Machine Learning, Artificial Intelligence, Data Science.
using the eigenvectors of A with c₁ equals to 1 below. Since u₁, u₂, …, and un are eigenvectors, Aᵏ can be replaced by λᵏ. Except for eigenvalue λ=1, the power of the eigenvalue (λᵏ) for a Markov matrix will diminish. So the system reaches a steady-state that approaches the eigenvector u₁