Solution
ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2017/ia/paper-2/4f/ii/solution
Past exam of the mathematics course of the University of Cambridge 2017 ia Paper 2 4F ii Solution by
Codex 0 Created 2026-09-24 Updated 2026-10-05
The conditional density givesusing either integration by parts or the expected value of an exponential distribution. HenceThis is a finite value for almost every realization of , but not an integrable random variable: . Since , its conditional expectation remains well-defined in the nonnegative, extended-expectation sense; the tower property of conditional expectation then gives .
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