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S Jun 6, 2022 at 22:00 history bounty ended CommunityBot
S Jun 6, 2022 at 22:00 history notice removed CommunityBot
Jun 3, 2022 at 13:04 history edited Nawaf Bou-Rabee CC BY-SA 4.0
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Jun 3, 2022 at 12:59 comment added 0xbadf00d @NawafBou-Rabee Thanks for mentioning. I've fixed the definition. However, meanwhile I think the question boils down to the following easier to describte question: math.stackexchange.com/q/4464715/47771. Maybe you can take a look.
Jun 3, 2022 at 12:58 history edited 0xbadf00d CC BY-SA 4.0
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May 31, 2022 at 19:29 history edited Nawaf Bou-Rabee CC BY-SA 4.0
corrected a misprint in (2)
S May 29, 2022 at 20:22 history bounty started 0xbadf00d
S May 29, 2022 at 20:22 history notice added 0xbadf00d Canonical answer required
May 28, 2022 at 17:49 answer added John Dawkins timeline score: 1
May 28, 2022 at 9:27 comment added 0xbadf00d @NateEldredge Assuming $E$ is discrete, do you mean to directly calculate $\operatorname P_\mu[X_{s+t}=x\mid\mathcal F_s]=\sum_{k=1}^\infty\operatorname P_\mu\left[s+t\in\left[\sum_{i=1}^{k-1}\tau_i,\sum_{i=1}^k\tau_i\right),Y^{(k)}_{s+t-\sum_{i=1}^{k-1}\tau_i}=x\mid\mathcal F_s\right]$? Seems still to be quite cumbersome.
May 28, 2022 at 9:10 comment added 0xbadf00d @NateEldredge Thank you very much for your helpful comment. Do you sugget to directly calculate $(Cf)(x)=\lim_{t\to0+}\frac{(T_tf)(x)-f(x)}t$, where $(T_tf)(x)=\operatorname E_x[f(X_t)]$, in these cases?
May 28, 2022 at 0:59 comment added Nate Eldredge A good start would be to take $A=0$, so that $X$ is a continuous-time Markov chain, and convince yourself that the formula gives the correct generator. Letting $E$ be discrete may make it even more clear.
May 27, 2022 at 14:27 history asked 0xbadf00d CC BY-SA 4.0