What the markov property does not mean

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1. Suppose fXng is a stationary Markov chain. Prove that for all n and all xi ;i  D  0; 1; :::;n 2; P.XnC2  D  xnC2; XnC1  D  xnC1 jXn  D  xn ; Xn-1  xn-1;::: ; X0  x0/ P.XnC2  xnC2; XnC1 xnC1 jXn xn/.

2. ( What the Markov Property Does Not Mean). Give an example of a stationary Markov chain with a small number of states such that P.XnC1  xnC1 jXn    xn; Xn-1    xn-1;::: ; X0    x0/  D  P.XnC1  D  xnC1 jXn xn /is not true for arbitrary x0; x1;::: ; xnC1.

3. (Ehrenfest Urn). Consider the Ehrenfest urn model when there are only two balls to distribute.

(a) Write the transition probability matrix P.

(b) Calculate 2;P 3.

(c) Find general formulas for 2k ;P 2kC1.

Reference no: EM13966518

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