Abstract
Let be a Gaussian measure on a locally convex space and be the corresponding Cameron-Martin space. It has been recently shown by L. Ambrosio and A. Figalli that the linear first-order PDE $$ \dotρ + \mbox{div}_γ (ρ\cdot {b}) =0, \ \ ρ|_{t=0} = ρ_0, $$ where is a probability measure, admits a weak solution, in particular, under the following assumptions: $$ \|b\|_{H} \in L^p(γ), \ p>1, \ \ \ \exp\bigl(\varepsilon(\mbox{\rm div}_γ b)_{-} \bigr) \in L^1(γ). $$ Applying transportation of measures via triangular maps we prove a similar result for a large class of non-Gaussian probability measures on , under the main assumption that $β_i \in \cap_{n \in \Nat} L^{n}(ν)$ for every $i \in \Nat$, where is the logarithmic derivative of along the coordinate . We also show uniqueness of the solution for a wide class of measures. This class includes uniformly log-concave Gibbs measures and certain product measures. measures.
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