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Mar 18, 2021 at 15:21 comment added Christian Chapman I'm guessing that you're trying to formalize a notion similar to this: $${}$$ "$X_1$ and $X_2$ are like $X$, but with different types of noise. $Z$ is a mixing of $X_1$ and $X_2$. There is also some process $Y(\cdot)$ that acts on RVs that live in $\mathcal{X}$. Can I always mix $Z$ so that I learn less about $Y(Z)$ from $Z$ than I learn about $Y(X)$ from $X$?". $${}$$ The answer seems like yes, but what you've written isn't quite the right formalization yet. In particular you need to more closely specify the nature of $X_1$ and $X_2$ (and more cleanly specify the entire problem).
Mar 18, 2021 at 15:09 comment added Christian Chapman What's more, as you've written it, the LHS $D(P_{Y|Z}|P_{Y_2})$ is going to be a random variable depending on $Z$ and the RHS is a RV depending on $X$. I'm not sure that this is what you are really after.
Mar 18, 2021 at 14:59 comment added Christian Chapman Math_Y, your definitions are too lax. Nothing about X1, X2 enforces that Z resemble or preserves information about X in any way. This leaves the two sides of your desired inequality unrelated.
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Sep 2, 2020 at 15:58 comment added Iosif Pinelis Can you restate your question in formal mathematical terms, without using such terms as "channels", "cross", and "produce"? Also, even though one could guess what you mean by $\bar\lambda$, can you still define this symbol? Also, by $X\in\mathcal X$ you apparently mean "$X$ takes values in $\mathcal X$", which is of course quite different from $X\in\mathcal X$.
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Sep 2, 2020 at 15:02 history asked Math_Y CC BY-SA 4.0