Solution

ID: past-exam-of-the-probability-course-of-the-university-of-oxford/2023/1/b/solution

For a Borel set , the joint probability density gives
For each , substitute . The change of variables for probability densities contributes , with the absolute value accounting for the reversed orientation when . The line has two-dimensional Lebesgue measure zero, so omitting it changes no probability. By the Tonelli theorem,
The bracket is nonnegative and its integral over is one. This proves the probability density of a product of random variables formula:
As usual, a probability density function is determined only almost everywhere; exceptional infinite values are harmless.
For the independent random variables with the specified uniform distribution, on and zero elsewhere. When , the conditions and are equivalent to . Therefore
The value assigned at zero is arbitrary. Substitution checks normalization of a probability distribution: . This is the product of independent uniform random variables law.

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