%%% fokker.tex

\chapter{General transformation of the 1D Fokker-Planck equation}
\label{ap:fokker}

In this Appendix, I show how the drift and diffusion terms $\cdots$

% etc

% example figure:

\begin{figure}[t]
\centerline{\epsfig{figure=fig1.eps,width=5in}}
\caption[Probability density on the surface $\Omega(E,t)$]{
Projecting a probability density on the surface $\Omega(E,t)$
down to $\rho(E,t)$ in the $E-t$ plane,
or across to $\eta(\Omega,t)$ in the $\Omega-t$ plane.
The gradient $g$ is also shown.
}
\label{fig:fokker}
\end{figure}


We assume a one-to-one time-dependent mapping $\Omega = \Omega(E,t)$,
which can be represented as a (fixed) surface in
three-dimensional $(E,t,\Omega)$ space (Fig. \ref{fig:fokker}).
 $\cdots$



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