Recent content by RvMiert

  1. R

    Optimizing the Penalty in an Urn Problem: A Scientific Approach

    Ow haha, you've said it already ^^ Read it too fast.
  2. R

    Optimizing the Penalty in an Urn Problem: A Scientific Approach

    Still, I´m sorry :P, I don't see how this can be right. If I completely wright it out, I get {\Bbb P}_\text{b}={\Bbb P}\left( {n = 1,{\text{ blue ball}}} \right) = \frac{b}{{r + b}} {\Bbb P}_\text{r}={\Bbb P}\left( {n = 1,{\text{ red ball}}} \right) = \frac{r}{{r + b}} {\Bbb...
  3. R

    Optimizing the Penalty in an Urn Problem: A Scientific Approach

    I don't get it. What exactly is P(Bk)? The probability that B_n = k? And how can it be a sum of scaled probabilities? Because, all ready in the second turn, you would get a product of probabilities. Say that p_b is the probability to draw a blue ball, p_bb to draw blue when blue is drawn in...
  4. R

    Optimizing the Penalty in an Urn Problem: A Scientific Approach

    Well, I did have some progression before I went to my teachers. The expectation value of the first turn is easy, \begin{equation} \mathbb{E}\left[ {{B_1}} \right] = \frac{b}{{r + b}} \end{equation}. And also it is not hard to find that \begin{equation} \mathbb{P}\left[ {\left. {{B_n}...
  5. R

    Optimizing the Penalty in an Urn Problem: A Scientific Approach

    Hi viraltux, Well, sometimes when I get bored during lectures, I make up my own questions to see if I can answer them. And this one was quite hard. :P I asked some of my old teachers if they can give me some hints, but they couldn't give me an explicit expression either. For question 1 a...
  6. R

    Optimizing the Penalty in an Urn Problem: A Scientific Approach

    Consider an urn with r red balls and b blue balls. In every turn, one ball is drawn. When a red ball is drawn, it is put back in the urn together with some extra R red balls. When a blue ball is drawn, it is left outside the urn. The questions are: 1. What is the expectation value of...
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