Relative Fisher information ($I(f\mid g)=\int |\nabla \log (f/g){|}^{2}f$)

For sufficiently regular positive probability densities, this compares their spatial logarithmic derivatives. It is the dissipation functional for relative entropy under suitable diffusion equations. For standard Gaussian $g=\gamma$, it becomes $\int |\nabla \log f+v{|}^{2}f$, and in one dimension equals $\int |f^{\prime }{|}^2/f+\int v^{2}f-2$ at unit mass.

The differential estimate $I^{\prime }(t)\le -2I(t)$ gives the displayed exponential bound by an integrating factor. Start at any time with finite information. Combining this with a zero limiting entropy yields $H(f_t\mid \gamma )={\int }_t^{\infty }I(s)ds\le I(t)/2$.