The eigenvalue problem involves finding eigenvalues and eigenvectors for a given linear transformation represented by a matrix. It is crucial for understanding how linear transformations can stretch, compress, or rotate space, and it has significant applications in various fields such as stability analysis, quantum mechanics, and system dynamics.
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