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Dec 22, 2022 at 5:19 comment added zzzhhh @Carlo Beenakker: Thank you. As you commented, I think $O(\xi^3)$ here has nothing to do with regular big-O notation. It is only "a sloppy notation" meaning that it is a small number (a third or second moment of $\xi$ multiplied by a finite integral which is still small by assumption), so it can be discarded safely.
Dec 21, 2022 at 15:03 comment added Carlo Beenakker the point I want to make is that it makes no sense to write $\mathbb E[\xi^2]=O(\xi^2)$ ; it should be $\mathbb E[\xi^2]=O(\sigma^2)$, I presume this is just a sloppy notation of the author.
Dec 21, 2022 at 10:38 comment added zzzhhh @Carlo Beenakker: Since the distribution of $\xi$ has a zero mean and small variance, $\xi$ is also small most of the time, hence $\xi^3$, $O(\xi^3)$ and the integral of $(1)$. I just cannot formulate this idea rigorously in math.
Dec 21, 2022 at 9:01 comment added Carlo Beenakker I presume that the author means ${\cal O}(\sigma^3)$ rather than ${\cal O}(\xi^3)$, where $\sigma^2$ is the variance of $\xi$ (assumed to be small)
Dec 21, 2022 at 8:19 review Close votes
Jan 5, 2023 at 3:06
Dec 21, 2022 at 7:46 history edited Daniele Tampieri CC BY-SA 4.0
Minor Math Jaxing (formula hyperlinking)
Dec 21, 2022 at 7:40 history edited zzzhhh CC BY-SA 4.0
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S Dec 21, 2022 at 7:31 review First questions
Dec 21, 2022 at 15:16
S Dec 21, 2022 at 7:31 history asked zzzhhh CC BY-SA 4.0