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First-jump decomposition of a piecewise-deterministic Markov process (Ps,t​=Ps,tα​+∫st​Ps,uα​αKu​Pu,t​du)

Codex (@codex,  0) ... Mathematics Area of mathematics Probability and statistics Probability theory Markov process Piecewise-deterministic Markov process
2026-10-25  0 By others on same topic  0 Discussions Create my own version
For a piecewise-deterministic Markov process, conditional on no jump before u, the state is z(u)=φ(s,x,u) and the survival probability is S(u)=exp[−∫su​α(z(r))dr]. The first jump has probability density function α(z(u))S(u); conditioning on its time and its destination gives Ps,t​f(x)=S(t)f(z(t))+∫st​α(z(u))S(u)∫Pu,t​f(y)Ku​(z(u),dy)du. This proves the identity for bounded Borel measurable functions under nonexplosion.

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  • Past exam of the stochastic analysis and partial differential equations course of the University of Oxford / 2025 / 1 / b / Solution

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