0
$\begingroup$

This question came up in a course on measure theoretic probability theory. We have had lots of information on the existence of distribution, but no examples of how to find/construct them. Here's the problem:

Let $X_1,X_2,\dots$ be an $iid$ sequence of Bernoulli random variables, defined on $(\Omega,\mathcal{F},\mathbb{P})$ with $\mathbb{P}(X_1=1)=\frac{1}{2}$. Let

$$X = \sum_{k=1}^\infty2^{-k}X_k.$$

Find the distribution of $X$.

Clearly $F(x) = \mathbb{P}(X \leq x) = \int_{-\infty}^xX\,d\mathbb{P}$, but how to go from hear I have no idea. I also tried the path $P(\sum_{k=1}^\infty2^{-k}X_k \leq x) = \mathbb{P}(X = 1)\mathbb{P}(\sum_{k=2}^\infty2^{-k}X_k\leq x - \frac{1}{2}) + \mathbb{P}(X=0)\mathbb{P}(\sum_{k=2}^\infty2^{-k}X_k \leq x)$ but this seems to be a dead end.

Any tips tips how to tackle this?

  • 0
    Bernoullis are discrete random variables, so instead of $P(X \leq x)$, why don't you try $P(X = k)$? I also wonder if you are aware of what the answer is in advance and you just have to prove it; or you just don't and want to construct the solution.2012-10-14
  • 0
    In this case we haven't been given what the distribution is, and I also figured it's good practice to learn how to find distribution which you don't know in advance. On your first point, although the $X_i$'s are discrete, their "normalized" sum can approach any point in $[0,1]$ by the looks of it.2012-10-14
  • 0
    I understand your point, as the limit of that sum can be irrational.2012-10-14

1 Answers 1