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Singular Value. Eigen Decomposition Theory In this instance, we break down the matrix into eigenvalues and eigenvectors. So what is an eigenvector? The eigenvector of square matrix A is a non-zero vector such that multiplying by A alters only the scale of v. Geometrically this means a point that