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A linear operator (including a matrix) acting on a non-zero *eigenvector* preserves its direction but, in general, scales its magnitude by a scalar quantity *λ* called the *eigenvalue* or characteristic value associated with that eigenvector. Even though it is normally used for linear operators, it may also extend to nonlinear operations, such as Schroeder functional composition, which evoke linear operations.

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The Eigenvalue problem

The operator $(\Omega - \omega I)$ can be seen as a matrix. But to be inversible, a matrix needs its determinant to be non-zero. Why does it need to be non-zero ? Let's take a matrix A, which we'll …
Reflets de Lune's user avatar
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Show that normable eigenstates are not degenerated in 1D

You're on the right track ! \begin{equation} 0 = \psi_1 \psi_2'' - \psi_2 \psi_1'' = (\psi_1 \psi_2' - \psi_2 \psi_1' ) ' \end{equation} meaning the () in the right term must be a constant : \begi …
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