Asymptotic behavior of Markov Chain
•w(n) = A(A(…(A(v(1))))) = An(w(1)).
–w(n) will be leading eigenvector of A.
•This means asymptotic behavior independent of initial conditions
•Some special conditions required: 
–Reach every state from every state (ergodic).
–Markov chain may not converge (periodic)