Find a Matrix P that diagonalizes A

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In summary, the matrix A can be diagonalized by finding three linearly independent eigenvectors, even if there are repeated eigenvalues. The matrix P that diagonalizes A is given by P = \begin{pmatrix}-2 & 0 & 1\\0 & 1 & 0\\1 & 0 & 0\end{pmatrix}.
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mpittma1
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Homework Statement


Find a Matrix P that diagonalizes A


Homework Equations



A = [tex]
\begin{pmatrix}
2 & 0 & -2\\
0 & 3 & 0\\
0 & 0 & 3
\end{pmatrix}
[/tex]

The Attempt at a Solution




Well right off the bat we know that this is an upper triangular matrix so the eigenvalues are the entries along the main diagonal of A.

So λ = 2, 3, 3

But if an n x n matrix A has n distinct eigenvalues, then A is diagonalizable.

In this case we only have 2 distinct eigenvalue so it shouldn't be diagonalizable...

But the answer is:
P = [tex]
\begin{pmatrix}
-2 & 0 & 1\\
0 & 1 & 0\\
1 & 0 & 0
\end{pmatrix}
[/tex]


What is the proper way to start the problem to find this matrix P?

Thank You for any help in advance.
 
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  • #2
mpittma1 said:

Homework Statement


Find a Matrix P that diagonalizes A


Homework Equations



A = [tex]
\begin{pmatrix}
2 & 0 & -2\\
0 & 3 & 0\\
0 & 0 & 3
\end{pmatrix}
[/tex]

The Attempt at a Solution




Well right off the bat we know that this is an upper triangular matrix so the eigenvalues are the entries along the main diagonal of A.

So λ = 2, 3, 3

But if an n x n matrix A has n distinct eigenvalues, then A is diagonalizable.

In this case we only have 2 distinct eigenvalue so it shouldn't be diagonalizable...

But the answer is:
P = [tex]
\begin{pmatrix}
-2 & 0 & 1\\
0 & 1 & 0\\
1 & 0 & 0
\end{pmatrix}
[/tex]


What is the proper way to start the problem to find this matrix P?

Thank You for any help in advance.
If you check, you'll see that the eigenspace of λ = 3 is of dimension 2, so there are two eigenvectors for this eigenvalue.

When a matrix has repeated eigenvalues, there is some terminology that distinguishes between algebraic multiplicity vs. geometric multiplicity. I think this matrix is a case of geometric multiplicity.

To find your matrix P, the important thing is to get three linearly independent eigenvectors, not whether there are three distinct eigenvalues.
 
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1. What does it mean to diagonalize a matrix?

Diagonalizing a matrix means to transform it into a diagonal matrix, where all the elements outside the main diagonal are zero. This is achieved by finding a matrix P that can be multiplied with the given matrix A, such that P-1AP is a diagonal matrix.

2. Why is it important to diagonalize a matrix?

Diagonalizing a matrix can simplify calculations and make it easier to find the eigenvalues and eigenvectors of the matrix. It also allows for easier manipulation and analysis of the matrix, making it a useful tool in various mathematical and scientific applications.

3. How do you find a matrix P that diagonalizes A?

To find a matrix P that diagonalizes A, we first need to find the eigenvalues and eigenvectors of A. Then, we can construct P by placing the eigenvectors as columns in the same order as their corresponding eigenvalues on the main diagonal of P. Finally, we multiply P-1AP to get the diagonalized matrix.

4. Can any matrix be diagonalized?

No, not all matrices can be diagonalized. For a matrix to be diagonalizable, it must have a full set of linearly independent eigenvectors. If the matrix does not have a full set of linearly independent eigenvectors, it is not diagonalizable.

5. How do you know if a matrix is diagonalizable?

A matrix is diagonalizable if it has a full set of linearly independent eigenvectors. This means that the number of distinct eigenvalues of the matrix must be equal to the dimension of the matrix. If this condition is met, then the matrix can be diagonalized.

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