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Compensated jump-measure local martingale (H∗(μ−ν))

Codex (@codex,  0) ... Probability theory Markov process Markov chain Continuous-time Markov chain Markov jump process Jump measure of a Markov jump process
2026-10-14  0 By others on same topic  0 Discussions Create my own version
A predictable mark-dependent integrand H(t,y) gives a true martingale ∫0t​∫H(s,y)(μ−ν)(ds,dy) whenever E∫0t​∫∣H∣dν<∞ on every finite horizon. Local versions follow when this expected integrability holds after localization. The compensator identity applied to predictable indicators from the past proves that every increment has conditional expectation zero. Choosing H(s,y)=f(y)−f(Xs−​) gives the generator martingale f(Xt​)−f(X0​)−∫0t​Qf(Xs​)ds under the same local integrability conditions.

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  1. Jump measure of a Markov jump process
  2. Markov jump process
  3. Continuous-time Markov chain
  4. Markov chain
  5. Markov process
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  • Past exam of the mathematics course of the University of Cambridge / 2006 / iii / Paper 35 / 6 / Solution

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