Paper 1, Section II, H

Markov Chains | Part IB, 2016

Let (Xn)n0\left(X_{n}\right)_{n \geqslant 0} be a simple symmetric random walk on the integers, starting at X0=0X_{0}=0.

(a) What does it mean to say that a Markov chain is irreducible? What does it mean to say that an irreducible Markov chain is recurrent? Show that (Xn)n0\left(X_{n}\right)_{n} \geqslant 0 is irreducible and recurrent.

[Hint: You may find it helpful to use the limit

limkk22k(2kk)=π\lim _{k \rightarrow \infty} \sqrt{k} 2^{-2 k}\left(\begin{array}{c} 2 k \\ k \end{array}\right)=\sqrt{\pi}

You may also use without proof standard necessary and sufficient conditions for recurrence.]

(b) What does it mean to say that an irreducible Markov chain is positive recurrent? Determine, with proof, whether (Xn)n0\left(X_{n}\right)_{n \geqslant 0} is positive recurrent.

(c) Let

T=inf{n1:Xn=0}T=\inf \left\{n \geqslant 1: X_{n}=0\right\}

be the first time the chain returns to the origin. Compute E[sT]\mathbb{E}\left[s^{T}\right] for a fixed number 0<s<10<s<1.

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