Confused on this defective matrix problem

In summary, the given matrix can be made defective by setting lambda to either alpha or 3alpha. For lambda = alpha, the matrix cannot be defective, while for lambda = 3alpha, it will be defective for any value of alpha. It has fewer than 3 distinct, linearly independent eigenvectors.
  • #1
Dustinsfl
2,281
5
Make matrix defective if possible and identify the values of alpha.

[tex]\begin{bmatrix}
3\alpha & 1 & 0\\
0 & \alpha & 0\\
0 & 0 & \alpha
\end{bmatrix}[/tex]

Skipping the boring stuff we obtain [itex](\alpha-\lambda)^2(3\alpha-\lambda)=0[/itex] as the characteristic polynomial.

[tex]\lambda_1=\lambda_2=\alpha[/tex] and [tex]\lambda_3=3\alpha[/tex]
For lambda being alpha
[tex]\begin{bmatrix}
2\alpha & 1 & 0\\
0 & 0 & 0\\
0 & 0 & 0
\end{bmatrix}\Rightarrow \begin{bmatrix}
1 & \frac{-1}{2\alpha} & 0\\
0 & 0 & 0\\
0 & 0 & 0
\end{bmatrix}\Rightarrow x_2\begin{bmatrix}
\frac{-1}{2\alpha}\\
1\\
0
\end{bmatrix}+x_3\begin{bmatrix}
0\\
0\\
1
\end{bmatrix}[/tex]

For this lambda value, the matrix can't be defective? Not sure though.

For lambda being 3alpha
[tex]\begin{bmatrix}
0 & 1 & 0\\
0 & -2\alpha & 0\\
0 & 0 & -2\alpha
\end{bmatrix}\Rightarrow \begin{bmatrix}
0 & 1 & 0\\
0 & 0 & 1\\
0 & 0 & 0
\end{bmatrix}\Rightarrow x_1\begin{bmatrix}
1\\
0\\
0
\end{bmatrix}[/tex]

And for this one, alpha can be any value and the matrix will be defective.
 
Last edited:
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  • #2
A 3x3 matrix is defective it has fewer that 3 distinct, linearly independent eigenvectors. How many distinct, linearly independent eigenvectors does this matrix have?
 

Related to Confused on this defective matrix problem

1. What is a defective matrix?

A defective matrix is a square matrix that does not have a full set of linearly independent eigenvectors. This means that it cannot be diagonalized and does not have a complete set of eigenvalues.

2. How is a defective matrix different from a non-defective matrix?

A non-defective matrix has a full set of linearly independent eigenvectors and can be diagonalized, while a defective matrix does not have these properties.

3. What are the implications of a defective matrix in linear algebra?

In linear algebra, a defective matrix can make it difficult to solve systems of equations or find eigenvalues and eigenvectors. It also means that the matrix may not have a complete set of solutions.

4. What causes a matrix to be defective?

A matrix can become defective if it has repeated eigenvalues or a lack of linearly independent eigenvectors. This can occur if the matrix is not diagonalizable or if it has a block of repeated eigenvalues in its Jordan form.

5. How can I handle a defective matrix in my calculations?

There are various techniques that can be used to handle defective matrices, such as the Jordan canonical form, Schur decomposition, or using generalized eigenvectors. It is important to identify the type of defectiveness in the matrix and choose the appropriate method for solving it.

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