Confused on this defective matrix problem

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The discussion focuses on determining the conditions under which a given 3x3 matrix becomes defective by analyzing its characteristic polynomial. The matrix in question is represented as A = \begin{bmatrix} 3\alpha & 1 & 0\\ 0 & \alpha & 0\\ 0 & 0 & \alpha \end{bmatrix}, leading to the characteristic polynomial (\alpha-\lambda)^2(3\alpha-\lambda)=0. It is established that for \lambda = \alpha, the matrix cannot be defective due to insufficient distinct eigenvectors, while for \lambda = 3\alpha, the matrix is defective for any value of alpha, confirming that it has fewer than three distinct, linearly independent eigenvectors.

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Dustinsfl
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Make matrix defective if possible and identify the values of alpha.

\begin{bmatrix}<br /> 3\alpha &amp; 1 &amp; 0\\ <br /> 0 &amp; \alpha &amp; 0\\ <br /> 0 &amp; 0 &amp; \alpha<br /> \end{bmatrix}

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

\lambda_1=\lambda_2=\alpha and \lambda_3=3\alpha
For lambda being alpha
\begin{bmatrix}<br /> 2\alpha &amp; 1 &amp; 0\\ <br /> 0 &amp; 0 &amp; 0\\ <br /> 0 &amp; 0 &amp; 0<br /> \end{bmatrix}\Rightarrow \begin{bmatrix}<br /> 1 &amp; \frac{-1}{2\alpha} &amp; 0\\ <br /> 0 &amp; 0 &amp; 0\\ <br /> 0 &amp; 0 &amp; 0<br /> \end{bmatrix}\Rightarrow x_2\begin{bmatrix}<br /> \frac{-1}{2\alpha}\\ <br /> 1\\ <br /> 0 <br /> \end{bmatrix}+x_3\begin{bmatrix}<br /> 0\\ <br /> 0\\ <br /> 1<br /> \end{bmatrix}

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

For lambda being 3alpha
\begin{bmatrix}<br /> 0 &amp; 1 &amp; 0\\ <br /> 0 &amp; -2\alpha &amp; 0\\ <br /> 0 &amp; 0 &amp; -2\alpha<br /> \end{bmatrix}\Rightarrow \begin{bmatrix}<br /> 0 &amp; 1 &amp; 0\\ <br /> 0 &amp; 0 &amp; 1\\ <br /> 0 &amp; 0 &amp; 0<br /> \end{bmatrix}\Rightarrow x_1\begin{bmatrix}<br /> 1\\ <br /> 0\\ <br /> 0<br /> \end{bmatrix}

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

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