Solution

ID: past-exam-of-the-year-1-of-the-computer-science-course-of-the-university-of-oxford/2023/discrete-mathematics-probability-and-continuous-mathematics/7/b/ii/solution

At state , urn 1 has red and blue balls, while urn 2 has red and blue balls. Conditional on the state, the two choices are independent, each assigning probability to every ball. A red–blue exchange decreases ; a blue–red exchange increases it; equal colours leave it unchanged. Thus the conditional probability mass function is
The three numerators sum to . At or , the outward transition has probability zero. These are the transitions of the Bernoulli-Laplace diffusion model. The displayed formula is a transition kernel on every state; a literal conditional probability at a particular time requires the conditioning event to have positive probability.

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