1))=3e(1) - 4e(2) + 4e(3)

f(e(2))=9e(1) - 12e(2) + 12e(3)

=> f(3e(1)) = 9e(1) + (2v(1) -6e(1) - 40e(3)) + 12e(3) = 3e(1) + 2v(1) - 28e(3)

=> f(e(1)) = e(1) + 2/3v1 - 28/3.e(3)

Thus,

A'

[-2 0 -28/3]

[0 1 2/3]

[0 0 1]

P (passage matrix)

[0 3 1]

[0 -6 0]

[1 20 0]

I don't understand what we did there :(

Re: non diagonalisable matrix

The matrix is not diagonalizable but **can** be put in "Jordan normal form". Since this has eigenvalue -2, of algebraic multiplicity 1, and eigenvalue 1, of algebraic multiplicity 2 but geometric multiplicity 1, the Jordan normal form is

.

To write , P must have an eigenvector corresponding to eigenvalue -2 as first column, an eigenvector corresponding to eigenvalue 1 as second column, and a **generalized** eigenvector, corresponding to eigenvalue 1, as third column.

Since eigenvalue 1 has algebraic multiplicity 2, there exist a two dimensional subspace such that for any v in that subspace. Since it has geometric multiplicity 1, there exist only a one dimensional subspace such . That means there exist vectors, u, such that but . Those are the "generalized eigenvectors" corresponding to eigenvalue 1. We can, however, write where . And since (A- I)v= 0, v must be an eigenvector.

You have already determined that v= <3, -6, 20> (I did not check if this is correct) is an eigenvector corresponding to eigenvalue 1 so any "generalized eigenvector", <x, y, z>, must satisfy

Solve that for <x, y, z> (there is not, of course, a **unique** solution- choose any one) and use it as the third column in your matrix P.

Re: non diagonalisable matrix

Hi velvet! :)

I don't understand either what your teacher did here.

What is e(2) supposed to be?

However, I can tell you how to find an alternate A' and P.

It is called the Jordan normal form and its Generalized eigenvectors (link included).

I'm pretty sure that what you're learning leads up to the Jordan normal form.

See the link I just mentioned for the method how to construct the passage matrix.

Thus,

A' (jordan normal form)

[-2 0 0]

[0 1 1]

[0 0 1]

P (passage matrix containing generalized eigenvectors)

[0 3 11/5]

[0 -6 -7/5]

[1 20 0]

Re: non diagonalisable matrix

Ok, I think that the method with the Jordan normal form is quite similar to what we have done.

Thank you all for your answers, I'm starting to get the thing now !