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⢠We note that X(n) = X(nâ1)P therefore if lim X(n) = Ï nââ then Ï = lim X(n) = lim X(nâ1)P = ÏP. nââ nââ We have the following deï¬nition Deï¬nition 16. A row vector Ï = (Ï0, Ï1, . . . , Ïkâ1) is said to be a stationary distribution of a ï¬nite Markov chain if it satisï¬es: (i) kâ1 â Ï i ⥠0 and Ï i = 1. i=0 (ii) ÏP = Ï, i.e. kâ1 â i=0 116 Ï iPij = Ï j .