Martingales – Problem (23/365)

Having looked at sequence of decompositions in the last post I can now get some motivation for the definition of a martingale: A sequence of random variables \theta_1, \dots, \theta_n is called a martingale with respect to the decompositions \mathcal{D}_1 \le \dots \le \mathcal{D}_n if

\displaystyle  \text{(1) } \theta_k \text{ is } \mathcal{D}_k\text{-measurable} \\ \text{(2) } E(\theta_{k+1} | \mathcal{D}_k) = \theta_k


Let \omega_1, \dots, \omega_n be independent Bernoulli random variables with P(\omega_i = 1) = p and P(\omega_i = -1) = q and S_k(\omega) = \sum_i \omega_i. If p \ne q show that the sequence \theta_k = \left( \frac{q}{p} \right)^{S_k} is a martingale.

\displaystyle  \theta_{k+1}(\omega) = \left( \frac{q}{p} \right)^{S_{k+1}(\omega)} = \left( \frac{q}{p} \right)^{S_k(\omega) + \omega_{k+1}} = \theta_k(\omega) \left( \frac{q}{p} \right)^{\omega_{k+1}} \\ \text{therefore } \left\{ \omega : \theta_{k+1}(\omega) = \left( \frac{q}{p} \right)^{S_{k+1}} \right\} \subseteq \left\{ \omega : \theta_k(\omega) = \left( \frac{q}{p} \right)^{S_k} \right\}

Hence, the sequence of (\theta_k) is a martingale. Show that the sequence \theta_k = S_k - k(p - q) is also a martingale.

\displaystyle  \theta_{k+1}(\omega) = S_{k+1} - (k+1)(p-q) \\ = S_k + \omega_{k+1} - k(p-q) - (p-q) \\ = \theta_k(\omega) + \omega_{k+1} - (p-q) \\ \text{The same argument as above therefore applies.}

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