Machine Learning, Linear Algebra, Eigenvectors, Eigenvalue, Mathematics.
eigenvectors with one eigenvector per column is V and the vector formed by concatenating all the eigenvalues is λ such that: V = [v₁, v₂, ……, vₙ] and λ = [λ₁, λ₂, ……., λₙ]. Then the eigendecomposition of A is given by: A = V diag(λ) V⁻¹ ……………………………………………………(2) The eigendecomposition does not exist