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Jan 18, 2019 at 20:29 comment added Xi'an ... (assuming $\Omega$ is the set of all possible realisations and not the standard origin set for the random variable $X=X(\omega)$...)
Jan 18, 2019 at 20:23 comment added Xi'an How are $\Omega$ and $\mathcal{F}$ defined in the first quote? A pmf associates to every possible realisation of the random variable $X$ in $\Omega$ a probability between $0$ and $1$ so I see no issue with this definition. And $\mathbb{1}A(x)$ is the indicator function, taking value $0$ when $x\not\in A$ and $1$ when $x\in A$. Which is a notion unrelated with random variables.
Jan 18, 2019 at 17:19 comment added whuber +1 The notation in that document is shockingly sloppy. You can readily resolve your questions, though, by consulting Wikipedia. See, e.g., en.wikipedia.org/wiki/Probability_mass_function.
Jan 18, 2019 at 16:27 history asked Noah Stebbins CC BY-SA 4.0