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Let $X$ and $Y$ be continuous random variables with probability density function as $p_x(X)$ and $p_y(Y)$. If $X$ and $Y$ are related by an invertible function $f$ as $f(X)=Y$, then using change of variable trick, we know that

$p_x(X) = p_y(Y) \left| det( \frac{\partial Y}{\partial X} ) \right| $

where det(.) is a determinant of a matrix.

Question: If $p_x(X)$ and $p_y(Y)$ are fixed, then is $f$ unique?

For example, suppose $X$ is Gaussian random variable with $\mu=0, \sigma=1$ and $Y$ is beta random variable with $\alpha=\beta=2$, then can we say that there exist a unique invertible function $f$ which converts $X$ to $Y$?

Kulin Shah
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  • All continuous distributions can be related by invertible functions in uncountably many ways. See ["probability integral transform"](https://stats.stackexchange.com/search?q=probABILITY+integral+transform). See https://stats.stackexchange.com/questions/200380/normal-distribution-existence-non-affine-invariant-transformation/200407#200407 for illustrations of some of them. – whuber Sep 23 '19 at 15:12

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