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SparseArray objects and structured arrays can be used in Eigenvectors.Eigenvectors ] gives k eigenvectors, or as many as are available.Eigenvectors is equivalent to Take, spec ].When matrices m and a have a dimension ‐ shared null space, then of their generalized eigenvectors will be returned as zero vectors.The generalized eigenvectors of m with respect to a are those for which or for which.The eigenvectors of a matrix m are nonzero eigenvectors for which for some scalar.Eigenvectors with numeric eigenvalues are sorted in order of decreasing absolute value of their eigenvalues.The list contains each of the independent eigenvectors of the matrix, supplemented if necessary with an appropriate number of vectors of zeros. For an n  n matrix, Eigenvectors always returns a list of length n.

Eigenvectors corresponding to degenerate eigenvalues are chosen to be linearly independent.For exact or symbolic matrices m, the eigenvectors are not normalized.For approximate numerical matrices m, the eigenvectors are normalized.Eigenvectors finds numerical eigenvectors if m contains approximate real or complex numbers.