So, under this adjustment, the pdf of $X$ independent of $Y$ is given by $P(X) : \Bbb{R}^2 \to [0,1]$ and the pdf of Y independent of X is given by $P(Y) : \Bbb{R}^2 \to [0,1]$. The quesiton then becomes an optimisation problem of minimising the eucledian metric of points X and Y subjected to the constraint that the correlation of X and Y is maximised.
The dream's version has P(X) and P(Y) having some asymmetric lorentzian shape, but I think it isn't hurt to generalise from that into arbitrary continuous pdfs.