Let $\mu,\nu:\mathbb{R}^d\to \mathbb{R}$ be probability densities. Let $T:\mathbb{R}^d\to \mathbb{R}^d$ be some vector field.
I define the push forward of a density $\mu$ by $T$ as $T_{\#}\mu(x)=\mu(T^{-1}(x))|JT^{-1}(x)|$ for $x\in\mathbb{R}^d$. Where $J$ is the $J$ is the jacobian, and the $|\cdot|$ is the determinant of that matrix. Now for some vector field $w$ I have a PDE which is solved by some function $u:[0,1]\times \mathbb{R}^d\to \mathbb{R}$
$$ \partial_t u+\text{div}(wu)=0,~~~~u(0)=X_{\#}\mu,~u(1)=\nu. $$