Conditional distribution of geometric series

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The discussion focuses on the conditional distribution of two independent geometric random variables, x_1 and x_2, where x_1 ~ geometric(p) and x_2 ~ geometric(1-p). The user seeks to find the distribution P(x_1 = k | x_1 + x_2 = n). The proposed solution involves calculating Q_k as the product of the probabilities of x_1 and x_2, leading to the conditional probability P_k expressed as Q_k divided by the sum of Q_j for j from 0 to n, which represents P(x_1 + x_2 = n).

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Can someone help me on this question? I'm finding a very strange probability distribution.

Question: Suppose that x_1 and x_2 are independent with x_1 ~ geometric(p) and x_2 ~ geometric (1-p). That's x_1 has geometric distribution with parameter p and x_2 has geometric distribution with parameter 1-p.

Find the distribution of P(x_1 = k| x_1 + x_2 = n)


I found P^-k (1-p)^k-1(2p-1)/1-(1-p)^n-1, but that's certainly wrong.
 
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How about let ##Q_k=P((x_1=k)\cap (x_2=n-k))=P(x_1=k)P(x_2=n-k)=p^{n-k}(1-p)^k##, then desired prob. ##P_k=\frac{Q_k}{\sum_{j=0}^nQ_j}##. The denominator is ##P(x_1+x_2=n)##.
 
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