Toss a coin three times, so event space $\Omega=\{HHH,HHT,HTH,HTT,THH,THT,TTH,TTT\}$. We win $\$1$ if we flip a Head and lose $\$1$ for a Tail. Let $\mathbb{P}(H) = p$ and $\mathbb{P}(T) = q$. The change in our wealth after flip $i$ is the r.v.
$X_i = \cases{+1 \text{ if }H \\ -1 \text{ if } T}$
Our wealth after turn $i$ is:
$ S_i = S_0 + X_1 + \dots X_i $
There are three questions (these are not homework problems, rather revision) and I have some questions about their solutions.
- Find $\mathbb{P}(S_3|S_1)$
This is the probability of $S_3$ occuring given that $S_1$ occurs, and by definition:
$ \mathbb{P}(S_3|S_1) = \frac{\mathbb{P}(S_1 \cap S_3)}{\mathbb{P}(S_1)} $
I think the answer should be $\frac{1}{2}$ thinking of the $H/T$ outcome as paths on a binary tree. Can someone provide a more algebraic solution?
- Find $\mathbb{E}(S_3|S_1)$
We interpret this as our expected wealth after $3$ flips given $S_1$. This is just: $S_1 + p^2(2) + 2pq(0) - q^2(2) = S_1$ iff $p=q$. I think this is okay.
- Given that $F_0 = \{\phi,\Omega\}$ what are $F_1, F_2$ and $F_3$ where $F_i$ is the smallest event space that we can identify from complete knowledge of $F_j$ for $1\leq j\leq i$.
I am unfamiliar with filtrations, and have only a vague sense of what they actually are. So is $F_1$ is the event space we can identify from complete knowledge of the first coin flip? What does it mean to identify an event space from complete knowledge?