Matrix factorization is a mathematical process of decomposing a matrix into the product of two or more matrices, which can simplify various computations and reveal underlying patterns. This technique is particularly useful in understanding linear transformations and helps in the analysis of eigenvalues and eigenvectors, crucial elements in the spectral theorem for finite-dimensional spaces.
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