Finding an invertible matrix P such that A=PJP^-1

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The discussion focuses on finding an invertible matrix P such that \( A = PJP^{-1} \) for the matrix \( A = \begin{bmatrix} 5 & 4 & 2 & 1 \\ 0 & 1 & -1 & -1 \\ -1 & -1 & 3 & 0 \\ 1 & 1 & -1 & 2 \end{bmatrix} \). The Jordan form \( J \) is established as \( J = \begin{bmatrix} 4 & 1 & 0 & 0 \\ 0 & 4 & 0 & 0 \\ 0 & 0 & 2 & 0 \\ 0 & 0 & 0 & 1 \end{bmatrix} \) based on the characteristic polynomial \( q(x) = (x-4)^{2}(x-2)(x-1) \). The challenge arises in selecting appropriate basis vectors from the null spaces of eigenvalues, particularly from \( \ker{(A-4I)^{2}} \), where the choice of vectors affects the validity of the matrix P.

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Homework Statement


<br /> A=\left[\begin{array}{cccc}<br /> 5 &amp; 4 &amp; 2 &amp; 1\\<br /> 0 &amp; 1 &amp; -1 &amp; -1\\<br /> -1 &amp; -1 &amp; 3 &amp; 0\\<br /> 1 &amp; 1 &amp; -1 &amp; 2<br /> \end{array}\right]<br />

  1. Find the Jordan form of A
  2. Find a matrix P such that A = PJP-1

Homework Equations





The Attempt at a Solution



I've already found, and verified the Jordan form it is,

<br /> J=\left[\begin{array}{cccc}<br /> 4 &amp; 1 &amp; 0 &amp; 0\\<br /> 0 &amp; 4 &amp; 0 &amp; 0\\<br /> 0 &amp; 0 &amp; 2 &amp; 0\\<br /> 0 &amp; 0 &amp; 0 &amp; 1<br /> \end{array}\right]<br />

from the characteristic polynomial q(x) = (x-4)^{2}(x-2)(x-1).

To find P, I found a basis vector for each of null spaces of each eigenvalue.
\ker{(A-4I)}
Basis: (1,0,-1,1)

\ker{(A-4I)^{2}}
Basis: (0,0,-1,1), (1,0,0,0)

\ker{(A-2I)}
Basis: (1,-1,0,1)

\ker{A-I)}
Basis: (-1,1,0,0)

(these have all been verified with Mathematica)

Now I'm supposed to construct the columns of P by picking a set of 4 linearly independent vectors, which they all are. Here is my struggle. In choosing between the two basis vectors for \ker{(A-4I)^{2}}, choosing (1,0,0,0) works fine i.e.

<br /> P=\left[\begin{array}{cccc}<br /> 1 &amp; 1 &amp; 1 &amp; -1\\<br /> 0 &amp; 0 &amp; -1 &amp; 1\\<br /> -1 &amp; 0 &amp; 0 &amp; 0\\<br /> 1 &amp; 0 &amp; 1 &amp; 0<br /> \end{array}\right]<br />
but if I choose the other vector,

<br /> P=\left[\begin{array}{cccc}<br /> 1 &amp; 0 &amp; 1 &amp; -1\\<br /> 0 &amp; 0 &amp; -1 &amp; 1\\<br /> -1 &amp; -1 &amp; 0 &amp; 0\\<br /> 1 &amp; 1 &amp; 1 &amp; 0<br /> \end{array}\right]<br />
and P doesn't satisfy A=PJP^{-1}. Oddly, if I take (0,0,1,-1) it does work. Does anyone see if my logic is going awry somewhere? (0,0,1,-1) is just the negative of (0,0,-1,1) so shouldn't they in fact both work, satisfying A=PJP-1?
Sorry for the long post.
 
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ysebastien said:

Homework Statement


<br /> A=\left[\begin{array}{cccc}<br /> 5 &amp; 4 &amp; 2 &amp; 1\\<br /> 0 &amp; 1 &amp; -1 &amp; -1\\<br /> -1 &amp; -1 &amp; 3 &amp; 0\\<br /> 1 &amp; 1 &amp; -1 &amp; 2<br /> \end{array}\right]<br />

  1. Find the Jordan form of A
  2. Find a matrix P such that A = PJP-1

Homework Equations





The Attempt at a Solution



I've already found, and verified the Jordan form it is,

<br /> J=\left[\begin{array}{cccc}<br /> 4 &amp; 1 &amp; 0 &amp; 0\\<br /> 0 &amp; 4 &amp; 0 &amp; 0\\<br /> 0 &amp; 0 &amp; 2 &amp; 0\\<br /> 0 &amp; 0 &amp; 0 &amp; 1<br /> \end{array}\right]<br />

from the characteristic polynomial q(x) = (x-4)^{2}(x-2)(x-1).

To find P, I found a basis vector for each of null spaces of each eigenvalue.
\ker{(A-4I)}
Basis: (1,0,-1,1)

\ker{(A-4I)^{2}}
Basis: (0,0,-1,1), (1,0,0,0)

\ker{(A-2I)}
Basis: (1,-1,0,1)

\ker{A-I)}
Basis: (-1,1,0,0)

(these have all been verified with Mathematica)

Now I'm supposed to construct the columns of P by picking a set of 4 linearly independent vectors, which they all are. Here is my struggle. In choosing between the two basis vectors for \ker{(A-4I)^{2}}, choosing (1,0,0,0) works fine i.e.

<br /> P=\left[\begin{array}{cccc}<br /> 1 &amp; 1 &amp; 1 &amp; -1\\<br /> 0 &amp; 0 &amp; -1 &amp; 1\\<br /> -1 &amp; 0 &amp; 0 &amp; 0\\<br /> 1 &amp; 0 &amp; 1 &amp; 0<br /> \end{array}\right]<br />
but if I choose the other vector,

<br /> P=\left[\begin{array}{cccc}<br /> 1 &amp; 0 &amp; 1 &amp; -1\\<br /> 0 &amp; 0 &amp; -1 &amp; 1\\<br /> -1 &amp; -1 &amp; 0 &amp; 0\\<br /> 1 &amp; 1 &amp; 1 &amp; 0<br /> \end{array}\right]<br />
and P doesn't satisfy A=PJP^{-1}. Oddly, if I take (0,0,1,-1) it does work. Does anyone see if my logic is going awry somewhere? (0,0,1,-1) is just the negative of (0,0,-1,1) so shouldn't they in fact both work, satisfying A=PJP-1?
Sorry for the long post.

If ##(A-4I)^2 v = 0## but ##(A - 4I) v \neq 0##, then let ##u = (A - 4I)v.## These give ##Av = u + 4v## and ##Au = 4u##. So, if you include u and v in a basis, they will give you the upper left Jordan block. The matrix P constructed from u, v and the other eigenvectors will do what you want.
 
Great, thanks.
 

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