  By developing a new technique called the bi-coupling argument, we estimate
the relative entropy between different diffusion processes in terms of the
distances of initial distributions and drift-diffusion coefficients. As an
application, the entropy-cost inequality is established for nonlinear
Fokker-Planck equations, which has potential applications in optimal transport,
information theory and mean field particle systems.
