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Jan 2, 2022 at 17:07 comment added John Dawkins The equality is shown for $H=1_B$. By linearity it extends to non-neg simple functions (positive linear combinations of indicators). Arbitrary $H\ge 0$ is the incr. limit of a sequence of simple functions.
Jan 2, 2022 at 15:42 vote accept gigalord
Jan 2, 2022 at 14:06 comment added gigalord Thank you! I am not sure I follow the last step though. What do you mean by "usual simple function approximation"?
Jan 1, 2022 at 18:18 comment added Alex M. Oh, then it's probably $\int _\Omega H \, \mathrm d [f(x, \cdot)]$.
Jan 1, 2022 at 18:15 comment added John Dawkins No. My notation is also poorly chosen! The inner integral on the right is intended to be the integral of $H$ with respect to the measure $f(x,\cdot)$. Perhaps I should have used the probabilist's notation $\int_\Omega H(\omega) f(x,d\omega)$.
Jan 1, 2022 at 18:04 comment added Alex M. The OP's notations are somewhat poorly chosen, leading one to commit the error that you yourself make above: the second argument of $f$ is not a point $\omega \in \Omega$, but a measurable subset $B \in \Sigma$, rendering the inner integral on the right side meaningless.
Jan 1, 2022 at 17:56 history answered John Dawkins CC BY-SA 4.0