When there is a double root for the eigenvalue, how many eigenvectors?

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When dealing with a double root eigenvalue, it is established that there will always be at least one eigenvector associated with that eigenvalue. However, the presence of a second linearly independent eigenvector is not guaranteed. For instance, the matrix $\begin{bmatrix}1&0\\ 0&1 \end{bmatrix}$ has two linearly independent eigenvectors, while the matrix $\begin{bmatrix}1&1\\ 0&1 \end{bmatrix}$ has only one. This distinction is crucial for understanding the structure of eigenspaces in linear algebra.

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Petrus
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Hello MHB,
I got one question. If I want to find basis ker and it got double root in eigenvalue but in that eigenvalue i find one eigenvector(/basis) what kind of decission can I make? Is it that if a eigenvalue got double root Then it Will ALWAYS have Two eigenvector(/basis)?

Regards,
$$|\pi\rangle$$
 
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Re: 1 basis or Two basis for double root to ker?

Petrus said:
If I want to find basis ker and it got double root in eigenvalue but in that eigenvalue i find one eigenvector(/basis) what kind of decission can I make? Is it that if a eigenvalue got double root Then it Will ALWAYS have Two eigenvector(/basis)?
Not necessarily. When there is a double root for the eigenvalue there will always be at least one eigenvector. There may or may not be a second, linearly independent, eigenvector. For example, the matrices $\begin{bmatrix}1&0\\ 0&1 \end{bmatrix}$ and $\begin{bmatrix}1&1\\ 0&1 \end{bmatrix}$ both have a repeated eigenvalue $1$, but the first one has two linearly independent eigenvectors and the second one only has one.
 

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