Spectral convergence refers to the phenomenon where a sequence of operators or matrices converges in terms of their spectra, meaning that the eigenvalues of the matrices approach the eigenvalues of a limiting operator or matrix as the sequence progresses. This concept is crucial when evaluating matrix polynomials, as it ensures that the properties of the matrix are preserved during polynomial evaluations and that the approximations yield consistent results within a specified convergence framework.
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