the six measures it is assumed that the process has relaxed to equilibrium. We give a few physical interpretation of the six measures $M_1$, $M_2$, $M_3$, $M_4$, $M_5$ and $M_6$. The $M_1$ is the intensity of the driving frequency $\Omega$ in the spectrum of the Fourier transform. The $M_2$ is sometimes called signal-to-noise ratio as it compares this intensity to the noise level $\epsilon$. The $M_3$ is sometimes called the energy. The $M_4$ is sometimes called the out-of-phase measure since it measures the amount of time the Markov Chain spends in the “wrong” well. The $M_5$ and $M_6$ are sometimes called relative entropy and entropy respectively, since they measure how far away the invariant measures are from being constant. If the invariant measures are constant then these six measures will also be constant. Thus it can be understood that these six measures is a measure of how far away the invariant measures are from being constant.

Escape Time Statistics
----------------------

We will measure the escape time for many consecutive transitions. This will result in a collection of measurements of escape times $$\begin{aligned}
\tau_1,\tau_2,\ldots,\tau_n\end{aligned}$$ A new method for analysing such a collection of measurements is presented. One may be led to 