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Timeline for A balls-and-colours problem

Current License: CC BY-SA 2.5

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Jul 21, 2023 at 19:13 comment added Hugo van der Sanden @TengLong see the second paragraph for explanation.
Jul 20, 2023 at 12:11 comment added Teng Long Could you explain why the probability from k to (k+1) is (k+1)(n-k)/n(n-1)? Wouldn't it be k(n-k)/n(n-1) for both k+1 and k-1.
May 10, 2020 at 23:17 comment added Hugo van der Sanden You asked "By weighted, do you mean conditioned on the chance cc will be the final color?" I guess so; more precisely I mean the wording from my reply: "we need to take account of the fact that not all selections are equally probable: each selection must be multiplied by the probability that it results in cc being the eventual colour."
May 9, 2020 at 19:51 comment added anonuser01 My $E[N_j]|F_1]$ is equivalent to your $E_j$. But yeah, it took me a lot more work to get to where you got.
May 9, 2020 at 19:49 comment added anonuser01 Then I just worked with E[N_n|F_1]. So we can write $$ E[N_i|F_1] = 1 + \sum_{j = \{i+1, i, i-1\}} p_{ij}|F_1 E[N_j|F_1] $$ $p_{ij}$ is the transition probability from state $i$ to $j$ and we are conditioning this on $F_1$
May 9, 2020 at 19:47 comment added anonuser01 By weighted, do you mean conditioned on the chance $c$ will be the final color? I arrived at the same equation, but it look me like a lot of work :(. I basically did $$ E[N_n] = \sum_{i=1}^{n} E[N_n|F_i]P(F_i) $$ where $F_i$ is the event that all balls will end up the $i-th$ color and $N_n$ is the number of steps needed to make all balls the same color. Thus we have $$ E[N_n] = E[N_n|F_1] = \cdots = E[N_n|F_n] $$
May 9, 2020 at 18:23 comment added Hugo van der Sanden The essence is: we have k balls of our target colour, what will the effect of the next pick be? We're making a pick, hence the +1, and then calculating the chances that we'll then have respectively k+1, k-1 or k balls coloured c after the pick, in each case weighted by the chance that c will be the final colour in this case.
May 8, 2020 at 15:32 comment added anonuser01 It took me a while to arrive at the same expression as you for $E_k$. Could you expand on how you determined this relation so quickly?
Oct 13, 2010 at 15:31 history answered Hugo van der Sanden CC BY-SA 2.5