If we have a 2D plane and the hermitian matrix $L$ where: $$L|\lambda_1\rangle=\lambda|\lambda_1\rangle$$ $$L|\lambda_2\rangle=\lambda|\lambda_2\rangle$$ Given that $|\lambda_1\rangle$ and $|\lambda_2\rangle$ are linearly independent, we can make any vector $$|A\rangle=\alpha|\lambda_1\rangle +\beta|\lambda_2\rangle$$ that will be an eigenvector for $L$ with the same eigenvalue. Can't I, with the last equation, create every vector in that plane and therefore every vector is an eigenvector for the matrix with the same eigenvalue? I know this question might sound ridiculous and that there is a mistake in my reasoning but I can't find where is the mistake.
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There is no mistake. If you have a $2 \times 2$ matrix with one eigenvalue $\lambda$ and 2 linearly independent eigenvectors, then the whole plane is the eigenspace and the matrix is equal to $\lambda I$.

Vladimir Lysikov
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Is that not correct? Should that have been $L\left|\lambda_1\right> = \lambda_1 \left|\lambda_1\right>$, $L\left|\lambda_2\right> = \lambda_2 \left|\lambda_2\right>$?
– Vladimir Lysikov Dec 29 '23 at 20:00