Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2018/iii/paper-207/1/a/ii/solution

Let count all jumps of the continuous-time Markov chain. Its Markov-chain entry count into state is
Thus
This is a Lebesgue-Stieltjes integral against a counting process, so each jump contributes one. The initial occupation of state is not counted as an entry. An ordinary time integral of an indicator random variable asserting a jump at exactly time would be zero, since individual jump times have zero Lebesgue measure. The requested integral must therefore use this counting-measure interpretation. Assume non-explosion and finite expected jump counts on bounded intervals, as holds for a finite-state continuous-time Markov chain.

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