The Bauer–Fike theorem is a result in numerical analysis and linear algebra that provides conditions under which the eigenvalues of a perturbed matrix are close to the eigenvalues of the original matrix. Specifically, it addresses how perturbations, particularly in the form of a matrix \( A \) being modified by another matrix \( E \) (where \( E \) typically represents a small perturbation), affect the spectral properties of \( A \).

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