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walks or Markov chains, the X(k)’s are not independent; they are indeed highly auto-correlated. Prove that if a < 1, then X(k) converges to 0 as k increases. Under the same condition, prove that the limiting distribution Z always exists, (Note: if a > 1, X(k) may not converge to zero, causing a